The ClucHAnix_BB_RPB_2 strategy is designed for backtesting trading decisions on financial data. It uses a variety of technical indicators to inform its buying decisions. Here's a brief description of its key elements:
This strategy is built as a class that implements the IStrategy interface.
It includes two main methods: populate_indicators and populate_buy_trend.
populate_indicators: This method calculates and adds various indicators to the input DataFrame, which includes price and volume data.
Some of the indicators used are: Heikin-Ashi candlestick values (open, close, high, low) Exponential Moving Averages (EMA) with different time periods (8, 14, 26) Simple Moving Average (SMA) with a time period of 15 Relative Strength Index (RSI) with different time periods (4, 14, 20) Commodity Trend Index (CTI) with a length of 20 Stochastic Fast %D and %K values Average Directional Index (ADX) Bollinger Bands (mid, lower) Other derived values like deltas and ratios populate_buy_trend: This method evaluates various conditions based on the calculated indicators to determine potential buying opportunities. It assigns specific tags to each buying condition met and appends the conditions to a list. Some of the conditions considered include: BTC safety and pump strength conditions Different "lambo" scenarios based on EMA and RSI values Local uptrend conditions based on EMAs and price movement "NFI 32" condition using RSI, SMA, and CTI EWO (Elliott Wave Oscillator) conditions, both high and low scenarios "COFI" condition based on various indicators "ClucHA" condition involving a combination of indicators The strategy aims to identify potential buying opportunities by combining signals from multiple technical indicators. These conditions can be further customized by adjusting the associated parameters. Please note that the provided code snippet is cut off, and the description is based on the visible portion of the code. The strategy likely continues with more conditions and further details in the original code.
It includes two main methods: populate_indicators and populate_buy_trend.
populate_indicators: This method calculates and adds various indicators to the input DataFrame, which includes price and volume data.
Some of the indicators used are: Heikin-Ashi candlestick values (open, close, high, low) Exponential Moving Averages (EMA) with different time periods (8, 14, 26) Simple Moving Average (SMA) with a time period of 15 Relative Strength Index (RSI) with different time periods (4, 14, 20) Commodity Trend Index (CTI) with a length of 20 Stochastic Fast %D and %K values Average Directional Index (ADX) Bollinger Bands (mid, lower) Other derived values like deltas and ratios populate_buy_trend: This method evaluates various conditions based on the calculated indicators to determine potential buying opportunities. It assigns specific tags to each buying condition met and appends the conditions to a list. Some of the conditions considered include: BTC safety and pump strength conditions Different "lambo" scenarios based on EMA and RSI values Local uptrend conditions based on EMAs and price movement "NFI 32" condition using RSI, SMA, and CTI EWO (Elliott Wave Oscillator) conditions, both high and low scenarios "COFI" condition based on various indicators "ClucHA" condition involving a combination of indicators The strategy aims to identify potential buying opportunities by combining signals from multiple technical indicators. These conditions can be further customized by adjusting the associated parameters. Please note that the provided code snippet is cut off, and the description is based on the visible portion of the code. The strategy likely continues with more conditions and further details in the original code.
stoploss: -0.99 timeframe: 1m hash(sha256): 9fa1ebc605cbe0684606d46ca8f51a433b043b14822a39a60c6bbdd483c414f0 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 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 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 ha_open sma_15 nfi32_sma_factor cofi_fastd low
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last change: 2024-05-06 18:52:59