Timeframe
5m
Direction
Long Only
Stoploss
-99.0%
Trailing Stop
No
ROI
0m: 1000.0%
Interface Version
2
Startup Candles
N/A
Indicators
16
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
import logging
import pathlib
import rapidjson
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy as np
import talib.abstract as ta
from freqtrade.misc import json_load
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes
from freqtrade.strategy import DecimalParameter, IntParameter, CategoricalParameter
from pandas import DataFrame, Series
from functools import reduce
import math
from freqtrade.persistence import Trade
from datetime import datetime, timedelta
from technical.util import resample_to_interval, resampled_merge
from technical.indicators import zema
import pandas_ta as pta
log = logging.getLogger(__name__)
###########################################################################################################
## NostalgiaForInfinityV8 by iterativ ##
## ##
## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ##
## ##
###########################################################################################################
## GENERAL RECOMMENDATIONS ##
## ##
## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ##
## A pairlist with 40 to 80 pairs. Volume pairlist works well. ##
## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ##
## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ##
## Ensure that you don't override any variables in you config.json. Especially ##
## the timeframe (must be 5m). ##
## use_sell_signal must set to true (or not set at all). ##
## sell_profit_only must set to false (or not set at all). ##
## ignore_roi_if_buy_signal must set to true (or not set at all). ##
## ##
###########################################################################################################
## HOLD SUPPORT ##
## In case you want to have SOME of the trades to only be sold when on profit, add a file named ##
## "hold-trades.json" in the same directory as this strategy. ##
## ##
## The contents should be similar to: ##
## ##
## {"trade_ids": [1, 3, 7, ...], "profit_ratio": 0.005} ##
## ##
## ##
## DO NOTE that `trade_ids` is a list of integers, the trade ID's, which you can get from the logs ##
## or from the output of the telegram status command. ##
## ##
###########################################################################################################
## DONATIONS ##
## ##
## Absolutely not required. However, will be accepted as a token of appreciation. ##
## ##
## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ##
## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ##
## BEP20/BSC (ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ##
## ##
###########################################################################################################
class NostalgiaForInfinityV8_9_1(IStrategy):
INTERFACE_VERSION = 2
# # ROI table:
minimal_roi = {
"0": 10,
}
stoploss = -0.99
# Trailing stoploss (not used)
trailing_stop = False
trailing_only_offset_is_reached = True
trailing_stop_positive = 0.01
trailing_stop_positive_offset = 0.03
use_custom_stoploss = False
# Optimal timeframe for the strategy.
timeframe = '5m'
res_timeframe = 'none'
info_timeframe = '1h'
has_BTC_base_tf = False
has_BTC_info_tf = True
# Run "populate_indicators()" only for new candle.
process_only_new_candles = True
# These values can be overridden in the "ask_strategy" section in the config.
use_sell_signal = True
sell_profit_only = False
ignore_roi_if_buy_signal = True
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 480
# Optional order type mapping.
order_types = {
'buy': 'limit',
'sell': 'limit',
'trailing_stop_loss': 'limit',
'stoploss': 'limit',
'stoploss_on_exchange': False
}
#############################################################
buy_params = {
#############
# Enable/Disable conditions
"buy_condition_1_enable": True,
"buy_condition_2_enable": True,
"buy_condition_3_enable": True,
"buy_condition_4_enable": True,
"buy_condition_5_enable": True,
"buy_condition_6_enable": True,
"buy_condition_7_enable": True,
"buy_condition_8_enable": True,
"buy_condition_9_enable": True,
"buy_condition_10_enable": True,
"buy_condition_11_enable": True,
"buy_condition_12_enable": True,
"buy_condition_13_enable": True,
"buy_condition_14_enable": True,
"buy_condition_15_enable": True,
"buy_condition_16_enable": True,
"buy_condition_17_enable": True,
"buy_condition_18_enable": True,
"buy_condition_19_enable": True,
"buy_condition_20_enable": True,
"buy_condition_21_enable": True,
"buy_condition_22_enable": True,
"buy_condition_23_enable": True,
"buy_condition_24_enable": True,
"buy_condition_25_enable": True,
"buy_condition_26_enable": True,
"buy_condition_27_enable": True,
"buy_condition_28_enable": True,
"buy_condition_29_enable": True,
"buy_condition_30_enable": True,
"buy_condition_31_enable": True,
#############
}
sell_params = {
#############
# Enable/Disable conditions
"sell_condition_1_enable": True,
"sell_condition_2_enable": True,
"sell_condition_3_enable": True,
"sell_condition_4_enable": True,
"sell_condition_5_enable": True,
"sell_condition_6_enable": True,
"sell_condition_7_enable": True,
"sell_condition_8_enable": True,
#############
}
#############################################################
buy_protection_params = {
1: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="26", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="28", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="80", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="70", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
2: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="20", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
3: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
4: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="20", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
5: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["50","100","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
6: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
7: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="12", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
8: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="12", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="120", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
9: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
10: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
11: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
12: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
13: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
14: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="70", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
15: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
16: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="50", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
17: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="120", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
18: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="44", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="72", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="60", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
19: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
20: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
21: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="90", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
22: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
23: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
24: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
25: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="20", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
26: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
27: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True)
},
28: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True)
},
29: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
30: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
},
31: {
"enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True),
"ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True),
"close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True),
"close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="100", space='buy', optimize=False, load=True),
"sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True),
"sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True),
"safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_dips_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True),
"safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True),
"safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True),
"safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True),
"btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True)
}
}
buy_condition_1_enable = buy_protection_params[1]["enable"]
buy_1_protection__ema_fast = buy_protection_params[1]["ema_fast"]
buy_1_protection__ema_fast_len = buy_protection_params[1]["ema_fast_len"]
buy_1_protection__ema_slow = buy_protection_params[1]["ema_slow"]
buy_1_protection__ema_slow_len = buy_protection_params[1]["ema_slow_len"]
buy_1_protection__close_above_ema_fast = buy_protection_params[1]["close_above_ema_fast"]
buy_1_protection__close_above_ema_fast_len = buy_protection_params[1]["close_above_ema_fast_len"]
buy_1_protection__close_above_ema_slow = buy_protection_params[1]["close_above_ema_slow"]
buy_1_protection__close_above_ema_slow_len = buy_protection_params[1]["close_above_ema_slow_len"]
buy_1_protection__sma200_rising = buy_protection_params[1]["sma200_rising"]
buy_1_protection__sma200_rising_val = buy_protection_params[1]["sma200_rising_val"]
buy_1_protection__sma200_1h_rising = buy_protection_params[1]["sma200_1h_rising"]
buy_1_protection__sma200_1h_rising_val = buy_protection_params[1]["sma200_1h_rising_val"]
buy_1_protection__safe_dips = buy_protection_params[1]["safe_dips"]
buy_1_protection__safe_dips_type = buy_protection_params[1]["safe_dips_type"]
buy_1_protection__safe_pump = buy_protection_params[1]["safe_pump"]
buy_1_protection__safe_pump_type = buy_protection_params[1]["safe_pump_type"]
buy_1_protection__safe_pump_period = buy_protection_params[1]["safe_pump_period"]
buy_1_protection__btc_1h_not_downtrend = buy_protection_params[1]["btc_1h_not_downtrend"]
buy_condition_2_enable = buy_protection_params[2]["enable"]
buy_2_protection__ema_fast = buy_protection_params[2]["ema_fast"]
buy_2_protection__ema_fast_len = buy_protection_params[2]["ema_fast_len"]
buy_2_protection__ema_slow = buy_protection_params[2]["ema_slow"]
buy_2_protection__ema_slow_len = buy_protection_params[2]["ema_slow_len"]
buy_2_protection__close_above_ema_fast = buy_protection_params[2]["close_above_ema_fast"]
buy_2_protection__close_above_ema_fast_len = buy_protection_params[2]["close_above_ema_fast_len"]
buy_2_protection__close_above_ema_slow = buy_protection_params[2]["close_above_ema_slow"]
buy_2_protection__close_above_ema_slow_len = buy_protection_params[2]["close_above_ema_slow_len"]
buy_2_protection__sma200_rising = buy_protection_params[2]["sma200_rising"]
buy_2_protection__sma200_rising_val = buy_protection_params[2]["sma200_rising_val"]
buy_2_protection__sma200_1h_rising = buy_protection_params[2]["sma200_1h_rising"]
buy_2_protection__sma200_1h_rising_val = buy_protection_params[2]["sma200_1h_rising_val"]
buy_2_protection__safe_dips = buy_protection_params[2]["safe_dips"]
buy_2_protection__safe_dips_type = buy_protection_params[2]["safe_dips_type"]
buy_2_protection__safe_pump = buy_protection_params[2]["safe_pump"]
buy_2_protection__safe_pump_type = buy_protection_params[2]["safe_pump_type"]
buy_2_protection__safe_pump_period = buy_protection_params[2]["safe_pump_period"]
buy_2_protection__btc_1h_not_downtrend = buy_protection_params[2]["btc_1h_not_downtrend"]
buy_condition_3_enable = buy_protection_params[3]["enable"]
buy_3_protection__ema_fast = buy_protection_params[3]["ema_fast"]
buy_3_protection__ema_fast_len = buy_protection_params[3]["ema_fast_len"]
buy_3_protection__ema_slow = buy_protection_params[3]["ema_slow"]
buy_3_protection__ema_slow_len = buy_protection_params[3]["ema_slow_len"]
buy_3_protection__close_above_ema_fast = buy_protection_params[3]["close_above_ema_fast"]
buy_3_protection__close_above_ema_fast_len = buy_protection_params[3]["close_above_ema_fast_len"]
buy_3_protection__close_above_ema_slow = buy_protection_params[3]["close_above_ema_slow"]
buy_3_protection__close_above_ema_slow_len = buy_protection_params[3]["close_above_ema_slow_len"]
buy_3_protection__sma200_rising = buy_protection_params[3]["sma200_rising"]
buy_3_protection__sma200_rising_val = buy_protection_params[3]["sma200_rising_val"]
buy_3_protection__sma200_1h_rising = buy_protection_params[3]["sma200_1h_rising"]
buy_3_protection__sma200_1h_rising_val = buy_protection_params[3]["sma200_1h_rising_val"]
buy_3_protection__safe_dips = buy_protection_params[3]["safe_dips"]
buy_3_protection__safe_dips_type = buy_protection_params[3]["safe_dips_type"]
buy_3_protection__safe_pump = buy_protection_params[3]["safe_pump"]
buy_3_protection__safe_pump_type = buy_protection_params[3]["safe_pump_type"]
buy_3_protection__safe_pump_period = buy_protection_params[3]["safe_pump_period"]
buy_3_protection__btc_1h_not_downtrend = buy_protection_params[3]["btc_1h_not_downtrend"]
buy_condition_4_enable = buy_protection_params[4]["enable"]
buy_4_protection__ema_fast = buy_protection_params[4]["ema_fast"]
buy_4_protection__ema_fast_len = buy_protection_params[4]["ema_fast_len"]
buy_4_protection__ema_slow = buy_protection_params[4]["ema_slow"]
buy_4_protection__ema_slow_len = buy_protection_params[4]["ema_slow_len"]
buy_4_protection__close_above_ema_fast = buy_protection_params[4]["close_above_ema_fast"]
buy_4_protection__close_above_ema_fast_len = buy_protection_params[4]["close_above_ema_fast_len"]
buy_4_protection__close_above_ema_slow = buy_protection_params[4]["close_above_ema_slow"]
buy_4_protection__close_above_ema_slow_len = buy_protection_params[4]["close_above_ema_slow_len"]
buy_4_protection__sma200_rising = buy_protection_params[4]["sma200_rising"]
buy_4_protection__sma200_rising_val = buy_protection_params[4]["sma200_rising_val"]
buy_4_protection__sma200_1h_rising = buy_protection_params[4]["sma200_1h_rising"]
buy_4_protection__sma200_1h_rising_val = buy_protection_params[4]["sma200_1h_rising_val"]
buy_4_protection__safe_dips = buy_protection_params[4]["safe_dips"]
buy_4_protection__safe_dips_type = buy_protection_params[4]["safe_dips_type"]
buy_4_protection__safe_pump = buy_protection_params[4]["safe_pump"]
buy_4_protection__safe_pump_type = buy_protection_params[4]["safe_pump_type"]
buy_4_protection__safe_pump_period = buy_protection_params[4]["safe_pump_period"]
buy_4_protection__btc_1h_not_downtrend = buy_protection_params[4]["btc_1h_not_downtrend"]
buy_condition_5_enable = buy_protection_params[5]["enable"]
buy_5_protection__ema_fast = buy_protection_params[5]["ema_fast"]
buy_5_protection__ema_fast_len = buy_protection_params[5]["ema_fast_len"]
buy_5_protection__ema_slow = buy_protection_params[5]["ema_slow"]
buy_5_protection__ema_slow_len = buy_protection_params[5]["ema_slow_len"]
buy_5_protection__close_above_ema_fast = buy_protection_params[5]["close_above_ema_fast"]
buy_5_protection__close_above_ema_fast_len = buy_protection_params[5]["close_above_ema_fast_len"]
buy_5_protection__close_above_ema_slow = buy_protection_params[5]["close_above_ema_slow"]
buy_5_protection__close_above_ema_slow_len = buy_protection_params[5]["close_above_ema_slow_len"]
buy_5_protection__sma200_rising = buy_protection_params[5]["sma200_rising"]
buy_5_protection__sma200_rising_val = buy_protection_params[5]["sma200_rising_val"]
buy_5_protection__sma200_1h_rising = buy_protection_params[5]["sma200_1h_rising"]
buy_5_protection__sma200_1h_rising_val = buy_protection_params[5]["sma200_1h_rising_val"]
buy_5_protection__safe_dips = buy_protection_params[5]["safe_dips"]
buy_5_protection__safe_dips_type = buy_protection_params[5]["safe_dips_type"]
buy_5_protection__safe_pump = buy_protection_params[5]["safe_pump"]
buy_5_protection__safe_pump_type = buy_protection_params[5]["safe_pump_type"]
buy_5_protection__safe_pump_period = buy_protection_params[5]["safe_pump_period"]
buy_5_protection__btc_1h_not_downtrend = buy_protection_params[5]["btc_1h_not_downtrend"]
buy_condition_6_enable = buy_protection_params[6]["enable"]
buy_6_protection__ema_fast = buy_protection_params[6]["ema_fast"]
buy_6_protection__ema_fast_len = buy_protection_params[6]["ema_fast_len"]
buy_6_protection__ema_slow = buy_protection_params[6]["ema_slow"]
buy_6_protection__ema_slow_len = buy_protection_params[6]["ema_slow_len"]
buy_6_protection__close_above_ema_fast = buy_protection_params[6]["close_above_ema_fast"]
buy_6_protection__close_above_ema_fast_len = buy_protection_params[6]["close_above_ema_fast_len"]
buy_6_protection__close_above_ema_slow = buy_protection_params[6]["close_above_ema_slow"]
buy_6_protection__close_above_ema_slow_len = buy_protection_params[6]["close_above_ema_slow_len"]
buy_6_protection__sma200_rising = buy_protection_params[6]["sma200_rising"]
buy_6_protection__sma200_rising_val = buy_protection_params[6]["sma200_rising_val"]
buy_6_protection__sma200_1h_rising = buy_protection_params[6]["sma200_1h_rising"]
buy_6_protection__sma200_1h_rising_val = buy_protection_params[6]["sma200_1h_rising_val"]
buy_6_protection__safe_dips = buy_protection_params[6]["safe_dips"]
buy_6_protection__safe_dips_type = buy_protection_params[6]["safe_dips_type"]
buy_6_protection__safe_pump = buy_protection_params[6]["safe_pump"]
buy_6_protection__safe_pump_type = buy_protection_params[6]["safe_pump_type"]
buy_6_protection__safe_pump_period = buy_protection_params[6]["safe_pump_period"]
buy_6_protection__btc_1h_not_downtrend = buy_protection_params[6]["btc_1h_not_downtrend"]
buy_condition_7_enable = buy_protection_params[7]["enable"]
buy_7_protection__ema_fast = buy_protection_params[7]["ema_fast"]
buy_7_protection__ema_fast_len = buy_protection_params[7]["ema_fast_len"]
buy_7_protection__ema_slow = buy_protection_params[7]["ema_slow"]
buy_7_protection__ema_slow_len = buy_protection_params[7]["ema_slow_len"]
buy_7_protection__close_above_ema_fast = buy_protection_params[7]["close_above_ema_fast"]
buy_7_protection__close_above_ema_fast_len = buy_protection_params[7]["close_above_ema_fast_len"]
buy_7_protection__close_above_ema_slow = buy_protection_params[7]["close_above_ema_slow"]
buy_7_protection__close_above_ema_slow_len = buy_protection_params[7]["close_above_ema_slow_len"]
buy_7_protection__sma200_rising = buy_protection_params[7]["sma200_rising"]
buy_7_protection__sma200_rising_val = buy_protection_params[7]["sma200_rising_val"]
buy_7_protection__sma200_1h_rising = buy_protection_params[7]["sma200_1h_rising"]
buy_7_protection__sma200_1h_rising_val = buy_protection_params[7]["sma200_1h_rising_val"]
buy_7_protection__safe_dips = buy_protection_params[7]["safe_dips"]
buy_7_protection__safe_dips_type = buy_protection_params[7]["safe_dips_type"]
buy_7_protection__safe_pump = buy_protection_params[7]["safe_pump"]
buy_7_protection__safe_pump_type = buy_protection_params[7]["safe_pump_type"]
buy_7_protection__safe_pump_period = buy_protection_params[7]["safe_pump_period"]
