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The BB_RPB_TSL strategy is a trading strategy that utilizes various indicators to identify buy signals in the market. Here is a breakdown of the important parts of the strategy:
populate_indicators: This function is responsible for populating the indicators used in the strategy. It takes a dataframe and metadata as inputs and returns the updated dataframe with additional indicators.
populate_buy_trend: This function identifies the buy signals based on specific conditions.
It sets a 'buy_tag' column in the dataframe to indicate potential buying opportunities.
The conditions for identifying buy signals include: is_dip: Checks for a dip in the RMI (Relative Momentum Index), CCI (Commodity Channel Index), and SRSI (Stochastic Relative Strength Index) indicators. is_sqzOff: Checks if the Bollinger Bands are in a squeeze-off state. is_break: Looks for a breakout by comparing the width and delta of Bollinger Bands. is_local_uptrend: Identifies a local uptrend based on the EMA (Exponential Moving Average) and Bollinger Bands. is_local_dip: Looks for a local dip based on various indicators, including EMA, RSI (Relative Strength Index), and CRSI (Cumulative Relative Strength Index). is_ewo: Considers the EWO (Elder's Force Index) along with other indicators like RSI and EMA to identify potential buy signals. is_ewo_2: Similar to is_ewo but with additional conditions based on the EMA of the 1-hour timeframe. is_r_deadfish: Checks for a reverse deadfish pattern using indicators such as EMA, Bollinger Bands, volume, and CTI (Composite Index). is_clucHA: Considers the HA (Heikin-Ashi) candles, Bollinger Bands, and rate of change to identify buying opportunities. is_cofi: Based on the modified COFI (Cumulative Oscillator for Financial Instruments) strategy, which utilizes indicators like EMA, ADX (Average Directional Index), EWO, CTI, and RSI. is_gumbo: Modified version of the gumbo1 strategy, utilizing indicators like EWO, Bollinger Bands, T3, CTI, and RSI. is_sqzmom: Modified version of the Squeeze Momentum strategy, which looks for a squeeze-off state along with other indicators like linear regression, EMA, EWO, and RSI. is_nfi_13 and is_nfi_32: Uses various indicators including EMAs, SMA (Simple Moving Average), CTI, and EWO to identify specific market conditions for potential buying opportunities. The strategy combines these conditions to generate buy signals, which are indicated by the 'buy_tag' column in the dataframe.
populate_buy_trend: This function identifies the buy signals based on specific conditions.
It sets a 'buy_tag' column in the dataframe to indicate potential buying opportunities.
The conditions for identifying buy signals include: is_dip: Checks for a dip in the RMI (Relative Momentum Index), CCI (Commodity Channel Index), and SRSI (Stochastic Relative Strength Index) indicators. is_sqzOff: Checks if the Bollinger Bands are in a squeeze-off state. is_break: Looks for a breakout by comparing the width and delta of Bollinger Bands. is_local_uptrend: Identifies a local uptrend based on the EMA (Exponential Moving Average) and Bollinger Bands. is_local_dip: Looks for a local dip based on various indicators, including EMA, RSI (Relative Strength Index), and CRSI (Cumulative Relative Strength Index). is_ewo: Considers the EWO (Elder's Force Index) along with other indicators like RSI and EMA to identify potential buy signals. is_ewo_2: Similar to is_ewo but with additional conditions based on the EMA of the 1-hour timeframe. is_r_deadfish: Checks for a reverse deadfish pattern using indicators such as EMA, Bollinger Bands, volume, and CTI (Composite Index). is_clucHA: Considers the HA (Heikin-Ashi) candles, Bollinger Bands, and rate of change to identify buying opportunities. is_cofi: Based on the modified COFI (Cumulative Oscillator for Financial Instruments) strategy, which utilizes indicators like EMA, ADX (Average Directional Index), EWO, CTI, and RSI. is_gumbo: Modified version of the gumbo1 strategy, utilizing indicators like EWO, Bollinger Bands, T3, CTI, and RSI. is_sqzmom: Modified version of the Squeeze Momentum strategy, which looks for a squeeze-off state along with other indicators like linear regression, EMA, EWO, and RSI. is_nfi_13 and is_nfi_32: Uses various indicators including EMAs, SMA (Simple Moving Average), CTI, and EWO to identify specific market conditions for potential buying opportunities. The strategy combines these conditions to generate buy signals, which are indicated by the 'buy_tag' column in the dataframe.
startup_candle_count : 200 ema_50_1h: -0.001% ema_100_1h: -0.011% ema_100: -0.026% rsi_slow: 0.002%
stoploss: -0.99 timeframe: 5m hash(sha256): 9d325a1b9d12161bf0e6e3404c45af5a3cb99c57f7966c8e1b2a98c97bf83053 indicators: upper close volume_mean_12 ema_200_1h safe_dump_50 avg_val_20 rsi_fast r_480_1h volume xe1 ema_20 source ha_closedelta momdiv_coh trange bb_upperband2 volume_mean_24 high ema_8 r_480 cci bb_lowerband3 rsi_1h xe6 final_ub low_5 momdiv_col ha_high pm adx ema_12 sma_28 T3Average 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 avg_close_20 cmf rmi_length_val kc_lowerband_20_2 lower roc T3 r_32 rsi
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last change: 2023-11-03 05:42:38