TraideFinder – AI Stock and Crypto Market Scanner
An AI market scanner that finds smart money setups across crypto and US stocks and explains each trade idea.

- Industries
- Platforms
- Web
- Built with
- React
- Next.js
The project
TraideFinder is an AI-powered market analytics platform for traders. It scans crypto and US stock markets in real time, detects chart patterns and Smart Money Concepts setups, and turns them into trade ideas with an entry zone, an invalidation level, price targets and a confidence score. Each setup is explained in plain language, alongside buy and sell alerts, live news and performance tracking, so beginners and experienced traders can make their own informed decisions. We built the platform in Next.js and React, including the early access launch site.
The challenge
- Reading smart money structure across many charts takes hours of manual analysis.
- Signals from most tools arrive without the reasoning, levels or risk behind them.
- Traders switched between charting tools, scanners and news sites to research a single trade.
What we built
- A real-time scanner that monitors live markets for chart patterns and smart money setups.
- AI analysis that explains each setup and lists the signals supporting it.
- Setup cards with entry zone, invalidation, targets and a confidence score.
- Buy and sell alerts, live news and performance tracking in one dashboard.
- A launch site that collects early access sign-ups by email.
Screens
Key features
Market scanner
Scans crypto and US stock markets in real time for tradeable setups.
Smart money analysis
Detects Smart Money Concepts patterns such as fair value gaps and liquidity sweeps.
Plain-language explanations
The AI describes why each setup matters and which signals support it.
Entries, targets and risk
Every setup shows its entry zone, invalidation level, targets and risk-to-reward.
Live trade alerts
Buy and sell alerts as new setups appear on the markets a trader follows.
Performance tracking
Traders review how past setups and signals performed over time.