buy_7_protection__btc_1h_not_downtrend = buy_protection_params[7]["btc_1h_not_downtrend"]
buy_condition_8_enable = buy_protection_params[8]["enable"]
buy_8_protection__ema_fast = buy_protection_params[8]["ema_fast"]
buy_8_protection__ema_fast_len = buy_protection_params[8]["ema_fast_len"]
buy_8_protection__ema_slow = buy_protection_params[8]["ema_slow"]
buy_8_protection__ema_slow_len = buy_protection_params[8]["ema_slow_len"]
buy_8_protection__close_above_ema_fast = buy_protection_params[8]["close_above_ema_fast"]
buy_8_protection__close_above_ema_fast_len = buy_protection_params[8]["close_above_ema_fast_len"]
buy_8_protection__close_above_ema_slow = buy_protection_params[8]["close_above_ema_slow"]
buy_8_protection__close_above_ema_slow_len = buy_protection_params[8]["close_above_ema_slow_len"]
buy_8_protection__sma200_rising = buy_protection_params[8]["sma200_rising"]
buy_8_protection__sma200_rising_val = buy_protection_params[8]["sma200_rising_val"]
buy_8_protection__sma200_1h_rising = buy_protection_params[8]["sma200_1h_rising"]
buy_8_protection__sma200_1h_rising_val = buy_protection_params[8]["sma200_1h_rising_val"]
buy_8_protection__safe_dips = buy_protection_params[8]["safe_dips"]
buy_8_protection__safe_dips_type = buy_protection_params[8]["safe_dips_type"]
buy_8_protection__safe_pump = buy_protection_params[8]["safe_pump"]
buy_8_protection__safe_pump_type = buy_protection_params[8]["safe_pump_type"]
buy_8_protection__safe_pump_period = buy_protection_params[8]["safe_pump_period"]
buy_8_protection__btc_1h_not_downtrend = buy_protection_params[8]["btc_1h_not_downtrend"]
buy_condition_9_enable = buy_protection_params[9]["enable"]
buy_9_protection__ema_fast = buy_protection_params[9]["ema_fast"]
buy_9_protection__ema_fast_len = buy_protection_params[9]["ema_fast_len"]
buy_9_protection__ema_slow = buy_protection_params[9]["ema_slow"]
buy_9_protection__ema_slow_len = buy_protection_params[9]["ema_slow_len"]
buy_9_protection__close_above_ema_fast = buy_protection_params[9]["close_above_ema_fast"]
buy_9_protection__close_above_ema_fast_len = buy_protection_params[9]["close_above_ema_fast_len"]
buy_9_protection__close_above_ema_slow = buy_protection_params[9]["close_above_ema_slow"]
buy_9_protection__close_above_ema_slow_len = buy_protection_params[9]["close_above_ema_slow_len"]
buy_9_protection__sma200_rising = buy_protection_params[9]["sma200_rising"]
buy_9_protection__sma200_rising_val = buy_protection_params[9]["sma200_rising_val"]
buy_9_protection__sma200_1h_rising = buy_protection_params[9]["sma200_1h_rising"]
buy_9_protection__sma200_1h_rising_val = buy_protection_params[9]["sma200_1h_rising_val"]
buy_9_protection__safe_dips = buy_protection_params[9]["safe_dips"]
buy_9_protection__safe_dips_type = buy_protection_params[9]["safe_dips_type"]
buy_9_protection__safe_pump = buy_protection_params[9]["safe_pump"]
buy_9_protection__safe_pump_type = buy_protection_params[9]["safe_pump_type"]
buy_9_protection__safe_pump_period = buy_protection_params[9]["safe_pump_period"]
buy_9_protection__btc_1h_not_downtrend = buy_protection_params[9]["btc_1h_not_downtrend"]
buy_condition_10_enable = buy_protection_params[10]["enable"]
buy_10_protection__ema_fast = buy_protection_params[10]["ema_fast"]
buy_10_protection__ema_fast_len = buy_protection_params[10]["ema_fast_len"]
buy_10_protection__ema_slow = buy_protection_params[10]["ema_slow"]
buy_10_protection__ema_slow_len = buy_protection_params[10]["ema_slow_len"]
buy_10_protection__close_above_ema_fast = buy_protection_params[10]["close_above_ema_fast"]
buy_10_protection__close_above_ema_fast_len = buy_protection_params[10]["close_above_ema_fast_len"]
buy_10_protection__close_above_ema_slow = buy_protection_params[10]["close_above_ema_slow"]
buy_10_protection__close_above_ema_slow_len = buy_protection_params[10]["close_above_ema_slow_len"]
buy_10_protection__sma200_rising = buy_protection_params[10]["sma200_rising"]
buy_10_protection__sma200_rising_val = buy_protection_params[10]["sma200_rising_val"]
buy_10_protection__sma200_1h_rising = buy_protection_params[10]["sma200_1h_rising"]
buy_10_protection__sma200_1h_rising_val = buy_protection_params[10]["sma200_1h_rising_val"]
buy_10_protection__safe_dips = buy_protection_params[10]["safe_dips"]
buy_10_protection__safe_dips_type = buy_protection_params[10]["safe_dips_type"]
buy_10_protection__safe_pump = buy_protection_params[10]["safe_pump"]
buy_10_protection__safe_pump_type = buy_protection_params[10]["safe_pump_type"]
buy_10_protection__safe_pump_period = buy_protection_params[10]["safe_pump_period"]
buy_10_protection__btc_1h_not_downtrend = buy_protection_params[10]["btc_1h_not_downtrend"]
buy_condition_11_enable = buy_protection_params[11]["enable"]
buy_11_protection__ema_fast = buy_protection_params[11]["ema_fast"]
buy_11_protection__ema_fast_len = buy_protection_params[11]["ema_fast_len"]
buy_11_protection__ema_slow = buy_protection_params[11]["ema_slow"]
buy_11_protection__ema_slow_len = buy_protection_params[11]["ema_slow_len"]
buy_11_protection__close_above_ema_fast = buy_protection_params[11]["close_above_ema_fast"]
buy_11_protection__close_above_ema_fast_len = buy_protection_params[11]["close_above_ema_fast_len"]
buy_11_protection__close_above_ema_slow = buy_protection_params[11]["close_above_ema_slow"]
buy_11_protection__close_above_ema_slow_len = buy_protection_params[11]["close_above_ema_slow_len"]
buy_11_protection__sma200_rising = buy_protection_params[11]["sma200_rising"]
buy_11_protection__sma200_rising_val = buy_protection_params[11]["sma200_rising_val"]
buy_11_protection__sma200_1h_rising = buy_protection_params[11]["sma200_1h_rising"]
buy_11_protection__sma200_1h_rising_val = buy_protection_params[11]["sma200_1h_rising_val"]
buy_11_protection__safe_dips = buy_protection_params[11]["safe_dips"]
buy_11_protection__safe_dips_type = buy_protection_params[11]["safe_dips_type"]
buy_11_protection__safe_pump = buy_protection_params[11]["safe_pump"]
buy_11_protection__safe_pump_type = buy_protection_params[11]["safe_pump_type"]
buy_11_protection__safe_pump_period = buy_protection_params[11]["safe_pump_period"]
buy_11_protection__btc_1h_not_downtrend = buy_protection_params[11]["btc_1h_not_downtrend"]
buy_condition_12_enable = buy_protection_params[12]["enable"]
buy_12_protection__ema_fast = buy_protection_params[12]["ema_fast"]
buy_12_protection__ema_fast_len = buy_protection_params[12]["ema_fast_len"]
buy_12_protection__ema_slow = buy_protection_params[12]["ema_slow"]
buy_12_protection__ema_slow_len = buy_protection_params[12]["ema_slow_len"]
buy_12_protection__close_above_ema_fast = buy_protection_params[12]["close_above_ema_fast"]
buy_12_protection__close_above_ema_fast_len = buy_protection_params[12]["close_above_ema_fast_len"]
buy_12_protection__close_above_ema_slow = buy_protection_params[12]["close_above_ema_slow"]
buy_12_protection__close_above_ema_slow_len = buy_protection_params[12]["close_above_ema_slow_len"]
buy_12_protection__sma200_rising = buy_protection_params[12]["sma200_rising"]
buy_12_protection__sma200_rising_val = buy_protection_params[12]["sma200_rising_val"]
buy_12_protection__sma200_1h_rising = buy_protection_params[12]["sma200_1h_rising"]
buy_12_protection__sma200_1h_rising_val = buy_protection_params[12]["sma200_1h_rising_val"]
buy_12_protection__safe_dips = buy_protection_params[12]["safe_dips"]
buy_12_protection__safe_dips_type = buy_protection_params[12]["safe_dips_type"]
buy_12_protection__safe_pump = buy_protection_params[12]["safe_pump"]
buy_12_protection__safe_pump_type = buy_protection_params[12]["safe_pump_type"]
buy_12_protection__safe_pump_period = buy_protection_params[12]["safe_pump_period"]
buy_12_protection__btc_1h_not_downtrend = buy_protection_params[12]["btc_1h_not_downtrend"]
buy_condition_13_enable = buy_protection_params[13]["enable"]
buy_13_protection__ema_fast = buy_protection_params[13]["ema_fast"]
buy_13_protection__ema_fast_len = buy_protection_params[13]["ema_fast_len"]
buy_13_protection__ema_slow = buy_protection_params[13]["ema_slow"]
buy_13_protection__ema_slow_len = buy_protection_params[13]["ema_slow_len"]
buy_13_protection__close_above_ema_fast = buy_protection_params[13]["close_above_ema_fast"]
buy_13_protection__close_above_ema_fast_len = buy_protection_params[13]["close_above_ema_fast_len"]
buy_13_protection__close_above_ema_slow = buy_protection_params[13]["close_above_ema_slow"]
buy_13_protection__close_above_ema_slow_len = buy_protection_params[13]["close_above_ema_slow_len"]
buy_13_protection__sma200_rising = buy_protection_params[13]["sma200_rising"]
buy_13_protection__sma200_rising_val = buy_protection_params[13]["sma200_rising_val"]
buy_13_protection__sma200_1h_rising = buy_protection_params[13]["sma200_1h_rising"]
buy_13_protection__sma200_1h_rising_val = buy_protection_params[13]["sma200_1h_rising_val"]
buy_13_protection__safe_dips = buy_protection_params[13]["safe_dips"]
buy_13_protection__safe_dips_type = buy_protection_params[13]["safe_dips_type"]
buy_13_protection__safe_pump = buy_protection_params[13]["safe_pump"]
buy_13_protection__safe_pump_type = buy_protection_params[13]["safe_pump_type"]
buy_13_protection__safe_pump_period = buy_protection_params[13]["safe_pump_period"]
buy_13_protection__btc_1h_not_downtrend = buy_protection_params[13]["btc_1h_not_downtrend"]
buy_condition_14_enable = buy_protection_params[14]["enable"]
buy_14_protection__ema_fast = buy_protection_params[14]["ema_fast"]
buy_14_protection__ema_fast_len = buy_protection_params[14]["ema_fast_len"]
buy_14_protection__ema_slow = buy_protection_params[14]["ema_slow"]
buy_14_protection__ema_slow_len = buy_protection_params[14]["ema_slow_len"]
buy_14_protection__close_above_ema_fast = buy_protection_params[14]["close_above_ema_fast"]
buy_14_protection__close_above_ema_fast_len = buy_protection_params[14]["close_above_ema_fast_len"]
buy_14_protection__close_above_ema_slow = buy_protection_params[14]["close_above_ema_slow"]
buy_14_protection__close_above_ema_slow_len = buy_protection_params[14]["close_above_ema_slow_len"]
buy_14_protection__sma200_rising = buy_protection_params[14]["sma200_rising"]
buy_14_protection__sma200_rising_val = buy_protection_params[14]["sma200_rising_val"]
buy_14_protection__sma200_1h_rising = buy_protection_params[14]["sma200_1h_rising"]
buy_14_protection__sma200_1h_rising_val = buy_protection_params[14]["sma200_1h_rising_val"]
buy_14_protection__safe_dips = buy_protection_params[14]["safe_dips"]
buy_14_protection__safe_dips_type = buy_protection_params[14]["safe_dips_type"]
buy_14_protection__safe_pump = buy_protection_params[14]["safe_pump"]
buy_14_protection__safe_pump_type = buy_protection_params[14]["safe_pump_type"]
buy_14_protection__safe_pump_period = buy_protection_params[14]["safe_pump_period"]
buy_14_protection__btc_1h_not_downtrend = buy_protection_params[14]["btc_1h_not_downtrend"]
buy_condition_15_enable = buy_protection_params[15]["enable"]
buy_15_protection__ema_fast = buy_protection_params[15]["ema_fast"]
buy_15_protection__ema_fast_len = buy_protection_params[15]["ema_fast_len"]
buy_15_protection__ema_slow = buy_protection_params[15]["ema_slow"]
buy_15_protection__ema_slow_len = buy_protection_params[15]["ema_slow_len"]
buy_15_protection__close_above_ema_fast = buy_protection_params[15]["close_above_ema_fast"]
buy_15_protection__close_above_ema_fast_len = buy_protection_params[15]["close_above_ema_fast_len"]
buy_15_protection__close_above_ema_slow = buy_protection_params[15]["close_above_ema_slow"]
buy_15_protection__close_above_ema_slow_len = buy_protection_params[15]["close_above_ema_slow_len"]
buy_15_protection__sma200_rising = buy_protection_params[15]["sma200_rising"]
buy_15_protection__sma200_rising_val = buy_protection_params[15]["sma200_rising_val"]
buy_15_protection__sma200_1h_rising = buy_protection_params[15]["sma200_1h_rising"]
buy_15_protection__sma200_1h_rising_val = buy_protection_params[15]["sma200_1h_rising_val"]
buy_15_protection__safe_dips = buy_protection_params[15]["safe_dips"]
buy_15_protection__safe_dips_type = buy_protection_params[15]["safe_dips_type"]
buy_15_protection__safe_pump = buy_protection_params[15]["safe_pump"]
buy_15_protection__safe_pump_type = buy_protection_params[15]["safe_pump_type"]
buy_15_protection__safe_pump_period = buy_protection_params[15]["safe_pump_period"]
buy_15_protection__btc_1h_not_downtrend = buy_protection_params[15]["btc_1h_not_downtrend"]
buy_condition_16_enable = buy_protection_params[16]["enable"]
buy_16_protection__ema_fast = buy_protection_params[16]["ema_fast"]
buy_16_protection__ema_fast_len = buy_protection_params[16]["ema_fast_len"]
buy_16_protection__ema_slow = buy_protection_params[16]["ema_slow"]
buy_16_protection__ema_slow_len = buy_protection_params[16]["ema_slow_len"]
buy_16_protection__close_above_ema_fast = buy_protection_params[16]["close_above_ema_fast"]
buy_16_protection__close_above_ema_fast_len = buy_protection_params[16]["close_above_ema_fast_len"]
buy_16_protection__close_above_ema_slow = buy_protection_params[16]["close_above_ema_slow"]
buy_16_protection__close_above_ema_slow_len = buy_protection_params[16]["close_above_ema_slow_len"]
buy_16_protection__sma200_rising = buy_protection_params[16]["sma200_rising"]
buy_16_protection__sma200_rising_val = buy_protection_params[16]["sma200_rising_val"]
buy_16_protection__sma200_1h_rising = buy_protection_params[16]["sma200_1h_rising"]
buy_16_protection__sma200_1h_rising_val = buy_protection_params[16]["sma200_1h_rising_val"]
buy_16_protection__safe_dips = buy_protection_params[16]["safe_dips"]
buy_16_protection__safe_dips_type = buy_protection_params[16]["safe_dips_type"]
buy_16_protection__safe_pump = buy_protection_params[16]["safe_pump"]
buy_16_protection__safe_pump_type = buy_protection_params[16]["safe_pump_type"]
buy_16_protection__safe_pump_period = buy_protection_params[16]["safe_pump_period"]
buy_16_protection__btc_1h_not_downtrend = buy_protection_params[16]["btc_1h_not_downtrend"]
buy_condition_17_enable = buy_protection_params[17]["enable"]
buy_17_protection__ema_fast = buy_protection_params[17]["ema_fast"]
buy_17_protection__ema_fast_len = buy_protection_params[17]["ema_fast_len"]
buy_17_protection__ema_slow = buy_protection_params[17]["ema_slow"]
buy_17_protection__ema_slow_len = buy_protection_params[17]["ema_slow_len"]
buy_17_protection__close_above_ema_fast = buy_protection_params[17]["close_above_ema_fast"]
buy_17_protection__close_above_ema_fast_len = buy_protection_params[17]["close_above_ema_fast_len"]
buy_17_protection__close_above_ema_slow = buy_protection_params[17]["close_above_ema_slow"]
buy_17_protection__close_above_ema_slow_len = buy_protection_params[17]["close_above_ema_slow_len"]
buy_17_protection__sma200_rising = buy_protection_params[17]["sma200_rising"]
buy_17_protection__sma200_rising_val = buy_protection_params[17]["sma200_rising_val"]
buy_17_protection__sma200_1h_rising = buy_protection_params[17]["sma200_1h_rising"]
buy_17_protection__sma200_1h_rising_val = buy_protection_params[17]["sma200_1h_rising_val"]
buy_17_protection__safe_dips = buy_protection_params[17]["safe_dips"]
buy_17_protection__safe_dips_type = buy_protection_params[17]["safe_dips_type"]
buy_17_protection__safe_pump = buy_protection_params[17]["safe_pump"]
buy_17_protection__safe_pump_type = buy_protection_params[17]["safe_pump_type"]
buy_17_protection__safe_pump_period = buy_protection_params[17]["safe_pump_period"]
buy_17_protection__btc_1h_not_downtrend = buy_protection_params[17]["btc_1h_not_downtrend"]
buy_condition_18_enable = buy_protection_params[18]["enable"]
buy_18_protection__ema_fast = buy_protection_params[18]["ema_fast"]
buy_18_protection__ema_fast_len = buy_protection_params[18]["ema_fast_len"]
buy_18_protection__ema_slow = buy_protection_params[18]["ema_slow"]
buy_18_protection__ema_slow_len = buy_protection_params[18]["ema_slow_len"]
buy_18_protection__close_above_ema_fast = buy_protection_params[18]["close_above_ema_fast"]
buy_18_protection__close_above_ema_fast_len = buy_protection_params[18]["close_above_ema_fast_len"]
buy_18_protection__close_above_ema_slow = buy_protection_params[18]["close_above_ema_slow"]
buy_18_protection__close_above_ema_slow_len = buy_protection_params[18]["close_above_ema_slow_len"]
buy_18_protection__sma200_rising = buy_protection_params[18]["sma200_rising"]
buy_18_protection__sma200_rising_val = buy_protection_params[18]["sma200_rising_val"]
buy_18_protection__sma200_1h_rising = buy_protection_params[18]["sma200_1h_rising"]
buy_18_protection__sma200_1h_rising_val = buy_protection_params[18]["sma200_1h_rising_val"]
buy_18_protection__safe_dips = buy_protection_params[18]["safe_dips"]
buy_18_protection__safe_dips_type = buy_protection_params[18]["safe_dips_type"]
buy_18_protection__safe_pump = buy_protection_params[18]["safe_pump"]
buy_18_protection__safe_pump_type = buy_protection_params[18]["safe_pump_type"]
buy_18_protection__safe_pump_period = buy_protection_params[18]["safe_pump_period"]
buy_18_protection__btc_1h_not_downtrend = buy_protection_params[18]["btc_1h_not_downtrend"]
buy_condition_19_enable = buy_protection_params[19]["enable"]
buy_19_protection__ema_fast = buy_protection_params[19]["ema_fast"]
buy_19_protection__ema_fast_len = buy_protection_params[19]["ema_fast_len"]
buy_19_protection__ema_slow = buy_protection_params[19]["ema_slow"]
buy_19_protection__ema_slow_len = buy_protection_params[19]["ema_slow_len"]
buy_19_protection__close_above_ema_fast = buy_protection_params[19]["close_above_ema_fast"]
buy_19_protection__close_above_ema_fast_len = buy_protection_params[19]["close_above_ema_fast_len"]
buy_19_protection__close_above_ema_slow = buy_protection_params[19]["close_above_ema_slow"]
buy_19_protection__close_above_ema_slow_len = buy_protection_params[19]["close_above_ema_slow_len"]
buy_19_protection__sma200_rising = buy_protection_params[19]["sma200_rising"]
buy_19_protection__sma200_rising_val = buy_protection_params[19]["sma200_rising_val"]
buy_19_protection__sma200_1h_rising = buy_protection_params[19]["sma200_1h_rising"]
buy_19_protection__sma200_1h_rising_val = buy_protection_params[19]["sma200_1h_rising_val"]
buy_19_protection__safe_dips = buy_protection_params[19]["safe_dips"]
buy_19_protection__safe_dips_type = buy_protection_params[19]["safe_dips_type"]
buy_19_protection__safe_pump = buy_protection_params[19]["safe_pump"]
buy_19_protection__safe_pump_type = buy_protection_params[19]["safe_pump_type"]
buy_19_protection__safe_pump_period = buy_protection_params[19]["safe_pump_period"]
buy_19_protection__btc_1h_not_downtrend = buy_protection_params[19]["btc_1h_not_downtrend"]
buy_condition_20_enable = buy_protection_params[20]["enable"]
buy_20_protection__ema_fast = buy_protection_params[20]["ema_fast"]
buy_20_protection__ema_fast_len = buy_protection_params[20]["ema_fast_len"]
buy_20_protection__ema_slow = buy_protection_params[20]["ema_slow"]
buy_20_protection__ema_slow_len = buy_protection_params[20]["ema_slow_len"]
buy_20_protection__close_above_ema_fast = buy_protection_params[20]["close_above_ema_fast"]
buy_20_protection__close_above_ema_fast_len = buy_protection_params[20]["close_above_ema_fast_len"]
buy_20_protection__close_above_ema_slow = buy_protection_params[20]["close_above_ema_slow"]
buy_20_protection__close_above_ema_slow_len = buy_protection_params[20]["close_above_ema_slow_len"]
buy_20_protection__sma200_rising = buy_protection_params[20]["sma200_rising"]
buy_20_protection__sma200_rising_val = buy_protection_params[20]["sma200_rising_val"]
