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The BB_RPB_TSL strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. The strategy consists of several components:
populate_indicators function: This function calculates and populates the required indicators for the strategy. It takes a DataFrame and a metadata dictionary as input and returns the modified DataFrame.
populate_buy_trend function: This function determines the buy conditions for the strategy based on the populated indicators.
It assigns a buy tag to the DataFrame indicating the occurrence of a buy signal.
The buy conditions include various technical indicators and their respective thresholds. Here are some important components of the buy conditions: is_dip: Checks for conditions related to relative strength index (RMI), commodity channel index (CCI), and stochastic relative strength index (SRSI). is_sqzOff: Checks for conditions related to Bollinger Bands and Keltner Channels. is_break: Checks for conditions related to Bollinger Bands, including delta and width. is_local_uptrend: Checks for conditions related to exponential moving averages (EMA) and Bollinger Bands, indicating a local uptrend. is_local_dip: Checks for conditions related to exponential moving averages (EMA), relative strength index (RSI), cumulative RSI (CRSI), and price movements, indicating a local dip. is_ewo and is_ewo_2: Check for conditions related to the Fisher Transform of the Detrended Price Oscillator (EWO), RSI, and EMA, indicating potential buy signals. is_r_deadfish: Checks for conditions related to exponential moving averages (EMA), Bollinger Bands, volume, and other technical indicators, indicating a potential buy signal. is_clucHA: Checks for conditions related to rate of change (ROCR), Bollinger Bands, and Heiken Ashi candlestick patterns. is_cofi: Checks for conditions related to EMA, stochastic indicators, average directional index (ADX), EWO, and other technical indicators. is_gumbo: Checks for conditions related to EWO, Bollinger Bands, triple exponential moving average (T3), and other technical indicators. is_sqzmom: Checks for conditions related to Bollinger Bands, linear regression, EMA, EWO, and other technical indicators. is_nfi_13 and is_nfi_32: Check for conditions related to exponential moving averages (EMA), simple moving average (SMA), and various technical indicators. Overall, the strategy combines multiple technical indicators and their thresholds to generate buy signals based on specific market conditions.
populate_buy_trend function: This function determines the buy conditions for the strategy based on the populated indicators.
It assigns a buy tag to the DataFrame indicating the occurrence of a buy signal.
The buy conditions include various technical indicators and their respective thresholds. Here are some important components of the buy conditions: is_dip: Checks for conditions related to relative strength index (RMI), commodity channel index (CCI), and stochastic relative strength index (SRSI). is_sqzOff: Checks for conditions related to Bollinger Bands and Keltner Channels. is_break: Checks for conditions related to Bollinger Bands, including delta and width. is_local_uptrend: Checks for conditions related to exponential moving averages (EMA) and Bollinger Bands, indicating a local uptrend. is_local_dip: Checks for conditions related to exponential moving averages (EMA), relative strength index (RSI), cumulative RSI (CRSI), and price movements, indicating a local dip. is_ewo and is_ewo_2: Check for conditions related to the Fisher Transform of the Detrended Price Oscillator (EWO), RSI, and EMA, indicating potential buy signals. is_r_deadfish: Checks for conditions related to exponential moving averages (EMA), Bollinger Bands, volume, and other technical indicators, indicating a potential buy signal. is_clucHA: Checks for conditions related to rate of change (ROCR), Bollinger Bands, and Heiken Ashi candlestick patterns. is_cofi: Checks for conditions related to EMA, stochastic indicators, average directional index (ADX), EWO, and other technical indicators. is_gumbo: Checks for conditions related to EWO, Bollinger Bands, triple exponential moving average (T3), and other technical indicators. is_sqzmom: Checks for conditions related to Bollinger Bands, linear regression, EMA, EWO, and other technical indicators. is_nfi_13 and is_nfi_32: Check for conditions related to exponential moving averages (EMA), simple moving average (SMA), and various technical indicators. Overall, the strategy combines multiple technical indicators and their thresholds to generate buy signals based on specific market conditions.
stoploss: -0.99 timeframe: 5m hash(sha256): f2c920db663b028062ba7ad3af5f42c9cdfc2765e4a99168ad7f0e5da42960bf 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: 2022-12-31 13:52:35