EdgeProof Quant Audit Kit — Stress-Test Your Trading Strategy with ChatGPT + Codex
Most back-tests fail for reasons that have nothing to do with the strategy idea.They fail because the test accidentally uses future information, assumes fills that could not have occurred, ignores spread and slippage, over-optimizes hundreds of variants, or repeatedly peeks at the "final" test period until it becomes another training set.Edge-Proof Quant Audit Kit gives you a repeatable way to challenge the evidence before you trust it.You receive:A practical audit manual in PDF and editable DOCX formA private, browser-only quick-audit app that runs locallyA formula-driven Excel scorecard with automatic classificationsEight reusable ChatGPT and Codex promptsA master repository-repair prompt for quantitative codebasesData-audit, cost-model, walk-forward, stress-test, and paper-trading templatesA frozen-research specification for protecting untouched testsA dependency-free Python audit utilityA synthetic worked exampleA custom-GPT instruction fileThe kit reviews eight dimensions: data integrity, chronology/leakage, execution realism, untouched out-of-sample evidence, statistical sufficiency, robustness, regime stability, and operational risk.It produces one of five classifications:DATA_STACK_INSUFFICIENT, RESEARCH_ONLY, PAPER_READY, LIVE_CANDIDATE, or REJECT.Built for independent systematic traders, Python researchers, students, and small quant teams working with futures, equities, crypto, options, or prediction markets.DeliveryInstant digital download. Includes PDF, DOCX, XLSX, HTML, Markdown, JSON, YAML, CSV, PNG, and Python files.Refund positioningBecause the files are delivered instantly, refunds should be limited to duplicate purchases or materially defective downloads, subject to the seller platform's policies and applicable law.EdgeProof is an educational research product. It does not provide trading signals, personalized investment advice, guaranteed returns, brokerage automation, or a promise that any strategy will be profitable. Backtests and simulations have inherent limitations.
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