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Add PnL fee comparison tool with dual-plot visualization

Summary

Adds a new standalone script pnl_fee_comparison.py that generates dual-plot time-series visualizations comparing cumulative PnL with 0% fees (current) vs 0.05% taker fees. The tool creates professional dark-themed charts showing the impact of taker fees on trading performance over time.

Key features:

  • Identifies taker trades using the is_maker_ask field from Trade model
  • Calculates cumulative PnL with simplified position tracking logic
  • Generates matplotlib visualizations with configurable time ranges
  • Outputs summary statistics including total fee impact
  • Command-line interface for easy usage

Generated visualization example

Review & Testing Checklist for Human

Risk Level: 🟡 Medium - Core functionality works but uses sample data and simplified logic

  • Verify taker identification logic: Test that is_maker_ask field correctly identifies taker vs maker sides in real trade data
  • Test with real trade data: The current implementation uses get_sample_trades() - needs integration with actual data fetching system from provided attachments
  • Validate PnL calculation: The simplified PnL logic may not match your production PnL calculation - compare outputs with existing system
  • Check L1 address handling: Script stores L1 addresses in Trade.additional_properties - verify this works with your real Trade objects
  • Test new dependencies: Ensure matplotlib/pandas/numpy versions are compatible with existing system

Notes

- Creates time-series PnL comparison showing 0% fees vs 0.05% taker fees
- Identifies taker trades using is_maker_ask field from Trade model
- Generates dual-plot visualization with matplotlib in dark theme
- Configurable time ranges and output file options
- Includes summary statistics and fee impact analysis
- Uses sample trade data generation for testing
- Updates requirements.txt with matplotlib, pandas, numpy dependencies
- Adds comprehensive README documentation with usage examples

Co-Authored-By: [email protected] <[email protected]>
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🤖 Devin AI Engineer

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- Lower matplotlib requirement from >=3.10.0 to >=3.5.0 for Python 3.9 compatibility
- Lower pandas requirement from >=2.3.0 to >=1.3.0 for broader compatibility
- Lower numpy requirement from >=2.3.0 to >=1.21.0 for broader compatibility
- Ensures CI builds pass on all supported Python versions (3.8, 3.9, 3.10, 3.11)

Co-Authored-By: [email protected] <[email protected]>
@aonut17 aonut17 closed this Sep 10, 2025
@aonut17 aonut17 deleted the devin/1757472657-add-taker-fee-pnl-comparison branch September 10, 2025 03:06
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2 participants