Trading Brain North Star V3

Trading Brain

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.

Operational rule: no provenance, no trust. No measured outcome, no proof. No human approval, no capital action.
Trading Brain Cockpit
Reviewable · Trust checks open
North Star V3 · Product Readiness
0.30
Outcome-proven research
0.20
Evidence / provenance
0.15
Learning-loop advancement
Trading Brain Today
4 review-ready
Evidence cards generated · human decision required
review
3 trust warnings
Provenance, outcome source-chain, confidence caps below L4
work
No-Action Learning
NA

Missed opportunities become research tasks. Risk-gate saves become guardrail evidence. Pipeline failures route to ops, not strategy scoring.

Source → claim → candidate → shadow decision/no-action → outcome → scoreboard → review authority. No collapsed steps.
No provenance, no trust
Source, claim, candidate, decision, outcome, and scoreboard links are visible before review.
No measured outcome, no proof
Shadow decisions and no-actions are scored against forward outcomes, not self-reported confidence.
No ops loop, no product readiness
Incidents, support tickets, alerts, and safe repair evidence become part of product maturity.
No human approval, no capital action
The system can research and review. It cannot approve, submit, or promote live capital by itself.

The reviewable learning loop

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.

01

Capture sources

Curated social, SEC filings, company IR, transcripts, market facts, and research notes enter with source type, trust policy, and confidence cap.

02

Extract claims

Sources become explicit claims, validations, topic signals, and evidence gaps. Unverified discovery remains capped.

03

Commit shadow decisions

Candidates and no-actions are recorded before outcomes are known. Broker, order, draft, approval, and live mutation remain blocked.

04

Label outcomes

Forward returns, MAE/MFE, target hits, invalidation hits, missed opportunities, and risk-gate saves become measured evidence.

05

Build evidence cards

Review items carry source provenance, outcomes, scoreboard rows, calibration buckets, no-action context, and why not auto-promote.

06

Operator review

You approve, reject, or defer the review packet. Live capital still requires explicit human authority and lane policy.

What the product now surfaces

The homepage, cockpit, and support layer now speak the same product language: reviewable proof, explicit gaps, and capital authority that never moves silently.

Trading Brain Today Reviewable · warning
4 new sources · 12 candidates · 4 review-ready
Provenance complete chain: 67% · 5 rows need backfill
Outcome source-chain: 0% · confidence cap visible: 0/48

Reviewable is not the same as ready

The top card can show progress and still mark the system below L4 when provenance, outcome feedback, or cap visibility are incomplete.

Promotion Review Human decision required
Decision-ready: 4 · not review-ready: 8
Credited source coverage: direct or corroborating
Posture: approve / reject / defer, with reason captured

Evidence card before promotion

Review rows expose credited sources, evidence gaps, scoreboard support, action plan, and why the system cannot auto-promote.

No-Action Breakdown Learning asset
Correct waiting4
Missed opportunity3
Risk gate saved2

No-action is first-class memory

Blocked or deferred actions are not lost. They become research tasks, guardrail evidence, or ops incidents.

Why Trading Brain is structurally different

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.

Evidence before confidence

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.

Outcome feedback before evolution

Shadow decisions, no-actions, and human review outcomes feed source, theme, strategy, and process scoreboards. No result feedback, no evolution.

Operability before product readiness

North Star V3 includes ops incidents, support tickets, notification traceability, safe repair evidence, redaction, and capital-boundary discipline.

North Star V3 scoring buckets

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.

0.30
Outcome-proven research quality
0.20
Evidence / provenance completeness
0.15
Learning-loop advancement
0.15
TradingAgent-wide operability
0.10
Customer support / user operability
0.10
Safety / authority discipline

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.

How to read V3

A review-ready item can still carry a warning if provenance, source-chain feedback, or cap visibility is below the L4 bar.
Evidence cards separate direct credited sources from corroborating sources and mark gaps explicitly.
No-action events are classified into correct waiting, missed opportunity, risk gate saved, operational constraint, and pipeline failure.
Ops and support artifacts are product signals. A system that cannot explain incidents and user issues is not product-ready.
Review the full methodology

The non-negotiable boundary

The system can: capture sources, extract claims, generate candidates, write shadow decisions and no-actions, score outcomes, build evidence cards, produce review plans, and surface ops/support readiness.
The system cannot: submit broker orders, create execution drafts, approve trades, promote strategies into production, mutate production config, expand risk budget, or write live state into durable memory.
Trading Brain by ARIA is decision-support software, not a registered investment advisor or broker-dealer. Trading involves risk of loss. Final responsibility for approval, execution, and risk stays with you.

Start with Telegram. Inspect the proof in Web.

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.