The "GodStra" strategy is a trading strategy implemented as a class that inherits from the "IStrategy" class. It consists of three main methods: "populate_indicators," "populate_buy_trend," and "populate_sell_trend."
The "populate_indicators" method takes a DataFrame containing market data and adds technical analysis indicators to it. It uses the "add_all_ta_features" function to calculate various indicators based on the provided columns such as open, high, low, close, and volume.
The function then returns the modified DataFrame.
The "populate_buy_trend" method populates the buy signals in the DataFrame based on a set of buy parameters.
It iterates through the buy parameters and checks various conditions to determine if a buy signal should be generated. The conditions include comparisons between indicators and values, as well as cross-overs above or below certain thresholds. If the conditions are met, the corresponding row in the DataFrame is marked with a "buy" value of 1. The "populate_sell_trend" method is similar to the "populate_buy_trend" method but focuses on generating sell signals. It iterates through the sell parameters and checks conditions to determine if a sell signal should be generated. If the conditions are met, the corresponding row in the DataFrame is marked with a "sell" value of 1. Overall, the "GodStra" strategy uses technical indicators and specified buy and sell parameters to generate buy and sell signals in the provided DataFrame.
The function then returns the modified DataFrame.
The "populate_buy_trend" method populates the buy signals in the DataFrame based on a set of buy parameters.
It iterates through the buy parameters and checks various conditions to determine if a buy signal should be generated. The conditions include comparisons between indicators and values, as well as cross-overs above or below certain thresholds. If the conditions are met, the corresponding row in the DataFrame is marked with a "buy" value of 1. The "populate_sell_trend" method is similar to the "populate_buy_trend" method but focuses on generating sell signals. It iterates through the sell parameters and checks conditions to determine if a sell signal should be generated. If the conditions are met, the corresponding row in the DataFrame is marked with a "sell" value of 1. Overall, the "GodStra" strategy uses technical indicators and specified buy and sell parameters to generate buy and sell signals in the provided DataFrame.
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last change: 2024-07-27 15:25:15