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The strategy implemented in this code is called "SMAOffsetProtectOptV1." It is a backtesting strategy used for trading. Here is a brief description of what the strategy does:
The strategy uses two types of indicators: Simple Moving Average (SMA) and Elliott Wave Oscillator (EWO). It sets certain parameters for buying and selling decisions, such as the number of candles to consider for SMA calculation, offsets for determining buy and sell prices, and thresholds for EWO and RSI (Relative Strength Index) values.
The strategy calculates SMA values for different periods and EWO values based on the given parameters.
For the buy trend, there are two main conditions: a.
The close price is below the SMA multiplied by the low offset, and EWO is above a certain high threshold, and RSI is below a specified value. b. The close price is below the SMA multiplied by the low offset, and EWO is below a certain low threshold. For the sell trend, the condition is that the close price is above the SMA multiplied by the high offset. The strategy also includes additional features such as trailing stop, sell signal, stop loss, and ROI (Return on Investment) table. The strategy operates on the 5-minute timeframe and uses an informative timeframe of 1 hour. The strategy applies to a whitelist of trading pairs. The strategy utilizes pandas, talib, and freqtrade libraries for technical analysis, data manipulation, and backtesting functionality. Please note that this is just a summary of the strategy based on the provided code. Further details and customization can be found within the code itself.
The strategy calculates SMA values for different periods and EWO values based on the given parameters.
For the buy trend, there are two main conditions: a.
The close price is below the SMA multiplied by the low offset, and EWO is above a certain high threshold, and RSI is below a specified value. b. The close price is below the SMA multiplied by the low offset, and EWO is below a certain low threshold. For the sell trend, the condition is that the close price is above the SMA multiplied by the high offset. The strategy also includes additional features such as trailing stop, sell signal, stop loss, and ROI (Return on Investment) table. The strategy operates on the 5-minute timeframe and uses an informative timeframe of 1 hour. The strategy applies to a whitelist of trading pairs. The strategy utilizes pandas, talib, and freqtrade libraries for technical analysis, data manipulation, and backtesting functionality. Please note that this is just a summary of the strategy based on the provided code. Further details and customization can be found within the code itself.
startup_candle_count : 30 Recursive Analysis found no issues while using 30 startup_candle_count
stoploss: -0.5 timeframe: 5m hash(sha256): 85f9c4e14ffa9994154285a9ca5876da4e6a7f0030dee59e76d9f59e51f31cfd indicators: rsi_buy ma_sell_val volume EWO ewo_high low_offset close ewo_low rsi high_offset base_nb_candles_sell base_nb_candles_buy ma_buy_val
No similar strategies found. (based on used indicators)
last change: 2023-11-02 22:00:52