AEGIS - Explainable Research Infrastructure - Sell Project

AEGIS is a pre-revenue Python codebase for explainable quantitative research and controlled execution. It provides deterministic data preparation, parameter-locked research, multiple-testing-aware evaluation, out-of-sample checks, cost and stress testing, provenance, durable ledgers, replay safety, risk controls, and explicit promotion gates. The system is not being marketed as a profitable trading bot. Its latest controlled decision is RESEARCHNOGO because the evidence did not justify promotion to shadow or live use. That visible refusal is part of the product: AEGIS is designed to fail closed instead of hiding weak evidence. The sanitized buyer package records 1,619 passing tests, 0 failures, 1 environment-based deselection, and 682 subtests. Static checks are clean. There is no live trading record, customer revenue, guaranteed return, or claim of proven edge. The exclusive sale includes an agreed, reviewed, sanitized source snapshot, transferable documentation, deterministic tests, a buyer handover runbook, buyer-safe aggregate evidence, and a SHA-256 manifest. It excludes accounts, credentials, tokens, live brokerage connections, databases, private datasets, personal data, unsanitized repository history, domains, and continued hosting. Transfer follows written terms and protected payment. Commercial status: USD 0 revenue, 0 customers, and 0 live deployments. A buyer should independently validate research assumptions and complete any regulatory, security, and production-readiness work before use.