The NostalgiaForInfinityNextGen strategy is designed to backtest trading strategies. Here's a breakdown of what it does:
Indicator Population: The strategy populates various indicators based on the provided data. It retrieves BTC (Bitcoin) information for different timeframes (5 minutes and 1 hour) and merges it with the current data.
It also incorporates informative timeframes, resamples data to a different timeframe if specified, and calculates indicators for the normal (5 minutes) timeframe.
Buy Trend Population: The strategy determines the buy conditions based on the populated indicators.
It checks various conditions for buying, including exponential moving average (EMA) crossovers, close price above EMAs, rising simple moving averages (SMA), safe dips thresholds, and safe pump thresholds. The code provided represents the implementation of these steps in Python. It uses pandas DataFrame to manipulate the data and perform calculations.