buy_20_protection__sma200_1h_rising = buy_protection_params[20]["sma200_1h_rising"]
buy_20_protection__sma200_1h_rising_val = buy_protection_params[20]["sma200_1h_rising_val"]
buy_20_protection__safe_dips = buy_protection_params[20]["safe_dips"]
buy_20_protection__safe_dips_type = buy_protection_params[20]["safe_dips_type"]
buy_20_protection__safe_pump = buy_protection_params[20]["safe_pump"]
buy_20_protection__safe_pump_type = buy_protection_params[20]["safe_pump_type"]
buy_20_protection__safe_pump_period = buy_protection_params[20]["safe_pump_period"]
buy_20_protection__btc_1h_not_downtrend = buy_protection_params[20]["btc_1h_not_downtrend"]
buy_condition_21_enable = buy_protection_params[21]["enable"]
buy_21_protection__ema_fast = buy_protection_params[21]["ema_fast"]
buy_21_protection__ema_fast_len = buy_protection_params[21]["ema_fast_len"]
buy_21_protection__ema_slow = buy_protection_params[21]["ema_slow"]
buy_21_protection__ema_slow_len = buy_protection_params[21]["ema_slow_len"]
buy_21_protection__close_above_ema_fast = buy_protection_params[21]["close_above_ema_fast"]
buy_21_protection__close_above_ema_fast_len = buy_protection_params[21]["close_above_ema_fast_len"]
buy_21_protection__close_above_ema_slow = buy_protection_params[21]["close_above_ema_slow"]
buy_21_protection__close_above_ema_slow_len = buy_protection_params[21]["close_above_ema_slow_len"]
buy_21_protection__sma200_rising = buy_protection_params[21]["sma200_rising"]
buy_21_protection__sma200_rising_val = buy_protection_params[21]["sma200_rising_val"]
buy_21_protection__sma200_1h_rising = buy_protection_params[21]["sma200_1h_rising"]
buy_21_protection__sma200_1h_rising_val = buy_protection_params[21]["sma200_1h_rising_val"]
buy_21_protection__safe_dips = buy_protection_params[21]["safe_dips"]
buy_21_protection__safe_dips_type = buy_protection_params[21]["safe_dips_type"]
buy_21_protection__safe_pump = buy_protection_params[21]["safe_pump"]
buy_21_protection__safe_pump_type = buy_protection_params[21]["safe_pump_type"]
buy_21_protection__safe_pump_period = buy_protection_params[21]["safe_pump_period"]
buy_21_protection__btc_1h_not_downtrend = buy_protection_params[21]["btc_1h_not_downtrend"]
buy_condition_22_enable = buy_protection_params[22]["enable"]
buy_22_protection__ema_fast = buy_protection_params[22]["ema_fast"]
buy_22_protection__ema_fast_len = buy_protection_params[22]["ema_fast_len"]
buy_22_protection__ema_slow = buy_protection_params[22]["ema_slow"]
buy_22_protection__ema_slow_len = buy_protection_params[22]["ema_slow_len"]
buy_22_protection__close_above_ema_fast = buy_protection_params[22]["close_above_ema_fast"]
buy_22_protection__close_above_ema_fast_len = buy_protection_params[22]["close_above_ema_fast_len"]
buy_22_protection__close_above_ema_slow = buy_protection_params[22]["close_above_ema_slow"]
buy_22_protection__close_above_ema_slow_len = buy_protection_params[22]["close_above_ema_slow_len"]
buy_22_protection__sma200_rising = buy_protection_params[22]["sma200_rising"]
buy_22_protection__sma200_rising_val = buy_protection_params[22]["sma200_rising_val"]
buy_22_protection__sma200_1h_rising = buy_protection_params[22]["sma200_1h_rising"]
buy_22_protection__sma200_1h_rising_val = buy_protection_params[22]["sma200_1h_rising_val"]
buy_22_protection__safe_dips = buy_protection_params[22]["safe_dips"]
buy_22_protection__safe_dips_type = buy_protection_params[22]["safe_dips_type"]
buy_22_protection__safe_pump = buy_protection_params[22]["safe_pump"]
buy_22_protection__safe_pump_type = buy_protection_params[22]["safe_pump_type"]
buy_22_protection__safe_pump_period = buy_protection_params[22]["safe_pump_period"]
buy_22_protection__btc_1h_not_downtrend = buy_protection_params[22]["btc_1h_not_downtrend"]
buy_condition_23_enable = buy_protection_params[23]["enable"]
buy_23_protection__ema_fast = buy_protection_params[23]["ema_fast"]
buy_23_protection__ema_fast_len = buy_protection_params[23]["ema_fast_len"]
buy_23_protection__ema_slow = buy_protection_params[23]["ema_slow"]
buy_23_protection__ema_slow_len = buy_protection_params[23]["ema_slow_len"]
buy_23_protection__close_above_ema_fast = buy_protection_params[23]["close_above_ema_fast"]
buy_23_protection__close_above_ema_fast_len = buy_protection_params[23]["close_above_ema_fast_len"]
buy_23_protection__close_above_ema_slow = buy_protection_params[23]["close_above_ema_slow"]
buy_23_protection__close_above_ema_slow_len = buy_protection_params[23]["close_above_ema_slow_len"]
buy_23_protection__sma200_rising = buy_protection_params[23]["sma200_rising"]
buy_23_protection__sma200_rising_val = buy_protection_params[23]["sma200_rising_val"]
buy_23_protection__sma200_1h_rising = buy_protection_params[23]["sma200_1h_rising"]
buy_23_protection__sma200_1h_rising_val = buy_protection_params[23]["sma200_1h_rising_val"]
buy_23_protection__safe_dips = buy_protection_params[23]["safe_dips"]
buy_23_protection__safe_dips_type = buy_protection_params[23]["safe_dips_type"]
buy_23_protection__safe_pump = buy_protection_params[23]["safe_pump"]
buy_23_protection__safe_pump_type = buy_protection_params[23]["safe_pump_type"]
buy_23_protection__safe_pump_period = buy_protection_params[23]["safe_pump_period"]
buy_23_protection__btc_1h_not_downtrend = buy_protection_params[23]["btc_1h_not_downtrend"]
buy_condition_24_enable = buy_protection_params[24]["enable"]
buy_24_protection__ema_fast = buy_protection_params[24]["ema_fast"]
buy_24_protection__ema_fast_len = buy_protection_params[24]["ema_fast_len"]
buy_24_protection__ema_slow = buy_protection_params[24]["ema_slow"]
buy_24_protection__ema_slow_len = buy_protection_params[24]["ema_slow_len"]
buy_24_protection__close_above_ema_fast = buy_protection_params[24]["close_above_ema_fast"]
buy_24_protection__close_above_ema_fast_len = buy_protection_params[24]["close_above_ema_fast_len"]
buy_24_protection__close_above_ema_slow = buy_protection_params[24]["close_above_ema_slow"]
buy_24_protection__close_above_ema_slow_len = buy_protection_params[24]["close_above_ema_slow_len"]
buy_24_protection__sma200_rising = buy_protection_params[24]["sma200_rising"]
buy_24_protection__sma200_rising_val = buy_protection_params[24]["sma200_rising_val"]
buy_24_protection__sma200_1h_rising = buy_protection_params[24]["sma200_1h_rising"]
buy_24_protection__sma200_1h_rising_val = buy_protection_params[24]["sma200_1h_rising_val"]
buy_24_protection__safe_dips = buy_protection_params[24]["safe_dips"]
buy_24_protection__safe_dips_type = buy_protection_params[24]["safe_dips_type"]
buy_24_protection__safe_pump = buy_protection_params[24]["safe_pump"]
buy_24_protection__safe_pump_type = buy_protection_params[24]["safe_pump_type"]
buy_24_protection__safe_pump_period = buy_protection_params[24]["safe_pump_period"]
buy_24_protection__btc_1h_not_downtrend = buy_protection_params[24]["btc_1h_not_downtrend"]
buy_condition_25_enable = buy_protection_params[25]["enable"]
buy_25_protection__ema_fast = buy_protection_params[25]["ema_fast"]
buy_25_protection__ema_fast_len = buy_protection_params[25]["ema_fast_len"]
buy_25_protection__ema_slow = buy_protection_params[25]["ema_slow"]
buy_25_protection__ema_slow_len = buy_protection_params[25]["ema_slow_len"]
buy_25_protection__close_above_ema_fast = buy_protection_params[25]["close_above_ema_fast"]
buy_25_protection__close_above_ema_fast_len = buy_protection_params[25]["close_above_ema_fast_len"]
buy_25_protection__close_above_ema_slow = buy_protection_params[25]["close_above_ema_slow"]
buy_25_protection__close_above_ema_slow_len = buy_protection_params[25]["close_above_ema_slow_len"]
buy_25_protection__sma200_rising = buy_protection_params[25]["sma200_rising"]
buy_25_protection__sma200_rising_val = buy_protection_params[25]["sma200_rising_val"]
buy_25_protection__sma200_1h_rising = buy_protection_params[25]["sma200_1h_rising"]
buy_25_protection__sma200_1h_rising_val = buy_protection_params[25]["sma200_1h_rising_val"]
buy_25_protection__safe_dips = buy_protection_params[25]["safe_dips"]
buy_25_protection__safe_dips_type = buy_protection_params[25]["safe_dips_type"]
buy_25_protection__safe_pump = buy_protection_params[25]["safe_pump"]
buy_25_protection__safe_pump_type = buy_protection_params[25]["safe_pump_type"]
buy_25_protection__safe_pump_period = buy_protection_params[25]["safe_pump_period"]
buy_25_protection__btc_1h_not_downtrend = buy_protection_params[25]["btc_1h_not_downtrend"]
buy_condition_26_enable = buy_protection_params[26]["enable"]
buy_26_protection__ema_fast = buy_protection_params[26]["ema_fast"]
buy_26_protection__ema_fast_len = buy_protection_params[26]["ema_fast_len"]
buy_26_protection__ema_slow = buy_protection_params[26]["ema_slow"]
buy_26_protection__ema_slow_len = buy_protection_params[26]["ema_slow_len"]
buy_26_protection__close_above_ema_fast = buy_protection_params[26]["close_above_ema_fast"]
buy_26_protection__close_above_ema_fast_len = buy_protection_params[26]["close_above_ema_fast_len"]
buy_26_protection__close_above_ema_slow = buy_protection_params[26]["close_above_ema_slow"]
buy_26_protection__close_above_ema_slow_len = buy_protection_params[26]["close_above_ema_slow_len"]
buy_26_protection__sma200_rising = buy_protection_params[26]["sma200_rising"]
buy_26_protection__sma200_rising_val = buy_protection_params[26]["sma200_rising_val"]
buy_26_protection__sma200_1h_rising = buy_protection_params[26]["sma200_1h_rising"]
buy_26_protection__sma200_1h_rising_val = buy_protection_params[26]["sma200_1h_rising_val"]
buy_26_protection__safe_dips = buy_protection_params[26]["safe_dips"]
buy_26_protection__safe_dips_type = buy_protection_params[26]["safe_dips_type"]
buy_26_protection__safe_pump = buy_protection_params[26]["safe_pump"]
buy_26_protection__safe_pump_type = buy_protection_params[26]["safe_pump_type"]
buy_26_protection__safe_pump_period = buy_protection_params[26]["safe_pump_period"]
buy_26_protection__btc_1h_not_downtrend = buy_protection_params[26]["btc_1h_not_downtrend"]
buy_condition_27_enable = buy_protection_params[27]["enable"]
buy_27_protection__ema_fast = buy_protection_params[27]["ema_fast"]
buy_27_protection__ema_fast_len = buy_protection_params[27]["ema_fast_len"]
buy_27_protection__ema_slow = buy_protection_params[27]["ema_slow"]
buy_27_protection__ema_slow_len = buy_protection_params[27]["ema_slow_len"]
buy_27_protection__close_above_ema_fast = buy_protection_params[27]["close_above_ema_fast"]
buy_27_protection__close_above_ema_fast_len = buy_protection_params[27]["close_above_ema_fast_len"]
buy_27_protection__close_above_ema_slow = buy_protection_params[27]["close_above_ema_slow"]
buy_27_protection__close_above_ema_slow_len = buy_protection_params[27]["close_above_ema_slow_len"]
buy_27_protection__sma200_rising = buy_protection_params[27]["sma200_rising"]
buy_27_protection__sma200_rising_val = buy_protection_params[27]["sma200_rising_val"]
buy_27_protection__sma200_1h_rising = buy_protection_params[27]["sma200_1h_rising"]
buy_27_protection__sma200_1h_rising_val = buy_protection_params[27]["sma200_1h_rising_val"]
buy_27_protection__safe_dips = buy_protection_params[27]["safe_dips"]
buy_27_protection__safe_dips_type = buy_protection_params[27]["safe_dips_type"]
buy_27_protection__safe_pump = buy_protection_params[27]["safe_pump"]
buy_27_protection__safe_pump_type = buy_protection_params[27]["safe_pump_type"]
buy_27_protection__safe_pump_period = buy_protection_params[27]["safe_pump_period"]
buy_27_protection__btc_1h_not_downtrend = buy_protection_params[27]["btc_1h_not_downtrend"]
buy_condition_28_enable = buy_protection_params[28]["enable"]
buy_28_protection__ema_fast = buy_protection_params[28]["ema_fast"]
buy_28_protection__ema_fast_len = buy_protection_params[28]["ema_fast_len"]
buy_28_protection__ema_slow = buy_protection_params[28]["ema_slow"]
buy_28_protection__ema_slow_len = buy_protection_params[28]["ema_slow_len"]
buy_28_protection__close_above_ema_fast = buy_protection_params[28]["close_above_ema_fast"]
buy_28_protection__close_above_ema_fast_len = buy_protection_params[28]["close_above_ema_fast_len"]
buy_28_protection__close_above_ema_slow = buy_protection_params[28]["close_above_ema_slow"]
buy_28_protection__close_above_ema_slow_len = buy_protection_params[28]["close_above_ema_slow_len"]
buy_28_protection__sma200_rising = buy_protection_params[28]["sma200_rising"]
buy_28_protection__sma200_rising_val = buy_protection_params[28]["sma200_rising_val"]
buy_28_protection__sma200_1h_rising = buy_protection_params[28]["sma200_1h_rising"]
buy_28_protection__sma200_1h_rising_val = buy_protection_params[28]["sma200_1h_rising_val"]
buy_28_protection__safe_dips = buy_protection_params[28]["safe_dips"]
buy_28_protection__safe_dips_type = buy_protection_params[28]["safe_dips_type"]
buy_28_protection__safe_pump = buy_protection_params[28]["safe_pump"]
buy_28_protection__safe_pump_type = buy_protection_params[28]["safe_pump_type"]
buy_28_protection__safe_pump_period = buy_protection_params[28]["safe_pump_period"]
buy_28_protection__btc_1h_not_downtrend = buy_protection_params[28]["btc_1h_not_downtrend"]
buy_condition_29_enable = buy_protection_params[29]["enable"]
buy_29_protection__ema_fast = buy_protection_params[29]["ema_fast"]
buy_29_protection__ema_fast_len = buy_protection_params[29]["ema_fast_len"]
buy_29_protection__ema_slow = buy_protection_params[29]["ema_slow"]
buy_29_protection__ema_slow_len = buy_protection_params[29]["ema_slow_len"]
buy_29_protection__close_above_ema_fast = buy_protection_params[29]["close_above_ema_fast"]
buy_29_protection__close_above_ema_fast_len = buy_protection_params[29]["close_above_ema_fast_len"]
buy_29_protection__close_above_ema_slow = buy_protection_params[29]["close_above_ema_slow"]
buy_29_protection__close_above_ema_slow_len = buy_protection_params[29]["close_above_ema_slow_len"]
buy_29_protection__sma200_rising = buy_protection_params[29]["sma200_rising"]
buy_29_protection__sma200_rising_val = buy_protection_params[29]["sma200_rising_val"]
buy_29_protection__sma200_1h_rising = buy_protection_params[29]["sma200_1h_rising"]
buy_29_protection__sma200_1h_rising_val = buy_protection_params[29]["sma200_1h_rising_val"]
buy_29_protection__safe_dips = buy_protection_params[29]["safe_dips"]
buy_29_protection__safe_dips_type = buy_protection_params[29]["safe_dips_type"]
buy_29_protection__safe_pump = buy_protection_params[29]["safe_pump"]
buy_29_protection__safe_pump_type = buy_protection_params[29]["safe_pump_type"]
buy_29_protection__safe_pump_period = buy_protection_params[29]["safe_pump_period"]
buy_29_protection__btc_1h_not_downtrend = buy_protection_params[29]["btc_1h_not_downtrend"]
buy_condition_30_enable = buy_protection_params[30]["enable"]
buy_30_protection__ema_fast = buy_protection_params[30]["ema_fast"]
buy_30_protection__ema_fast_len = buy_protection_params[30]["ema_fast_len"]
buy_30_protection__ema_slow = buy_protection_params[30]["ema_slow"]
buy_30_protection__ema_slow_len = buy_protection_params[30]["ema_slow_len"]
buy_30_protection__close_above_ema_fast = buy_protection_params[30]["close_above_ema_fast"]
buy_30_protection__close_above_ema_fast_len = buy_protection_params[30]["close_above_ema_fast_len"]
buy_30_protection__close_above_ema_slow = buy_protection_params[30]["close_above_ema_slow"]
buy_30_protection__close_above_ema_slow_len = buy_protection_params[30]["close_above_ema_slow_len"]
buy_30_protection__sma200_rising = buy_protection_params[30]["sma200_rising"]
buy_30_protection__sma200_rising_val = buy_protection_params[30]["sma200_rising_val"]
buy_30_protection__sma200_1h_rising = buy_protection_params[30]["sma200_1h_rising"]
buy_30_protection__sma200_1h_rising_val = buy_protection_params[30]["sma200_1h_rising_val"]
buy_30_protection__safe_dips = buy_protection_params[30]["safe_dips"]
buy_30_protection__safe_dips_type = buy_protection_params[30]["safe_dips_type"]
buy_30_protection__safe_pump = buy_protection_params[30]["safe_pump"]
buy_30_protection__safe_pump_type = buy_protection_params[30]["safe_pump_type"]
buy_30_protection__safe_pump_period = buy_protection_params[30]["safe_pump_period"]
buy_30_protection__btc_1h_not_downtrend = buy_protection_params[30]["btc_1h_not_downtrend"]
buy_condition_31_enable = buy_protection_params[31]["enable"]
buy_31_protection__ema_fast = buy_protection_params[31]["ema_fast"]
buy_31_protection__ema_fast_len = buy_protection_params[31]["ema_fast_len"]
buy_31_protection__ema_slow = buy_protection_params[31]["ema_slow"]
buy_31_protection__ema_slow_len = buy_protection_params[31]["ema_slow_len"]
buy_31_protection__close_above_ema_fast = buy_protection_params[31]["close_above_ema_fast"]
buy_31_protection__close_above_ema_fast_len = buy_protection_params[31]["close_above_ema_fast_len"]
buy_31_protection__close_above_ema_slow = buy_protection_params[31]["close_above_ema_slow"]
buy_31_protection__close_above_ema_slow_len = buy_protection_params[31]["close_above_ema_slow_len"]
buy_31_protection__sma200_rising = buy_protection_params[31]["sma200_rising"]
buy_31_protection__sma200_rising_val = buy_protection_params[31]["sma200_rising_val"]
buy_31_protection__sma200_1h_rising = buy_protection_params[31]["sma200_1h_rising"]
buy_31_protection__sma200_1h_rising_val = buy_protection_params[31]["sma200_1h_rising_val"]
buy_31_protection__safe_dips = buy_protection_params[31]["safe_dips"]
buy_31_protection__safe_dips_type = buy_protection_params[31]["safe_dips_type"]
buy_31_protection__safe_pump = buy_protection_params[31]["safe_pump"]
buy_31_protection__safe_pump_type = buy_protection_params[31]["safe_pump_type"]
buy_31_protection__safe_pump_period = buy_protection_params[31]["safe_pump_period"]
buy_31_protection__btc_1h_not_downtrend = buy_protection_params[31]["btc_1h_not_downtrend"]
# Strict dips - level 10
buy_dip_threshold_10_1 = DecimalParameter(0.001, 0.05, default=0.015, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_10_2 = DecimalParameter(0.01, 0.2, default=0.1, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_10_3 = DecimalParameter(0.1, 0.3, default=0.24, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_10_4 = DecimalParameter(0.3, 0.5, default=0.42, space='buy', decimals=3, optimize=False, load=True)
# Strict dips - level 20
buy_dip_threshold_20_1 = DecimalParameter(0.001, 0.05, default=0.016, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_20_2 = DecimalParameter(0.01, 0.2, default=0.11, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_20_3 = DecimalParameter(0.1, 0.4, default=0.26, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_20_4 = DecimalParameter(0.36, 0.56, default=0.44, space='buy', decimals=3, optimize=False, load=True)
# Strict dips - level 30
buy_dip_threshold_30_1 = DecimalParameter(0.001, 0.05, default=0.018, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_30_2 = DecimalParameter(0.01, 0.2, default=0.12, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_30_3 = DecimalParameter(0.1, 0.4, default=0.28, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_30_4 = DecimalParameter(0.36, 0.56, default=0.46, space='buy', decimals=3, optimize=False, load=True)
# Strict dips - level 40
buy_dip_threshold_40_1 = DecimalParameter(0.001, 0.05, default=0.019, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_40_2 = DecimalParameter(0.01, 0.2, default=0.13, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_40_3 = DecimalParameter(0.1, 0.4, default=0.3, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_40_4 = DecimalParameter(0.36, 0.56, default=0.48, space='buy', decimals=3, optimize=False, load=True)
