Educational content only — not financial advice

Most edges fail validation. That is the process working.

PROVENT5 · 2.5h · Technical Track

Reading results honestly — metrics, decay, when to kill

What each metric hides, how alpha decays, and the statistical bar an edge must clear before capital.

In this module

  1. Why this module exists
  2. The metrics that actually matter
  3. Sample size and statistical significance
  4. Equity curve forensics
  5. Interpreting decay (IS → OOS)
  6. When to kill an edge
  7. When to promote toward PROVEN / DEPLOYED
  8. Where FreqEdge and the Quant Agent help
  9. Key takeaways
Practice

Coming soon

This module is being written. Foundations is available now.

See how this runs on a private server

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Educational content only — not financial advice.

Educational content only — not financial advice.