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The BB_RPB_TSL strategy is a trading strategy that involves several conditions for identifying potential buy signals. Here's a breakdown of the important parts of the strategy:
Populating Indicators: This function takes the input dataframe and metadata, and populates various indicators based on different timeframes. Populating Buy Trend: This function identifies buy signals based on several conditions.
The conditions include: is_dip: Checks if the RMI (Relative Momentum Index), CCI (Commodity Channel Index), and Stochastic RSI values are below specified thresholds.
is_sqzOff: Checks if the Bollinger Bands are in a squeeze state, indicated by the lower band being lower than the Keltner Channel's lower band and the upper band being higher than the Keltner Channel's upper band.
is_break: Checks if the Bollinger Bands' delta and width, as well as the price's percentage change, are above certain thresholds. is_local_uptrend: Looks for signs of a local uptrend, considering factors such as the EMA (Exponential Moving Average) values, their differences, and the price's relation to the Bollinger Bands. is_local_dip: Similar to the previous condition, but identifies local dips instead. is_ewo: Considers the RSI, EMA, and EWO (Elliott Wave Oscillator) values to detect potential buying opportunities. is_ewo_2: Another condition involving EMA, RSI, and EWO values, but with additional criteria based on the 1-hour timeframe's EMA values. is_r_deadfish: Checks for reverse deadfish patterns using various indicators such as EMA, Bollinger Bands, volume, CTI (Composite Index), and a specific rate. is_clucHA: Considers the Rate of Change (ROCR), Bollinger Bands, and Heikin-Ashi candlestick patterns to identify buy signals. is_cofi: Uses indicators like EMA, fastk/fastd crossover, ADX (Average Directional Index), EWO, CTI, and a specific rate. is_gumbo: Similar to the previous condition, but with modified criteria based on EWO, Bollinger Bands, T3, CTI, and a specific rate. is_sqzmom: Based on the Squeeze Momentum indicator, it looks for specific conditions involving Bollinger Bands, linear regression, EMA, EWO, and a specific rate. is_nfi_13 and is_nfi_32: These conditions consider various indicators such as EMA, SMA (Simple Moving Average), CTI, EWO, and specific thresholds. The strategy combines these conditions to determine when to place a buy trade. It assigns a "buy_tag" value to the dataframe to mark the identified buy signals.
The conditions include: is_dip: Checks if the RMI (Relative Momentum Index), CCI (Commodity Channel Index), and Stochastic RSI values are below specified thresholds.
is_sqzOff: Checks if the Bollinger Bands are in a squeeze state, indicated by the lower band being lower than the Keltner Channel's lower band and the upper band being higher than the Keltner Channel's upper band.
is_break: Checks if the Bollinger Bands' delta and width, as well as the price's percentage change, are above certain thresholds. is_local_uptrend: Looks for signs of a local uptrend, considering factors such as the EMA (Exponential Moving Average) values, their differences, and the price's relation to the Bollinger Bands. is_local_dip: Similar to the previous condition, but identifies local dips instead. is_ewo: Considers the RSI, EMA, and EWO (Elliott Wave Oscillator) values to detect potential buying opportunities. is_ewo_2: Another condition involving EMA, RSI, and EWO values, but with additional criteria based on the 1-hour timeframe's EMA values. is_r_deadfish: Checks for reverse deadfish patterns using various indicators such as EMA, Bollinger Bands, volume, CTI (Composite Index), and a specific rate. is_clucHA: Considers the Rate of Change (ROCR), Bollinger Bands, and Heikin-Ashi candlestick patterns to identify buy signals. is_cofi: Uses indicators like EMA, fastk/fastd crossover, ADX (Average Directional Index), EWO, CTI, and a specific rate. is_gumbo: Similar to the previous condition, but with modified criteria based on EWO, Bollinger Bands, T3, CTI, and a specific rate. is_sqzmom: Based on the Squeeze Momentum indicator, it looks for specific conditions involving Bollinger Bands, linear regression, EMA, EWO, and a specific rate. is_nfi_13 and is_nfi_32: These conditions consider various indicators such as EMA, SMA (Simple Moving Average), CTI, EWO, and specific thresholds. The strategy combines these conditions to determine when to place a buy trade. It assigns a "buy_tag" value to the dataframe to mark the identified buy signals.
stoploss: -0.99 timeframe: 5m hash(sha256): a99b253c7e6f92560088b24072c8007df0a1f8b3d69a3e75ebc7a87ca6dac32e indicators: upper close volume_mean_12 ema_200_1h safe_dump_50 avg_val_20 rsi_fast r_480_1h volume xe1 ema_20 source ha_closedelta momdiv_coh trange bb_upperband2 volume_mean_24 high ema_8 r_480 cci bb_lowerband3 rsi_1h xe6 final_ub low_5 momdiv_col ha_high pm adx ema_12 sma_28 T3Average ema_slow ema_26 bb_width_1h bb_lowerband2_40 cmf_1h bb_upperband2_40 basic_ub sma_21 momdiv_buy bb_middleband2 closedelta sma_15 ha_open volume_mean_4 avg_close_20 cmf rmi_length_val kc_lowerband_20_2 lower roc T3 r_32 rsi
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last change: 2023-06-27 20:33:06