The BBMod strategy is a backtesting strategy that involves the use of various technical indicators to determine trading signals. Here is a short description of what the strategy does:
The strategy calculates Bollinger Bands with two standard deviations and three standard deviations using the typical price of the asset. It also calculates the width of the Bollinger Bands and the delta between the lower bands.
Moving averages (SMA) with different time periods are calculated, along with other indicators such as CTI, CRSI, EMA, RSI, EWO, Heikin Ashi, VWAP, and more.
In the entry trend calculation, the strategy checks for various conditions, including RMI, CCI, SRSI, Bollinger Bands, closedelta, and SQZMOM indicators.
It also considers EWO, EMA, R, and other factors. These conditions help determine the entry points for the trading signals. The strategy populates indicators and entry trend dataframes to provide the necessary information for backtesting and evaluating the performance of the trading strategy. Please note that this is a simplified description, and the actual implementation and functionality may be more complex.
Moving averages (SMA) with different time periods are calculated, along with other indicators such as CTI, CRSI, EMA, RSI, EWO, Heikin Ashi, VWAP, and more.
In the entry trend calculation, the strategy checks for various conditions, including RMI, CCI, SRSI, Bollinger Bands, closedelta, and SQZMOM indicators.
It also considers EWO, EMA, R, and other factors. These conditions help determine the entry points for the trading signals. The strategy populates indicators and entry trend dataframes to provide the necessary information for backtesting and evaluating the performance of the trading strategy. Please note that this is a simplified description, and the actual implementation and functionality may be more complex.
stoploss: -0.99 timeframe: 5m hash(sha256): d69349bd6c4a20beb5e2289b6d06b742cfd73de2b541973850f15892361ae577 indicators: upper close volume_mean_12 ema_200_1h avg_val_20 rsi_fast volume xe1 ema_20 ha_closedelta trange bb_upperband2 tcp_percent_val 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 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 vwap_low bb_middleband2_40 avg_hh_l
Similar Strategies: (based on used indicators)
Strategy: BBMod_5, Similarity Score: 92.59%
Strategy: BBMod_4, Similarity Score: 87.04%
Strategy: BBMod_3, Similarity Score: 77.78%
Strategy: BB_RPB_TSL_4, Similarity Score: 75.93%
last change: 2024-11-01 20:08:25