|
|
025322219c
|
feat: initial commit with code quality refactoring
kalshi prediction market backtesting framework with:
- trading pipeline (sources, filters, scorers, selectors)
- position sizing with kelly criterion
- multiple scoring strategies (momentum, mean reversion, etc)
- random baseline for comparison
refactoring includes:
- extract shared resolve_closed_positions() function
- reduce RandomBaseline::run() nesting with helper functions
- move MarketCandidate Default impl to types.rs
- add explanatory comments to complex logic
|
2026-01-21 09:32:12 -07:00 |
|
