You will be redirected to the original Strategy in 15 seconds.
The CombinedBinHClucAndMADV5 strategy combines multiple trading strategies and uses various indicators to generate buy and sell signals. Here is a brief description of what the strategy does:
populate_indicators function: This function populates the indicators used in the strategy. It merges informative data from a higher timeframe (informative_1h) with the current timeframe (dataframe).
It also applies other indicators specific to the timeframe.
populate_entry_trend function: This function determines the conditions for entering a trade (generating a buy signal).
It checks multiple conditions for different strategies: ClucMay72018 strategy: The close price should be above the 200-day exponential moving average (ema_200) and the 1-hour exponential moving average (ema_200_1h). It should be below a slower moving average (ema_slow) and 0.99 times the lower Bollinger Band (bb_lowerband). The volume should be lower than the previous slow volume multiplied by 21, and the current volume should be greater than 0. Another ClucMay72018 strategy: The close price should be below the slower moving average (ema_slow), 0.975 times the lower Bollinger Band (bb_lowerband). The volume should be lower than the previous slow volume multiplied by 20 and the current volume multiplied by 4. The 1-hour relative strength index (rsi_1h) should be below 15, and the current volume should be greater than 0. MACD Low buy strategy: The close price should be above the 200-day exponential moving average (ema_200) and the 1-hour exponential moving average (ema_200_1h). The MACD histogram should have a positive value and increase by at least 2% of the opening price. The volume should be lower than the previous volume multiplied by 4. The close price should be below the lower Bollinger Band (bb_lowerband), and the current volume should be greater than 0. Another MACD Low buy strategy: The MACD histogram conditions are similar to the previous strategy, but the percentage increase and volume conditions differ. Additional conditions for entering a trade: The close price should be below the 5-day simple moving average (sma_5). The SSL Up indicator from the 1-hour timeframe (ssl_up_1h) should be greater than the SSL Down indicator from the 1-hour timeframe (ssl_down_1h). The 50-day exponential moving average (ema_50) and the 200-day exponential moving average (ema_200) should both be increasing. The 1-hour RSI (rsi_1h) minus 43.276 should be greater than the current RSI (rsi). The current volume should be greater than 0. populate_exit_trend function: This function determines the conditions for exiting a trade (generating a sell signal). The close price should be above 1.01 times the middle Bollinger Band (bb_middleband). The current volume should be greater than 0. Overall, the strategy combines various technical indicators and conditions from different trading strategies to generate buy and sell signals for backtesting.
It also applies other indicators specific to the timeframe.
populate_entry_trend function: This function determines the conditions for entering a trade (generating a buy signal).
It checks multiple conditions for different strategies: ClucMay72018 strategy: The close price should be above the 200-day exponential moving average (ema_200) and the 1-hour exponential moving average (ema_200_1h). It should be below a slower moving average (ema_slow) and 0.99 times the lower Bollinger Band (bb_lowerband). The volume should be lower than the previous slow volume multiplied by 21, and the current volume should be greater than 0. Another ClucMay72018 strategy: The close price should be below the slower moving average (ema_slow), 0.975 times the lower Bollinger Band (bb_lowerband). The volume should be lower than the previous slow volume multiplied by 20 and the current volume multiplied by 4. The 1-hour relative strength index (rsi_1h) should be below 15, and the current volume should be greater than 0. MACD Low buy strategy: The close price should be above the 200-day exponential moving average (ema_200) and the 1-hour exponential moving average (ema_200_1h). The MACD histogram should have a positive value and increase by at least 2% of the opening price. The volume should be lower than the previous volume multiplied by 4. The close price should be below the lower Bollinger Band (bb_lowerband), and the current volume should be greater than 0. Another MACD Low buy strategy: The MACD histogram conditions are similar to the previous strategy, but the percentage increase and volume conditions differ. Additional conditions for entering a trade: The close price should be below the 5-day simple moving average (sma_5). The SSL Up indicator from the 1-hour timeframe (ssl_up_1h) should be greater than the SSL Down indicator from the 1-hour timeframe (ssl_down_1h). The 50-day exponential moving average (ema_50) and the 200-day exponential moving average (ema_200) should both be increasing. The 1-hour RSI (rsi_1h) minus 43.276 should be greater than the current RSI (rsi). The current volume should be greater than 0. populate_exit_trend function: This function determines the conditions for exiting a trade (generating a sell signal). The close price should be above 1.01 times the middle Bollinger Band (bb_middleband). The current volume should be greater than 0. Overall, the strategy combines various technical indicators and conditions from different trading strategies to generate buy and sell signals for backtesting.
