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.