The ClucHAnix_BB_RPB_TraNz strategy is a backtesting strategy that aims to identify buying opportunities in trading. Here is a breakdown of its important components:
Indicators Population:
The strategy starts by populating various indicators using the provided dataframe and metadata. It includes informative_1h indicators, which are merged into the main dataframe.
Normal time frame (tf) indicators are also populated.
Buy Trend Conditions: Several conditions are checked to determine if a buy signal is present.
The strategy assigns an empty string to the 'buy_tag' column in the dataframe. Moving averages (MA) are calculated for specific candle periods. Various conditions involving indicators are checked, such as RMI, CCI, SRSI, Bollinger Bands (BB), Keltner Channels (KC), and more. Different types of trends are considered, including local uptrend, local dip, exponential moving average (EMA), and reverse deadfish. Other indicators and factors, such as EWO (Elliott Wave Oscillator), RSI (Relative Strength Index), volume, CTI (Composite Index), and more, are also used to identify buy signals. Additional Strategies: The strategy incorporates modified versions of other strategies, such as clucHA, cofi, gumbo, squeezeMomentum, and nfi_13. Each modified strategy has its own set of conditions based on specific indicators and factors. Overall, the ClucHAnix_BB_RPB_TraNz strategy combines multiple indicators, moving averages, and trend analysis techniques to identify potential buying opportunities in trading. It considers various market conditions and factors to generate buy signals for further analysis and evaluation.
Normal time frame (tf) indicators are also populated.
Buy Trend Conditions: Several conditions are checked to determine if a buy signal is present.
The strategy assigns an empty string to the 'buy_tag' column in the dataframe. Moving averages (MA) are calculated for specific candle periods. Various conditions involving indicators are checked, such as RMI, CCI, SRSI, Bollinger Bands (BB), Keltner Channels (KC), and more. Different types of trends are considered, including local uptrend, local dip, exponential moving average (EMA), and reverse deadfish. Other indicators and factors, such as EWO (Elliott Wave Oscillator), RSI (Relative Strength Index), volume, CTI (Composite Index), and more, are also used to identify buy signals. Additional Strategies: The strategy incorporates modified versions of other strategies, such as clucHA, cofi, gumbo, squeezeMomentum, and nfi_13. Each modified strategy has its own set of conditions based on specific indicators and factors. Overall, the ClucHAnix_BB_RPB_TraNz strategy combines multiple indicators, moving averages, and trend analysis techniques to identify potential buying opportunities in trading. It considers various market conditions and factors to generate buy signals for further analysis and evaluation.
stoploss: -0.99 timeframe: 5m hash(sha256): bfd38c83376dde5e23b864b343d23d9e41623235649819178fd54b72d1473aec indicators: historicMax upper local_trend_bb_factor close lambo1_ema_14_factor cofi_ema bb_lowerband volume_mean_12 ema_200_1h lambo1_rsi_4_limit safe_dump_50 avg_val_20 rsi_fast r_480_1h lambo2_rsi_4_limit volume rsi_4 xe1 date close ema_20 source ha_closedelta momdiv_coh buy_tag trange clucha_bbdelta_close bb_upperband2 rsi_14 volume_mean_24 high ewo_low_offset ema_8 r_480 cci ewo_low_enabled antipump_threshold rsi_1h bb_lowerband3 xe6 final_ub low_5 pump_strength momdiv_col ha_high pm cofi_enabled adx em
Similar Strategies: (based on used indicators)
Strategy: ClucHAnix_BB_RPB_Tz, Similarity Score: 98%
Strategy: TraNz_1, Similarity Score: 96%
last change: 2024-04-28 04:10:50