# Normal dips - level 50
buy_dip_threshold_50_1 = DecimalParameter(0.001, 0.05, default=0.02, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_50_2 = DecimalParameter(0.01, 0.2, default=0.14, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_50_3 = DecimalParameter(0.05, 0.4, default=0.32, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_50_4 = DecimalParameter(0.2, 0.5, default=0.5, space='buy', decimals=3, optimize=False, load=True)
# Normal dips - level 60
buy_dip_threshold_60_1 = DecimalParameter(0.001, 0.05, default=0.022, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_60_2 = DecimalParameter(0.1, 0.22, default=0.18, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_60_3 = DecimalParameter(0.2, 0.4, default=0.34, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_60_4 = DecimalParameter(0.4, 0.6, default=0.56, space='buy', decimals=3, optimize=False, load=True)
# Normal dips - level 70
buy_dip_threshold_70_1 = DecimalParameter(0.001, 0.05, default=0.023, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_70_2 = DecimalParameter(0.16, 0.28, default=0.2, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_70_3 = DecimalParameter(0.2, 0.4, default=0.36, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_70_4 = DecimalParameter(0.5, 0.7, default=0.6, space='buy', decimals=3, optimize=False, load=True)
# Normal dips - level 80
buy_dip_threshold_80_1 = DecimalParameter(0.001, 0.05, default=0.024, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_80_2 = DecimalParameter(0.16, 0.28, default=0.22, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_80_3 = DecimalParameter(0.2, 0.4, default=0.38, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_80_4 = DecimalParameter(0.5, 0.7, default=0.66, space='buy', decimals=3, optimize=False, load=True)
# Normal dips - level 70
buy_dip_threshold_90_1 = DecimalParameter(0.001, 0.05, default=0.025, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_90_2 = DecimalParameter(0.16, 0.28, default=0.23, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_90_3 = DecimalParameter(0.3, 0.5, default=0.4, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_90_4 = DecimalParameter(0.6, 0.8, default=0.7, space='buy', decimals=3, optimize=False, load=True)
# Loose dips - level 100
buy_dip_threshold_100_1 = DecimalParameter(0.001, 0.05, default=0.026, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_100_2 = DecimalParameter(0.16, 0.3, default=0.24, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_100_3 = DecimalParameter(0.3, 0.5, default=0.42, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_100_4 = DecimalParameter(0.6, 1.0, default=0.8, space='buy', decimals=3, optimize=False, load=True)
# Loose dips - level 110
buy_dip_threshold_110_1 = DecimalParameter(0.001, 0.05, default=0.027, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_110_2 = DecimalParameter(0.16, 0.3, default=0.26, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_110_3 = DecimalParameter(0.3, 0.5, default=0.44, space='buy', decimals=3, optimize=False, load=True)
buy_dip_threshold_110_4 = DecimalParameter(0.6, 1.0, default=0.84, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 10
buy_pump_pull_threshold_10_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_10_24 = DecimalParameter(0.4, 1.0, default=0.42, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 10
buy_pump_pull_threshold_10_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_10_36 = DecimalParameter(0.4, 1.0, default=0.58, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 10
buy_pump_pull_threshold_10_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_10_48 = DecimalParameter(0.4, 1.0, default=0.8, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 20
buy_pump_pull_threshold_20_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_20_24 = DecimalParameter(0.4, 1.0, default=0.46, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 20
buy_pump_pull_threshold_20_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_20_36 = DecimalParameter(0.4, 1.0, default=0.6, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 20
buy_pump_pull_threshold_20_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_20_48 = DecimalParameter(0.4, 1.0, default=0.81, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 30
buy_pump_pull_threshold_30_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_30_24 = DecimalParameter(0.4, 1.0, default=0.5, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 30
buy_pump_pull_threshold_30_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_30_36 = DecimalParameter(0.4, 1.0, default=0.62, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 30
buy_pump_pull_threshold_30_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_30_48 = DecimalParameter(0.4, 1.0, default=0.82, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 40
buy_pump_pull_threshold_40_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_40_24 = DecimalParameter(0.4, 1.0, default=0.54, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 40
buy_pump_pull_threshold_40_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_40_36 = DecimalParameter(0.4, 1.0, default=0.63, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 40
buy_pump_pull_threshold_40_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_40_48 = DecimalParameter(0.4, 1.0, default=0.84, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 50
buy_pump_pull_threshold_50_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_50_24 = DecimalParameter(0.4, 1.0, default=0.6, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 50
buy_pump_pull_threshold_50_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_50_36 = DecimalParameter(0.4, 1.0, default=0.64, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 50
buy_pump_pull_threshold_50_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_50_48 = DecimalParameter(0.4, 1.0, default=0.85, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 60
buy_pump_pull_threshold_60_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_60_24 = DecimalParameter(0.4, 1.0, default=0.62, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 60
buy_pump_pull_threshold_60_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_60_36 = DecimalParameter(0.4, 1.0, default=0.66, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 60
buy_pump_pull_threshold_60_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_60_48 = DecimalParameter(0.4, 1.0, default=0.9, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 70
buy_pump_pull_threshold_70_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_70_24 = DecimalParameter(0.4, 1.0, default=0.63, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 70
buy_pump_pull_threshold_70_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_70_36 = DecimalParameter(0.4, 1.0, default=0.67, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 70
buy_pump_pull_threshold_70_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_70_48 = DecimalParameter(0.4, 1.0, default=0.95, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 80
buy_pump_pull_threshold_80_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_80_24 = DecimalParameter(0.4, 1.0, default=0.64, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 80
buy_pump_pull_threshold_80_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_80_36 = DecimalParameter(0.4, 1.0, default=0.68, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 80
buy_pump_pull_threshold_80_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_80_48 = DecimalParameter(0.8, 1.1, default=1.0, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 90
buy_pump_pull_threshold_90_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_90_24 = DecimalParameter(0.4, 1.0, default=0.65, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 90
buy_pump_pull_threshold_90_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_90_36 = DecimalParameter(0.4, 1.0, default=0.69, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 90
buy_pump_pull_threshold_90_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_90_48 = DecimalParameter(0.8, 1.2, default=1.1, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 100
buy_pump_pull_threshold_100_24 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_100_24 = DecimalParameter(0.4, 1.0, default=0.66, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 100
buy_pump_pull_threshold_100_36 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_100_36 = DecimalParameter(0.4, 1.0, default=0.7, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 100
buy_pump_pull_threshold_100_48 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_100_48 = DecimalParameter(0.4, 1.8, default=1.6, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 110
buy_pump_pull_threshold_110_24 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_110_24 = DecimalParameter(0.4, 1.0, default=0.7, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 110
buy_pump_pull_threshold_110_36 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_110_36 = DecimalParameter(0.4, 1.0, default=0.74, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 110
buy_pump_pull_threshold_110_48 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_110_48 = DecimalParameter(1.4, 2.0, default=1.8, space='buy', decimals=3, optimize=False, load=True)
# 24 hours - level 120
buy_pump_pull_threshold_120_24 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_120_24 = DecimalParameter(0.4, 1.0, default=0.78, space='buy', decimals=3, optimize=False, load=True)
# 36 hours - level 120
buy_pump_pull_threshold_120_36 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_120_36 = DecimalParameter(0.4, 1.0, default=0.78, space='buy', decimals=3, optimize=False, load=True)
# 48 hours - level 120
buy_pump_pull_threshold_120_48 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True)
buy_pump_threshold_120_48 = DecimalParameter(1.4, 2.8, default=2.0, space='buy', decimals=3, optimize=False, load=True)
# 5 hours - level 10
buy_dump_protection_10_5 = DecimalParameter(0.3, 0.8, default=0.4, space='buy', decimals=2, optimize=False, load=True)
# 5 hours - level 20
buy_dump_protection_20_5 = DecimalParameter(0.3, 0.8, default=0.44, space='buy', decimals=2, optimize=False, load=True)
# 5 hours - level 30
buy_dump_protection_30_5 = DecimalParameter(0.3, 0.8, default=0.50, space='buy', decimals=2, optimize=False, load=True)
# 5 hours - level 40
buy_dump_protection_40_5 = DecimalParameter(0.3, 0.8, default=0.58, space='buy', decimals=2, optimize=False, load=True)
# 5 hours - level 50
buy_dump_protection_50_5 = DecimalParameter(0.3, 0.8, default=0.66, space='buy', decimals=2, optimize=False, load=True)
# 5 hours - level 60
buy_dump_protection_60_5 = DecimalParameter(0.3, 0.8, default=0.74, space='buy', decimals=2, optimize=False, load=True)
buy_min_inc_1 = DecimalParameter(0.01, 0.05, default=0.022, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_1h_min_1 = DecimalParameter(25.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_max_1 = DecimalParameter(70.0, 90.0, default=84.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1 = DecimalParameter(20.0, 40.0, default=36.0, space='buy', decimals=1, optimize=False, load=True)
buy_mfi_1 = DecimalParameter(20.0, 40.0, default=44.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_min_2 = DecimalParameter(30.0, 40.0, default=32.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_max_2 = DecimalParameter(70.0, 95.0, default=84.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_diff_2 = DecimalParameter(30.0, 50.0, default=39.0, space='buy', decimals=1, optimize=False, load=True)
buy_mfi_2 = DecimalParameter(30.0, 56.0, default=49.0, space='buy', decimals=1, optimize=False, load=True)
buy_bb_offset_2 = DecimalParameter(0.97, 0.999, default=0.983, space='buy', decimals=3, optimize=False, load=True)
buy_bb40_bbdelta_close_3 = DecimalParameter(0.005, 0.06, default=0.059, space='buy', optimize=False, load=True)
buy_bb40_closedelta_close_3 = DecimalParameter(0.01, 0.03, default=0.023, space='buy', optimize=False, load=True)
buy_bb40_tail_bbdelta_3 = DecimalParameter(0.15, 0.45, default=0.418, space='buy', optimize=False, load=True)
buy_ema_rel_3 = DecimalParameter(0.97, 0.999, default=0.986, space='buy', decimals=3, optimize=False, load=True)
buy_bb20_close_bblowerband_4 = DecimalParameter(0.96, 0.99, default=0.98, space='buy', optimize=False, load=True)
buy_bb20_volume_4 = DecimalParameter(1.0, 20.0, default=10.0, space='buy', decimals=2, optimize=False, load=True)
buy_ema_open_mult_5 = DecimalParameter(0.016, 0.03, default=0.018, space='buy', decimals=3, optimize=False, load=True)
buy_bb_offset_5 = DecimalParameter(0.98, 1.0, default=0.996, space='buy', decimals=3, optimize=False, load=True)
buy_ema_rel_5 = DecimalParameter(0.97, 0.999, default=0.944, space='buy', decimals=3, optimize=False, load=True)
buy_ema_open_mult_6 = DecimalParameter(0.02, 0.03, default=0.021, space='buy', decimals=3, optimize=False, load=True)
buy_bb_offset_6 = DecimalParameter(0.98, 0.999, default=0.984, space='buy', decimals=3, optimize=False, load=True)
buy_ema_open_mult_7 = DecimalParameter(0.02, 0.04, default=0.03, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_7 = DecimalParameter(24.0, 50.0, default=37.0, space='buy', decimals=1, optimize=False, load=True)
buy_volume_8 = DecimalParameter(1.0, 6.0, default=2.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_8 = DecimalParameter(16.0, 30.0, default=29.0, space='buy', decimals=1, optimize=False, load=True)
buy_tail_diff_8 = DecimalParameter(3.0, 10.0, default=2.5, space='buy', decimals=1, optimize=False, load=True)
buy_ma_offset_9 = DecimalParameter(0.91, 0.94, default=0.922, space='buy', decimals=3, optimize=False, load=True)
buy_bb_offset_9 = DecimalParameter(0.96, 0.98, default=0.942, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_1h_min_9 = DecimalParameter(26.0, 40.0, default=20.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_max_9 = DecimalParameter(70.0, 90.0, default=88.0, space='buy', decimals=1, optimize=False, load=True)
buy_mfi_9 = DecimalParameter(36.0, 56.0, default=50.0, space='buy', decimals=1, optimize=False, load=True)
buy_ma_offset_10 = DecimalParameter(0.93, 0.97, default=0.948, space='buy', decimals=3, optimize=False, load=True)
buy_bb_offset_10 = DecimalParameter(0.97, 0.99, default=0.985, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_1h_10 = DecimalParameter(20.0, 40.0, default=37.0, space='buy', decimals=1, optimize=False, load=True)
buy_ma_offset_11 = DecimalParameter(0.93, 0.99, default=0.934, space='buy', decimals=3, optimize=False, load=True)
buy_min_inc_11 = DecimalParameter(0.005, 0.05, default=0.01, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_1h_min_11 = DecimalParameter(40.0, 60.0, default=55.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_max_11 = DecimalParameter(70.0, 90.0, default=84.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_11 = DecimalParameter(34.0, 50.0, default=48.0, space='buy', decimals=1, optimize=False, load=True)
buy_mfi_11 = DecimalParameter(30.0, 46.0, default=36.0, space='buy', decimals=1, optimize=False, load=True)
buy_ma_offset_12 = DecimalParameter(0.93, 0.97, default=0.922, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_12 = DecimalParameter(26.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True)
buy_ewo_12 = DecimalParameter(1.0, 6.0, default=1.8, space='buy', decimals=1, optimize=False, load=True)
buy_ma_offset_13 = DecimalParameter(0.93, 0.98, default=0.99, space='buy', decimals=3, optimize=False, load=True)
buy_ewo_13 = DecimalParameter(-14.0, -7.0, default=-11.4, space='buy', decimals=1, optimize=False, load=True)
buy_ema_open_mult_14 = DecimalParameter(0.01, 0.03, default=0.014, space='buy', decimals=3, optimize=False, load=True)
buy_bb_offset_14 = DecimalParameter(0.98, 1.0, default=0.988, space='buy', decimals=3, optimize=False, load=True)
buy_ma_offset_14 = DecimalParameter(0.93, 0.99, default=0.98, space='buy', decimals=3, optimize=False, load=True)
buy_ema_open_mult_15 = DecimalParameter(0.01, 0.03, default=0.018, space='buy', decimals=3, optimize=False, load=True)
buy_ma_offset_15 = DecimalParameter(0.93, 0.99, default=0.954, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_15 = DecimalParameter(20.0, 36.0, default=28.0, space='buy', decimals=1, optimize=False, load=True)
buy_ema_rel_15 = DecimalParameter(0.97, 0.999, default=0.988, space='buy', decimals=3, optimize=False, load=True)
buy_ma_offset_16 = DecimalParameter(0.93, 0.97, default=0.952, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_16 = DecimalParameter(26.0, 50.0, default=31.0, space='buy', decimals=1, optimize=False, load=True)
buy_ewo_16 = DecimalParameter(2.0, 6.0, default=2.8, space='buy', decimals=1, optimize=False, load=True)
buy_ma_offset_17 = DecimalParameter(0.93, 0.98, default=0.952, space='buy', decimals=3, optimize=False, load=True)
buy_ewo_17 = DecimalParameter(-18.0, -10.0, default=-12.8, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_18 = DecimalParameter(16.0, 32.0, default=26.0, space='buy', decimals=1, optimize=False, load=True)
buy_bb_offset_18 = DecimalParameter(0.98, 1.0, default=0.982, space='buy', decimals=3, optimize=False, load=True)
buy_rsi_1h_min_19 = DecimalParameter(40.0, 70.0, default=50.0, space='buy', decimals=1, optimize=False, load=True)
buy_chop_min_19 = DecimalParameter(20.0, 60.0, default=22.1, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_20 = DecimalParameter(20.0, 36.0, default=27.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_20 = DecimalParameter(14.0, 30.0, default=20.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_21 = DecimalParameter(10.0, 28.0, default=23.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_21 = DecimalParameter(18.0, 40.0, default=24.0, space='buy', decimals=1, optimize=False, load=True)
buy_cti_21 = DecimalParameter(-0.99, -0.4, default=-0.9, space='buy', decimals=2, optimize=False, load=True)
buy_volume_22 = DecimalParameter(0.5, 6.0, default=3.0, space='buy', decimals=1, optimize=False, load=True)
buy_bb_offset_22 = DecimalParameter(0.98, 1.0, default=0.98, space='buy', decimals=3, optimize=False, load=True)
buy_ma_offset_22 = DecimalParameter(0.93, 0.98, default=0.941, space='buy', decimals=3, optimize=False, load=True)
buy_ewo_22 = DecimalParameter(2.0, 10.0, default=4.2, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_22 = DecimalParameter(26.0, 56.0, default=37.0, space='buy', decimals=1, optimize=False, load=True)
buy_bb_offset_23 = DecimalParameter(0.97, 1.0, default=0.983, space='buy', decimals=3, optimize=False, load=True)
buy_ewo_23 = DecimalParameter(2.0, 10.0, default=7.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_23 = DecimalParameter(20.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True)
buy_rsi_1h_23 = DecimalParameter(60.0, 80.0, default=70.0, space='buy', decimals=1, optimize=False, load=True)
buy_24_rsi_max = DecimalParameter(26.0, 60.0, default=60.0, space='buy', decimals=1, optimize=False, load=True)
buy_24_rsi_1h_min = DecimalParameter(40.0, 90.0, default=66.9, space='buy', decimals=1, optimize=False, load=True)
buy_25_ma_offset = DecimalParameter(0.90, 0.99, default=0.922, space='buy', optimize=False, load=True)
buy_25_rsi_14 = DecimalParameter(26.0, 40.0, default=38.0, space='buy', decimals=1, optimize=False, load=True)
