Timeframe
30m
Direction
Long Only
Stoploss
-23.5%
Trailing Stop
No
ROI
0m: 30.0%
Interface Version
N/A
Startup Candles
N/A
Indicators
2
# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
# --------------------------------
class bb_riding(IStrategy):
minimal_roi = {
"0": 0.3
}
stoploss = -0.235
timeframe = '30m'
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
boll = ta.BBANDS(dataframe, nbdevup=2.0, nbdevdn=2.0, timeperiod=20)
dataframe['bb_lower'] = boll['lowerband']
dataframe['bb_middle'] = boll['middleband']
dataframe['bb_upper'] = boll['upperband']
dataframe["bb_width"] = (
(dataframe["bb_upper"] - dataframe["bb_lower"]) / dataframe["bb_middle"]
)
macd = ta.MACD(dataframe)
dataframe['macd'] = macd['macd']
dataframe['macdsignal'] = macd['macdsignal']
dataframe['macdhist'] = macd['macdhist']
#print(metadata)
#print(dataframe[["date","close","bb_upper","bb_middle","bb_lower","bb_width"]].tail(25))
return dataframe
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(dataframe['close'] > dataframe['bb_upper'])
& (dataframe['bb_width'] > 0.02)
),
'buy'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(dataframe['macdsignal'] < 0)
),
'sell'] = 1
return dataframe