Capture sources
Curated social, SEC filings, company IR, transcripts, market facts, and research notes enter with source type, trust policy, and confidence cap.
Evidence-linked, outcome-proven, user-operable trading intelligence. It traces sources, claims, shadow decisions, no-actions, outcomes, scoreboards, ops readiness, and support loops so every important judgment can be reviewed before capital moves.
Missed opportunities become research tasks. Risk-gate saves become guardrail evidence. Pipeline failures route to ops, not strategy scoring.
Trading Brain does not collapse research into a trade. It preserves each source, claim, candidate, action/no-action, result, and operator decision so the next cycle can learn from evidence instead of activity volume.
Curated social, SEC filings, company IR, transcripts, market facts, and research notes enter with source type, trust policy, and confidence cap.
Sources become explicit claims, validations, topic signals, and evidence gaps. Unverified discovery remains capped.
Candidates and no-actions are recorded before outcomes are known. Broker, order, draft, approval, and live mutation remain blocked.
Forward returns, MAE/MFE, target hits, invalidation hits, missed opportunities, and risk-gate saves become measured evidence.
Review items carry source provenance, outcomes, scoreboard rows, calibration buckets, no-action context, and why not auto-promote.
You approve, reject, or defer the review packet. Live capital still requires explicit human authority and lane policy.
The homepage, cockpit, and support layer now speak the same product language: reviewable proof, explicit gaps, and capital authority that never moves silently.
The top card can show progress and still mark the system below L4 when provenance, outcome feedback, or cap visibility are incomplete.
Review rows expose credited sources, evidence gaps, scoreboard support, action plan, and why the system cannot auto-promote.
Blocked or deferred actions are not lost. They become research tasks, guardrail evidence, or ops incidents.
The point is not more signals or higher automation. The point is a product that can prove what it saw, what it did or refused to do, what happened next, and what still needs human judgment.
A confidence score without source provenance, credited evidence, and validation state is not treated as trust. Discovery can create a candidate; proof requires a chain.
Shadow decisions, no-actions, and human review outcomes feed source, theme, strategy, and process scoreboards. No result feedback, no evolution.
North Star V3 includes ops incidents, support tickets, notification traceability, safe repair evidence, redaction, and capital-boundary discipline.
Trading Brain now scores product maturity, not just research quality. Outcome proof remains the largest bucket, but provenance, learning loop, operability, support, and authority discipline decide whether the product is truly user-operable.
No measured result, no proof. No result feedback, no evolution. No reliable ops/support loop, no product readiness.
V2 metrics such as measured result quality, calibration, expectancy, drawdown, evidence quality, robustness, concentration, and subordinate win rate still exist inside the research and learning buckets. V3 adds product readiness.
Subscribe, receive alerts, and manage support through @AriaAlphaBot, or join @ariatradingsignals to observe the free signal channel first. Use the Web cockpit for evidence cards, no-action breakdown, provenance warnings, and review posture. Decide whether the system's discipline matches your own before any lane moves toward live capital.