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The strategy described in the code snippet is a backtesting strategy for trading. It appears to be implementing a class called "Infinity" that inherits from the "IStrategy" class. The strategy consists of several methods that manipulate dataframes containing trading data and apply indicators to generate trading signals.
Here is a breakdown of the important parts of the strategy: populate_indicators: This method populates the indicators for different timeframes (5m, 1h) and merges them with the main dataframe.
It uses various indicator functions specific to different timeframes, such as "base_tf_btc_indicators," "info_tf_btc_indicators," "informative_1h_indicators," and "resampled_tf_indicators." populate_buy_trend: This method populates the buy signals based on specified conditions.
It uses a combination of indicators and parameters to determine the buy signals. It checks for various conditions, such as moving averages (EMA and SMA), close prices compared to EMAs, relative strength index (RSI), money flow index (MFI), and Bollinger Bands (BB). The buy signals are assigned tags ('1', '2', '3', etc.) based on the conditions that are met. The code snippet provided represents a partial implementation of the strategy, and there may be additional methods or code that define the complete functionality.
Here is a breakdown of the important parts of the strategy: populate_indicators: This method populates the indicators for different timeframes (5m, 1h) and merges them with the main dataframe.
It uses various indicator functions specific to different timeframes, such as "base_tf_btc_indicators," "info_tf_btc_indicators," "informative_1h_indicators," and "resampled_tf_indicators." populate_buy_trend: This method populates the buy signals based on specified conditions.
It uses a combination of indicators and parameters to determine the buy signals. It checks for various conditions, such as moving averages (EMA and SMA), close prices compared to EMAs, relative strength index (RSI), money flow index (MFI), and Bollinger Bands (BB). The buy signals are assigned tags ('1', '2', '3', etc.) based on the conditions that are met. The code snippet provided represents a partial implementation of the strategy, and there may be additional methods or code that define the complete functionality.
startup_candle_count : 480 ema_200_1h: 0.024% ema_200: -0.005% ewo: -1.260%
stoploss: -0.3 timeframe: 5m hash(sha256): daac9601da5f0baadd046b5235568fc0ce957d4b7f7498abcf89eb85ce89db76 indicators: sell_pump_36_3_1h sma_200_1h upper safe_pump_type safe_pump_24_30 close tsi_ema_fast ema_15 sell_pump_36_2 sma_5 buy_condition_4_enable sell_pump_24_1_1h safe_pump_period ema_25 ema_200_1h buy_condition_27_enable safe_dump_50 ewo sma200_rising_val buy_condition_6_enable buy_condition_16_enable r_480_1h safe_pump_24_100 volume rsi_4 sma_200_dec_20 safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 safe_pump_48_30 safe_pump_48_100_1h buy_condition_29_enable oc_pct_change_48 sell_pump_48_1_1h h
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last change: 2024-05-02 23:07:15