Timeframe
N/A
Direction
Long Only
Stoploss
-1.0%
Trailing Stop
Yes
ROI
0m: 5.0%
Interface Version
N/A
Startup Candles
N/A
Indicators
0
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
import talib.abstract as ta
class JustROCR6(IStrategy):
minimal_roi = {
"0": 0.05
}
stoploss = -0.01
trailing_stop = True
ticker_interval = '1m'
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe['rocr_499'] = ta.ROCR(dataframe, timeperiod=499)
dataframe['rocr_200'] = ta.ROCR(dataframe, timeperiod=200)
dataframe['rocr_100'] = ta.ROCR(dataframe, timeperiod=100)
dataframe['rocr_50'] = ta.ROCR(dataframe, timeperiod=50)
dataframe['rocr_10'] = ta.ROCR(dataframe, timeperiod=10)
dataframe['rocr_5'] = ta.ROCR(dataframe, timeperiod=5)
dataframe['rocr_2'] = ta.ROCR(dataframe, timeperiod=2)
return dataframe
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(dataframe['rocr_499'] > 1.20) &
(dataframe['rocr_200'] > 1.15) &
(dataframe['rocr_100'] > 1.125) &
(dataframe['rocr_50'] > 1.10) &
(dataframe['rocr_10'] > 1.075) &
(dataframe['rocr_5'] > 1.05) &
(dataframe['rocr_2'] > 1.01)
),
'buy'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
),
'sell'] = 1
return dataframe