The NFIV8_SMA strategy is designed for backtesting trading strategies. It implements several functions to populate indicators and define buy conditions. In the populate_indicators function:
The strategy fetches BTC price data for informative and base timeframes and performs indicator calculations.
It merges the informative BTC data with the main dataframe and drops unnecessary columns.
It resamples the data to a specified timeframe and performs additional indicator calculations.
Finally, it calculates indicators for the normal (5m) timeframe. In the populate_buy_trend function:
The strategy defines various conditions for buying based on indicator values. It creates a 'buy_tag' column in the dataframe to indicate buy signals. It uses a combination of indicators such as RSI, uptrend, moving averages, volume, and price comparisons to determine buy conditions. It also incorporates additional buy protection parameters based on user-defined settings. Overall, the NFIV8_SMA strategy aims to generate buy signals based on a combination of technical indicators and customizable parameters.