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The EMAPriceCrossoverWithTreshold strategy is designed to backtest a trading strategy that involves using exponential moving averages (EMAs) and a threshold value. Here's a breakdown of what the strategy does:
The strategy sets a minimal ROI (Return on Investment) for the trades. The values are defined in the minimal_roi attribute but can be overridden in the configuration file.
The stoploss value is set to -0.15, indicating a maximum loss tolerance of 15%.
The strategy operates on a 1-hour timeframe, meaning it analyzes and makes decisions based on hourly price data.
The populate_indicators function calculates the EMA with a time period of 800 and stores it in the ema800 column of the DataFrame. It also calculates an EMA threshold value based on the ema800 and a threshold percentage. The populate_buy_trend function identifies buying opportunities by checking if the close price crosses above the ema800 and if the volume for that candle is greater than zero. The populate_sell_trend function identifies selling opportunities by checking if the close price crosses below the EMA threshold. By using these indicators and conditions, the strategy aims to generate buy signals when the price crosses above the EMA and sell signals when the price crosses below the EMA threshold. The strategy also includes a trailing stoploss feature to manage risk.
The stoploss value is set to -0.15, indicating a maximum loss tolerance of 15%.
The strategy operates on a 1-hour timeframe, meaning it analyzes and makes decisions based on hourly price data.
The populate_indicators function calculates the EMA with a time period of 800 and stores it in the ema800 column of the DataFrame. It also calculates an EMA threshold value based on the ema800 and a threshold percentage. The populate_buy_trend function identifies buying opportunities by checking if the close price crosses above the ema800 and if the volume for that candle is greater than zero. The populate_sell_trend function identifies selling opportunities by checking if the close price crosses below the EMA threshold. By using these indicators and conditions, the strategy aims to generate buy signals when the price crosses above the EMA and sell signals when the price crosses below the EMA threshold. The strategy also includes a trailing stoploss feature to manage risk.
stoploss: -0.15 timeframe: 1h hash(sha256): a1deeaf58dd4c694260ede286c60b1c232781d1d3d555358aa701cfe3b7ae1fc indicators: ema_threshold close volume ema800
No similar strategies found. (based on used indicators)
last change: 2023-10-04 09:36:50