Timeframe
5m
Direction
Long Only
Stoploss
-5.0%
Trailing Stop
No
ROI
0m: 10.0%, 240m: 5.0%
Interface Version
N/A
Startup Candles
20
Indicators
4
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
"""Strategy: Heikin Ashi Trend Strategy"""
import talib.abstract as ta
from freqtrade.strategy import IStrategy
from pandas import DataFrame
class HeikinAshiStrategy(IStrategy):
timeframe = "5m"
minimal_roi = {"0": 0.10, "240": 0.05}
stoploss = -0.05
startup_candle_count = 20
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe["ha_close"] = (dataframe["open"] + dataframe["high"] + dataframe["low"] + dataframe["close"]) / 4
dataframe["ha_open"] = (dataframe["open"].shift(1) + dataframe["close"].shift(1)) / 2
dataframe["ha_bullish"] = (dataframe["ha_close"] > dataframe["ha_open"]).astype(int)
dataframe["ha_bullish_prev"] = dataframe["ha_bullish"].shift(1)
dataframe["ha_bullish_prev2"] = dataframe["ha_bullish"].shift(2)
dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
dataframe["ema50"] = ta.EMA(dataframe, timeperiod=50)
dataframe["adx"] = ta.ADX(dataframe, timeperiod=14)
return dataframe
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe["ha_bullish"] == 1)
& (dataframe["ha_bullish_prev"] == 1)
& (dataframe["ha_bullish_prev2"] == 0)
& (dataframe["close"] > dataframe["ema50"])
& (dataframe["adx"] > 20)
& (dataframe["rsi"] < 68)
& (dataframe["volume"] > 0),
"enter_long",
] = 1
return dataframe
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(dataframe["ha_bullish"] == 0) & (dataframe["ha_bullish_prev"] == 0),
"exit_long",
] = 1
return dataframe