The BigPete strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. It involves populating indicators and defining conditions for buying trends. Here's a breakdown of its main components:
populate_indicators method:
Retrieves informative 1-hour indicators and merges them with the current timeframe indicators.
Returns the updated dataframe.
populate_buy_trend method:
Defines multiple buy conditions using a list named conditions.
Each condition is a combination of various criteria expressed as logical expressions. These conditions specify when to enter a buy trade based on indicators such as moving averages (ema), Bollinger Bands (bb), relative strength index (rsi), historical data (hist), and volume. Each condition is appended to the conditions list. The strategy aims to identify specific patterns or signals in the market to generate buy signals. It considers indicators like moving averages, Bollinger Bands, RSI, historical data, and volume to determine the timing of entry into a trade. Please note that the provided code snippet may not be complete, and additional methods or logic may exist within the BigPete class or the IStrategy interface.