- Implemented `generate_backtest_report` to create PDF reports for backtest results.
- Added `report_file` field to `StrategyExecution` for storing report paths.
- Introduced `/executions/<execution_id>/report/` endpoint for downloading reports.
- Enhanced backtesting flow to generate and save reports upon completion.
- Updated dependencies to include `matplotlib` for report generation.
- Introduced a `backtest_strategy` endpoint to enable strategy backtesting with user-specified parameters.
- Implemented a generic backtesting engine allowing rebalancing, equity curve tracking, and performance metric calculations.
- Added `BacktestMixin` for strategies to support backtesting-related operations.
- Extended BAA strategy to support backtesting with ticker data download and portfolio simulation.
- Updated `urls.py` to include the new backtesting endpoint.
- Enhanced logging and error handling throughout the backtesting process.
- Django 5.2.7 project with Python 3.13+
- Quant strategy management system with version control
- Strategy implementations using registry pattern
- API endpoints for strategy listing and execution
- Sample strategy implementations (MovingAverage, RSI, BollingerBand)
- Async strategy execution with status tracking
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
