The NostalgiaForInfinity_7_13_0 strategy is designed for backtesting trading strategies on a website. Here's a brief explanation of what it does:
populate_indicators(): This function populates various indicators for the trading strategy. It retrieves BTC price information at different timeframes (5 minutes, 1 hour, and daily) and merges it with the main dataframe.
It also handles informative timeframes, resampling to a different timeframe, and calculates indicators for the normal timeframe (5 minutes).
populate_buy_trend(): This function populates the buy signals for the strategy.
It defines conditions for entering a buy trade based on different parameters such as exponential moving averages (EMA), simple moving averages (SMA), safe dips, safe pumps, BTC trends, pivot points, and others. It applies these conditions to the dataframe and sets a 'buy_tag' for the relevant entries. The strategy uses a combination of indicators and conditions to determine when to enter a buy trade. The specific details of the indicators and conditions are not provided in the given code snippet.