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
6 lines
63 B
Plaintext
6 lines
63 B
Plaintext
/target
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/data/*.csv
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/data/*.parquet
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/results/*.json
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Cargo.lock
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