The BigZ04NextHO strategy is designed for backtesting trading strategies. Here's a short description of what the strategy does:
The strategy involves populating indicators based on different timeframes and merging them with the main dataframe. It first retrieves BTC price data for both the base timeframe and an informative timeframe.
Various indicators are calculated for these timeframes and merged with the main dataframe.
Additionally, informative indicators are calculated for the 1-hour timeframe and merged with the main dataframe.
After populating the indicators, the strategy defines several buy conditions based on specific criteria. These conditions involve comparing the values of different indicators and price levels. The conditions include checks for moving averages, Bollinger Bands, relative strength index (RSI), and volume. If any of the buy conditions are met, a buy signal is generated for the corresponding trading opportunity. Please note that this description is based on the provided code snippet, and the complete functionality and details of the strategy may depend on other parts of the code that are not shown here.