The SmoothOperator strategy is designed for backtesting trading strategies. Here's a short description of what the strategy does:
The strategy first populates various technical indicators for the given financial data, such as CCI (Commodity Channel Index), RSI (Relative Strength Index), ADX (Average Directional Index), MFI (Money Flow Index), and Bollinger Bands. Next, it calculates smoothed versions of some indicators using exponential moving averages (EMA) and simple moving averages (SMA).
The strategy then applies certain conditions to determine buy and sell signals.
The buy conditions include a sequence of five increasing average values, the current low price being below the middle Bollinger Band, CCI below -100, and RSI below 30.
Additionally, it checks for a low price below the middle Bollinger Band, CCI below -200, RSI below 30, and MFI below 30. There is also a condition for low MFI, low CCI, and RSI lower than MFI. The sell conditions consist of a high value for the smoothed indicator 'mfi_rsi_cci_smooth' compared to its previous value, followed by two decreasing values. Another condition involves detecting eight consecutive green candles. Lastly, it checks for CCI above 200 and RSI above 70. Once the buy and sell signals are determined, the strategy marks the corresponding rows in the dataframe with '1' to indicate the signal. The strategy is accompanied by a StrategyHelper class that provides additional functions used within the strategy. Please note that this is a high-level summary of the strategy, and the specific details of the indicators and conditions may require further analysis for a complete understanding.
The strategy then applies certain conditions to determine buy and sell signals.
The buy conditions include a sequence of five increasing average values, the current low price being below the middle Bollinger Band, CCI below -100, and RSI below 30.
Additionally, it checks for a low price below the middle Bollinger Band, CCI below -200, RSI below 30, and MFI below 30. There is also a condition for low MFI, low CCI, and RSI lower than MFI. The sell conditions consist of a high value for the smoothed indicator 'mfi_rsi_cci_smooth' compared to its previous value, followed by two decreasing values. Another condition involves detecting eight consecutive green candles. Lastly, it checks for CCI above 200 and RSI above 70. Once the buy and sell signals are determined, the strategy marks the corresponding rows in the dataframe with '1' to indicate the signal. The strategy is accompanied by a StrategyHelper class that provides additional functions used within the strategy. Please note that this is a high-level summary of the strategy, and the specific details of the indicators and conditions may require further analysis for a complete understanding.
stoploss: -0.05 timeframe: 5m hash(sha256): f6212a19e938c82d5dc1caf7a667b65a6505f70f8101483a774cb4b1d0c3725c indicators: mfi_rsi_cci_smooth mfi_smooth upper close entry_bb_middleband mfi bb_lowerband macdhist bsharp_medium entry_bb_upperband bsharp sma_slow average date sma_fast open bsharp_slow entry_bb_lowerband high macdsignal cci_smooth mid rsi_smooth cci sma_medium macd bsharp_fast open high low close candle_size adx lower bpercent bb_middleband rsi bb_upperband low resample_sma
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last change: 2024-04-28 16:30:31