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The BBMod1 strategy is a backtesting strategy that uses various indicators to identify potential buying opportunities in trading. Here's a brief description of what the strategy does:
populate_indicators: This function populates the required indicators for the strategy, including informative 1-hour indicators and normal time frame indicators. It merges the informative pair data with the current timeframe data.
populate_buy_trend: This function identifies conditions for potential buying opportunities based on several criteria.
Some of the important conditions include: is_dip: Checks if the Relative Momentum Index (RMI), Commodity Channel Index (CCI), and Stochastic Relative Strength Index (SRSI) meet specific values.
is_break: Checks if the Bollinger Bands' delta and width, as well as the price delta, meet specific values. is_local_uptrend: Checks for a local uptrend based on exponential moving averages (EMA) and Bollinger Bands. is_local_uptrend2: Similar to the previous condition but with a different calculation for the EMA difference. is_local_dip: Checks for a local dip based on EMA, RSI, and other conditions. is_ewo: Checks for specific conditions related to EMA, RSI, and EWO (Elliott Wave Oscillator). is_clucha: Checks for conditions related to Rate of Change Ratio (ROCR), Bollinger Bands, and other factors. is_clucha2: Similar to the previous condition but with a different calculation for Bollinger Bands. is_cofi: Checks for conditions modified from the COFI strategy, involving EMA, fast stochastics, ADX, EWO, CTI, and R-14. is_nfi_32: Checks for conditions related to NFIX 26 strategy, involving RSI, SMA, and CTI. is_nfi_33: Checks for conditions related to NFIX 33 strategy, involving EMA, EWO, CTI, RSI, R-14, and volume. is_nfi_38: Checks for conditions related to NFIX 38 strategy, involving PM, SMA, EWO, CTI, R-14, and CRSI. is_nfix_5: Checks for conditions related to NFIX 5 strategy, involving EMA, SMA, EWO, CTI, R-14, and close price. is_nfix_39: Checks for conditions related to NFIX 39 strategy, involving EMA, Bollinger Bands, closedelta, tail, and close price. is_nfix_49: (Incomplete in the provided code) These conditions are used to generate buy signals by setting the 'buy_tag' column in the dataframe accordingly. The strategy likely continues with additional functions for populating sell trends and generating trading signals based on the generated buy and sell tags.
populate_buy_trend: This function identifies conditions for potential buying opportunities based on several criteria.
Some of the important conditions include: is_dip: Checks if the Relative Momentum Index (RMI), Commodity Channel Index (CCI), and Stochastic Relative Strength Index (SRSI) meet specific values.
is_break: Checks if the Bollinger Bands' delta and width, as well as the price delta, meet specific values. is_local_uptrend: Checks for a local uptrend based on exponential moving averages (EMA) and Bollinger Bands. is_local_uptrend2: Similar to the previous condition but with a different calculation for the EMA difference. is_local_dip: Checks for a local dip based on EMA, RSI, and other conditions. is_ewo: Checks for specific conditions related to EMA, RSI, and EWO (Elliott Wave Oscillator). is_clucha: Checks for conditions related to Rate of Change Ratio (ROCR), Bollinger Bands, and other factors. is_clucha2: Similar to the previous condition but with a different calculation for Bollinger Bands. is_cofi: Checks for conditions modified from the COFI strategy, involving EMA, fast stochastics, ADX, EWO, CTI, and R-14. is_nfi_32: Checks for conditions related to NFIX 26 strategy, involving RSI, SMA, and CTI. is_nfi_33: Checks for conditions related to NFIX 33 strategy, involving EMA, EWO, CTI, RSI, R-14, and volume. is_nfi_38: Checks for conditions related to NFIX 38 strategy, involving PM, SMA, EWO, CTI, R-14, and CRSI. is_nfix_5: Checks for conditions related to NFIX 5 strategy, involving EMA, SMA, EWO, CTI, R-14, and close price. is_nfix_39: Checks for conditions related to NFIX 39 strategy, involving EMA, Bollinger Bands, closedelta, tail, and close price. is_nfix_49: (Incomplete in the provided code) These conditions are used to generate buy signals by setting the 'buy_tag' column in the dataframe accordingly. The strategy likely continues with additional functions for populating sell trends and generating trading signals based on the generated buy and sell tags.
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stoploss: -0.99 timeframe: 5m hash(sha256): f1f9effc181e91d62f7fac61e9343a71213e983c46d140409e18c86b0063cd83 indicators: upper close high_offset_2 position_adjustment_enable volume_mean_12 ema_200_1h safe_dump_50 avg_val_20 rsi_fast volume xe1 ema_20 source ha_closedelta momdiv_coh trange bb_upperband2 volume_mean_24 high ema_8 r_480 cci bb_lowerband3 xe6 final_ub low_5 momdiv_col ha_high pm adx ema_12 sma_28 T3Average ema_slow ema_26 bb_lowerband2_40 bb_upperband2_40 basic_ub ema_49 sma_21 momdiv_buy bb_middleband2 closedelta ema_fast sma_15 ha_open volume_mean_4 tcp_percent_4 avg_close_20 ema_24 cmf rmi_length_v
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last change: 2024-08-02 10:48:53