The Miku_PP_v3 strategy is implemented as a class that inherits from the IStrategy class. It contains three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators function takes a DataFrame and metadata as input and applies slow time-frame indicators to the DataFrame.
It returns the modified DataFrame.
The populate_buy_trend function takes a DataFrame and metadata as input and populates the 'buy' column of the DataFrame with a value of 1 for rows that meet the condition (dataframe['pivots_ok'] > 0).
This suggests a buying trend based on the indicator 'pivots_ok'. The populate_sell_trend function takes a DataFrame and metadata as input and populates the 'sell' column of the DataFrame with a value of 1 for rows that meet the condition (dataframe['trending_over'] > 0). This suggests a selling trend based on the indicator 'trending_over'. In summary, the Miku_PP_v3 strategy applies slow time-frame indicators to a DataFrame, identifies buying opportunities based on the 'pivots_ok' indicator, and identifies selling opportunities based on the 'trending_over' indicator.