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The BBMod strategy is a trading strategy that utilizes various technical indicators to generate entry signals in the market. Here is a breakdown of what the strategy does:
It calculates Bollinger Bands with two standard deviations (bb_lowerband2, bb_middleband2, bb_upperband2) and with three standard deviations (bb_lowerband3, bb_middleband3, bb_upperband3). It calculates the width of the Bollinger Bands relative to the middle band (bb_width).
It calculates the delta between the lower bands of the two sets of Bollinger Bands (bb_delta).
It calculates the absolute difference between the current close price and the previous close price (closedelta).
It calculates the Simple Moving Averages (sma_15, sma_28) and the Commodity Channel Index (cci_length_{val}) for different lengths. It calculates the Composite Index (cti). It calculates the Cumulative RSI (crsi) based on RSI values and the Rate of Change (ROC). It calculates Exponential Moving Averages (ema_8, ema_12, ema_13, ema_16, ema_20, ema_26, ema_100, ema_200). It calculates different variations of the Relative Strength Index (rsi, rsi_fast, rsi_slow, rsi_84, rsi_112). It calculates the Elder's Force Index (EWO). It calculates Heikin-Ashi candlestick values (ha_open, ha_close, ha_high, ha_low). It calculates Bollinger Bands based on Heikin-Ashi close prices (bb_lowerband2_40, bb_middleband2_40, bb_upperband2_40). It calculates the absolute difference between the middle and lower bands of the Heikin-Ashi Bollinger Bands (bb_delta_cluc). It calculates the absolute difference between the current Heikin-Ashi close price and the previous Heikin-Ashi close price (ha_closedelta). It calculates the absolute difference between the Heikin-Ashi close price and the Heikin-Ashi low price (tail). It calculates the Exponential Moving Average of the Heikin-Ashi close price (ema_slow). It calculates the Rate of Change Ratio (rocr) for the Heikin-Ashi close price. It calculates the Volume Weighted Average Price (vwap_low) and the Top Percent Change (tcp_percent_4). It calculates the Stochastic RSI (srsi_fk) and the True Range (trange). It calculates the Simple Moving Average of the True Range (range_ma_28). It calculates the upper and lower bands of the Keltner Channels (kc_upperband_28_1, kc_lowerband_28_1). It calculates the highest high (hh_20) and lowest low (ll_20) over a period. It calculates the average of the highest high and lowest low (avg_hh_ll_20). It calculates the Simple Moving Average of the close price (avg_close_20). It calculates the average of avg_hh_ll_20 and avg_close_20 (avg_val_20). It calculates the linear regression value of the difference between the close price and avg_val_20 (linreg_val_20). It calculates the 12-period and 24-period volume moving averages (volume_mean_12, volume_mean_24). It calculates the Williams %R (r_14). It calculates the Stochastic Fast oscillator (fastd, fastk). It calculates the Average Directional Index (adx). It calculates the Triple Exponential Moving Average (T3). The populate_entry_trend function of the strategy defines conditions based on the calculated indicators to determine the entry signals for different trend scenarios. The conditions check various thresholds and relationships between the indicators to identify potential trading opportunities. Note: The code provided seems to be incomplete or may contain errors as some variables or functions are referenced but not defined in the given code snippet.
It calculates the delta between the lower bands of the two sets of Bollinger Bands (bb_delta).
It calculates the absolute difference between the current close price and the previous close price (closedelta).
It calculates the Simple Moving Averages (sma_15, sma_28) and the Commodity Channel Index (cci_length_{val}) for different lengths. It calculates the Composite Index (cti). It calculates the Cumulative RSI (crsi) based on RSI values and the Rate of Change (ROC). It calculates Exponential Moving Averages (ema_8, ema_12, ema_13, ema_16, ema_20, ema_26, ema_100, ema_200). It calculates different variations of the Relative Strength Index (rsi, rsi_fast, rsi_slow, rsi_84, rsi_112). It calculates the Elder's Force Index (EWO). It calculates Heikin-Ashi candlestick values (ha_open, ha_close, ha_high, ha_low). It calculates Bollinger Bands based on Heikin-Ashi close prices (bb_lowerband2_40, bb_middleband2_40, bb_upperband2_40). It calculates the absolute difference between the middle and lower bands of the Heikin-Ashi Bollinger Bands (bb_delta_cluc). It calculates the absolute difference between the current Heikin-Ashi close price and the previous Heikin-Ashi close price (ha_closedelta). It calculates the absolute difference between the Heikin-Ashi close price and the Heikin-Ashi low price (tail). It calculates the Exponential Moving Average of the Heikin-Ashi close price (ema_slow). It calculates the Rate of Change Ratio (rocr) for the Heikin-Ashi close price. It calculates the Volume Weighted Average Price (vwap_low) and the Top Percent Change (tcp_percent_4). It calculates the Stochastic RSI (srsi_fk) and the True Range (trange). It calculates the Simple Moving Average of the True Range (range_ma_28). It calculates the upper and lower bands of the Keltner Channels (kc_upperband_28_1, kc_lowerband_28_1). It calculates the highest high (hh_20) and lowest low (ll_20) over a period. It calculates the average of the highest high and lowest low (avg_hh_ll_20). It calculates the Simple Moving Average of the close price (avg_close_20). It calculates the average of avg_hh_ll_20 and avg_close_20 (avg_val_20). It calculates the linear regression value of the difference between the close price and avg_val_20 (linreg_val_20). It calculates the 12-period and 24-period volume moving averages (volume_mean_12, volume_mean_24). It calculates the Williams %R (r_14). It calculates the Stochastic Fast oscillator (fastd, fastk). It calculates the Average Directional Index (adx). It calculates the Triple Exponential Moving Average (T3). The populate_entry_trend function of the strategy defines conditions based on the calculated indicators to determine the entry signals for different trend scenarios. The conditions check various thresholds and relationships between the indicators to identify potential trading opportunities. Note: The code provided seems to be incomplete or may contain errors as some variables or functions are referenced but not defined in the given code snippet.
stoploss: -0.99 timeframe: 5m hash(sha256): 3b692fb736694fc0fd4aead7b8d7d05e10730bc7c013e41c73279f0a46a12ec5 indicators: upper close exit_long exit_tag volume_mean_12 ema_200_1h avg_val_20 rsi_fast volume xe1 ema_20 ha_closedelta trange bb_upperband2 volume_mean_24 high ema_8 bb_lowerband3 xe6 ha_high adx ema_12 sma_28 T3Average ema_slow ema_26 bb_width_1h bb_lowerband2_40 bb_upperband2_40 bb_middleband2 closedelta sma_15 ha_open tcp_percent_4 avg_close_20 rmi_length_val vwap roc lower T3 rsi T3_1h xe3 ll_20 hh_20 kc_lowerband_28_1 bb_middleband3 bb_upperband3 tail bb_middleband2_1h srsi_fk r_14 rsi_84 vwap_low bb
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last change: 2022-07-23 05:06:48