Timeframe
1h
Direction
Long Only
Stoploss
-5.0%
Trailing Stop
No
ROI
0m: 10.0%, 60m: 5.0%, 120m: 0.0%
Interface Version
N/A
Startup Candles
N/A
Indicators
1
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
# Source: generated from predefined_indicators.json
from freqtrade.strategy import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
class BBANDS_standard(IStrategy):
timeframe = '1h'
# Standard ROI and Stoploss
minimal_roi = {"0": 0.1, "60": 0.05, "120": 0.0}
stoploss = -0.05
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
bbands = ta.BBANDS(dataframe, timeperiod=20, nbdevup=2.0, nbdevdn=2.0)
dataframe['upperband'] = bbands['upperband']
dataframe['middleband'] = bbands['middleband']
dataframe['lowerband'] = bbands['lowerband']
return dataframe
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe['close'] < dataframe['lowerband'] * 1.02),
'enter_long'] = 1
return dataframe
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe['close'] > dataframe['upperband'] * 0.98),
'exit_long'] = 1
return dataframe