stoploss: -0.99 timeframe: 5m hash(sha256): f2a87aaac88a6270c0b868e3f1ec443f38010ab5693bf5b93b3ad301ec3fb979 indicators: upper ema_200 ema_50 close sma_5 tail bb_lowerband ema_200_1h bbdelta volume smaHigh ATR ssl_up closedelta sslDown open hlv volume_mean_slow ema_50_1h smaLow high sslUp mid ssl_down_1h ssl_down rsi_1h lower ema_12 bb_middleband rsi bb_upperband ema_slow ema_26 low ssl_up_1h
Similar Strategies: (based on used indicators)
Strategy: 02_CombinedBinHClucAndMADV5, Similarity Score: 97.22%
Strategy: 04_CombinedBinHAndClucV8, Similarity Score: 97.22%
Strategy: CombinedBinHAndClucV8Hyper, Similarity Score: 97.22%
Strategy: CombinedBinHAndClucV8XH, Similarity Score: 97.22%
Strategy: CombinedBinHAndClucV8XHO, Similarity Score: 97.22%
Strategy: CombinedBinHClucAndMADV5, Similarity Score: 97.22%
Strategy: 01_CombinedBinHAndClucV7_OPT, Similarity Score: 91.67%
Strategy: 01_CombinedBinHAndClucV7_OPT_02, Similarity Score: 91.67%
Strategy: CombinedBinHAndClucV7, Similarity Score: 91.67%
Strategy: CombinedBinHAndClucV7_702, Similarity Score: 91.67%
Strategy: CombinedBinHClucAndSMAOffset, Similarity Score: 91.67%
Strategy: CombinedBinHClucAndSMAOffset_2, Similarity Score: 91.67%
Strategy: Discord_1_TEST, Similarity Score: 91.67%
Strategy: Discord_1_test, Similarity Score: 91.67%
Strategy: Discord_Bzed, Similarity Score: 91.67%
Strategy: 02_CombinedBinHClucAndMADV6, Similarity Score: 88.89%
Strategy: 08_NostalgiaForInfinityV2_OPT, Similarity Score: 88.89%
Strategy: 08_NostalgiaForInfinityV2_OPT_02, Similarity Score: 88.89%
Strategy: CombinedBinHAndClucV6, Similarity Score: 88.89%
Strategy: CombinedBinHAndClucV6_2, Similarity Score: 88.89%
Strategy: FrankenStrat, Similarity Score: 88.89%
Strategy: FrankenStrat_259, Similarity Score: 88.89%
Strategy: MACD_23, Similarity Score: 88.89%
Strategy: NostalgiaForInfinityV1, Similarity Score: 88.89%
Strategy: NostalgiaForInfinityV2, Similarity Score: 88.89%
Strategy: 06_CombinedBinHAndClucV9, Similarity Score: 86.11%
Strategy: CBPete9, Similarity Score: 86.11%
Strategy: CombinedAMD, Similarity Score: 86.11%
Strategy: CombinedBinHClucAndMADV9_269, Similarity Score: 86.11%
Strategy: CombinedBinHClucAndMADV9_5, Similarity Score: 86.11%
Strategy: CombinedBinHClucAndMADV9_858, Similarity Score: 86.11%
Strategy: HybridMonster, Similarity Score: 86.11%
Strategy: MadV9HO, Similarity Score: 86.11%
last change: 2023-04-26 16:51:50