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Case study · Trading decision-support (research tool)

Trade Vixion

A private trading research dashboard that forecasts 8 forex and crypto markets, records every prediction before the outcome, and grades itself honestly.

Live

DisclaimerResearch and decision-support tool. It does not place trades. Not financial advice. Past results do not guarantee future results.

Visit Trade Vixion

The problem

Most trading tools show signals without ever proving whether those signals work after real trading costs.

What I built

  • Watches 8 markets (gold, Bitcoin, Ethereum and 5 major forex pairs) across 9 timeframes with live prices
  • Two independent forecasting engines run side by side and are compared head to head
  • Every prediction is locked in a ledger before the outcome is known — nothing is edited afterwards
  • Grades every prediction automatically and scores it in profit after trading costs, not just win rate
  • Learns which model to trust on which market and timeframe, and refuses to signal where a model has a proven losing record
  • "WAIT" is a normal answer: it doesn't force a trade
  • Paper trading journal with position sizing; it never places real orders

How it's built

Node.js and MySQL backend with live market data feeds, an engine that analyzes the still-forming candle in real time, and a knowledge base of about 1,750 pattern rules.

  • OANDA & Binance data
  • Express
  • MySQL
  • React 19
  • TanStack Router
  • Google Gemini

My role · Designed, built, deployed and maintained solo with AI-assisted development (Claude Code).

Proof

  • Live private app at tradevixion.site
  • In replay testing on Bitcoin and Ethereum, it showed a modest positive edge after costs on 4-hour and daily charts — and no edge on 1–15 minute charts, which it reports honestly

Screenshots

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DisclaimerResearch and decision-support tool. It does not place trades. Not financial advice. Past results do not guarantee future results.