buy_26_zema_low_offset = DecimalParameter(0.90, 0.99, default=0.93, space='buy', optimize=False, load=True)
buy_27_wr_max = DecimalParameter(95, 99, default=95.4, space='buy', decimals=1, optimize=False, load=True)
buy_27_wr_1h_max = DecimalParameter(90, 99, default=97.6, space='buy', decimals=1, optimize=False, load=True)
buy_27_rsi_max = DecimalParameter(40, 70, default=50, space='buy', decimals=0, optimize=False, load=True)
# Sell
sell_condition_1_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_2_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_3_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_4_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_5_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_6_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_7_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
sell_condition_8_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True)
# 48h for pump sell checks
sell_pump_threshold_48_1 = DecimalParameter(0.5, 1.2, default=0.9, space='sell', decimals=2, optimize=False, load=True)
sell_pump_threshold_48_2 = DecimalParameter(0.4, 0.9, default=0.7, space='sell', decimals=2, optimize=False, load=True)
sell_pump_threshold_48_3 = DecimalParameter(0.3, 0.7, default=0.5, space='sell', decimals=2, optimize=False, load=True)
# 36h for pump sell checks
sell_pump_threshold_36_1 = DecimalParameter(0.5, 0.9, default=0.72, space='sell', decimals=2, optimize=False, load=True)
sell_pump_threshold_36_2 = DecimalParameter(3.0, 6.0, default=4.0, space='sell', decimals=2, optimize=False, load=True)
sell_pump_threshold_36_3 = DecimalParameter(0.8, 1.6, default=1.0, space='sell', decimals=2, optimize=False, load=True)
# 24h for pump sell checks
sell_pump_threshold_24_1 = DecimalParameter(0.5, 0.9, default=0.68, space='sell', decimals=2, optimize=False, load=True)
sell_pump_threshold_24_2 = DecimalParameter(0.3, 0.6, default=0.62, space='sell', decimals=2, optimize=False, load=True)
sell_pump_threshold_24_3 = DecimalParameter(0.2, 0.5, default=0.88, space='sell', decimals=2, optimize=False, load=True)
sell_rsi_bb_1 = DecimalParameter(60.0, 80.0, default=79.5, space='sell', decimals=1, optimize=False, load=True)
sell_rsi_bb_2 = DecimalParameter(72.0, 90.0, default=81, space='sell', decimals=1, optimize=False, load=True)
sell_rsi_main_3 = DecimalParameter(77.0, 90.0, default=82, space='sell', decimals=1, optimize=False, load=True)
sell_dual_rsi_rsi_4 = DecimalParameter(72.0, 84.0, default=73.4, space='sell', decimals=1, optimize=False, load=True)
sell_dual_rsi_rsi_1h_4 = DecimalParameter(78.0, 92.0, default=79.6, space='sell', decimals=1, optimize=False, load=True)
sell_ema_relative_5 = DecimalParameter(0.005, 0.05, default=0.024, space='sell', optimize=False, load=True)
sell_rsi_diff_5 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True)
sell_rsi_under_6 = DecimalParameter(72.0, 90.0, default=79.0, space='sell', decimals=1, optimize=False, load=True)
sell_rsi_1h_7 = DecimalParameter(80.0, 95.0, default=81.7, space='sell', decimals=1, optimize=False, load=True)
sell_bb_relative_8 = DecimalParameter(1.05, 1.3, default=1.1, space='sell', decimals=3, optimize=False, load=True)
# Profit over EMA200
sell_custom_profit_0 = DecimalParameter(0.01, 0.1, default=0.012, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_0 = DecimalParameter(30.0, 40.0, default=34.0, space='sell', decimals=3, optimize=False, load=True)
sell_custom_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_1 = DecimalParameter(30.0, 50.0, default=35.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_2 = DecimalParameter(30.0, 50.0, default=37.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_3 = DecimalParameter(30.0, 50.0, default=42.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_4 = DecimalParameter(0.01, 0.1, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_4 = DecimalParameter(35.0, 50.0, default=43.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_5 = DecimalParameter(0.01, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_5 = DecimalParameter(35.0, 50.0, default=45.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_6 = DecimalParameter(0.01, 0.1, default=0.07, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_6 = DecimalParameter(38.0, 55.0, default=52.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_7 = DecimalParameter(0.01, 0.1, default=0.08, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_7 = DecimalParameter(40.0, 58.0, default=54.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_8 = DecimalParameter(0.06, 0.1, default=0.09, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_8 = DecimalParameter(40.0, 50.0, default=55.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_9 = DecimalParameter(0.05, 0.14, default=0.1, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_10 = DecimalParameter(0.1, 0.14, default=0.12, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_10 = DecimalParameter(38.0, 50.0, default=42.0, space='sell', decimals=2, optimize=False, load=True)
sell_custom_profit_11 = DecimalParameter(0.16, 0.45, default=0.20, space='sell', decimals=3, optimize=False, load=True)
sell_custom_rsi_11 = DecimalParameter(28.0, 40.0, default=34.0, space='sell', decimals=2, optimize=False, load=True)
# Profit under EMA200
sell_custom_under_profit_0 = DecimalParameter(0.01, 0.4, default=0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_0 = DecimalParameter(28.0, 40.0, default=38.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_1 = DecimalParameter(0.01, 0.10, default=0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_1 = DecimalParameter(36.0, 60.0, default=56.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_2 = DecimalParameter(0.01, 0.10, default=0.03, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_2 = DecimalParameter(46.0, 66.0, default=57.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_3 = DecimalParameter(0.01, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_3 = DecimalParameter(50.0, 68.0, default=58.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_4 = DecimalParameter(0.02, 0.1, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_4 = DecimalParameter(50.0, 68.0, default=59.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_5 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_5 = DecimalParameter(46.0, 62.0, default=60.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_6 = DecimalParameter(0.03, 0.1, default=0.07, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_6 = DecimalParameter(44.0, 60.0, default=56.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_7 = DecimalParameter(0.04, 0.1, default=0.08, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_7 = DecimalParameter(46.0, 60.0, default=54.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_8 = DecimalParameter(0.06, 0.12, default=0.09, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_8 = DecimalParameter(40.0, 58.0, default=55.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_9 = DecimalParameter(0.08, 0.14, default=0.1, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_10 = DecimalParameter(0.1, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_10 = DecimalParameter(30.0, 50.0, default=42.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_under_profit_11 = DecimalParameter(0.16, 0.3, default=0.2, space='sell', decimals=3, optimize=False, load=True)
sell_custom_under_rsi_11 = DecimalParameter(24.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
# Profit targets for pumped pairs 48h 1
sell_custom_pump_profit_1_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_1_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_1_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_1_2 = DecimalParameter(36.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_1_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_1_3 = DecimalParameter(38.0, 50.0, default=42.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_1_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_1_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_1_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_1_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
# Profit targets for pumped pairs 36h 1
sell_custom_pump_profit_2_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_2_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_2_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_2_2 = DecimalParameter(36.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_2_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_2_3 = DecimalParameter(38.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_2_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_2_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_2_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_2_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
# Profit targets for pumped pairs 24h 1
sell_custom_pump_profit_3_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_3_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_3_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_3_2 = DecimalParameter(34.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_3_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_3_3 = DecimalParameter(38.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_3_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_3_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_profit_3_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_rsi_3_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True)
# SMA descending
sell_custom_dec_profit_min_1 = DecimalParameter(0.01, 0.10, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_dec_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True)
# Under EMA100
sell_custom_dec_profit_min_2 = DecimalParameter(0.05, 0.12, default=0.07, space='sell', decimals=3, optimize=False, load=True)
sell_custom_dec_profit_max_2 = DecimalParameter(0.06, 0.2, default=0.16, space='sell', decimals=3, optimize=False, load=True)
# Trail 1
sell_trail_profit_min_1 = DecimalParameter(0.1, 0.2, default=0.03, space='sell', decimals=2, optimize=False, load=True)
sell_trail_profit_max_1 = DecimalParameter(0.4, 0.7, default=0.05, space='sell', decimals=2, optimize=False, load=True)
sell_trail_down_1 = DecimalParameter(0.01, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=10.0, space='sell', decimals=1, optimize=False, load=True)
sell_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=20.0, space='sell', decimals=1, optimize=False, load=True)
# Trail 2
sell_trail_profit_min_2 = DecimalParameter(0.08, 0.16, default=0.1, space='sell', decimals=3, optimize=False, load=True)
sell_trail_profit_max_2 = DecimalParameter(0.3, 0.5, default=0.4, space='sell', decimals=2, optimize=False, load=True)
sell_trail_down_2 = DecimalParameter(0.02, 0.08, default=0.03, space='sell', decimals=3, optimize=False, load=True)
sell_trail_rsi_min_2 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True)
sell_trail_rsi_max_2 = DecimalParameter(30.0, 50.0, default=50.0, space='sell', decimals=1, optimize=False, load=True)
# Trail 3
sell_trail_profit_min_3 = DecimalParameter(0.01, 0.12, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_trail_profit_max_3 = DecimalParameter(0.1, 0.3, default=0.2, space='sell', decimals=2, optimize=False, load=True)
sell_trail_down_3 = DecimalParameter(0.01, 0.06, default=0.05, space='sell', decimals=3, optimize=False, load=True)
# Trail 4
sell_trail_profit_min_4 = DecimalParameter(0.01, 0.12, default=0.03, space='sell', decimals=3, optimize=False, load=True)
sell_trail_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=2, optimize=False, load=True)
sell_trail_down_4 = DecimalParameter(0.01, 0.06, default=0.02, space='sell', decimals=3, optimize=False, load=True)
# Under & near EMA200, accept profit
sell_custom_profit_under_profit_1 = DecimalParameter(0.0, 0.01, default=0.0, space='sell', optimize=False, load=True)
sell_custom_profit_under_rel_1 = DecimalParameter(0.01, 0.04, default=0.024, space='sell', optimize=False, load=True)
sell_custom_profit_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True)
sell_custom_profit_under_profit_2 = DecimalParameter(0.0, 0.05, default=0.03, space='sell', optimize=False, load=True)
sell_custom_profit_under_rel_2 = DecimalParameter(0.01, 0.04, default=0.024, space='sell', optimize=False, load=True)
sell_custom_profit_under_rsi_diff_2 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True)
# Under & near EMA200, take the loss
sell_custom_stoploss_under_rel_1 = DecimalParameter(0.001, 0.02, default=0.002, space='sell', optimize=False, load=True)
sell_custom_stoploss_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=10.0, space='sell', optimize=False, load=True)
# Long duration/recover stoploss 1
sell_custom_stoploss_long_profit_min_1 = DecimalParameter(-0.1, -0.02, default=-0.08, space='sell', optimize=False, load=True)
sell_custom_stoploss_long_profit_max_1 = DecimalParameter(-0.06, -0.01, default=-0.04, space='sell', optimize=False, load=True)
sell_custom_stoploss_long_recover_1 = DecimalParameter(0.05, 0.15, default=0.14, space='sell', optimize=False, load=True)
sell_custom_stoploss_long_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.0, space='sell', optimize=False, load=True)
# Long duration/recover stoploss 2
sell_custom_stoploss_long_recover_2 = DecimalParameter(0.03, 0.15, default=0.06, space='sell', optimize=False, load=True)
sell_custom_stoploss_long_rsi_diff_2 = DecimalParameter(30.0, 50.0, default=40.0, space='sell', optimize=False, load=True)
# Pumped, descending SMA
sell_custom_pump_dec_profit_min_1 = DecimalParameter(0.001, 0.04, default=0.005, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_max_1 = DecimalParameter(0.03, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_min_2 = DecimalParameter(0.01, 0.08, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_max_2 = DecimalParameter(0.04, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_min_3 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_max_3 = DecimalParameter(0.06, 0.12, default=0.09, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_min_4 = DecimalParameter(0.01, 0.05, default=0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_dec_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.04, space='sell', decimals=3, optimize=False, load=True)
# Pumped 48h 1, under EMA200
sell_custom_pump_under_profit_min_1 = DecimalParameter(0.02, 0.06, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_under_profit_max_1 = DecimalParameter(0.04, 0.1, default=0.09, space='sell', decimals=3, optimize=False, load=True)
# Pumped trail 1
sell_custom_pump_trail_profit_min_1 = DecimalParameter(0.01, 0.12, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_trail_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.07, space='sell', decimals=2, optimize=False, load=True)
sell_custom_pump_trail_down_1 = DecimalParameter(0.01, 0.06, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_pump_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True)
sell_custom_pump_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=70.0, space='sell', decimals=1, optimize=False, load=True)
# Stoploss, pumped, 48h 1
sell_custom_stoploss_pump_max_profit_1 = DecimalParameter(0.01, 0.04, default=0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_min_1 = DecimalParameter(-0.1, -0.01, default=-0.02, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_max_1 = DecimalParameter(-0.1, -0.01, default=-0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_ma_offset_1 = DecimalParameter(0.7, 0.99, default=0.94, space='sell', decimals=2, optimize=False, load=True)
# Stoploss, pumped, 48h 1
sell_custom_stoploss_pump_max_profit_2 = DecimalParameter(0.01, 0.04, default=0.025, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_loss_2 = DecimalParameter(-0.1, -0.01, default=-0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_ma_offset_2 = DecimalParameter(0.7, 0.99, default=0.92, space='sell', decimals=2, optimize=False, load=True)
# Stoploss, pumped, 36h 3
sell_custom_stoploss_pump_max_profit_3 = DecimalParameter(0.01, 0.04, default=0.008, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_loss_3 = DecimalParameter(-0.16, -0.06, default=-0.12, space='sell', decimals=3, optimize=False, load=True)
sell_custom_stoploss_pump_ma_offset_3 = DecimalParameter(0.7, 0.99, default=0.88, space='sell', decimals=2, optimize=False, load=True)
# Recover
sell_custom_recover_profit_1 = DecimalParameter(0.01, 0.06, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_custom_recover_min_loss_1 = DecimalParameter(0.06, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True)
sell_custom_recover_profit_min_2 = DecimalParameter(0.01, 0.04, default=0.01, space='sell', decimals=3, optimize=False, load=True)
sell_custom_recover_profit_max_2 = DecimalParameter(0.02, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True)
sell_custom_recover_min_loss_2 = DecimalParameter(0.04, 0.16, default=0.06, space='sell', decimals=3, optimize=False, load=True)
sell_custom_recover_rsi_2 = DecimalParameter(32.0, 52.0, default=46.0, space='sell', decimals=1, optimize=False, load=True)
# Profit for long duration trades
sell_custom_long_profit_min_1 = DecimalParameter(0.01, 0.04, default=0.03, space='sell', decimals=3, optimize=False, load=True)
sell_custom_long_profit_max_1 = DecimalParameter(0.02, 0.08, default=0.04, space='sell', decimals=3, optimize=False, load=True)
sell_custom_long_duration_min_1 = IntParameter(700, 2000, default=900, space='sell', optimize=False, load=True)
#############################################################
hold_trade_ids = hold_trade_ids_profit_ratio = None
def load_hold_trades_config(self):
if self.hold_trade_ids is not None and self.hold_trade_ids_profit_ratio is not None:
# Already loaded
return
# Default Values
self.hold_trade_ids = set()
self.hold_trade_ids_profit_ratio = 0.005
# Update values from config file, if it exists
strat_directory = pathlib.Path(__file__).resolve().parent
hold_trades_config_file = strat_directory / "hold-trades.json"
if not hold_trades_config_file.is_file():
return
with hold_trades_config_file.open('r') as f:
try:
hold_trades_config = json_load(f)
except rapidjson.JSONDecodeError as exc:
log.error("Failed to load JSON from %s: %s", hold_trades_config_file, exc)
else:
profit_ratio = hold_trades_config.get("profit_ratio")
if profit_ratio:
if not isinstance(profit_ratio, float):
log.error(
"The 'profit_ratio' config value(%s) in %s is not a float",
profit_ratio,
hold_trades_config_file
)
else:
self.hold_trade_ids_profit_ratio = profit_ratio
open_trades = {
trade.id: trade for trade in Trade.get_trades_proxy(is_open=True)
}
formatted_profit_ratio = "{}%".format(self.hold_trade_ids_profit_ratio * 100)
for trade_id in hold_trades_config.get("trade_ids", ()):
if not isinstance(trade_id, int):
log.error(
"The trade_id(%s) defined under 'trade_ids' in %s is not an integer",
trade_id, hold_trades_config_file
)
continue
if trade_id in open_trades:
log.warning(
"The trade %s is configured to HOLD until the profit ratio of %s is met",
open_trades[trade_id],
formatted_profit_ratio
)
self.hold_trade_ids.add(trade_id)
else:
log.warning(
"The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s",
trade_id,
hold_trades_config_file
)
def bot_loop_start(self, **kwargs) -> None:
"""
Called at the start of the bot iteration (one loop).
