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The CombinedBinHAndClucV6 strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. Here's a breakdown of what the strategy does:
populate_indicators function:
This function populates the indicators used by the strategy. It takes a dataframe and metadata as input.
It generates informative 1-hour indicators using the informative_1h_indicators method.
It merges the informative indicators with the original dataframe using the merge_informative_pair function.
It applies normal time frame indicators using the normal_tf_indicators method. It returns the modified dataframe with the populated indicators. populate_buy_trend function: This function determines the buy signals for the strategy. It takes a dataframe and metadata as input. It sets specific conditions for buy signals using logical operations. The conditions involve comparing various indicators and price data to predefined thresholds. If the conditions for any of the three strategies (BinHV45, ClucMay72018, or custom conditions) are met, it sets the corresponding rows in the dataframe to 'buy' (1). It returns the modified dataframe with the buy signals. populate_sell_trend function: This function determines the sell signals for the strategy. It takes a dataframe and metadata as input. It sets conditions for sell signals based on price data and volume. If the conditions for selling are met, it sets the corresponding rows in the dataframe to 'sell' (1). It returns the modified dataframe with the sell signals. In summary, the strategy populates indicators, identifies buy signals based on specific conditions, and determines sell signals based on other conditions. The CombinedBinHAndClucV6 strategy combines multiple strategies (BinHV45, ClucMay72018, and custom conditions) to generate trading signals.
It generates informative 1-hour indicators using the informative_1h_indicators method.
It merges the informative indicators with the original dataframe using the merge_informative_pair function.
It applies normal time frame indicators using the normal_tf_indicators method. It returns the modified dataframe with the populated indicators. populate_buy_trend function: This function determines the buy signals for the strategy. It takes a dataframe and metadata as input. It sets specific conditions for buy signals using logical operations. The conditions involve comparing various indicators and price data to predefined thresholds. If the conditions for any of the three strategies (BinHV45, ClucMay72018, or custom conditions) are met, it sets the corresponding rows in the dataframe to 'buy' (1). It returns the modified dataframe with the buy signals. populate_sell_trend function: This function determines the sell signals for the strategy. It takes a dataframe and metadata as input. It sets conditions for sell signals based on price data and volume. If the conditions for selling are met, it sets the corresponding rows in the dataframe to 'sell' (1). It returns the modified dataframe with the sell signals. In summary, the strategy populates indicators, identifies buy signals based on specific conditions, and determines sell signals based on other conditions. The CombinedBinHAndClucV6 strategy combines multiple strategies (BinHV45, ClucMay72018, and custom conditions) to generate trading signals.
stoploss: -0.99 timeframe: 5m hash(sha256): 81f172252c0b6ddcc41ae5d4ea2e6581104b8c329dd8911dd9cc61d3005fa6e9 indicators: upper ema_200 ema_50 close sma_5 tail bb_lowerband ema_200_1h bbdelta volume smaHigh ATR ssl_up closedelta sslDown hlv volume_mean_slow ema_50_1h smaLow high sslUp mid ssl_down_1h ssl_down rsi_1h lower bb_middleband rsi bb_upperband ema_slow low ssl_up_1h
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last change: 2023-04-21 15:47:56