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Implement Original Meta calculations in the browser with Python parity

2026-07-30T05:04:22Z Strategy implementation done Ported annual Original Meta scoring, covariance/ERC/min-correlation weighting, dated asset aggregation, lagged returns, progress/cancella...
t342
Reconstructed — uncertain: some details inferred from git history/artifacts and marked below. Unsupported details omitted.

Objective

Implement Original Meta calculations in the browser with Python parity.

Notes: Ported annual Original Meta scoring, covariance/ERC/min-correlation weighting, dated asset aggregation, lagged returns, progress/cancellation, and revision metadata to the production worker. Python/Node parity plus engine tests pass (36 tests). UI exception documented; t343 owns complete report/page integration after t345 gates.

Approach

[reconstructed — uncertain] No dedicated findings Markdown located for t342. Summary reconstructed from research/findings/task-history.json entry and git history. Uncertain fields: detailed approach, exact file list, and metrics beyond the task note.

Files / code / data changed

Results

Task note: Ported annual Original Meta scoring, covariance/ERC/min-correlation weighting, dated asset aggregation, lagged returns, progress/cancellation, and revision metadata to the production worker. Python/Node parity plus engine tests pass (36 tests). UI exception documented; t343 owns complete report/page integration after t345 gates. [reconstructed — uncertain] No quantitative tables recovered for this entry; see git diff and task-history for grounds.

Conclusions

Ported annual Original Meta scoring, covariance/ERC/min-correlation weighting, dated asset aggregation, lagged returns, progress/cancellation, and revision metadata to the production worker. Python/Node parity plus engine tests pass (36 tests). UI exception documented; t343 owns complete report/page integration after t345 gates.

Problems / follow-ups

Links

Source artifact: research/results/t342.md