feat: Add OneChart score reconstruction research files and validation results
- Introduced new JSON files for normalized and raw inputs, source metadata, and public inputs. - Added findings document detailing the methodology and results of the score reconstruction. - Included member differences and worked examples for clarity on data discrepancies. - Implemented a Python script for reproducing scores based on public inputs. - Created SQL for raw reaggregation of data. - Added task metadata for tracking the research completion and validation metrics.
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{
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"id": "onechart-score-reconstruction",
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"name": "onechart-score-reconstruction",
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"title": "还原 OneChart 波段与单日资金流评分",
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"description": "只读数值还原 OneChart 单日与波段资金评分;12 日 9492 条公开样本精确重现,并完成 PostgreSQL 原始快照对照。",
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"status": "completed",
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"dev_type": null,
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"scope": null,
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"package": null,
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"priority": "P2",
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"creator": "yuxuanhui",
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"assignee": "yuxuanhui",
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"createdAt": "2026-09-21",
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"completedAt": "2026-09-21",
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"branch": null,
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"base_branch": "main",
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"worktree_path": null,
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"commit": null,
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"pr_url": null,
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"subtasks": [],
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"children": [],
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"parent": null,
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"relatedFiles": [],
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"notes": "研究完成。没有实施产品修改、修改数据库、共享规格推广或提交。输入版本与成员口径差异详见 research/database-validation.md。",
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"meta": {
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"work_kind": "read_only_research",
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"public_validation_rows": 9492,
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"public_score_max_abs_error": 3.410605131648481e-13,
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"database_latest_rows": 791,
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"database_ratio_mae": 0.9783318452555938,
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"database_swing_mae": 1.9075528008117222
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}
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}
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