Timeframe
5m
Direction
Long Only
Stoploss
-4.0%
Trailing Stop
No
ROI
0m: 8.0%, 120m: 4.0%
Interface Version
N/A
Startup Candles
25
Indicators
4
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
"""Strategy 6: CCI Mean Reversion"""
import talib.abstract as ta
from freqtrade.strategy import IStrategy
from pandas import DataFrame
class CciMeanReversionStrategy(IStrategy):
timeframe = "5m"
minimal_roi = {"0": 0.08, "120": 0.04}
stoploss = -0.04
startup_candle_count = 25
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe["cci"] = ta.CCI(dataframe, timeperiod=20)
dataframe["cci_prev"] = dataframe["cci"].shift(1)
dataframe["ema100"] = ta.EMA(dataframe, timeperiod=100)
dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
dataframe["atr"] = ta.ATR(dataframe, timeperiod=14)
return dataframe
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe["cci"] > -100) & (dataframe["cci_prev"] <= -100)
& (dataframe["close"] > dataframe["ema100"])
& (dataframe["rsi"] < 60)
& (dataframe["volume"] > 0),
"enter_long",
] = 1
return dataframe
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe["cci"] > 100) | (dataframe["rsi"] > 70),
"exit_long",
] = 1
return dataframe