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The BBMod strategy is a trading strategy that uses various technical indicators to determine buy and sell signals in the market. Here's a breakdown of its key components:
populate_indicators: This function is responsible for populating the necessary indicators for the strategy. It includes merging informative dataframes, such as 1-hour indicators, with the main dataframe.
populate_buy_trend: This function defines the conditions for identifying buy signals.
It uses multiple conditions based on indicators like moving averages (ema), Bollinger Bands (bb), relative strength index (rsi), exponential weighted oscillator (ewo), and more.
Each condition represents a specific market pattern or trend that suggests a favorable buying opportunity. populate_sell_trend: This function determines the sell signals for the strategy. In this case, it simply marks every data point with a 'sell' signal. BBMod1DCA: This class extends the functionality of BBMod and implements a specific variation of the strategy, known as BBMod1DCA. Overall, the BBMod strategy combines various technical indicators and conditions to generate buy signals based on different market scenarios. It aims to capture favorable trading opportunities and can be customized or extended to suit specific trading preferences or timeframes.
populate_buy_trend: This function defines the conditions for identifying buy signals.
It uses multiple conditions based on indicators like moving averages (ema), Bollinger Bands (bb), relative strength index (rsi), exponential weighted oscillator (ewo), and more.
Each condition represents a specific market pattern or trend that suggests a favorable buying opportunity. populate_sell_trend: This function determines the sell signals for the strategy. In this case, it simply marks every data point with a 'sell' signal. BBMod1DCA: This class extends the functionality of BBMod and implements a specific variation of the strategy, known as BBMod1DCA. Overall, the BBMod strategy combines various technical indicators and conditions to generate buy signals based on different market scenarios. It aims to capture favorable trading opportunities and can be customized or extended to suit specific trading preferences or timeframes.
stoploss: -0.99 timeframe: 5m hash(sha256): faed8ce1772d5786c2e14aef0c99480d6e207aad6f503d681b57a94df27e24c7 indicators: rocr_1h bb_upperband2_40 upper EWO ha_low ema_200 ema_50 ema_13 close high_offset_2 ema_49 tail position_adjustment_enable crsi ema_200_1h vwap_high sma_21 rsi_fast bb_middleband2 volume closedelta rsi_84 rocr ema_20 open ha_closedelta ema_fast vwap_low bb_middleband2_40 sma_15 ha_open bb_upperband2 fisher high rsi_112 tcp_percent_4 mid bb_delta_cluc stake_amount ema_24 ema_8 bb_width ema_16 ha_close sma_75 vwap cti sma_9 ema_100 ha_high lower roc rsi_slow sma_28 sma_30 ema_12 rsi ema_slow ema_4
Similar Strategies: (based on used indicators)
Strategy: BBMod_1, Similarity Score: 98.33%
Strategy: BBMod_2, Similarity Score: 83.33%
last change: 2022-09-02 12:12:54