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The CombinedBinHClucAndMADV3 strategy is a trading strategy implemented in a backtesting website. Here is a short description of what the strategy does:
In the "populate_indicators" function:
It generates informative indicators for the 1-hour timeframe using the "informative_1h_indicators" method. It merges the informative indicators with the original dataframe based on the desired timeframe and ffill parameter.
In the "populate_buy_trend" function: It identifies potential buying opportunities based on multiple conditions and indicators.
The conditions include comparisons between different moving averages (ema_200_1h, ema_50, ema_50_1h), lower band, bbdelta, closedelta, tail, and volume.
If any of the three strategies (BinHV45, ClucMay72018, MACD Low buy) yield a buy signal, the 'buy' column in the dataframe is set to 1. In the "populate_sell_trend" function: It identifies potential selling opportunities based on a condition. The condition compares the closing price to the upper Bollinger Band (bb_middleband) multiplied by 1.01 and checks for nonzero volume. If the condition is met, the 'sell' column in the dataframe is set to 1. Overall, the strategy combines different indicators and conditions to generate buy and sell signals, aiming to capture profitable trading opportunities.
In the "populate_buy_trend" function: It identifies potential buying opportunities based on multiple conditions and indicators.
The conditions include comparisons between different moving averages (ema_200_1h, ema_50, ema_50_1h), lower band, bbdelta, closedelta, tail, and volume.
If any of the three strategies (BinHV45, ClucMay72018, MACD Low buy) yield a buy signal, the 'buy' column in the dataframe is set to 1. In the "populate_sell_trend" function: It identifies potential selling opportunities based on a condition. The condition compares the closing price to the upper Bollinger Band (bb_middleband) multiplied by 1.01 and checks for nonzero volume. If the condition is met, the 'sell' column in the dataframe is set to 1. Overall, the strategy combines different indicators and conditions to generate buy and sell signals, aiming to capture profitable trading opportunities.
startup_candle_count : 200 ema_50_1h: -0.001%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): 4ca3200a239bf843a26cda39bdc4bd0a4cf67ed5d7de7ff8d196781d7a042840 indicators: upper ema_200 ema_50 close tail bb_lowerband ema_200_1h bbdelta volume closedelta open volume_mean_slow ema_50_1h mid lower ema_12 bb_middleband rsi bb_upperband ema_slow ema_26 low
Similar Strategies: (based on used indicators)
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Strategy: CombinedBinHClucAndMADV3_3, Similarity Score: 95.65%
Strategy: CombinedBinHClucAndMADV5, Similarity Score: 95.65%
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last change: 2024-08-02 08:11:31