- Introduced Taxes class in taxes.py to calculate and apply taxes on profits in backtest results.
- Updated main.py to include tax calculations in the results processing flow.
- Refactored trade logging in TrendDetectorSimple to account for transaction fees and ensure accurate profit calculations.
- Added a utility script (apply_taxes_to_file.py) for applying taxes to existing CSV files.
- Adjusted date range and timeframe settings in main.py for broader analysis.
- Added GSheetBatchPusher class to handle background updates to Google Sheets.
- Refactored write_results_per_combination function to write results directly to Google Sheets instead of CSV files.
- Updated process_timeframe function to handle single stop loss percentages.
- Introduced a global queue for batching results and trades for efficient updates.
- Enhanced error handling for Google Sheets API quota limits.
- Adjusted main execution flow to start the batch pusher and ensure all results are pushed after processing.
- Introduced BacktestCharts class in charts.py to plot profit ratio vs stop loss and average trade vs stop loss for different timeframes.
- Updated main.py to integrate new charting functionality and streamline data processing without monthly splits.
- Enhanced backtesting logic in TrendDetectorSimple to include transaction costs and improved stop loss handling using 1-minute data for accuracy.
- Added functionality to write results to individual CSV files for better organization and analysis.
