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The "AdxSmas" strategy is designed to backtest trading strategies based on the Average Directional Index (ADX) and Simple Moving Averages (SMA) indicators. It uses a 1-hour timeframe for analysis. The strategy calculates the ADX, which measures the strength of a trend, and the short-term and long-term SMAs.
It uses these indicators to generate buy and sell signals.
In the "populate_indicators" method, the ADX, short-term SMA, and long-term SMA are calculated and added to the dataframe.
The "populate_buy_trend" method generates a buy signal when the ADX is greater than 25 and the short-term SMA crosses above the long-term SMA. The "populate_sell_trend" method generates a sell signal when the ADX is less than 25 and the long-term SMA crosses above the short-term SMA. The strategy has a minimal return on investment (ROI) of 0.1 and a stop loss of -0.25. Note: The code provided is a Python script using the Freqtrade library for backtesting.
It uses these indicators to generate buy and sell signals.
In the "populate_indicators" method, the ADX, short-term SMA, and long-term SMA are calculated and added to the dataframe.
The "populate_buy_trend" method generates a buy signal when the ADX is greater than 25 and the short-term SMA crosses above the long-term SMA. The "populate_sell_trend" method generates a sell signal when the ADX is less than 25 and the long-term SMA crosses above the short-term SMA. The strategy has a minimal return on investment (ROI) of 0.1 and a stop loss of -0.25. Note: The code provided is a Python script using the Freqtrade library for backtesting.
stoploss: -0.25 timeframe: 1h hash(sha256): 4f38329cd57073cce9ac67a0e05f7169eb075cab83dbb6b965284c14529c8357
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last change: 2022-07-02 19:54:08