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TraderVault LM

Trading intelligence built the way traders think

Discovery, design, branding, scoping complete · MVP in development · copy-trading proof of concept built alongside
Role
End-to-end product design
Discipline
Strategy · UI · AI
Platform
Web
Focus
Fintech · trading
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TraderVault LM dashboard — pattern surfacing, probability read, and journal in one view

Problem

Active traders build on instinct. A setup forms, they hesitate, and by the time they've decided the move is gone — then it happens again.

Most trading tools pile on more data — more indicators, more news, more scans — when the problem was never a data shortage. It was that no one surfaced the right pattern in the moment it mattered, and no one framed the odds honestly.

There is a second problem underneath that: a trading tool a trader doesn't open every session is dead. The daily habit has to be built into the product, not marketed onto it.

Approach

The founder has traded actively for 25+ years. Instead of running a market study, I used Intent-Centered Design against his lived expertise — sitting inside how a working trader actually decides, where the cognitive load builds, and what would earn a place in the daily routine before I drew a screen.

The system is Reactive — it stays ahead of the trader by watching the session and surfacing the pattern the moment it forms, not after the setup has already passed. Probability sits alongside the chart. Every signal traces back to what triggered it. The trader can override any call and know exactly why the system made it.

What it does

  • Stays ahead of the trader — surfaces the setup the moment it forms, not after it has already run.

  • Explainability by default — every signal traces back to what triggered it, so the trader can inspect the call, not just take it.

  • Transparent under pressure — says "I'm not sure" on low-confidence reads, and treats high-confidence differently because of it.

  • Personalization that persists — the trader's own journal becomes feedback the system uses to sharpen the next call.

  • Defers to the human at the right moment — the trader can override any call and know exactly why the system made it.

Quick look

TraderVault LM — main dashboard with pattern surfacing
TraderVault LM — trade setup card with probability read
TraderVault LM — signal timeline across a session
TraderVault LM — journal entry linked to pattern outcome
TraderVault LM — performance analytics view
Stack: Next.js · TypeScript · Supabase · Vercel · Claude via MCP
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david.cervantes AI product leader, designer, and strategist
Available for select contract engagements