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Implement Meta Walk-Forward: Max Sharpe

2026-07-26T14:33:43Z Strategy implementation done Implemented annual Max Sharpe approximation with 60m estimator, <=10 cap, 5% cutoff, lag, observed overrides; authenticated/persisted 643...
t184

Source report: research/findings/meta-max-sharpe-t184.md

Objective

Implement Meta Walk-Forward: Max Sharpe.

Notes: Implemented annual Max Sharpe approximation with 60m estimator, <=10 cap, 5% cutoff, lag, observed overrides; authenticated/persisted 643 target months + 18 current weight rows; SQLite-backed comparison corr 0.79369, MAE 0.00933.

Approach

Reuses existing report research/findings/meta-max-sharpe-t184.md — tables/metrics preserved verbatim via source_report pointer. Body below summarizes grounded evidence from that report and adjacent artifacts.

Files / code / data changed

Results

Conclusions and metrics are in research/findings/meta-max-sharpe-t184.md; see detail page for preserved tables/metrics.

Conclusions

Implemented annual Max Sharpe approximation with 60m estimator, <=10 cap, 5% cutoff, lag, observed overrides; authenticated/persisted 643 target months + 18 current weight rows; SQLite-backed comparison corr 0.79369, MAE 0.00933.

Problems / follow-ups

Links

Source artifact: research/results/t184.md