The strategy, "CombinedBinHAndClucV7_OPT," is designed to backtest trading strategies. Here is a brief description of what the strategy does:
The populate_indicators function takes a dataframe and metadata as input and populates the indicators for the strategy. It merges informative indicators from the 1-hour timeframe with the current timeframe using the merge_informative_pair function and fills missing values.
The populate_buy_trend function populates the buy signals for the strategy based on certain conditions.
It checks multiple conditions for each potential buy signal and appends them to the conditions list.
The conditions include comparisons between closing prices and exponential moving averages (EMA), dip thresholds, Bollinger Bands, relative strength index (RSI), and volume. If any of the conditions are met, the corresponding row in the dataframe is marked as a buy signal. The populate_sell_trend function populates the sell signals for the strategy based on certain conditions. It checks conditions related to the closing price, Bollinger Bands, RSI, and volume. If any of the conditions are met, the corresponding row in the dataframe is marked as a sell signal. Overall, the strategy combines various technical indicators and conditions to generate buy and sell signals for backtesting trading strategies.
The populate_buy_trend function populates the buy signals for the strategy based on certain conditions.
It checks multiple conditions for each potential buy signal and appends them to the conditions list.
The conditions include comparisons between closing prices and exponential moving averages (EMA), dip thresholds, Bollinger Bands, relative strength index (RSI), and volume. If any of the conditions are met, the corresponding row in the dataframe is marked as a buy signal. The populate_sell_trend function populates the sell signals for the strategy based on certain conditions. It checks conditions related to the closing price, Bollinger Bands, RSI, and volume. If any of the conditions are met, the corresponding row in the dataframe is marked as a sell signal. Overall, the strategy combines various technical indicators and conditions to generate buy and sell signals for backtesting trading strategies.
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): c8afc65118cec552ed12ed94df05939166fc2e51b319d02e09d53cfee5c5b25f indicators: sma_200_1h upper ema_200 ema_50 close sma_5 tail bb_lowerband mfi ema_200_1h bbdelta volume smaHigh ATR ssl_up closedelta sslDown open hlv volume_mean_slow ema_50_1h smaLow sma_200 high sslUp mid ssl_down_1h ssl_down rsi_1h lower bb_middleband rsi bb_upperband ema_slow low ssl_up_1h
Similar Strategies: (based on used indicators)
Strategy: 01_CombinedBinHAndClucV7_OPT_02, Similarity Score: 97.3%
Strategy: 04_CombinedBinHAndClucV8, Similarity Score: 97.3%
Strategy: CombinedBinHAndClucV7, Similarity Score: 97.3%
Strategy: CombinedBinHAndClucV7_702, Similarity Score: 97.3%
Strategy: CombinedBinHAndClucV8Hyper, Similarity Score: 97.3%
Strategy: CombinedBinHAndClucV8Hyper_2, Similarity Score: 97.3%
Strategy: CombinedBinHAndClucV8XH, Similarity Score: 97.3%
Strategy: CombinedBinHAndClucV8XHO, Similarity Score: 97.3%
Strategy: Discord_1_TEST, Similarity Score: 97.3%
Strategy: Discord_1_test, Similarity Score: 97.3%
Strategy: CombinedBinHClucAndSMAOffset, Similarity Score: 94.59%
Strategy: CombinedBinHClucAndSMAOffset_2, Similarity Score: 94.59%
Strategy: 02_CombinedBinHClucAndMADV5, Similarity Score: 89.19%
Strategy: CombinedBinHClucAndMADV5, Similarity Score: 89.19%
Strategy: CombinedBinHClucAndMADV5_2, Similarity Score: 89.19%
Strategy: Discord_Bzed, Similarity Score: 89.19%
Strategy: 08_NostalgiaForInfinityV2_OPT, Similarity Score: 86.49%
Strategy: 08_NostalgiaForInfinityV2_OPT_02, Similarity Score: 86.49%
Strategy: CombinedBinHAndClucV6, Similarity Score: 86.49%
Strategy: CombinedBinHAndClucV6_2, Similarity Score: 86.49%
Strategy: NostalgiaForInfinityV1, Similarity Score: 86.49%
Strategy: NostalgiaForInfinityV2, Similarity Score: 86.49%
Strategy: HybridMonster, Similarity Score: 83.78%
last change: 2024-07-27 14:31:24