"I want to observe quality before committing."
Watch the free signal channel and review examples first. See how attention, evidence, and no-action are framed before you sign up.
Join free signal channel
Attention before action
See what deserves attention before capital moves.
Trading Brain turns sources, claims, watchlist changes, no-actions, outcomes, and risk context into reviewable trading decisions — while final capital authority stays with you. Your Personal AI Trading COO: evidence-linked, outcome-proven, human-gated.
Operational rule: no provenance, no trust. No measured outcome, no proof. No human approval, no capital action.
Today Attention
2
Need review now
3
Can wait — reason shown
1
Missing evidence — held
Trading Brain Today
4 review-ready
review
3 trust warnings
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.
Choose your workflow
Identify yourself in five seconds. Each path has one concrete output, one trust expectation, and one way to start — no methodology required first.
"I need evidence, not a one-line answer."
Trace source → claim → validation → evidence gap → review posture. Every candidate carries why it entered review and what is still missing.
Inspect the review flow"What changed and what needs my attention today?"
Today Attention plus risk, thesis, and watchlist changes — with a no-action memory of what was deferred and why. You approve; the system never moves capital on its own.
Start on TelegramThe 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.
Capture sources
Curated social, SEC filings, company IR, transcripts, market facts, and research notes enter with source type, trust policy, and confidence cap.
Extract claims
Sources become explicit claims, validations, topic signals, and evidence gaps. Unverified discovery remains capped.
Commit shadow decisions
Candidates and no-actions are recorded before outcomes are known. Broker, order, draft, approval, and live mutation remain blocked.
Label outcomes
Forward returns, MAE/MFE, target hits, invalidation hits, missed opportunities, and risk-gate saves become measured evidence.
Build evidence cards
Review items carry source provenance, outcomes, scoreboard rows, calibration buckets, no-action context, and why not auto-promote.
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.
Candidate Weekly Review
Green / Yellow / Red
SNOW / MDB / ZSYellow
Missing proof explicit3 cards
Green gatenot automatic promote
Weekly candidate review before promotion
Active research names move through Green / Yellow / Red reviews. Yellow keeps tracking, Green only prepares a human-reviewed proposal, and Red prepares a human-reviewed deprioritization path.
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 V4 scores 12 readiness dimensions — including ops incidents, support tickets, notification traceability, safe repair evidence, onboarding portability, and capital-boundary discipline.
North Star V4 · the Personal AI Trading COO readiness contract
V4 stops asking "is the research good?" and asks "is this product ready to be a trustworthy trading COO for a real person?" It scores 12 independent readiness dimensions — each reads from a specific evidence artifact, or its absence — with no weighted average to hide a weak dimension behind a strong one.
No measured result, no proof. No result feedback, no evolution. No verified capital boundary, no readiness — at all.
Evidence & provenance
Outcome proof
Daily / weekly workflow
Watchlist & portfolio relevance
Risk-review effectiveness
Source-validation discipline
Product-surface usability
Ops & support reliability
Skill / eval quality
Paid-beta readiness
Onboarding portability
Capital-boundary safety
The V2 research metrics — measured result quality, calibration, expectancy, drawdown control, evidence quality, robustness, concentration, and subordinate win rate — still run underneath, feeding the evidence and outcome dimensions. V4 wraps them in product readiness.
How to read V4
not_ready — fewer than half the dimensions have any signal yet.
collecting — half or more have signal, but not every minimum review output is present.
private_alpha_ready — all minimum review outputs present and the capital boundary is verified.
blocked — any artifact fails the no-broker / no-order / no-promotion check. Capital boundary trumps everything: one failure blocks the whole report.
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.