Might be used to perform pair-independent tasks
(e.g. gather some remote resource for comparison)
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
"""
self.load_hold_trades_config()
return super().bot_loop_start(**kwargs)
def get_ticker_indicator(self):
return int(self.timeframe[:-1])
def sell_over_main(self, current_profit: float, last_candle) -> tuple:
if last_candle['close'] > last_candle['ema_200']:
if current_profit > self.sell_custom_profit_11.value:
if last_candle['rsi'] < self.sell_custom_rsi_11.value:
return True, 'signal_profit_11'
elif self.sell_custom_profit_11.value > current_profit > self.sell_custom_profit_10.value:
if last_candle['rsi'] < self.sell_custom_rsi_10.value:
return True, 'signal_profit_10'
elif self.sell_custom_profit_10.value > current_profit > self.sell_custom_profit_9.value:
if last_candle['rsi'] < self.sell_custom_rsi_9.value:
return True, 'signal_profit_9'
elif self.sell_custom_profit_9.value > current_profit > self.sell_custom_profit_8.value:
if last_candle['rsi'] < self.sell_custom_rsi_8.value:
return True, 'signal_profit_8'
elif self.sell_custom_profit_8.value > current_profit > self.sell_custom_profit_7.value:
if (last_candle['rsi'] < self.sell_custom_rsi_7.value) & (last_candle['cmf'] < 0.0) :
return True, 'signal_profit_7'
elif self.sell_custom_profit_7.value > current_profit > self.sell_custom_profit_6.value:
if (last_candle['rsi'] < self.sell_custom_rsi_6.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_6'
elif self.sell_custom_profit_6.value > current_profit > self.sell_custom_profit_5.value:
if (last_candle['rsi'] < self.sell_custom_rsi_5.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_5'
elif self.sell_custom_profit_5.value > current_profit > self.sell_custom_profit_4.value:
if (last_candle['rsi'] < self.sell_custom_rsi_4.value) & (last_candle['cmf'] < 0.0) :
return True, 'signal_profit_4'
elif self.sell_custom_profit_4.value > current_profit > self.sell_custom_profit_3.value:
if (last_candle['rsi'] < self.sell_custom_rsi_3.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_3'
elif self.sell_custom_profit_3.value > current_profit > self.sell_custom_profit_2.value:
if (last_candle['rsi'] < self.sell_custom_rsi_2.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_2'
elif self.sell_custom_profit_2.value > current_profit > self.sell_custom_profit_1.value:
if (last_candle['rsi'] < self.sell_custom_rsi_1.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_1'
elif self.sell_custom_profit_1.value > current_profit > self.sell_custom_profit_0.value:
if (last_candle['rsi'] < self.sell_custom_rsi_0.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_0'
return False, None
def sell_under_main(self, current_profit: float, last_candle) -> tuple:
if last_candle['close'] < last_candle['ema_200']:
if current_profit > self.sell_custom_under_profit_11.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_11.value:
return True, 'signal_profit_u_11'
elif self.sell_custom_under_profit_11.value > current_profit > self.sell_custom_under_profit_10.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_10.value:
return True, 'signal_profit_u_10'
elif self.sell_custom_under_profit_10.value > current_profit > self.sell_custom_under_profit_9.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_9.value:
return True, 'signal_profit_u_9'
elif self.sell_custom_under_profit_9.value > current_profit > self.sell_custom_under_profit_8.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_8.value:
return True, 'signal_profit_u_8'
elif self.sell_custom_under_profit_8.value > current_profit > self.sell_custom_under_profit_7.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_7.value:
return True, 'signal_profit_u_7'
elif self.sell_custom_under_profit_7.value > current_profit > self.sell_custom_under_profit_6.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_6.value:
return True, 'signal_profit_u_6'
elif self.sell_custom_under_profit_6.value > current_profit > self.sell_custom_under_profit_5.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_5.value:
return True, 'signal_profit_u_5'
elif self.sell_custom_under_profit_5.value > current_profit > self.sell_custom_under_profit_4.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_4.value:
return True, 'signal_profit_u_4'
elif self.sell_custom_under_profit_4.value > current_profit > self.sell_custom_under_profit_3.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_3.value:
return True, 'signal_profit_u_3'
elif self.sell_custom_under_profit_3.value > current_profit > self.sell_custom_under_profit_2.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_2.value:
return True, 'signal_profit_u_2'
elif self.sell_custom_under_profit_2.value > current_profit > self.sell_custom_under_profit_1.value:
if last_candle['rsi'] < self.sell_custom_under_rsi_1.value:
return True, 'signal_profit_u_1'
elif self.sell_custom_under_profit_1.value > current_profit > self.sell_custom_under_profit_0.value:
if (last_candle['rsi'] < self.sell_custom_under_rsi_0.value) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_u_0'
return False, None
def sell_pump_main(self, current_profit: float, last_candle) -> tuple:
if last_candle['sell_pump_48_1_1h']:
if current_profit > self.sell_custom_pump_profit_1_5.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_1_5.value:
return True, 'signal_profit_p_1_5'
elif self.sell_custom_pump_profit_1_5.value > current_profit > self.sell_custom_pump_profit_1_4.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_1_4.value:
return True, 'signal_profit_p_1_4'
elif self.sell_custom_pump_profit_1_4.value > current_profit > self.sell_custom_pump_profit_1_3.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_1_3.value:
return True, 'signal_profit_p_1_3'
elif self.sell_custom_pump_profit_1_3.value > current_profit > self.sell_custom_pump_profit_1_2.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_1_2.value:
return True, 'signal_profit_p_1_2'
elif self.sell_custom_pump_profit_1_2.value > current_profit > self.sell_custom_pump_profit_1_1.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_1_1.value:
return True, 'signal_profit_p_1_1'
elif last_candle['sell_pump_36_1_1h']:
if current_profit > self.sell_custom_pump_profit_2_5.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_2_5.value:
return True, 'signal_profit_p_2_5'
elif self.sell_custom_pump_profit_2_5.value > current_profit > self.sell_custom_pump_profit_2_4.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_2_4.value:
return True, 'signal_profit_p_2_4'
elif self.sell_custom_pump_profit_2_4.value > current_profit > self.sell_custom_pump_profit_2_3.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_2_3.value:
return True, 'signal_profit_p_2_3'
elif self.sell_custom_pump_profit_2_3.value > current_profit > self.sell_custom_pump_profit_2_2.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_2_2.value:
return True, 'signal_profit_p_2_2'
elif self.sell_custom_pump_profit_2_2.value > current_profit > self.sell_custom_pump_profit_2_1.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_2_1.value:
return True, 'signal_profit_p_2_1'
elif last_candle['sell_pump_24_1_1h']:
if current_profit > self.sell_custom_pump_profit_3_5.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_3_5.value:
return True, 'signal_profit_p_3_5'
elif self.sell_custom_pump_profit_3_5.value > current_profit > self.sell_custom_pump_profit_3_4.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_3_4.value:
return True, 'signal_profit_p_3_4'
elif self.sell_custom_pump_profit_3_4.value > current_profit > self.sell_custom_pump_profit_3_3.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_3_3.value:
return True, 'signal_profit_p_3_3'
elif self.sell_custom_pump_profit_3_3.value > current_profit > self.sell_custom_pump_profit_3_2.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_3_2.value:
return True, 'signal_profit_p_3_2'
elif self.sell_custom_pump_profit_3_2.value > current_profit > self.sell_custom_pump_profit_3_1.value:
if last_candle['rsi'] < self.sell_custom_pump_rsi_3_1.value:
return True, 'signal_profit_p_3_1'
return False, None
def sell_dec_main(self, current_profit: float, last_candle) -> tuple:
if (self.sell_custom_dec_profit_max_1.value > current_profit > self.sell_custom_dec_profit_min_1.value) & (last_candle['sma_200_dec_20']):
return True, 'signal_profit_d_1'
elif (self.sell_custom_dec_profit_max_2.value > current_profit > self.sell_custom_dec_profit_min_2.value) & (last_candle['close'] < last_candle['ema_100']):
return True, 'signal_profit_d_2'
return False, None
def sell_trail_main(self, current_profit: float, last_candle, max_profit: float) -> tuple:
if (self.sell_trail_profit_max_1.value > current_profit > self.sell_trail_profit_min_1.value) & (self.sell_trail_rsi_min_1.value < last_candle['rsi'] < self.sell_trail_rsi_max_1.value) & (max_profit > (current_profit + self.sell_trail_down_1.value)) & (last_candle['moderi_96'] == False):
return True, 'signal_profit_t_1'
elif (self.sell_trail_profit_max_2.value > current_profit > self.sell_trail_profit_min_2.value) & (self.sell_trail_rsi_min_2.value < last_candle['rsi'] < self.sell_trail_rsi_max_2.value) & (max_profit > (current_profit + self.sell_trail_down_2.value)) & (last_candle['ema_25'] < last_candle['ema_50']):
return True, 'signal_profit_t_2'
elif (self.sell_trail_profit_max_3.value > current_profit > self.sell_trail_profit_min_3.value) & (max_profit > (current_profit + self.sell_trail_down_3.value)) & (last_candle['sma_200_dec_20_1h']):
return True, 'signal_profit_t_3'
elif (self.sell_trail_profit_max_4.value > current_profit > self.sell_trail_profit_min_4.value) & (max_profit > (current_profit + self.sell_trail_down_4.value)) & (last_candle['sma_200_dec_24']) & (last_candle['cmf'] < 0.0):
return True, 'signal_profit_t_4'
return False, None
def sell_duration_main(self, current_profit: float, last_candle, trade: 'Trade', current_time: 'datetime') -> tuple:
# Pumped pair, short duration
if (last_candle['sell_pump_24_1_1h']) & (0.2 > current_profit > 0.07) & (current_time - timedelta(minutes=30) < trade.open_date_utc):
return True, 'signal_profit_p_s_1'
elif (self.sell_custom_long_profit_min_1.value < current_profit < self.sell_custom_long_profit_max_1.value) & (current_time - timedelta(minutes=self.sell_custom_long_duration_min_1.value) > trade.open_date_utc):
return True, 'signal_profit_l_1'
return False, None
def sell_under_min(self, current_profit: float, last_candle) -> tuple:
if ((last_candle['moderi_96']) == False):
# Downtrend
if (current_profit > self.sell_custom_profit_under_profit_1.value) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_profit_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_profit_under_rsi_diff_1.value):
return True, 'signal_profit_u_e_1'
else:
# Uptrend
if (current_profit > self.sell_custom_profit_under_profit_2.value) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_profit_under_rel_2.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_profit_under_rsi_diff_2.value):
return True, 'signal_profit_u_e_2'
return False, None
def sell_stoploss(self, current_profit: float, last_candle, trade: 'Trade', current_time: 'datetime', max_loss: float, max_profit: float) -> tuple:
if (current_profit < -0.0) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_stoploss_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_stoploss_under_rsi_diff_1.value) & (last_candle['cmf'] < -0.2) & (last_candle['sma_200_dec_24']) & (current_time - timedelta(minutes=720) > trade.open_date_utc):
return True, 'signal_stoploss_u_1'
# Under EMA200, pair & BTC negative, low max rate
elif (-0.1 > current_profit > -0.14) & (last_candle['btc_not_downtrend_1h'] == False) & (last_candle['moderi_32'] == False) & (last_candle['moderi_64'] == False) & (max_profit < 0.005) & (max_loss < 0.14) & (last_candle['sma_200_dec_24']) & (last_candle['cmf'] < -0.0) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['ema_25'] < last_candle['ema_50']) & (last_candle['cti'] < -0.8) & (last_candle['r_480'] < -50.0):
return True, 'signal_stoploss_u_b_1'
# Under EMA200, pair & BTC negative, CTI, Elder Ray Index negative, normal max rate
elif (-0.1 > current_profit > -0.2) & (last_candle['btc_not_downtrend_1h'] == False) & (last_candle['moderi_32'] == False) & (last_candle['moderi_64'] == False) & (last_candle['moderi_96'] == False) & (max_profit < 0.05) & (max_loss < 0.2) & (last_candle['sma_200_dec_24'])& (last_candle['sma_200_dec_20_1h']) & (last_candle['cmf'] < -0.45) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['ema_25'] < last_candle['ema_50']) & (last_candle['cti'] < -0.8) & (last_candle['r_480'] < -97.0):
return True, 'signal_stoploss_u_b_2'
elif (self.sell_custom_stoploss_long_profit_min_1.value < current_profit < self.sell_custom_stoploss_long_profit_max_1.value) & (current_profit > (-max_loss + self.sell_custom_stoploss_long_recover_1.value)) & (last_candle['cmf'] < 0.0) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_stoploss_long_rsi_diff_1.value) & (last_candle['sma_200_dec_24']) & (current_time - timedelta(minutes=1200) > trade.open_date_utc):
return True, 'signal_stoploss_l_r_u_1'
elif (current_profit < -0.0) & (current_profit > (-max_loss + self.sell_custom_stoploss_long_recover_2.value)) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['cmf'] < 0.0) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_stoploss_long_rsi_diff_2.value) & (last_candle['sma_200_dec_24']) & (current_time - timedelta(minutes=1200) > trade.open_date_utc):
return True, 'signal_stoploss_l_r_u_2'
elif (max_profit < self.sell_custom_stoploss_pump_max_profit_2.value) & (current_profit < self.sell_custom_stoploss_pump_loss_2.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['cmf'] < 0.0) & (last_candle['sma_200_dec_20_1h']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_2.value)):
return True, 'signal_stoploss_p_2'
elif (max_profit < self.sell_custom_stoploss_pump_max_profit_3.value) & (current_profit < self.sell_custom_stoploss_pump_loss_3.value) & (last_candle['sell_pump_36_3_1h']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_3.value)):
return True, 'signal_stoploss_p_3'
return False, None
def sell_pump_dec(self, current_profit: float, last_candle) -> tuple:
if (self.sell_custom_pump_dec_profit_max_1.value > current_profit > self.sell_custom_pump_dec_profit_min_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < last_candle['ema_200']):
return True, 'signal_profit_p_d_1'
elif (self.sell_custom_pump_dec_profit_max_2.value > current_profit > self.sell_custom_pump_dec_profit_min_2.value) & (last_candle['sell_pump_48_2_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < last_candle['ema_200']):
return True, 'signal_profit_p_d_2'
elif (self.sell_custom_pump_dec_profit_max_3.value > current_profit > self.sell_custom_pump_dec_profit_min_3.value) & (last_candle['sell_pump_48_3_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < last_candle['ema_200']):
return True, 'signal_profit_p_d_3'
elif (self.sell_custom_pump_dec_profit_max_4.value > current_profit > self.sell_custom_pump_dec_profit_min_4.value) & (last_candle['sma_200_dec_20']) & (last_candle['sell_pump_24_2_1h']):
return True, 'signal_profit_p_d_4'
return False, None
def sell_pump_extra(self, current_profit: float, last_candle, max_profit: float) -> tuple:
# Pumped 48h 1, under EMA200
if (self.sell_custom_pump_under_profit_max_1.value > current_profit > self.sell_custom_pump_under_profit_min_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['close'] < last_candle['ema_200']):
return True, 'signal_profit_p_u_1'
# Pumped 36h 2, trail 1
elif (last_candle['sell_pump_36_2_1h']) & (self.sell_custom_pump_trail_profit_max_1.value > current_profit > self.sell_custom_pump_trail_profit_min_1.value) & (self.sell_custom_pump_trail_rsi_min_1.value < last_candle['rsi'] < self.sell_custom_pump_trail_rsi_max_1.value) & (max_profit > (current_profit + self.sell_custom_pump_trail_down_1.value)):
return True, 'signal_profit_p_t_1'
return False, None
def sell_recover(self, current_profit: float, last_candle, max_loss: float) -> tuple:
if (max_loss > self.sell_custom_recover_min_loss_1.value) & (current_profit > self.sell_custom_recover_profit_1.value):
return True, 'signal_profit_r_1'
elif (max_loss > self.sell_custom_recover_min_loss_2.value) & (self.sell_custom_recover_profit_max_2.value > current_profit > self.sell_custom_recover_profit_min_2.value) & (last_candle['rsi'] < self.sell_custom_recover_rsi_2.value) & (last_candle['ema_25'] < last_candle['ema_50']):
return True, 'signal_profit_r_2'
return False, None
def sell_r_1(self, current_profit: float, last_candle) -> tuple:
if 0.02 > current_profit > 0.012:
if last_candle['r_480'] > -2.0:
return True, 'signal_profit_w_1_1'
elif 0.03 > current_profit > 0.02:
if last_candle['r_480'] > -2.1:
return True, 'signal_profit_w_1_2'
elif 0.04 > current_profit > 0.03:
if last_candle['r_480'] > -2.2:
return True, 'signal_profit_w_1_3'
elif 0.05 > current_profit > 0.04:
if last_candle['r_480'] > -2.3:
return True, 'signal_profit_w_1_4'
elif 0.06 > current_profit > 0.05:
if last_candle['r_480'] > -2.4:
return True, 'signal_profit_w_1_5'
elif 0.07 > current_profit > 0.06:
if last_candle['r_480'] > -2.5: ###
return True, 'signal_profit_w_1_6'
elif 0.08 > current_profit > 0.07:
if last_candle['r_480'] > -2.6:
return True, 'signal_profit_w_1_7'
elif 0.09 > current_profit > 0.08:
if last_candle['r_480'] > -5.5:
return True, 'signal_profit_w_1_8'
elif 0.1 > current_profit > 0.09:
if last_candle['r_480'] > -3.0:
return True, 'signal_profit_w_1_9'
elif 0.12 > current_profit > 0.1:
if last_candle['r_480'] > -8.0:
return True, 'signal_profit_w_1_10'
elif 0.2 > current_profit > 0.12:
if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 78.0):
return True, 'signal_profit_w_1_11'
elif current_profit > 0.2:
if (last_candle['r_480'] > -1.5) & (last_candle['rsi'] > 80.0):
return True, 'signal_profit_w_1_12'
return False, None
def sell_r_2(self, current_profit: float, last_candle) -> tuple:
if 0.02 > current_profit > 0.012:
if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_1'
elif 0.03 > current_profit > 0.02:
if (last_candle['r_480'] > -2.1) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_2'
elif 0.04 > current_profit > 0.03:
if (last_candle['r_480'] > -2.2) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_3'
elif 0.05 > current_profit > 0.04:
if (last_candle['r_480'] > -2.3) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_4'
elif 0.06 > current_profit > 0.05:
if (last_candle['r_480'] > -2.4) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_5'
elif 0.07 > current_profit > 0.06:
if (last_candle['r_480'] > -2.5) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_6'
elif 0.08 > current_profit > 0.07:
if (last_candle['r_480'] > -34.0) & (last_candle['rsi'] > 80.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_7'
elif 0.09 > current_profit > 0.08:
if (last_candle['r_480'] > -3.0) & (last_candle['rsi'] > 80.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_8'
elif 0.1 > current_profit > 0.09:
if (last_candle['r_480'] > -2.8) & (last_candle['rsi'] > 80.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_9'
elif 0.12 > current_profit > 0.1:
if (last_candle['r_480'] > -2.4) & (last_candle['rsi'] > 80.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_10'
elif 0.2 > current_profit > 0.12:
if (last_candle['r_480'] > -2.2) & (last_candle['rsi'] > 81.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_11'
elif current_profit > 0.2:
if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 81.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_2_12'
return False, None
def sell_r_3(self, current_profit: float, last_candle) -> tuple:
if 0.02 > current_profit > 0.012:
if (last_candle['r_480'] > -6.0) & (last_candle['rsi'] > 74.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_3_1'
elif 0.03 > current_profit > 0.02:
if (last_candle['r_480'] > -8.0) & (last_candle['rsi'] > 74.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_3_2'
elif 0.04 > current_profit > 0.03:
if (last_candle['r_480'] > -29.0) & (last_candle['rsi'] > 74.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_3_3'
elif 0.05 > current_profit > 0.04:
if (last_candle['r_480'] > -30.0) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0):
return True, 'signal_profit_w_3_4'
return False, None
def sell_r_4(self, current_profit: float, last_candle) -> tuple:
if (0.02 > current_profit > 0.012):
if (last_candle['r_480'] > -3.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_1'
elif (0.03 > current_profit > 0.02):
if (last_candle['r_480'] > -4.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_2'
elif (0.04 > current_profit > 0.03):
if (last_candle['r_480'] > -5.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_3'
elif (0.05 > current_profit > 0.04):
if (last_candle['r_480'] > -6.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_4'
elif (0.06 > current_profit > 0.05):
if (last_candle['r_480'] > -24.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_5'
elif (0.07 > current_profit > 0.06):
if (last_candle['r_480'] > -26.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_6'
elif (0.08 > current_profit > 0.07):
if (last_candle['r_480'] > -20.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_7'
elif (0.09 > current_profit > 0.08):
if (last_candle['r_480'] > -18.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_8'
elif (0.1 > current_profit > 0.09):
if (last_candle['r_480'] > -16.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_9'
elif (0.12 > current_profit > 0.1):
if (last_candle['r_480'] > -5.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_10'
elif (0.2 > current_profit > 0.12):
if (last_candle['r_480'] > -4.0) & (last_candle['rsi'] > 80.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_11'
elif (current_profit > 0.2):
if (last_candle['r_480'] > -3.0) & (last_candle['rsi'] > 80.0) & (last_candle['cti'] > 0.9):
return True, 'signal_profit_w_4_12'
return False, None
def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float,
current_profit: float, **kwargs):
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
last_candle = dataframe.iloc[-1].squeeze()
previous_candle_1 = dataframe.iloc[-2].squeeze()
previous_candle_2 = dataframe.iloc[-3].squeeze()
previous_candle_3 = dataframe.iloc[-4].squeeze()
previous_candle_4 = dataframe.iloc[-5].squeeze()
previous_candle_5 = dataframe.iloc[-6].squeeze()
max_profit = ((trade.max_rate - trade.open_rate) / trade.open_rate)
max_loss = ((trade.open_rate - trade.min_rate) / trade.min_rate)
if (last_candle is not None) & (previous_candle_1 is not None) & (previous_candle_2 is not None) & (previous_candle_3 is not None) & (previous_candle_4 is not None) & (previous_candle_5 is not None):
# Over EMA200, main profit targets
sell, signal_name = self.sell_over_main(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Under EMA200, main profit targets
sell, signal_name = self.sell_under_main(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# The pair is pumped
sell, signal_name = self.sell_pump_main(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# The pair is descending
sell, signal_name = self.sell_dec_main(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Trailing
sell, signal_name = self.sell_trail_main(current_profit, last_candle, max_profit)
if sell and (signal_name is not None):
return signal_name
# Duration based
sell, signal_name = self.sell_duration_main(current_profit, last_candle, trade, current_time)
if sell and (signal_name is not None):
return signal_name
# Under EMA200, exit with any profit
sell, signal_name = self.sell_under_min(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Stoplosses
sell, signal_name = self.sell_stoploss(current_profit, last_candle, trade, current_time, max_loss, max_profit)
if sell and (signal_name is not None):
return signal_name
# Pumped descending pairs
sell, signal_name = self.sell_pump_dec(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Extra sells for pumped pairs
sell, signal_name = self.sell_pump_extra(current_profit, last_candle, max_profit)
if sell and (signal_name is not None):
return signal_name
# Extra sells for trades that recovered
sell, signal_name = self.sell_recover(current_profit, last_candle, max_loss)
if sell and (signal_name is not None):
return signal_name
# Williams %R based sell 1
sell, signal_name = self.sell_r_1(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Williams %R based sell 2
sell, signal_name = self.sell_r_2(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Williams %R based sell 3
sell, signal_name = self.sell_r_3(current_profit, last_candle)
if sell and (signal_name is not None):
return signal_name
# Williams %R based sell 4, plus CTI
sell, signal_name = self.sell_r_4(current_profit, last_candle)
if (sell) and (signal_name is not None):
return signal_name
# Sell signal 1
if self.sell_condition_1_enable.value & (last_candle['rsi'] > self.sell_rsi_bb_1.value) & (last_candle['close'] > last_candle['bb20_2_upp']) & (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) & (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) & (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) & (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']) & (previous_candle_5['close'] > previous_candle_5['bb20_2_upp']):
return 'sell_signal_1'
# Sell signal 2
elif (self.sell_condition_2_enable.value) & (last_candle['rsi'] > self.sell_rsi_bb_2.value) & (last_candle['close'] > last_candle['bb20_2_upp']) & (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) & (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.0):
return 'sell_signal_2_1_1'
elif (max_loss > 0.07):
return 'sell_signal_2_1_2'
else:
return 'sell_signal_2_2'
# Sell signal 3
# elif (self.sell_condition_3_enable.value) & (last_candle['rsi'] > self.sell_rsi_main_3.value):
# return 'sell_signal_3'
# Sell signal 4
elif self.sell_condition_4_enable.value & (last_candle['rsi'] > self.sell_dual_rsi_rsi_4.value) & (last_candle['rsi_1h'] > self.sell_dual_rsi_rsi_1h_4.value):
return 'sell_signal_4'
# Sell signal 6
elif self.sell_condition_6_enable.value & (last_candle['close'] < last_candle['ema_200']) & (last_candle['close'] > last_candle['ema_50']) & (last_candle['rsi'] > self.sell_rsi_under_6.value):
return 'sell_signal_6'
# Sell signal 7
elif self.sell_condition_7_enable.value & (last_candle['rsi_1h'] > self.sell_rsi_1h_7.value) & (last_candle['crossed_below_ema_12_26']):
return 'sell_signal_7'
# Sell signal 8
elif self.sell_condition_8_enable.value & (last_candle['close'] > last_candle['bb20_2_upp_1h'] * self.sell_bb_relative_8.value):
return 'sell_signal_8'
# Sell signal 9
elif (last_candle['zlema_1'] < last_candle['zlema_4']) & (last_candle['open'] < last_candle['close']) & (previous_candle_1['zlema_1'] > previous_candle_1['zlema_4']):
return 'sell_signal_9'
return None
def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float:
"""
Rolling Percentage Change Maximum across interval.
