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The BinClucMad strategy is designed for backtesting trading strategies. It is a class that inherits from the IStrategy class. Here is a short description of what the strategy does:
The populate_indicators method is responsible for calculating various indicators based on the provided dataframe and metadata.
It merges informative data from a higher timeframe with the current timeframe and computes additional indicators.
The resulting dataframe is returned.
The populate_buy_trend method defines the conditions for triggering a buy signal based on the indicators and parameters. It checks multiple conditions, such as the price being above certain moving averages, the price being within specified Bollinger Bands, volume-related criteria, and other technical indicators. Each condition is represented as a logical expression appended to the conditions list. If any of the conditions are met, a buy signal is generated. Note that the code provided is incomplete, and there may be additional methods and logic specific to this strategy that are not included.
It merges informative data from a higher timeframe with the current timeframe and computes additional indicators.
The resulting dataframe is returned.
The populate_buy_trend method defines the conditions for triggering a buy signal based on the indicators and parameters. It checks multiple conditions, such as the price being above certain moving averages, the price being within specified Bollinger Bands, volume-related criteria, and other technical indicators. Each condition is represented as a logical expression appended to the conditions list. If any of the conditions are met, a buy signal is generated. Note that the code provided is incomplete, and there may be additional methods and logic specific to this strategy that are not included.
startup_candle_count : 200 ema_50_1h: -0.001%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): e1b3d4cbe60daeaa93298053383638630b0fbc7943681731041fedd384548997 indicators: volume ema_12 ema_200 ema_50 rsi_1h bb_middleband rsi sma_5 close bb_upperband bb_lowerband ema_26 open ssl_up_1h volume_mean_slow ema_50_1h
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last change: 2024-08-02 10:37:18