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The strategy, "ClucHAnix_BB_RPB_MOD2_ROI," is a backtesting strategy implemented in Python. It utilizes various technical indicators to make buy decisions in a trading environment. Here is a brief description of what the strategy does:
Populating Indicators:
Calculates Heikin-Ashi candlestick data.
Computes exponential moving averages (EMA) with different time periods.
Calculates simple moving average (SMA).
Computes relative strength index (RSI) with different time periods. Calculates Commodity Channel Index (CTI). Calculates stochastic fast indicators. Calculates average directional index (ADX). Calculates Bollinger Bands and their standard deviations. Computes various delta values and price-related metrics. Calculates other indicators like EWO, Fisher Transform, and rate of change (ROCR). Merges data from informative pairs and BTC/USDT data. Populating Buy Trend: Sets up conditions for buy signals based on specific criteria. Evaluates conditions for each buy signal and assigns a corresponding tag. Conditions include factors like BTC safety, pump strength, different types of "lambo" signals, local uptrend, NFI_32 signals, EWO_1 signals, EWO low signals, and COFI signals. The strategy aims to identify potential buying opportunities based on the combination of technical indicators and predefined conditions.
Computes exponential moving averages (EMA) with different time periods.
Calculates simple moving average (SMA).
Computes relative strength index (RSI) with different time periods. Calculates Commodity Channel Index (CTI). Calculates stochastic fast indicators. Calculates average directional index (ADX). Calculates Bollinger Bands and their standard deviations. Computes various delta values and price-related metrics. Calculates other indicators like EWO, Fisher Transform, and rate of change (ROCR). Merges data from informative pairs and BTC/USDT data. Populating Buy Trend: Sets up conditions for buy signals based on specific criteria. Evaluates conditions for each buy signal and assigns a corresponding tag. Conditions include factors like BTC safety, pump strength, different types of "lambo" signals, local uptrend, NFI_32 signals, EWO_1 signals, EWO low signals, and COFI signals. The strategy aims to identify potential buying opportunities based on the combination of technical indicators and predefined conditions.
stoploss: -0.99 timeframe: 5m hash(sha256): 8d7c0aaaa562c02a37269499b13edaad8bc77227529ad561edf1e0dcf4896751 indicators: 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 runmode ewo_candles_buy local_trend_enabled ewo_high ewo_low rsi_20 bbdelta bb_middleband2 cofi_fastk cofi_ewo_high nfi32_cti_limit closedelta zema_30 ema_fast ha_open sma_15 nfi32_
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last change: 2022-07-02 19:54:08