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The "ClucHAnix_BB_RPB_MOD_CTT" strategy is designed for backtesting trading strategies. It utilizes various technical indicators and conditions to determine buy signals. Here is a breakdown of what the strategy does:
It starts by calculating Heikin Ashi candles for the given timeframe.
Several indicators are then calculated, including exponential moving averages (EMA) with different time periods, simple moving average (SMA), relative strength index (RSI) with different time periods, Commodity Channel Index (CTI), average volume, volume rate of change (VROC), stochastic fast %D and %K, average directional index (ADX), Bollinger Bands, closedelta, ha_closedelta, and tail.
More indicators are calculated, such as EMA for Heikin Ashi close, rate of change ratio (ROCR), and Ergodic Oscillator (EWO).
Informative data is retrieved for the 1-hour timeframe, and Heikin Ashi candles are calculated for it. The strategy merges the informative data with the current timeframe data. Bitcoin data for the 1-minute and 1-day timeframes is obtained and merged with the current data. Additional indicators, such as zero lag exponential moving averages (ZEMA) with different periods and pump strength, are calculated. The strategy then moves on to populate the buy trend. Conditions for different buy signals are defined, such as BTC safety, pump safety, Lambo1, Lambo2, local uptrend, NFI_32, and EWO_1. Each condition is evaluated, and if satisfied, the corresponding buy tag is assigned to the respective row in the "buy_tag" column. All the conditions are stored in a list for reference. This strategy combines multiple technical indicators and conditions to generate buy signals based on the defined criteria.
Several indicators are then calculated, including exponential moving averages (EMA) with different time periods, simple moving average (SMA), relative strength index (RSI) with different time periods, Commodity Channel Index (CTI), average volume, volume rate of change (VROC), stochastic fast %D and %K, average directional index (ADX), Bollinger Bands, closedelta, ha_closedelta, and tail.
More indicators are calculated, such as EMA for Heikin Ashi close, rate of change ratio (ROCR), and Ergodic Oscillator (EWO).
Informative data is retrieved for the 1-hour timeframe, and Heikin Ashi candles are calculated for it. The strategy merges the informative data with the current timeframe data. Bitcoin data for the 1-minute and 1-day timeframes is obtained and merged with the current data. Additional indicators, such as zero lag exponential moving averages (ZEMA) with different periods and pump strength, are calculated. The strategy then moves on to populate the buy trend. Conditions for different buy signals are defined, such as BTC safety, pump safety, Lambo1, Lambo2, local uptrend, NFI_32, and EWO_1. Each condition is evaluated, and if satisfied, the corresponding buy tag is assigned to the respective row in the "buy_tag" column. All the conditions are stored in a list for reference. This strategy combines multiple technical indicators and conditions to generate buy signals based on the defined criteria.
rategies/ClucHAnix_BB_RPB_MOD_CTT.py", line 472, in confirm_trade_exit trade.sell_reason = sell_reason + "_" + trade.buy_tag ^^^^^^^^^^^^^^^^^ AttributeError: property 'sell_reason' of 'LocalTrade' object has no setter
stoploss: -0.99 timeframe: 1m hash(sha256): 29be0beeab016190319058718ec3856f81c5d364f9cc99a057e8b552d397d73a indicators: historicMax upper local_trend_bb_factor lambo1_ema_14_factor close cofi_ema bb_lowerband lambo1_rsi_4_limit lambo2_rsi_4_limit volume rsi_4 date close ha_closedelta buy_tag clucha_bbdelta_close rsi_14 bb_upperband2 high ewo_low_offset ema_8 ewo_low_enabled antipump_threshold pump_strength ha_high cofi_enabled adx ema_slow ema_26 vroc_bool runmode ewo_candles_buy local_trend_enabled vroc_max ewo_high ewo_low rsi_20 bbdelta bb_middleband2 cofi_fastk cofi_ewo_high nfi32_cti_limit closedelta zema_30
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last change: 2024-09-29 01:55:32