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Strategy: CombinedBinHClucAndMADV5_2
Downloaded: 20230426
Stoploss: -0.99
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Strategy failed backtesting!
Reason: Duplicate of CombinedBinHClucAndMADV5

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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.

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

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last change: 2023-04-26 16:51:50