Nicholai
025322219c
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
1 line
229 B
JSON
1 line
229 B
JSON
{"markets_cursor": "CgsI-rDDywYQkKOiMRI5S1hNVkVTUE9SVFNNVUxUSUdBTUVFWFRFTkRFRC1TMjAyNTBDMDMzMDBBRkYyLTkxNTVFNjFERTk3", "markets_count": 25000, "trades_cursor": null, "trades_count": 0, "markets_done": false, "trades_done": false} |