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Investigate and implement a turbulence-index strategy

2026-07-30T09:03:03Z Strategy implementation done Audited the 2022 Portfolio Optimizer article and documented its defined seven-asset weekly normalized Mahalanobis statistic
t338

Source report: research/findings/turbulence-index-t338.md

Objective

Investigate and implement a turbulence-index strategy.

Notes: Audited the 2022 Portfolio Optimizer article and documented its defined seven-asset weekly normalized Mahalanobis statistic. Did not implement: the author explicitly withholds the history-to-exposure mapping and does not specify instruments or one estimation window, so parity cannot be validated. Added a strict lagged follow-up contract, singular/insufficient-history behavior, unblock criteria, and FEATURE_COMPLETION UI exception in research/findings/turbulence-index-t338.md.

Approach

Reuses existing report research/findings/turbulence-index-t338.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

Key table from source report (preserved):

ParameterArticle evidenceWhy it blocks implementation

| Seven return series | Asset-class labels only | Tickers, ind

Conclusions and metrics are in research/findings/turbulence-index-t338.md; see detail page for preserved tables/metrics.

Conclusions

[reconstructed — uncertain] Outcome inferred from status done and task note.

Problems / follow-ups

Links

Source artifact: research/results/t338.md