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The NFIV7_3_1 strategy is designed to backtest trading strategies using various indicators and conditions. Here's a short description of what the strategy does:
populate_indicators function:
Merges BTC (Bitcoin) data on different timeframes (5m/1h) with the main dataframe. Removes unnecessary columns from the merged dataframe.
Incorporates informative timeframes if specified.
Resamples the data to another timeframe if specified.
Calculates indicators for the normal (5m) timeframe. populate_buy_trend function: Sets up conditions and buy protection criteria for executing buy orders. Checks various indicators and conditions for each buy protection item. Evaluates buy conditions based on configurable parameters. Assigns boolean values to the corresponding buy condition columns in the dataframe. Please note that this description provides a general overview of the strategy's functionality. For a more detailed understanding, it would be helpful to review the code implementation and the specific parameters used in each step.
Incorporates informative timeframes if specified.
Resamples the data to another timeframe if specified.
Calculates indicators for the normal (5m) timeframe. populate_buy_trend function: Sets up conditions and buy protection criteria for executing buy orders. Checks various indicators and conditions for each buy protection item. Evaluates buy conditions based on configurable parameters. Assigns boolean values to the corresponding buy condition columns in the dataframe. Please note that this description provides a general overview of the strategy's functionality. For a more detailed understanding, it would be helpful to review the code implementation and the specific parameters used in each step.
stoploss: -0.99 timeframe: 5m hash(sha256): 63387a1f82adbb19583761355f2d91c082ebb69537849f383a4606baf5b22e76
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08