The strategy, NostalgiaForInfinityNext_ChangeToTower_V2, is a trading strategy that involves backtesting various indicators and conditions to determine buy signals for trading. Here is a brief description of its key components:
populate_indicators:
This function populates the indicators used in the strategy. It fetches Bitcoin (BTC) data in different timeframes (5 minutes and 1 hour) and merges it with the main dataframe.
It also merges informative timeframe data and resampled data if specified.
Finally, it calculates indicators for the normal (5 minutes) timeframe.
populate_buy_trend:
This function determines the buy signals based on specified conditions and indicators. It checks various buy protection parameters and creates a list of conditions for each parameter. It then evaluates buy conditions based on indicators like EMA, SMA, RSI, MFI, and volume. If a buy condition is met, it sets the corresponding buy_condition variable to 1. Overall, the strategy utilizes multiple indicators, such as moving averages (EMA, SMA), RSI, MFI, and volume, to generate buy signals based on specified conditions. The strategy takes into account different timeframes and merges relevant data to make informed trading decisions during backtesting.