Timeframe
5m
Direction
Long Only
Stoploss
-30.6%
Trailing Stop
No
ROI
0m: 5.7%, 10m: 3.8%, 55m: 1.6%, 157m: 0.0%
Interface Version
2
Startup Candles
N/A
Indicators
5
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
import numpy as np
import pandas as pd
from freqtrade.strategy.interface import IStrategy
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
class HackerNoon(IStrategy):
INTERFACE_VERSION = 2
minimal_roi = {
"0": 0.05735,
"10": 0.03845,
"55": 0.01574,
"157": 0
}
stoploss = -0.30566
# timeframe = "5m"
# process_only_new_candles = False
# use_sell_signal = True
# sell_profit_only = False
# ignore_roi_if_buy_signal = False
# startup_candle_count: int = 20
def informative_pairs(self):
return []
def populate_indicators(self, dataframe, metadata):
stoch = ta.STOCH(dataframe)
rsi = ta.RSI(dataframe)
bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe))
dataframe["slowk"] = stoch["slowk"]
dataframe["rsi"] = rsi
rsi = 0.1 * (rsi - 50)
dataframe["fisher"] = (np.exp(2 * rsi) - 1) / (np.exp(2 * rsi) + 1)
dataframe["bb_lowerband"] = bollinger["lower"]
dataframe["sar"] = ta.SAR(dataframe)
dataframe["CDLHAMMER"] = ta.CDLHAMMER(dataframe)
return dataframe
def populate_buy_trend(self, dataframe, metadata):
dataframe.loc[
(
(dataframe["rsi"] < 20) &
(dataframe["bb_lowerband"] > dataframe["close"])
),
"buy"
] = 1
return dataframe
def populate_sell_trend(self, dataframe, metadata):
dataframe.loc[
(
# (dataframe["sar"] > -0.0.06414) &
(dataframe["fisher"] > -0.13955)
),
"sell"
] = 1
return dataframe