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The BB_RPB_TSL_BIV1 strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. Here is a brief description of what the strategy does:
The populate_indicators method is responsible for populating the indicators used in the strategy. It takes a DataFrame and metadata as input and returns the updated DataFrame with indicators.
The populate_buy_trend method is responsible for determining the buy signals based on various conditions.
It takes a DataFrame and metadata as input and returns the updated DataFrame with buy signals indicated by the 'buy_tag' column.
The strategy uses multiple conditions to identify potential buying opportunities. Some of the important conditions include: is_dip: Checks if certain indicators (RMI, CCI, SRSI) are below specific thresholds. is_break: Checks if the price is breaking certain thresholds related to Bollinger Bands, delta, and width. is_local_uptrend: Checks for an uptrend based on EMA and Bollinger Bands, along with other conditions. is_local_dip: Checks for a dip in an uptrend based on EMA, RSI, and other conditions. is_ewo: Checks for conditions related to EWO (Elliott Wave Oscillator), RSI, and EMAs. is_ewo_2: Checks for additional conditions related to EWO, RSI, EMAs, and their shifts. is_r_deadfish: Checks for conditions related to EMA, Bollinger Bands, volume, and other indicators. is_clucHA: Checks for conditions related to HA (Heiken Ashi), ROC, Bollinger Bands, and other indicators. is_cofi: Checks for conditions related to EMA, fastk/fastd, ADX, EWO, CTI, and RSI. is_nfi_13, is_nfi_32, is_nfi_33, is_nfi_38: Check for various conditions related to EMA, RSI, CTI, EWO, volume, and other indicators. is_nfix_5: Checks for a specific condition related to EMA and its shift. These conditions are used to determine whether a buy signal should be generated based on the given strategy parameters.
The populate_buy_trend method is responsible for determining the buy signals based on various conditions.
It takes a DataFrame and metadata as input and returns the updated DataFrame with buy signals indicated by the 'buy_tag' column.
The strategy uses multiple conditions to identify potential buying opportunities. Some of the important conditions include: is_dip: Checks if certain indicators (RMI, CCI, SRSI) are below specific thresholds. is_break: Checks if the price is breaking certain thresholds related to Bollinger Bands, delta, and width. is_local_uptrend: Checks for an uptrend based on EMA and Bollinger Bands, along with other conditions. is_local_dip: Checks for a dip in an uptrend based on EMA, RSI, and other conditions. is_ewo: Checks for conditions related to EWO (Elliott Wave Oscillator), RSI, and EMAs. is_ewo_2: Checks for additional conditions related to EWO, RSI, EMAs, and their shifts. is_r_deadfish: Checks for conditions related to EMA, Bollinger Bands, volume, and other indicators. is_clucHA: Checks for conditions related to HA (Heiken Ashi), ROC, Bollinger Bands, and other indicators. is_cofi: Checks for conditions related to EMA, fastk/fastd, ADX, EWO, CTI, and RSI. is_nfi_13, is_nfi_32, is_nfi_33, is_nfi_38: Check for various conditions related to EMA, RSI, CTI, EWO, volume, and other indicators. is_nfix_5: Checks for a specific condition related to EMA and its shift. These conditions are used to determine whether a buy signal should be generated based on the given strategy parameters.
stoploss: -0.99 timeframe: 5m hash(sha256): 5e14ed9f575eaedc02eb7e3d7de43f28e7c8a604676a376b1e080fe8604a2b39 indicators: upper close volume_mean_12 ema_200_1h rsi_fast r_480_1h volume ema_20 source ha_closedelta momdiv_coh bb_upperband2 volume_mean_24 high ema_8 r_480 cci bb_lowerband3 rsi_1h final_ub momdiv_col ha_high pm adx ema_12 ema_slow ema_26 bb_width_1h bb_lowerband2_40 cmf_1h bb_upperband2_40 basic_ub sma_21 momdiv_buy bb_middleband2 closedelta sma_15 ha_open volume_mean_4 cmf rmi_length_val lower roc r_32 rsi momdiv_sell crsi_1h bb_middleband3 bb_upperband3 ema_50 tail mfi srsi_fk r_14 srsi_fd cci_long r
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last change: 2023-01-03 01:10:51