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MOSAIC DESIGNS
OUR OWN PRODUCTAI PRODUCT

Trader’s Mirror.

The trading journal that listens.

CLIENT
Our own product
SECTOR
Fintech · Trading
STATUS
Private beta
OUR ROLE
Product design, full-stack & AI
PLATFORM
Web app
STACK
Speech-to-text · LLMs · Full-stack
Trader’s Mirror landing page: Talk it out. Mira hears it.
01 — THE BUSINESS & ITS PROBLEM

Trader’s Mirror is our own AI trading journal, built for forex, crypto and prop-firm traders who want to judge the quality of their decisions — not just their profit and loss. Most traders know they should journal, but logging every trade, the emotions behind it and the rules they broke takes time, so the habit rarely sticks. Trader’s Mirror replaces the forms with a voice note: talk through the trade and Mira turns it into structured data and a behavioural review. It is about discipline and execution, never trading signals.

02 — PROBLEM STATEMENT

How might we make honest trade reflection effortless — and turn it into measurable behavioural insight?

03 — WHAT WE DID

Traders talk through a trade the moment it closes. Mira, the AI assistant, extracts the details, scores seven behaviour KPIs and tracks rules across projects and challenges — no forms, no advice, just an honest mirror.

04 — VALUE ADDED
VoiceA spoken reflection after each trade replaces a long journal form.
7 KPIsEvery trade gets seven behaviour scores, an overall execution score, strengths and areas to improve.
BetaLive in private beta: traders group trades by project or challenge and track discipline and rule breaks over time.
05 — TECHNICAL NOTES
Speech-to-textLLMsFull-stack
  • Speech-to-text — spoken reflections are transcribed before any analysis runs.
  • LLM analysis — LLM workflows extract structured trade details, assess behaviour and write the review.
  • Project-level context — trades, rules, violations and performance history are organised around each trading project.
  • AI cost visibility — every model call is logged with its cost, and a credit system keeps usage visible.
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