506 quantitative primitives. Natural language interface. What would cost $1M+ to build, accessible via conversation.
Agencio Predict is a decision-intelligence terminal that fuses prediction markets, market derivatives, macro data, and sentiment into one explainable probability layer.
Seven integrated systems working together
Institutional-grade math: volatility models, factor analysis, pairs trading, microstructure.
Natural language to trading strategy. LLM Jury system. 9 anti-hallucination defenses.
Paper and live trading across 5 brokers. Mock credit default. MFA-gated live.
Unified AI orchestration across 16 data source categories. Black swan detection.
Autonomous multi-strategy fund management. NAV tracking. Automatic rebalancing.
Stop-loss hunting, spoofing, wash trading, pump & dump. Real-time L2 monitoring.
These aren't basic indicators. This is the same math used by quantitative hedge funds and prop trading desks — now accessible via natural language instead of requiring a PhD and $500K in development.
Real-time feeds from prediction markets, exchanges, social platforms, and macro sources
The combination that doesn't exist elsewhere
"Buy when NVDA is cointegrated with AMD and the spread z-score is below -2" becomes executable strategy instantly.
LLM Jury records every proposal, critique, and decision. Rejection logs. EOD critic reviews. Full compliance trail.
No eval(). No arbitrary code. Primitives are whitelisted. LLMs cannot invent functions. asOf-frozen context prevents look-ahead.
Polymarket, Kalshi, Metaculus probability feeds as trading signals. Wallet clustering for fraud detection. Smart money consensus.
Production-ready architecture
TypeScript clean across 4 packages. Next.js 14 App Router. Vercel + AWS EC2.
PostgreSQL 16 with pgvector. 7 schemas. 270+ migrations. Redis caching.
430+ REST endpoints. JWT + Cognito auth. Rate limiting. RBAC with 8 roles.
Claude integration. BYOK support. Credit billing. Subscription + credits + BYOK modes.
Dive deeper into specific aspects of the platform