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Audit trading signals with verifiable pass/fail verdicts on methodology quality.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "alphaassay/mcp" yet — see the docs or source repo.
Audit the methodology of this trading signal, focusing on deflated Sharpe, out-of-sample performance, and data leakage risk, then return a verifiable pass/fail verdict.
Returns an audit result on the signal's methodological quality, stating whether it passed key tests.
I have a strategy research claim. Re-evaluate its credibility from a methodology-audit perspective, check for out-of-sample failure or information leakage, and output a signed-style verdict.
Provides an audit judgment on whether the research claim is credible, along with the main risk findings.
Audit this set of trading signals one by one, and summarize whether each passes deflated Sharpe, out-of-sample testing, and leakage forensics.
Outputs pass/fail results for each signal so their methodological reliability can be compared.
Data analysts or researchers can use it to audit trading signals before deeper strategy work, filtering out statistically weak or potentially leaked signals.
When a team receives external research or strategy marketing material, it can use this tool to check whether the methodology survives out-of-sample and leakage tests, avoiding mistaking noise for signal.
Developers or researchers can use it to produce clear pass/fail audit verdicts so others can verify how a signal was evaluated.
It audits the methodological quality of trading signals rather than giving investment advice. It focuses on deflated Sharpe, out-of-sample testing, and data leakage forensics, then returns verifiable pass/fail verdicts.
No. The description explicitly says it performs methodology audits, not investment advice.
The provided materials do not include installation steps, runtime requirements, or key information. Please see the source repository for details.
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