:param dataframe: DataFrame The original OHLC dataframe
:param method: High to Low / Open to Close
:param length: int The length to look back
"""
df = dataframe.copy()
if method == 'HL':
return (df['high'].rolling(length).max() - df['low'].rolling(length).min()) / df['low'].rolling(length).min()
elif method == 'OC':
return (df['open'].rolling(length).max() - df['close'].rolling(length).min()) / df['close'].rolling(length).min()
else:
raise ValueError(f"Method {method} not defined!")
def top_percent_change(self, dataframe: DataFrame, length: int) -> float:
"""
Percentage change of the current close from the range maximum Open price
:param dataframe: DataFrame The original OHLC dataframe
:param length: int The length to look back
"""
df = dataframe.copy()
if length == 0:
return (df['open'] - df['close']) / df['close']
else:
return (df['open'].rolling(length).max() - df['close']) / df['close']
def range_maxgap(self, dataframe: DataFrame, length: int) -> float:
"""
Maximum Price Gap across interval.
:param dataframe: DataFrame The original OHLC dataframe
:param length: int The length to look back
"""
df = dataframe.copy()
return df['open'].rolling(length).max() - df['close'].rolling(length).min()
def range_maxgap_adjusted(self, dataframe: DataFrame, length: int, adjustment: float) -> float:
"""
Maximum Price Gap across interval adjusted.
:param dataframe: DataFrame The original OHLC dataframe
:param length: int The length to look back
:param adjustment: int The adjustment to be applied
"""
return self.range_maxgap(dataframe, length) / adjustment
def range_height(self, dataframe: DataFrame, length: int) -> float:
"""
Current close distance to range bottom.
:param dataframe: DataFrame The original OHLC dataframe
:param length: int The length to look back
"""
df = dataframe.copy()
return df['close'] - df['close'].rolling(length).min()
def safe_pump(self, dataframe: DataFrame, length: int, thresh: float, pull_thresh: float) -> bool:
"""
Determine if entry after a pump is safe.
:param dataframe: DataFrame The original OHLC dataframe
:param length: int The length to look back
:param thresh: int Maximum percentage change threshold
:param pull_thresh: int Pullback from interval maximum threshold
"""
df = dataframe.copy()
return (df[f'oc_pct_change_{length}'] < thresh) | (self.range_maxgap_adjusted(df, length, pull_thresh) > self.range_height(df, length))
def safe_dips(self, dataframe: DataFrame, thresh_0, thresh_2, thresh_12, thresh_144) -> bool:
"""
Determine if dip is safe to enter.
:param dataframe: DataFrame The original OHLC dataframe
:param thresh_0: Threshold value for 0 length top pct change
:param thresh_2: Threshold value for 2 length top pct change
:param thresh_12: Threshold value for 12 length top pct change
:param thresh_144: Threshold value for 144 length top pct change
"""
return ((dataframe['tpct_change_0'] < thresh_0) &
(dataframe['tpct_change_2'] < thresh_2) &
(dataframe['tpct_change_12'] < thresh_12) &
(dataframe['tpct_change_144'] < thresh_144))
def informative_pairs(self):
# get access to all pairs available in whitelist.
pairs = self.dp.current_whitelist()
# Assign tf to each pair so they can be downloaded and cached for strategy.
informative_pairs = [(pair, self.info_timeframe) for pair in pairs]
informative_pairs.append(('BTC/USDT', self.timeframe))
informative_pairs.append(('BTC/USDT', self.info_timeframe))
return informative_pairs
def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
assert self.dp, "DataProvider is required for multiple timeframes."
# Get the informative pair
informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.info_timeframe)
# EMA
informative_1h['ema_12'] = ta.EMA(informative_1h, timeperiod=12)
informative_1h['ema_15'] = ta.EMA(informative_1h, timeperiod=15)
informative_1h['ema_20'] = ta.EMA(informative_1h, timeperiod=20)
informative_1h['ema_26'] = ta.EMA(informative_1h, timeperiod=26)
informative_1h['ema_35'] = ta.EMA(informative_1h, timeperiod=35)
informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50)
informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100)
informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200)
# SMA
informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200)
informative_1h['sma_200_dec_20'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(20)
# RSI
informative_1h['rsi'] = ta.RSI(informative_1h, timeperiod=14)
# BB
bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2)
informative_1h['bb20_2_low'] = bollinger['lower']
informative_1h['bb20_2_mid'] = bollinger['mid']
informative_1h['bb20_2_upp'] = bollinger['upper']
# Chaikin Money Flow
informative_1h['cmf'] = chaikin_money_flow(informative_1h, 20)
# Williams %R
informative_1h['r_480'] = williams_r(informative_1h, period=480)
# Pump protections
informative_1h['hl_pct_change_48'] = self.range_percent_change(informative_1h, 'HL', 48)
informative_1h['hl_pct_change_36'] = self.range_percent_change(informative_1h, 'HL', 36)
informative_1h['hl_pct_change_24'] = self.range_percent_change(informative_1h, 'HL', 24)
informative_1h['oc_pct_change_48'] = self.range_percent_change(informative_1h, 'OC', 48)
informative_1h['oc_pct_change_36'] = self.range_percent_change(informative_1h, 'OC', 36)
informative_1h['oc_pct_change_24'] = self.range_percent_change(informative_1h, 'OC', 24)
informative_1h['hl_pct_change_5'] = self.range_percent_change(informative_1h, 'HL', 5)
informative_1h['low_5'] = informative_1h['low'].shift().rolling(5).min()
informative_1h['safe_pump_24_10'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_10_24.value, self.buy_pump_pull_threshold_10_24.value)
informative_1h['safe_pump_36_10'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_10_36.value, self.buy_pump_pull_threshold_10_36.value)
informative_1h['safe_pump_48_10'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_10_48.value, self.buy_pump_pull_threshold_10_48.value)
informative_1h['safe_pump_24_20'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_20_24.value, self.buy_pump_pull_threshold_20_24.value)
informative_1h['safe_pump_36_20'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_20_36.value, self.buy_pump_pull_threshold_20_36.value)
informative_1h['safe_pump_48_20'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_20_48.value, self.buy_pump_pull_threshold_20_48.value)
informative_1h['safe_pump_24_30'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_30_24.value, self.buy_pump_pull_threshold_30_24.value)
informative_1h['safe_pump_36_30'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_30_36.value, self.buy_pump_pull_threshold_30_36.value)
informative_1h['safe_pump_48_30'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_30_48.value, self.buy_pump_pull_threshold_30_48.value)
informative_1h['safe_pump_24_40'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_40_24.value, self.buy_pump_pull_threshold_40_24.value)
informative_1h['safe_pump_36_40'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_40_36.value, self.buy_pump_pull_threshold_40_36.value)
informative_1h['safe_pump_48_40'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_40_48.value, self.buy_pump_pull_threshold_40_48.value)
informative_1h['safe_pump_24_50'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_50_24.value, self.buy_pump_pull_threshold_50_24.value)
informative_1h['safe_pump_36_50'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_50_36.value, self.buy_pump_pull_threshold_50_36.value)
informative_1h['safe_pump_48_50'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_50_48.value, self.buy_pump_pull_threshold_50_48.value)
informative_1h['safe_pump_24_60'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_60_24.value, self.buy_pump_pull_threshold_60_24.value)
informative_1h['safe_pump_36_60'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_60_36.value, self.buy_pump_pull_threshold_60_36.value)
informative_1h['safe_pump_48_60'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_60_48.value, self.buy_pump_pull_threshold_60_48.value)
informative_1h['safe_pump_24_70'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_70_24.value, self.buy_pump_pull_threshold_70_24.value)
informative_1h['safe_pump_36_70'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_70_36.value, self.buy_pump_pull_threshold_70_36.value)
informative_1h['safe_pump_48_70'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_70_48.value, self.buy_pump_pull_threshold_70_48.value)
informative_1h['safe_pump_24_80'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_80_24.value, self.buy_pump_pull_threshold_80_24.value)
informative_1h['safe_pump_36_80'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_80_36.value, self.buy_pump_pull_threshold_80_36.value)
informative_1h['safe_pump_48_80'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_80_48.value, self.buy_pump_pull_threshold_80_48.value)
informative_1h['safe_pump_24_90'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_90_24.value, self.buy_pump_pull_threshold_90_24.value)
informative_1h['safe_pump_36_90'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_90_36.value, self.buy_pump_pull_threshold_90_36.value)
informative_1h['safe_pump_48_90'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_90_48.value, self.buy_pump_pull_threshold_90_48.value)
informative_1h['safe_pump_24_100'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_100_24.value, self.buy_pump_pull_threshold_100_24.value)
informative_1h['safe_pump_36_100'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_100_36.value, self.buy_pump_pull_threshold_100_36.value)
informative_1h['safe_pump_48_100'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_100_48.value, self.buy_pump_pull_threshold_100_48.value)
informative_1h['safe_pump_24_110'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_110_24.value, self.buy_pump_pull_threshold_110_24.value)
informative_1h['safe_pump_36_110'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_110_36.value, self.buy_pump_pull_threshold_110_36.value)
informative_1h['safe_pump_48_110'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_110_48.value, self.buy_pump_pull_threshold_110_48.value)
informative_1h['safe_pump_24_120'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_120_24.value, self.buy_pump_pull_threshold_120_24.value)
informative_1h['safe_pump_36_120'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_120_36.value, self.buy_pump_pull_threshold_120_36.value)
informative_1h['safe_pump_48_120'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_120_48.value, self.buy_pump_pull_threshold_120_48.value)
informative_1h['safe_dump_10'] = ((informative_1h['hl_pct_change_5'] < self.buy_dump_protection_10_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']))
informative_1h['safe_dump_20'] = ((informative_1h['hl_pct_change_5'] < self.buy_dump_protection_20_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']))
informative_1h['safe_dump_30'] = ((informative_1h['hl_pct_change_5'] < self.buy_dump_protection_30_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']))
informative_1h['safe_dump_40'] = ((informative_1h['hl_pct_change_5'] < self.buy_dump_protection_40_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']))
informative_1h['safe_dump_50'] = ((informative_1h['hl_pct_change_5'] < self.buy_dump_protection_50_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']))
informative_1h['safe_dump_60'] = ((informative_1h['hl_pct_change_5'] < self.buy_dump_protection_60_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']))
informative_1h['sell_pump_48_1'] = (informative_1h['hl_pct_change_48'] > self.sell_pump_threshold_48_1.value)
informative_1h['sell_pump_48_2'] = (informative_1h['hl_pct_change_48'] > self.sell_pump_threshold_48_2.value)
informative_1h['sell_pump_48_3'] = (informative_1h['hl_pct_change_48'] > self.sell_pump_threshold_48_3.value)
informative_1h['sell_pump_36_1'] = (informative_1h['hl_pct_change_36'] > self.sell_pump_threshold_36_1.value)
informative_1h['sell_pump_36_2'] = (informative_1h['hl_pct_change_36'] > self.sell_pump_threshold_36_2.value)
informative_1h['sell_pump_36_3'] = (informative_1h['hl_pct_change_36'] > self.sell_pump_threshold_36_3.value)
informative_1h['sell_pump_24_1'] = (informative_1h['hl_pct_change_24'] > self.sell_pump_threshold_24_1.value)
informative_1h['sell_pump_24_2'] = (informative_1h['hl_pct_change_24'] > self.sell_pump_threshold_24_2.value)
informative_1h['sell_pump_24_3'] = (informative_1h['hl_pct_change_24'] > self.sell_pump_threshold_24_3.value)
return informative_1h
def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
# BB 40 - STD2
bb_40_std2 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2)
dataframe['bb40_2_low']= bb_40_std2['lower']
dataframe['bb40_2_mid'] = bb_40_std2['mid']
dataframe['bb40_2_delta'] = (bb_40_std2['mid'] - dataframe['bb40_2_low']).abs()
dataframe['closedelta'] = (dataframe['close'] - dataframe['close'].shift()).abs()
dataframe['tail'] = (dataframe['close'] - dataframe['bb40_2_low']).abs()
# BB 20 - STD2
bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
dataframe['bb20_2_low'] = bb_20_std2['lower']
dataframe['bb20_2_mid'] = bb_20_std2['mid']
dataframe['bb20_2_upp'] = bb_20_std2['upper']
# EMA 200
dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12)
dataframe['ema_15'] = ta.EMA(dataframe, timeperiod=15)
dataframe['ema_20'] = ta.EMA(dataframe, timeperiod=20)
dataframe['ema_25'] = ta.EMA(dataframe, timeperiod=25)
dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26)
dataframe['ema_35'] = ta.EMA(dataframe, timeperiod=35)
dataframe['ema_50'] = ta.EMA(dataframe, timeperiod=50)
dataframe['ema_100'] = ta.EMA(dataframe, timeperiod=100)
dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200)
# SMA
dataframe['sma_5'] = ta.SMA(dataframe, timeperiod=5)
dataframe['sma_20'] = ta.SMA(dataframe, timeperiod=20)
dataframe['sma_30'] = ta.SMA(dataframe, timeperiod=30)
dataframe['sma_200'] = ta.SMA(dataframe, timeperiod=200)
dataframe['sma_200_dec_20'] = dataframe['sma_200'] < dataframe['sma_200'].shift(20)
dataframe['sma_200_dec_24'] = dataframe['sma_200'] < dataframe['sma_200'].shift(24)
# MFI
dataframe['mfi'] = ta.MFI(dataframe)
# CMF
dataframe['cmf'] = chaikin_money_flow(dataframe, 20)
# EWO
dataframe['ewo'] = ewo(dataframe, 50, 200)
# RSI
dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
dataframe['rsi_4'] = ta.RSI(dataframe, timeperiod=4)
dataframe['rsi_20'] = ta.RSI(dataframe, timeperiod=20)
# Chopiness
dataframe['chop']= qtpylib.chopiness(dataframe, 14)
# Zero-Lag EMA
dataframe['zema'] = zema(dataframe, period=61)
# Williams %R
dataframe['r_480'] = williams_r(dataframe, period=480)
# Stochastic RSI
stochrsi = ta.STOCHRSI(dataframe, timeperiod=96, fastk_period=3, fastd_period=3, fastd_matype=0)
dataframe['stochrsi_fastk_96'] = stochrsi['fastk']
dataframe['stochrsi_fastd_96'] = stochrsi['fastd']
# Modified Elder Ray Index
dataframe['moderi_32'] = moderi(dataframe, 32)
dataframe['moderi_64'] = moderi(dataframe, 64)
dataframe['moderi_96'] = moderi(dataframe, 96)
# TSI
dataframe['tsi_slow'] = tsi(dataframe, window_slow=20, window_fast=5)
dataframe['tsi_ema_slow'] = ta.EMA(dataframe['tsi_slow'], timeperiod=5)
dataframe['tsi_fast'] = tsi(dataframe, window_slow=4, window_fast=2)
dataframe['tsi_ema_fast'] = ta.EMA(dataframe['tsi_fast'], timeperiod=2)
# hull
dataframe['hull_75'] = hull(dataframe, 75)
# zlema
dataframe['zlema_68'] = zlema(dataframe, 68)
# CTI
dataframe['cti'] = pta.cti(dataframe["close"], length=20)
# For sell checks
dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26'])
# Dip protection
dataframe['tpct_change_0'] = self.top_percent_change(dataframe,0)
dataframe['tpct_change_2'] = self.top_percent_change(dataframe,2)
dataframe['tpct_change_12'] = self.top_percent_change(dataframe,12)
dataframe['tpct_change_144'] = self.top_percent_change(dataframe,144)
dataframe['safe_dips_10'] = self.safe_dips(dataframe, self.buy_dip_threshold_10_1.value, self.buy_dip_threshold_10_2.value, self.buy_dip_threshold_10_3.value, self.buy_dip_threshold_10_4.value)
dataframe['safe_dips_20'] = self.safe_dips(dataframe, self.buy_dip_threshold_20_1.value, self.buy_dip_threshold_20_2.value, self.buy_dip_threshold_20_3.value, self.buy_dip_threshold_20_4.value)
dataframe['safe_dips_30'] = self.safe_dips(dataframe, self.buy_dip_threshold_30_1.value, self.buy_dip_threshold_30_2.value, self.buy_dip_threshold_30_3.value, self.buy_dip_threshold_30_4.value)
dataframe['safe_dips_40'] = self.safe_dips(dataframe, self.buy_dip_threshold_40_1.value, self.buy_dip_threshold_40_2.value, self.buy_dip_threshold_40_3.value, self.buy_dip_threshold_40_4.value)
dataframe['safe_dips_50'] = self.safe_dips(dataframe, self.buy_dip_threshold_50_1.value, self.buy_dip_threshold_50_2.value, self.buy_dip_threshold_50_3.value, self.buy_dip_threshold_50_4.value)
dataframe['safe_dips_60'] = self.safe_dips(dataframe, self.buy_dip_threshold_60_1.value, self.buy_dip_threshold_60_2.value, self.buy_dip_threshold_60_3.value, self.buy_dip_threshold_60_4.value)
dataframe['safe_dips_70'] = self.safe_dips(dataframe, self.buy_dip_threshold_70_1.value, self.buy_dip_threshold_70_2.value, self.buy_dip_threshold_70_3.value, self.buy_dip_threshold_70_4.value)
dataframe['safe_dips_80'] = self.safe_dips(dataframe, self.buy_dip_threshold_80_1.value, self.buy_dip_threshold_80_2.value, self.buy_dip_threshold_80_3.value, self.buy_dip_threshold_80_4.value)
dataframe['safe_dips_90'] = self.safe_dips(dataframe, self.buy_dip_threshold_90_1.value, self.buy_dip_threshold_90_2.value, self.buy_dip_threshold_90_3.value, self.buy_dip_threshold_90_4.value)
dataframe['safe_dips_100'] = self.safe_dips(dataframe, self.buy_dip_threshold_100_1.value, self.buy_dip_threshold_100_2.value, self.buy_dip_threshold_100_3.value, self.buy_dip_threshold_100_4.value)
dataframe['safe_dips_110'] = self.safe_dips(dataframe, self.buy_dip_threshold_110_1.value, self.buy_dip_threshold_110_2.value, self.buy_dip_threshold_110_3.value, self.buy_dip_threshold_110_4.value)
# Volume
dataframe['volume_mean_4'] = dataframe['volume'].rolling(4).mean().shift(1)
dataframe['volume_mean_30'] = dataframe['volume'].rolling(30).mean()
#Kalman Filter
dataframe['closeKF'] = KalmanFilter(dataframe)
#ZLEMA
dataframe['zlema_1'] = pta.zlma(dataframe['closeKF'], length=1)
dataframe['ema_data'] = dataframe['closeKF'] + (dataframe['closeKF'] - dataframe['closeKF'].shift(2))
dataframe['zlema_4'] = ta.EMA(dataframe['ema_data'], timeperiod = 4)
return dataframe
def resampled_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
# Indicators
# -----------------------------------------------------------------------------------------
dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
return dataframe
def base_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
# Indicators
# -----------------------------------------------------------------------------------------
dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
# Add prefix
# -----------------------------------------------------------------------------------------
ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume']
dataframe.rename(columns=lambda s: "btc_" + s if (not s in ignore_columns) else s, inplace=True)
return dataframe
def info_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
# Indicators
# -----------------------------------------------------------------------------------------
dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
dataframe['not_downtrend'] = ((dataframe['close'] > dataframe['close'].shift(2)) | (dataframe['rsi'] > 50))
# Add prefix
# -----------------------------------------------------------------------------------------
ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume']
dataframe.rename(columns=lambda s: "btc_" + s if (not s in ignore_columns) else s, inplace=True)
return dataframe
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
'''
--> BTC informative (5m/1h)
___________________________________________________________________________________________
'''
if self.has_BTC_base_tf:
btc_base_tf = self.dp.get_pair_dataframe("BTC/USDT", self.timeframe)
btc_base_tf = self.base_tf_btc_indicators(btc_base_tf, metadata)
dataframe = merge_informative_pair(dataframe, btc_base_tf, self.timeframe, self.timeframe, ffill=True)
drop_columns = [(s + "_" + self.timeframe) for s in ['date', 'open', 'high', 'low', 'close', 'volume']]
dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
if self.has_BTC_info_tf:
btc_info_tf = self.dp.get_pair_dataframe("BTC/USDT", self.info_timeframe)
btc_info_tf = self.info_tf_btc_indicators(btc_info_tf, metadata)
dataframe = merge_informative_pair(dataframe, btc_info_tf, self.timeframe, self.info_timeframe, ffill=True)
drop_columns = [(s + "_" + self.info_timeframe) for s in ['date', 'open', 'high', 'low', 'close', 'volume']]
dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
'''
--> Informative timeframe
___________________________________________________________________________________________
'''
if self.info_timeframe != 'none':
informative_1h = self.informative_1h_indicators(dataframe, metadata)
dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.info_timeframe, ffill=True)
drop_columns = [(s + "_" + self.info_timeframe) for s in ['date']]
dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
'''
--> Resampled to another timeframe
___________________________________________________________________________________________
'''
if self.res_timeframe != 'none':
resampled = resample_to_interval(dataframe, timeframe_to_minutes(self.res_timeframe))
resampled = self.resampled_tf_indicators(resampled, metadata)
# Merge resampled info dataframe
dataframe = resampled_merge(dataframe, resampled, fill_na=True)
dataframe.rename(columns=lambda s: s+"_{}".format(self.res_timeframe) if "resample_" in s else s, inplace=True)
dataframe.rename(columns=lambda s: s.replace("resample_{}_".format(self.res_timeframe.replace("m","")), ""), inplace=True)
drop_columns = [(s + "_" + self.res_timeframe) for s in ['date']]
dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
'''
--> The indicators for the normal (5m) timeframe
___________________________________________________________________________________________
'''
dataframe = self.normal_tf_indicators(dataframe, metadata)
return dataframe
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
conditions = []
buy_protection_list = []
# Protections [STANDARD] - Common to every condition
for index in self.buy_protection_params:
item_buy_protection_list = [True]
global_buy_protection_params = self.buy_protection_params[index]
if global_buy_protection_params["ema_fast"].value:
item_buy_protection_list.append(dataframe[f"ema_{global_buy_protection_params['ema_fast_len'].value}"] > dataframe['ema_200'])
if global_buy_protection_params["ema_slow"].value:
item_buy_protection_list.append(dataframe[f"ema_{global_buy_protection_params['ema_slow_len'].value}_1h"] > dataframe['ema_200_1h'])
if global_buy_protection_params["close_above_ema_fast"].value:
