The "GodStra" strategy is a backtesting strategy that performs technical analysis on financial data to generate buy and sell signals. Here is a breakdown of its main components:
populate_indicators: This method populates the dataframe with various technical indicators using the add_all_ta_features function. It calculates indicators such as moving averages, relative strength index (RSI), and others based on the provided dataframe.
populate_buy_trend: This method generates buy signals based on a set of buy parameters.
It iterates over the buy parameters and checks conditions based on comparison operators (>, =, <) and additional operators (CA, CB, >I, =I,R, =R,
Depending on the specified conditions, it appends True or False to the conditions list. If all the conditions are satisfied for a particular row in the dataframe, the 'buy' column for that row is set to 1. populate_sell_trend: This method is similar to populate_buy_trend but generates sell signals instead. It iterates over the sell parameters and checks conditions based on comparison operators and additional operators. If all the conditions are satisfied for a particular row in the dataframe, the 'sell' column for that row is set to 1. Overall, the strategy uses technical indicators and specified conditions to determine when to generate buy and sell signals. These signals can be further used for evaluating the performance of trading strategies during backtesting.
populate_buy_trend: This method generates buy signals based on a set of buy parameters.
It iterates over the buy parameters and checks conditions based on comparison operators (>, =, <) and additional operators (CA, CB, >I, =I,
Depending on the specified conditions, it appends True or False to the conditions list. If all the conditions are satisfied for a particular row in the dataframe, the 'buy' column for that row is set to 1. populate_sell_trend: This method is similar to populate_buy_trend but generates sell signals instead. It iterates over the sell parameters and checks conditions based on comparison operators and additional operators. If all the conditions are satisfied for a particular row in the dataframe, the 'sell' column for that row is set to 1. Overall, the strategy uses technical indicators and specified conditions to determine when to generate buy and sell signals. These signals can be further used for evaluating the performance of trading strategies during backtesting.
stoploss: -0.345 timeframe: 12h hash(sha256): e17a47debba89e6e827926b761ac6d3cf9e909250b6eb5b363e5f130caee0e9b
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last change: 2024-04-27 22:41:39