The "Comb_ho4_7_H9" strategy is a trading strategy that is implemented as a class in Python. It inherits from the "IStrategy" class. Here is a breakdown of what the strategy does:
populate_indicators: This method is responsible for calculating and populating the indicator values for the given dataframe.
It merges the informative 1-hour indicators with the current timeframe indicators and returns the updated dataframe.
populate_buy_trend: This method is responsible for determining the buy signals or conditions for the strategy.
It defines multiple conditions using a combination of indicators and other parameters. The conditions are as follows:
Condition 1: The close price is below a moving average value, EWO (Elliott Wave Oscillator) is above a certain threshold, RSI (Relative Strength Index) is below a certain threshold, and volume is greater than zero. Condition 2: The close price is below a different moving average value, EWO is below a certain threshold, and volume is greater than zero. Condition 3: The close price is above a moving average value, EWO is above a certain threshold, RSI is below a certain threshold, and volume is greater than zero. Condition 4: The close price is above a different moving average value, EWO is below a certain threshold, and volume is greater than zero. Each condition is built using specific columns from the dataframe and adjustable parameters. The resulting buy signals are stored in a column called "buy_01_trigger."
Additionally, there are two more sets of conditions defined as "buy_02_trigger" and "buy_03_trigger." These conditions involve different combinations of indicators and parameters. The final buy signals are determined based on the enable status of each set of conditions. If enabled, the corresponding trigger column is considered as a buy signal. Overall, the strategy combines various technical indicators such as moving averages, oscillators, and volume to identify potential buying opportunities in the market.