promotion-gate

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Evaluate promotion readiness from flywheel outputs using statistical and economic gates, then produce a concise go/no-go decision note.

Open-Quant By Open-Quant schedule Updated 3/4/2026

name: promotion-gate description: Evaluate promotion readiness from flywheel outputs using statistical and economic gates, then produce a concise go/no-go decision note.

Promotion Gate

Use this skill when deciding whether a strategy candidate moves from research iteration to deeper validation.

What this skill does

  1. Reads flywheel output (summary, promotion, costs).
  2. Verifies required gates:
    • realized Sharpe
    • net Sharpe
    • alignment guard
    • event ordering guard
  3. Produces a decision summary with blocking reasons.

Core APIs

  • openquant.research.run_flywheel_iteration(...)
  • openquant.pipeline.summarize_pipeline(...)

Decision contract

Required outputs:

  • promote_candidate (bool)
  • failed gate list
  • key metrics (realized_sharpe, net_sharpe, turnover, estimated_cost)
  • short rationale

Artifact source

  • decision.md and metrics.parquet in each experiment run folder.

Quality checks

uv run --python .venv/bin/python pytest python/tests/test_experiment_scaffold.py -q
Install via CLI
npx skills add https://github.com/Open-Quant/openquant --skill promotion-gate
Repository Details
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