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The BB_RPB_TSL_SMA_Tranz strategy is a trading strategy that utilizes various indicators to make buying decisions. Here is a breakdown of what the strategy does:
In the populate_indicators method:
The strategy gathers informative indicators for the 15-minute and 1-hour timeframes and merges them with the main dataframe. It also populates additional indicators related to BTC and normal timeframes.
The strategy calculates and adds indicators such as VWAP (Volume-Weighted Average Price), percent change, RSI (Relative Strength Index), and others.
In the populate_buy_trend method: The strategy defines various conditions for determining buy signals.
These conditions include criteria related to profit potential, moving averages, candlestick patterns, RSI values, pump detection, BTC safety, real dips, pair safety, MMA (Moving Average) protection, dips, breakouts, and more. The strategy combines these conditions to generate buy signals and assigns a 'buy_tag' to the corresponding rows in the dataframe. Overall, the strategy aims to identify favorable buying opportunities based on a combination of technical indicators and market conditions. It utilizes indicators such as VWAP, RSI, moving averages, and various criteria for trend analysis and risk assessment.
The strategy calculates and adds indicators such as VWAP (Volume-Weighted Average Price), percent change, RSI (Relative Strength Index), and others.
In the populate_buy_trend method: The strategy defines various conditions for determining buy signals.
These conditions include criteria related to profit potential, moving averages, candlestick patterns, RSI values, pump detection, BTC safety, real dips, pair safety, MMA (Moving Average) protection, dips, breakouts, and more. The strategy combines these conditions to generate buy signals and assigns a 'buy_tag' to the corresponding rows in the dataframe. Overall, the strategy aims to identify favorable buying opportunities based on a combination of technical indicators and market conditions. It utilizes indicators such as VWAP, RSI, moving averages, and various criteria for trend analysis and risk assessment.
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stoploss: -0.15 timeframe: 5m hash(sha256): 4249db3a1f84f1cd3d8f5ce66c66fe6e3135f82f69056a96bee3ac70854d2e43 indicators: sell_pump_36_3_1h safe_pump_24_30 sell_pump_24_1_1h pct_change_min rsi_fast _5m_1d_dif sma_15_15m lambo2_rsi_4_limit rsi_slow_descending ema_20 source ha_closedelta buy_tag volume_mean_24 high ema_8 r_480 close_15m lookback_candles ha_high adx sma_28 tpct_change_12 T3Average safe_pump_48_50 runmode bb_width_1h btc_5m_1d_diff Smooth_HA_C bb_upperband2_40 ewo_low chop HA_OpenHA_Closehigh bb20_3_mid closedelta bb20_2_low tpct_change_0 cmf mama kc_lowerband_20_2 btc_5m_1d_dif recentispumping lower r
Similar Strategies: (based on used indicators)
Strategy: BB_RPB_TSL_SMA_Tranz_1203, Similarity Score: 97.78%
Strategy: BB_RPB_TSL_SMA_Tranz_1_5_2_MAIN, Similarity Score: 95.56%
Strategy: BB_RPB_TSL_SMA_Tranz_1_5_2_MAIN209, Similarity Score: 95.56%
last change: 2024-09-02 12:43:07