The StrategyName class is a trading strategy implemented in Python. It is designed to be used with a backtesting website that tests various trading strategies. The strategy utilizes the IStrategy interface provided by the freqtrade.strategy.interface module.
This interface defines the necessary methods and attributes for a strategy to be compatible with the backtesting framework.
The StrategyName class also contains a nested HyperOpt class, which handles hyperparameter optimization for the strategy.
Within the HyperOpt class, there are two static methods: generate_roi_table: This method takes a dictionary of parameters as input and returns a dictionary representing the return on investment (ROI) table for the given parameters. The ROI table is a mapping of time periods to corresponding ROI values. roi_space: This method defines the search space for the ROI parameter used in the hyperparameter optimization. It returns a list of skopt.space.Dimension objects, specifically an Integer dimension representing the minimum and maximum values for the ROI time period. The strategy defines the minimum and maximum values for the ROI time period (roi_min_time and roi_max_time) and creates a dictionary of limits (roi_limits) based on these values. It then logs the limits and generates ROI tables for the minimum and maximum time periods using the generate_roi_table method. Finally, the roi_space method returns a list containing a single Integer dimension that represents the ROI time period within the defined limits. Overall, the StrategyName class implements a trading strategy and provides methods for hyperparameter optimization related to the ROI time period.
This interface defines the necessary methods and attributes for a strategy to be compatible with the backtesting framework.
The StrategyName class also contains a nested HyperOpt class, which handles hyperparameter optimization for the strategy.
Within the HyperOpt class, there are two static methods: generate_roi_table: This method takes a dictionary of parameters as input and returns a dictionary representing the return on investment (ROI) table for the given parameters. The ROI table is a mapping of time periods to corresponding ROI values. roi_space: This method defines the search space for the ROI parameter used in the hyperparameter optimization. It returns a list of skopt.space.Dimension objects, specifically an Integer dimension representing the minimum and maximum values for the ROI time period. The strategy defines the minimum and maximum values for the ROI time period (roi_min_time and roi_max_time) and creates a dictionary of limits (roi_limits) based on these values. It then logs the limits and generates ROI tables for the minimum and maximum time periods using the generate_roi_table method. Finally, the roi_space method returns a list containing a single Integer dimension that represents the ROI time period within the defined limits. Overall, the StrategyName class implements a trading strategy and provides methods for hyperparameter optimization related to the ROI time period.
Traceback (most recent call last): File "/freqtrade/freqtrade/main.py", line 42, in main return_code = args['func'](args) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/commands/optimize_commands.py", line 57, in start_backtesting backtesting = Backtesting(config) ^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 113, in __init__ self.strategylist.append(StrategyResolver.load_strategy(self.config)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/resolvers/strategy_resolver.py", line 48, in load_strategy strategy: IStrategy = StrategyResolver._load_strategy( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/resolvers/strategy_resolver.py", line 269, in _load_strategy strategy = StrategyResolver._load_object( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/resolvers/iresolver.py", line 156, in _load_object return module(**kwargs) ^^^^^^^^^^^^^^^^ TypeError: Can't instantiate abstract class Discord_StrategyName with abstract method populate_indicators
stoploss: 0 timeframe: 5m hash(sha256): a053c0b7bb6825d0493b4e27847ad36e67b31b7941ee0def5b25e242ab0faac9
Was not able to fetch indicators from Strategyfile.
last change: 2024-04-29 21:22:23