item_buy_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_fast_len'].value}"])
if global_buy_protection_params["close_above_ema_slow"].value:
item_buy_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_slow_len'].value}_1h"])
if global_buy_protection_params["sma200_rising"].value:
item_buy_protection_list.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(global_buy_protection_params['sma200_rising_val'].value)))
if global_buy_protection_params["sma200_1h_rising"].value:
item_buy_protection_list.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(global_buy_protection_params['sma200_1h_rising_val'].value)))
if global_buy_protection_params["safe_dips"].value:
item_buy_protection_list.append(dataframe[f"safe_dips_{global_buy_protection_params['safe_dips_type'].value}"])
if global_buy_protection_params["safe_pump"].value:
item_buy_protection_list.append(dataframe[f"safe_pump_{global_buy_protection_params['safe_pump_period'].value}_{global_buy_protection_params['safe_pump_type'].value}_1h"])
if global_buy_protection_params['btc_1h_not_downtrend'].value:
item_buy_protection_list.append(dataframe['btc_not_downtrend_1h'])
buy_protection_list.append(item_buy_protection_list)
# Buy Condition #1
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_1_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[0]))
item_buy_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_1.value)
item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_1.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_1.value)
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_1.value)
item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_1.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #2
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_2_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[1]))
item_buy_logic.append(dataframe['rsi'] < dataframe['rsi_1h'] - self.buy_rsi_1h_diff_2.value)
item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_2.value)
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_2.value))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #3
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_3_enable']:
# Non-Standard protections (add below)
buy_protection_list[2].append(dataframe['close'] > (dataframe['ema_200_1h'] * self.buy_ema_rel_3.value))
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[2]))
item_buy_logic.append(dataframe['bb40_2_low'].shift().gt(0))
item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * self.buy_bb40_bbdelta_close_3.value))
item_buy_logic.append(dataframe['closedelta'].gt(dataframe['close'] * self.buy_bb40_closedelta_close_3.value))
item_buy_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * self.buy_bb40_tail_bbdelta_3.value))
item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift()))
item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift()))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #4
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_4_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[3]))
item_buy_logic.append(dataframe['close'] < dataframe['ema_50'])
item_buy_logic.append(dataframe['close'] < self.buy_bb20_close_bblowerband_4.value * dataframe['bb20_2_low'])
item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_30'].shift(1) * self.buy_bb20_volume_4.value))
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #5
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_5_enable']:
# Non-Standard protections (add below)
buy_protection_list[4].append(dataframe['close'] > (dataframe['ema_200_1h'] * self.buy_ema_rel_5.value))
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[4]))
item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_5.value))
item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_5.value))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #6
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_6_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[5]))
item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_6.value))
item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_6.value))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #7
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_7_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[6]))
item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_7.value))
item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_7.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #8
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_8_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[7]))
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_8.value)
item_buy_logic.append(dataframe['volume'] > (dataframe['volume'].shift(1) * self.buy_volume_8.value))
item_buy_logic.append(dataframe['close'] > dataframe['open'])
item_buy_logic.append((dataframe['close'] - dataframe['low']) > ((dataframe['close'] - dataframe['open']) * self.buy_tail_diff_8.value))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #9
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_9_enable']:
# Non-Standard protections (add below)
buy_protection_list[8].append(dataframe['ema_50'] > dataframe['ema_200'])
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[8]))
item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_9.value)
item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.buy_bb_offset_9.value)
item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_9.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_9.value)
item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_9.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #10
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_10_enable']:
# Non-Standard protections (add below)
buy_protection_list[9].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h'])
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[9]))
item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_10.value)
item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.buy_bb_offset_10.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_10.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #11
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_11_enable']:
# Non-Standard protections (add below)
buy_protection_list[10].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h'])
buy_protection_list[10].append(dataframe['safe_pump_36_50_1h'])
buy_protection_list[10].append(dataframe['safe_pump_48_100_1h'])
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[10]))
item_buy_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_11.value)
item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_11.value)
item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_11.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_11.value)
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_11.value)
item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_11.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #12
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_12_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[11]))
item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_12.value)
item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_12.value)
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_12.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #13
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_13_enable']:
# Non-Standard protections (add below)
buy_protection_list[12].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h'])
# buy_13_protections.append(dataframe['safe_pump_36_loose_1h'])
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[12]))
item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_13.value)
item_buy_logic.append(dataframe['ewo'] < self.buy_ewo_13.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #14
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_14_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[13]))
item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_14.value))
item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_14.value))
item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_14.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #15
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_15_enable']:
# Non-Standard protections (add below)
buy_protection_list[14].append(dataframe['close'] > dataframe['ema_200_1h'] * self.buy_ema_rel_15.value)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[14]))
item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_15.value))
item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_15.value)
item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_15.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #16
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_16_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[15]))
item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_16.value)
item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_16.value)
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_16.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #17
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_17_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[16]))
item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_17.value)
item_buy_logic.append(dataframe['ewo'] < self.buy_ewo_17.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #18
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_18_enable']:
# Non-Standard protections (add below)
# buy_18_protections.append(dataframe['ema_100'] > dataframe['ema_200'])
buy_protection_list[17].append(dataframe['sma_200'] > dataframe['sma_200'].shift(20))
buy_protection_list[17].append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(36))
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[17]))
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_18.value)
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_18.value))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #19
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_19_enable']:
# Non-Standard protections (add below)
buy_protection_list[18].append(dataframe['ema_50_1h'] > dataframe['ema_200_1h'])
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[18]))
item_buy_logic.append(dataframe['close'].shift(1) > dataframe['ema_100_1h'])
item_buy_logic.append(dataframe['low'] < dataframe['ema_100_1h'])
item_buy_logic.append(dataframe['close'] > dataframe['ema_100_1h'])
item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_19.value)
item_buy_logic.append(dataframe['chop'] < self.buy_chop_min_19.value)
item_buy_logic.append(dataframe['moderi_64'] == True)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #20
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_20_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[19]))
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_20.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_20.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #21
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_21_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[20]))
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_21.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_21.value)
item_buy_logic.append(dataframe['cti'] < self.buy_cti_21.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #22
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_22_enable']:
# Non-Standard protections (add below)
buy_protection_list[21].append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12))
buy_protection_list[21].append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36))
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[21]))
item_buy_logic.append((dataframe['volume_mean_4'] * self.buy_volume_22.value) > dataframe['volume'])
item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_22.value)
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_22.value))
item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_22.value)
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_22.value)
item_buy_logic.append(dataframe['safe_dump_20_1h'])
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #23
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_23_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[22]))
item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_23.value))
item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_23.value)
item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_23.value)
item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_23.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #24
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_24_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[23]))
item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12))
item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12))
item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h'])
item_buy_logic.append(dataframe['cmf_1h'].shift(12) < 0)
item_buy_logic.append(dataframe['cmf_1h'] > 0)
item_buy_logic.append(dataframe['rsi'] < self.buy_24_rsi_max.value)
item_buy_logic.append(dataframe['rsi_1h'] > self.buy_24_rsi_1h_min.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #25
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_25_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[24]))
item_buy_logic.append(dataframe['rsi_20'] < dataframe['rsi_20'].shift())
item_buy_logic.append(dataframe['rsi_4'] < self.buy_25_rsi_14.value)
item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_26_1h'])
item_buy_logic.append(dataframe['close'] < (dataframe['sma_20'] * self.buy_25_ma_offset.value))
item_buy_logic.append(dataframe['open'] > (dataframe['sma_20'] * self.buy_25_ma_offset.value))
item_buy_logic.append(
(dataframe['open'] < dataframe['ema_20_1h']) & (dataframe['low'] < dataframe['ema_20_1h']) |
(dataframe['open'] > dataframe['ema_20_1h']) & (dataframe['low'] > dataframe['ema_20_1h'])
)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #26
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_26_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[25]))
item_buy_logic.append(dataframe['close'] < (dataframe['zema'] * self.buy_26_zema_low_offset.value))
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #27
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_27_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[26]))
item_buy_logic.append(dataframe['r_480'] < -self.buy_27_wr_max.value)
item_buy_logic.append(dataframe['r_480_1h'] < -self.buy_27_wr_1h_max.value)
item_buy_logic.append(dataframe['rsi_1h'] + dataframe['rsi'] < self.buy_27_rsi_max.value)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #28
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_28_enable']:
# Non-Standard protections (add below)
# Logic
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[27]))
item_buy_logic.append(dataframe['moderi_64'] == True)
item_buy_logic.append(dataframe['close'] < dataframe['hull_75'] * 0.92)
item_buy_logic.append(dataframe['ewo'] > 12.4)
item_buy_logic.append(dataframe['rsi'] < 38.0)
item_buy_logic.append(dataframe['cti'] < -0.6)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #29
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_29_enable']:
# Non-Standard protections (add below)
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[28]))
item_buy_logic.append(dataframe['moderi_64'] == True)
item_buy_logic.append(dataframe['close'] < dataframe['hull_75'] * 0.9)
item_buy_logic.append(dataframe['ewo'] < -4.0)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #30
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_30_enable']:
# Non-Standard protections (add below)
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[29]))
item_buy_logic.append(dataframe['moderi_64'] == False)
item_buy_logic.append(dataframe['close'] < dataframe['zlema_68'] * 0.97)
item_buy_logic.append(dataframe['ewo'] > 9.0)
item_buy_logic.append(dataframe['rsi'] < 42.0)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
# Buy Condition #31
# -----------------------------------------------------------------------------------------
if self.buy_params['buy_condition_31_enable']:
# Non-Standard protections (add below)
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[30]))
item_buy_logic.append(dataframe['moderi_64'] == False)
item_buy_logic.append(dataframe['close'] < dataframe['zlema_68'] * 0.94)
item_buy_logic.append(dataframe['ewo'] < -19.0)
item_buy_logic.append(dataframe['r_480'] < -99.0)
item_buy_logic.append(dataframe['volume'] > 0)
conditions.append(reduce(lambda x, y: x & y, item_buy_logic))
if conditions:
dataframe.loc[
reduce(lambda x, y: x | y, conditions),
'buy'
] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[:,"sell"] = 0
return dataframe
def confirm_trade_exit(self, pair: str, trade: "Trade", order_type: str, amount: float,
rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
"""
Called right before placing a regular sell order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be sold.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param sell_reason: Sell reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'sell_signal', 'force_sell', 'emergency_sell']
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the sell-order is placed on the exchange.
False aborts the process
"""
# Just to be sure our hold data is loaded, should be a no-op call after the first bot loop
self.load_hold_trades_config()
if not self.hold_trade_ids:
# We have no pairs we want to hold until profit, sell
return True
if trade.id not in self.hold_trade_ids:
# This pair is not on the list to hold until profit, sell
return True
if trade.calc_profit_ratio(rate) >= self.hold_trade_ids_profit_ratio:
# This pair is on the list to hold, and we reached minimum profit, sell
return True
# This pair is on the list to hold, and we haven't reached minimum profit, hold
return False
# Elliot Wave Oscillator
def ewo(dataframe, sma1_length=5, sma2_length=35):
df = dataframe.copy()
sma1 = ta.EMA(df, timeperiod=sma1_length)
sma2 = ta.EMA(df, timeperiod=sma2_length)
smadif = (sma1 - sma2) / df['close'] * 100
return smadif
# Chaikin Money Flow
def chaikin_money_flow(dataframe, n=20, fillna=False) -> Series:
"""Chaikin Money Flow (CMF)
It measures the amount of Money Flow Volume over a specific period.
http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf
Args:
dataframe(pandas.Dataframe): dataframe containing ohlcv
n(int): n period.
fillna(bool): if True, fill nan values.
Returns:
pandas.Series: New feature generated.
"""
df = dataframe.copy()
mfv = ((df['close'] - df['low']) - (df['high'] - df['close'])) / (df['high'] - df['low'])
mfv = mfv.fillna(0.0) # float division by zero
mfv *= df['volume']
cmf = (mfv.rolling(n, min_periods=0).sum()
/ df['volume'].rolling(n, min_periods=0).sum())
if fillna:
cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0)
return Series(cmf, name='cmf')
def tsi(dataframe: DataFrame, window_slow: int, window_fast: int, fillna=False) -> Series:
"""
Indicator: True Strength Index (TSI)
:param dataframe: DataFrame The original OHLC dataframe
:param window_slow: slow smoothing period
:param window_fast: fast smoothing period
:param fillna: If True fill NaN values
"""
df = dataframe.copy()
min_periods_slow = 0 if fillna else window_slow
min_periods_fast = 0 if fillna else window_fast
close_diff = df['close'].diff()
close_diff_abs = close_diff.abs()
smooth_close_diff = close_diff.ewm(span=window_slow, min_periods=min_periods_slow, adjust=False).mean().ewm(span=window_fast, min_periods=min_periods_fast, adjust=False).mean()
smooth_close_diff_abs = close_diff_abs.ewm(span=window_slow, min_periods=min_periods_slow, adjust=False).mean().ewm(span=window_fast, min_periods=min_periods_fast, adjust=False).mean()
tsi = smooth_close_diff / smooth_close_diff_abs * 100
if fillna:
tsi = tsi.replace([np.inf, -np.inf], np.nan).fillna(0)
return tsi
# Williams %R
def williams_r(dataframe: DataFrame, period: int = 14) -> Series:
"""Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low
of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams.
Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between,
of its recent trading range.
The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest).
"""
highest_high = dataframe["high"].rolling(center=False, window=period).max()
lowest_low = dataframe["low"].rolling(center=False, window=period).min()
WR = Series(
(highest_high - dataframe["close"]) / (highest_high - lowest_low),
name="{0} Williams %R".format(period),
)
return WR * -100
# Volume Weighted Moving Average
def vwma(dataframe: DataFrame, length: int = 10):
"""Indicator: Volume Weighted Moving Average (VWMA)"""
# Calculate Result
pv = dataframe['close'] * dataframe['volume']
vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length))
return vwma
# Modified Elder Ray Index
def moderi(dataframe: DataFrame, len_slow_ma: int = 32) -> Series:
slow_ma = Series(ta.EMA(vwma(dataframe, length=len_slow_ma), timeperiod=len_slow_ma))
return slow_ma >= slow_ma.shift(1) # we just need true & false for ERI trend
# zlema
def zlema(dataframe, timeperiod):
lag = int(math.floor((timeperiod - 1) / 2) )
if isinstance(dataframe, Series):
ema_data = dataframe + (dataframe - dataframe.shift(lag))
else:
ema_data = dataframe['close'] + (dataframe['close'] - dataframe['close'] .shift(lag))
return ta.EMA(ema_data, timeperiod = timeperiod)
# zlhull
def zlhull(dataframe, timeperiod):
lag = int(math.floor((timeperiod - 1) / 2) )
if isinstance(dataframe, Series):
wma_data = dataframe + (dataframe - dataframe.shift(lag))
else:
wma_data = dataframe['close'] + (dataframe['close'] - dataframe['close'] .shift(lag))
return ta.WMA(
2 * ta.WMA(wma_data, int(math.floor(timeperiod/2))) - ta.WMA(wma_data, timeperiod), int(round(np.sqrt(timeperiod)))
)
# hull
def hull(dataframe, timeperiod):
if isinstance(dataframe, Series):
return ta.WMA(
2 * ta.WMA(dataframe, int(math.floor(timeperiod/2))) - ta.WMA(dataframe, timeperiod), int(round(np.sqrt(timeperiod)))
)
else:
return ta.WMA(
2 * ta.WMA(dataframe['close'], int(math.floor(timeperiod/2))) - ta.WMA(dataframe['close'], timeperiod), int(round(np.sqrt(timeperiod)))
)
#Kalman Filter
def KalmanFilter(dtloc, source = 'close'):
dtKF = dtloc.copy().fillna(0)
dtKF['TRANGE'] = ta.TRANGE(dtloc).fillna(0)
def calc_dtKF(dfr, init=0):
global calc_dtKF_value_1
global calc_dtKF_value_2
global calc_dtKF_value_3
global calc_dtKF_source
if init == 1:
calc_dtKF_value_1 = 0.0
calc_dtKF_value_2 = 0.0
calc_dtKF_value_3 = 0.0
calc_dtKF_source = 0.0
return
calc_dtKF_value_1 = 0.2 * (dfr[source] - calc_dtKF_source) + 0.8 * calc_dtKF_value_1
calc_dtKF_value_2 = 0.1 * dfr['TRANGE'] + 0.8 * calc_dtKF_value_2
if calc_dtKF_value_2 != 0:
vlambda = abs(calc_dtKF_value_1/calc_dtKF_value_2)
else:
vlambda = 0
valpha = (-1*math.pow(vlambda,2) + math.sqrt(math.pow(vlambda,4) + 16 * math.pow(vlambda,2)))/8
calc_dtKF_value_3 = valpha * dfr[source] + (1 - valpha) * calc_dtKF_value_3
calc_dtKF_source = dfr[source]
return calc_dtKF_value_3
calc_dtKF(None, init=1)
dtKF['KF'] = dtKF.apply(calc_dtKF, axis = 1)
return dtKF['KF']