The NFIX_BB_RPB_v103 strategy is a trading strategy that involves backtesting various trading scenarios. Here is a short description of what the strategy does:
Populating Indicators:
Retrieves BTC price information from different timeframes (5 minutes and 1 hour) and merges it with the current dataframe. Drops unnecessary columns from the merged dataframe.
Retrieves informative timeframes (1 day, 1 hour, and 15 minutes) and merges them with the current dataframe.
Drops unnecessary columns from the merged dataframe.
Resamples the dataframe to a specified timeframe if needed. Computes indicators for the normal (5 minutes) timeframe. Populating Buy Trend:
Defines conditions for buying based on various parameters. Evaluates these conditions for each data point in the dataframe. Assigns a "buy_tag" to each data point based on the fulfilled conditions. Note: The provided code snippet appears to be incomplete, and some parts are cut off. The complete strategy may include additional functionality for selling, risk management, and other components.