A next-generation market intelligence platform that transforms raw financial data into actionable context for discretionary traders, combining real-time quantitative analysis, AI-driven pattern recognition, and geopolitical monitoring into a single unified ecosystem.
Sattoro Hub bridges the gap between institutional-grade analytics and independent traders. The platform processes live market feeds through 12 parallel analytical engines, applies cross-engine confluence scoring, and delivers interpreted market context - not signals - through a tiered SaaS model. An AI journal learns each trader's behavioral patterns and delivers personalized performance insights, while a screenshot analysis system powered by Claude API lets users get instant chart interpretation from natural conversation.
Highlights:
Full-stack architecture built with Next.js, React, FastAPI, Python, and WebSocket streaming for real-time data processing across multiple asset classes
AI-powered trading journal with Claude API integration for screenshot analysis, behavioral pattern detection, and weekly personalized performance digests
Real-time geopolitical intelligence layer monitoring global disruption, presidential social media impact scoring, and FRED macroeconomic indicators
Multi-tenant SaaS architecture with Supabase (PostgreSQL), Stripe subscription management, role-based access control, and Telegram bot alert delivery
Confluence scoring system that cross-validates 12 independent engines and delivers multi-timeframe market context with trap detection and opportunity ranking
Containerized deployment on Vercel with CI/CD, environment-based configuration, and graceful degradation for all external data dependencies