Strategy: BBMod_3
Downloaded: 20220708
Stoploss: -0.99

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The BBMod strategy is a backtesting strategy that uses various indicators to generate trading signals. Here is a short description of what the strategy does: The strategy first populates several indicators on the input DataFrame, including Bollinger Bands with different standard deviations, moving averages, RSI (Relative Strength Index), EMA (Exponential Moving Average), Heikin-Ashi candles, VWAP (Volume Weighted Average Price), CCI (Commodity Channel Index), RMI (Relative Momentum Index), stochastic indicators, ADX (Average Directional Index), T3 indicator, SSL Channels, SROC (Smoothed Rate of Change), and more. In the populate_entry_trend method, the strategy defines various conditions based on the populated indicators to determine entry points for trades.

These conditions include checking for dips in RMI and CCI, breakouts based on Bollinger Bands and price movement, squoze momentum (BB bands within Keltner Channels), and other factors.

The strategy assigns an "enter_tag" to each data point to indicate whether it satisfies any of the defined conditions for entering a trade.

Overall, the strategy combines multiple indicators to identify potential trading opportunities based on different market conditions and price patterns.

startup_candle_count : 200
ema_100: -0.026%
rsi_slow: 0.002%
rsi_84: 1.849%
rsi_112: 2.118%
stoploss: -0.99
timeframe: 5m
hash(sha256): 0a8ce2765b87c974e79fedf5b4988592215a3cab7b2e8dbebd6b1f2e62703cf2
upper close exit_long exit_tag volume_mean_12
ema_200_1h avg_val_20 rsi_fast volume smaHigh
xe1 sslDown ema_20 ha_closedelta trange
bb_upperband2 volume_mean_24 high sslUp ema_8
bb_lowerband3 xe6 ha_high adx ema_12
sma_28 T3Average ema_slow ema_26 bb_lowerband2_40
bb_upperband2_40 maxdown bb_middleband2 closedelta rmiuptrend
hlv candleuptrend sma_15 ha_open tcp_percent_4
avg_close_20 rmi_length_val vwap lower T3
rsi T3_1h xe3 ll_20 hh_20
kc_lowerband_28_1 static decay step bb_middleband3

Similar Strategies: (based on used indicators)

Strategy: BBMod_4, Similarity Score: 80.7%
Strategy: BBMod_5, Similarity Score: 80.7%
Strategy: BBMod_7, Similarity Score: 75.44%

last change: 2023-06-27 13:33:36