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The SMAOffsetOptV1 strategy is a trading strategy implemented in Python. It is designed to be used for backtesting on a trading platform. Here's a short description of what the strategy does:
The strategy uses two types of moving averages, Simple Moving Average (SMA) and Exponential Moving Average (EMA).
It has parameters for buying and selling, which can be optimized using hyperopt.
For buying, it uses a base number of candles (34 by default) and a low offset (0.9 by default) to calculate a moving average value.
If the current candle's close price crosses above this moving average and the volume is positive, a buy signal is generated. For selling, it uses a base number of candles (30 by default) and a high offset (1.012 by default) to calculate a moving average value. If the current candle's close price crosses below this moving average and the volume is positive, a sell signal is generated. The strategy includes a stoploss parameter (-0.5 by default) to limit losses. It has a predefined ROI (Return on Investment) table, indicating the desired profit percentages at different time intervals. The strategy supports a trailing stop feature, where the stop-loss level is adjusted as the price moves in a favorable direction. The optimal timeframe for the strategy is set to 5 minutes. It includes custom plot configurations to visualize the strategy's signals. Please note that this is a simplified summary of the strategy. The actual implementation and functionality may be more complex, considering the usage of various libraries, parameters, and technical indicators.
It has parameters for buying and selling, which can be optimized using hyperopt.
For buying, it uses a base number of candles (34 by default) and a low offset (0.9 by default) to calculate a moving average value.
If the current candle's close price crosses above this moving average and the volume is positive, a buy signal is generated. For selling, it uses a base number of candles (30 by default) and a high offset (1.012 by default) to calculate a moving average value. If the current candle's close price crosses below this moving average and the volume is positive, a sell signal is generated. The strategy includes a stoploss parameter (-0.5 by default) to limit losses. It has a predefined ROI (Return on Investment) table, indicating the desired profit percentages at different time intervals. The strategy supports a trailing stop feature, where the stop-loss level is adjusted as the price moves in a favorable direction. The optimal timeframe for the strategy is set to 5 minutes. It includes custom plot configurations to visualize the strategy's signals. Please note that this is a simplified summary of the strategy. The actual implementation and functionality may be more complex, considering the usage of various libraries, parameters, and technical indicators.
startup_candle_count : 50 ma_offset_sell: -0.007%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: 0 timeframe: 5m hash(sha256): 4a5ccfeebd1645a6dd34be24d842b7e91cdf94e835a17715fd9c0c4a23d21d64 indicators: volume low_offset ma_offset_sell close sell_trigger ma_offset_buy high_offset buy_trigger base_nb_candles_sell runmode base_nb_candles_buy
No similar strategies found. (based on used indicators)
last change: 2024-08-02 08:10:15