Metavulus.ai

The AI trading desk that turns market chaos into disciplined trade plans.

Metavulus.ai is being built as the intelligence layer for market prep, trade validation, crypto narratives, journal review, and learning recommendations. Not a signal bot. Not a promise machine. A disciplined decision layer for serious traders.

For education and research only. Not financial advice. AI-generated analysis may be wrong; verify data and manage risk.

Product wedge

Competitors own data. We own the trader decision loop.

The sticky feature is not “ask AI anything.” The sticky feature is a loop: market signal → thesis → checklist → risk → execution plan → journal → review → improvement.

Before trading

What matters today, where risk is dangerous, and which assets deserve focus.

During planning

Does this setup match ATS, where is invalidation, and should I wait?

After execution

Why did this trade win/lose, what rule broke, and what should I study next?

For the company

Community questions, user feedback, and market research become roadmap intelligence.

Intelligence modules

Built one module at a time, with premium retention in mind.

Habit loop

FreeLive foundation

Daily Market Desk

A WIB-first morning desk that compresses macro, FX, gold, indices, and crypto into what matters today.

Users start the day with bias, danger windows, assets to watch, and no-trade zones.

Setup validator

ProNext build

Trade Plan Assistant

A structured assistant for symbol, timeframe, thesis, invalidation, risk, and ATS alignment.

Users get a trade / wait / avoid verdict without fake certainty or signal-bot framing.

Retention moat

ElitePlanned

Journal Review AI

Private review over user journals and checklists with explicit consent, focused on repeated mistakes and next study step.

Users discover why they keep losing, what rules they break, and what to improve this week.

Alpha desk

ProNext build

Crypto Narrative Engine

Narrative, liquidity, Dune/on-chain, perps, and catalyst research converted into watch/trade/avoid cards.

Users see which crypto stories are tradeable and which are only noisy mindshare.

Company memory

ElitePlanned

Community Intelligence Loop

Community questions, feedback, support issues, and high-quality analysis become lessons, FAQs, and product tickets.

The product learns from users every week instead of letting feedback disappear in chat.

Assistant workflows

The prompts should feel like trading workflow, not chatbot novelty.

Plan this trade

I want to long XAUUSD on M15. What needs to confirm before entry?

Market contextATS checklistInvalidationRisk notesVerdict: trade / wait / avoid

Guardrail: Automated educational response. Strong calls or public posts require approval.

Why did this trade fail?

Review my BTC trade and screenshot. I entered after breakout and got stopped.

Setup diagnosisTiming issueRule complianceMistake patternNext lesson

Guardrail: Requires user consent to inspect private journal/screenshot data.

What matters today?

Give me today’s market map before London session.

Top 3 driversDanger windowsAssets to watchNo-trade zonesExecution windows

Guardrail: Can run automatically with citations and freshness labels.

Is this crypto narrative tradeable?

AI coins are trending again. Which ones are worth watching and what is the risk?

Narrative stageLiquidity confirmationToken cardsCatalystsAvoid list

Guardrail: Token recommendations and restricted data need compliance/human review before publishing.

Memory + source discipline

Every answer needs source, visibility, and freshness.

Metavulus lessons + ATS concepts

ready · public

Explain concepts, recommend lessons, and connect market conditions to education.

Guardrail: Answers must cite lessons or clearly say when a concept is general market education.

Daily / weekly research archive

ready · member

Retrieve prior bias, scenario maps, levels, and post-market lessons.

Guardrail: Old research must be labeled archival or stale, never treated as current market context.

Economic calendar

ready · public

Warn users about CPI, NFP, FOMC, rate decisions, and dangerous trading windows in WIB.

Guardrail: Display event time, source, and whether actual data is supported by the feed.

Crypto research hub

ready · public

Surface narratives, Dune tracks, token cards, source stack, and source freshness discipline.

Guardrail: Public crypto research must transform restricted inputs and avoid raw proprietary labels.

User journals + checklists

planned · private

Detect repeated mistakes, rule violations, bad timing, and personalized study priorities.

Guardrail: Requires explicit user consent per workflow. Never used in public answers or community output.

Community questions + feedback

planned · internal

Find confusion clusters, content opportunities, support friction, and roadmap signals.

Guardrail: Aggregate and anonymize by default. Do not expose individual messages without consent.

Nansen / Arkham-style smart-flow inputs

restricted · internal

Internal research signal for smart-flow clusters and token risk context.

Guardrail: No raw labels, rankings, wallet lists, or provider dashboard mimicry unless license allows it.

Premium path

Free builds habit. Pro validates trades. Elite improves the trader.

Free

Early members and curious traders

Rp 0

  • Delayed daily brief
  • Limited asset pages
  • Weekly public recap
  • Education links
  • Basic market warnings

Pro

Serious retail traders

Rp149k–299k/mo

  • Full daily desk
  • Trade Plan Assistant
  • All core asset pages
  • Calendar danger alerts
  • Saved plans
  • Crypto narrative desk

Elite

Committed / prop-style traders

Rp499k–999k/mo

  • Chart screenshot review
  • Weekly journal review
  • Personal risk guardian
  • Advanced alerts
  • Live class archive
  • Prop risk tools

Operating principles

Built for trust before automation.

Decision context beats raw data.

Every trading answer needs risk, invalidation, and uncertainty.

Freshness labels are mandatory for market-sensitive claims.

Private journals are user-owned and consent-gated.

Restricted third-party data is internal input until compliance says otherwise.

Metavulus.ai teaches discipline; it does not promise profits.