Evolutionary Trading Algo

public memory

Sage

The adversarial intelligence layer. Sage preserves dissent, failed hypotheses, and research context so ETA records why it waited before it records why a route was allowed. The stream below publishes public-safe memory.

Research court

The queue, then the archive.

Every candidate faces the same court. The queue counts what is under challenge right now; the decision archive keeps the rulings — including the ones that said no.

CandidatesQueued

Published with the ops snapshot

Evidence contractsReview

Published with the ops snapshot

Blocked inputsReview

Published with the ops snapshot

Live status → Ops

Decision archive

  1. Canonical edge evidence: live capital now requires broker-backed proof

    The launch path was narrowed to one binding rule: an edge must prove itself on broker-backed paper-live fills, then clear `canonical_edge_evidence` with at least 200 broker closes, profit factor at least 1.30, positive realized outcome, receipt matching, and positive edge. The old prop screen is now diagnostic only.

  2. Private edge-engine persistence: observe-only memory for research decisions

    ETA added an isolated memory lane for edge-engine decisions: scoped records tables, protected review views, operator research status, and ops cards behind the control gate. The writer is observe-only/default-off and keeps sensitive action fields off the public surface.

  3. Autonomous research canon: event spine, corpus guard, and supercharge rules

    The June 12 canon consolidated the architecture rules for the next ETA: event bus first, one authoritative model per concept, statistical governance by default, legacy lanes marked for retirement, and edge-lab corpus guards so contaminated data cannot silently drive decisions.

  4. Wave-25 prop-launch infrastructure: the honest NO-GO verdict

    Wave-25 built the prop-launch and paper-live infrastructure, then produced the more important result: an honest NO-GO for the 2026-05-18 BluSky $50K evaluation. The system could observe, route, and report; it still did not have enough broker-backed edge evidence to justify promotion.

  5. Wave-19 Force Multiplier: five-role AI coordination with cost and fallback controls

    The Force Multiplier layer became a five-role coordination system: Codex as lead architect, DeepSeek as high-volume worker, Gemini as second opinion and long-context lane, Hermes as operator bridge, and Claude as a disabled legacy lane. It routes development and ops work; it never owns broker connections or order routers.

  6. Fleet baselines: 5 strategies cleared the strict walk-forward gate

    In one engineering iteration the production fleet went from 2 to 5 promoted strategies -" MNQ ORB, NQ ORB, BTC crypto_orb (5y re-baseline), ETH crypto_orb, and NQ daily DRB. Every promotion is IS+ AND OOS+ on real walk-forward data with explicit per-fold accounting.

Archive entries are published research records. Restricted decision traces, prompts, and journals stay off page.

Dissent protocol

A better system remembers its no decisions.

Adversarial reviewChallenge

Sage tests whether a signal, route, or research claim is weaker than it looks.

Failure memoryPreserve

Rejected setups and failed ideas remain useful evidence instead of disappearing.

Research contextSeparate

Market context and thesis work stay separate from execution permission.

  • Record why ETA waited before recording why it acted.
  • Treat uncertainty as a state, not a problem to hide.
  • Keep research synthesis outside the order-entry boundary.