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The BBMod strategy is a backtesting strategy that uses various indicators to determine buy signals in a trading system. Here is a brief description of what the strategy does:
The populate_indicators function populates the required indicators for the strategy using the input dataframe and metadata. It merges informative data from a 1-hour timeframe and normal timeframe indicators.
The populate_buy_trend function identifies buy conditions based on a set of criteria.
It assigns a 'buy_tag' to the dataframe to mark potential buy signals.
The strategy incorporates multiple conditions to identify potential buy signals, such as: is_local_uptrend: Checks for an uptrend based on exponential moving averages (EMA) and a lower Bollinger Band factor. is_local_dip: Identifies a local dip in the market using EMA, RSI, and other criteria. is_ewo: Uses a combination of RSI, EMA, and Elder's Force Index (EWO) to detect potential buying opportunities. is_clucha: Implements conditions based on the Clucha indicator and Bollinger Bands. is_cofi: Utilizes modified conditions from the Cofi strategy involving EMA, ADX, and other indicators. is_nfi_32, is_nfi_33, is_nfix_5, is_nfix_39, is_nfix_49, is_nfi7_33, is_nfi7_37: Various conditions based on different combinations of indicators and thresholds. These conditions evaluate specific aspects of the market and asset price movements to generate potential buy signals.
The populate_buy_trend function identifies buy conditions based on a set of criteria.
It assigns a 'buy_tag' to the dataframe to mark potential buy signals.
The strategy incorporates multiple conditions to identify potential buy signals, such as: is_local_uptrend: Checks for an uptrend based on exponential moving averages (EMA) and a lower Bollinger Band factor. is_local_dip: Identifies a local dip in the market using EMA, RSI, and other criteria. is_ewo: Uses a combination of RSI, EMA, and Elder's Force Index (EWO) to detect potential buying opportunities. is_clucha: Implements conditions based on the Clucha indicator and Bollinger Bands. is_cofi: Utilizes modified conditions from the Cofi strategy involving EMA, ADX, and other indicators. is_nfi_32, is_nfi_33, is_nfix_5, is_nfix_39, is_nfix_49, is_nfi7_33, is_nfi7_37: Various conditions based on different combinations of indicators and thresholds. These conditions evaluate specific aspects of the market and asset price movements to generate potential buy signals.
startup_candle_count : 120 ema_50_1h: -0.009% ema_100_1h: 0.234% rsi_1h: 0.005% rmi_length_17: 0.002% srsi_fk: 0.409% srsi_fd: 0.410% hma_50: 0.020% ema_26: 0.001% ema_49: 0.028% ema_50: 0.030% ema_100: 0.094% rsi: -0.053% rsi_slow: -0.716% rsi_84: -13.138% ema_slow: 0.031% adx: 0.873% fisher: 0.929%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): e2ea71c067dca6931ba9a864468d3dfe1ea24787a699f32995eb405d221319ff 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 10:38:08