- Added BBRS strategy implementation, incorporating Bollinger Bands and RSI for trading signals.
- Introduced multi-timeframe analysis support, allowing strategies to handle internal resampling.
- Enhanced StrategyManager to log strategy initialization and unique timeframes in use.
- Updated DefaultStrategy to support flexible timeframe configurations and improved stop-loss execution.
- Improved plotting logic in BacktestCharts for better visualization of strategy outputs and trades.
- Refactored strategy base class to facilitate resampling and data handling across different timeframes.
- Introduced a new strategies module containing the StrategyManager class to orchestrate multiple trading strategies.
- Implemented StrategyBase and StrategySignal as foundational components for strategy development.
- Added DefaultStrategy for meta-trend analysis and BBRSStrategy for Bollinger Bands + RSI trading.
- Enhanced documentation to provide clear usage examples and configuration guidelines for the new system.
- Established a modular architecture to support future strategy additions and improvements.
- Added validation to ensure the specified price column exists in the DataFrame for Bollinger Bands calculations.
- Introduced a new method to ensure the DataFrame has a proper DatetimeIndex, improving time-series operations in strategy processing.
- Updated strategy run method to call the new DatetimeIndex validation method before processing data.
- Improved logging for better traceability of data transformations and potential issues.
- Introduced a new method to standardize output column names across different strategies, ensuring consistency in data handling and plotting.
- Updated plotting logic in test_bbrsi.py to utilize standardized column names, improving clarity and maintainability.
- Enhanced error handling for missing data in plots and adjusted visual elements for better representation of trading signals.
- Improved the overall structure of strategy implementations to support additional indicators and metadata for better analysis.
- Removed unused configuration for daily data and consolidated minute configuration into a single config dictionary.
- Updated plotting logic to dynamically handle different strategies, ensuring appropriate bands and signals are displayed based on the selected strategy.
- Improved error handling and logging for missing data in plots.
- Enhanced the Bollinger Bands and RSI classes to support adaptive parameters based on market regimes, improving flexibility in strategy execution.
- Added new CryptoTradingStrategy with multi-timeframe analysis and volume confirmation for better trading signal accuracy.
- Updated documentation to reflect changes in strategy implementations and configuration requirements.
- Introduced a new Strategy class to encapsulate trading strategies, including the Market Regime Strategy that adapts to different market conditions.
- Refactored BollingerBands and RSI classes to accept configuration parameters for improved flexibility and maintainability.
- Updated test_bbrsi.py to utilize the new strategy implementation and adjusted date ranges for testing.
- Enhanced documentation to include details about the new Strategy class and its components.
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