About Sliego Technologies

We believe every trader deserves the same intelligence that was once reserved for institutional desks.

Our Mission

Sliego Technologies LTD was founded with a single conviction: the gap between retail and institutional trading intelligence is artificial and unnecessary. With modern AI, real-time data feeds, and well-engineered scoring algorithms, independent traders can access the same caliber of analytics that hedge funds spend millions building in-house.

We built Sliego to close that gap. Five proprietary scoring engines cover every major asset class — Stocks, ETFs, Options, Crypto, and Prediction Markets. Each engine is enriched with a Professional Intelligence Layer that goes beyond numbers to provide institutional-grade context: IV classification, market regime detection, economic cycle mapping, and strategy recommendation matrices.

What We've Built

Over 198,000 lines of TypeScript power a platform with 214+ features across 27 sections. From real-time stock screeners to AI-powered advisor briefings, from paper trading simulators to live broker execution with Binance and Interactive Brokers — Sliego is a complete trading operating system.

We've also built what we believe is the most comprehensive Strategy Marketplace for independent traders — with copy trading, model portfolios, drift detection, and 5 subscription modes so you control exactly how automated your trading becomes.

Our Technology

Sliego runs on Next.js 16 with TypeScript, Tailwind CSS v4, Prisma v7, and PostgreSQL. Real-time data flows through Finnhub, CoinGecko, CoinMarketCap, and Polymarket APIs. Live updates are delivered via Server-Sent Events and Binance WebSockets. Broker credentials are encrypted with AES-256-GCM, and all authentication uses JWT with httpOnly cookies and SMS OTP verification.

The Company

Sliego Technologies LTD is a financial technology company focused on AI-powered trading intelligence. We're building the platform we always wanted to use — fast, comprehensive, and honest about what the data says.

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