Timeframe
5m
Direction
Long Only
Stoploss
-34.5%
Trailing Stop
Yes
ROI
0m: 20.2%, 30m: 7.4%, 67m: 2.1%, 181m: 0.0%
Interface Version
N/A
Startup Candles
50
Indicators
1
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
import talib.abstract as ta
import pandas as pd
from freqtrade.strategy import IStrategy, IntParameter
class AggressiveRSIStrategy(IStrategy):
minimal_roi = {
"0": 0.202,
"30": 0.074,
"67": 0.021,
"181": 0
}
stoploss = -0.345
timeframe = '5m'
# Optimized hyperopt parameters
buy_rsi = IntParameter(40, 40, default=40, space='buy', optimize=False)
sell_rsi = IntParameter(89, 89, default=89, space='sell', optimize=False)
trailing_stop = True
trailing_stop_positive = 0.346
trailing_stop_positive_offset = 0.418
trailing_only_offset_is_reached = False
process_only_new_candles = True
startup_candle_count = 50
def populate_indicators(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
dataframe['rsi'] = ta.RSI(dataframe['close'], timeperiod=14)
return dataframe
def populate_buy_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
dataframe.loc[
(dataframe['rsi'] < self.buy_rsi.value),
'buy'
] = 1
return dataframe
def populate_sell_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
dataframe.loc[
(dataframe['rsi'] > self.sell_rsi.value),
'sell'
] = 1
return dataframe