The NostalgiaForInfinityNextGen strategy is designed for backtesting trading strategies on a website. It consists of several components that perform different tasks. populate_indicators: This method populates the indicators used in the strategy.
It retrieves data for BTC and merges it with the main data frame.
It handles different timeframes and drops unnecessary columns.
populate_buy_trend: This method populates the conditions for buying in the strategy. It creates a list of conditions based on various parameters such as moving averages (ema), close prices, and safe dips/pumps thresholds. It appends the conditions to the data frame. These methods are part of the NostalgiaForInfinityNextGen class, which implements the IStrategy interface. Overall, this strategy retrieves and merges data for BTC, calculates indicators, and sets conditions for buying based on specified parameters.