TradeGuard AI

TradeGuard AI is an autonomous multi-agent system that audits trading strategies for risk exposure and FTMO prop firm compliance. Paste a strategy or EA config, get a full professional audit in 50 seconds. THE PROBLEM FTMO and similar prop trading challenges have a 90%+ failure rate. Most traders fail not because their edge is bad, but because they violate risk rules: daily loss limits, max drawdown caps, leverage exposure. Manual self-audit is full of blind spots. A trading coach costs hundreds. TradeGuard delivers that audit in 50 seconds, free, on AMD compute. THE ARCHITECTURE Built as a true LangGraph multi-agent pipeline — not a single-prompt chatbot. Four specialized LLM nodes pass structured state: 1. Parser — extracts trading params from natural language 2. Risk Analyzer — scores position sizing, drawdown, leverage, R:R 3. FTMO Compliance — validates against real prop firm rules (5% daily loss, 10% max DD) 4. Recommendations — generates prioritized actionable fixes A final assembler combines outputs into a structured report with risk score, compliance score, FTMO readiness, and ranked corrections. THE STACK Qwen 2.5 72B Instruct running on AMD Instinct MI300X (192GB VRAM) via ROCm 7.2 + vLLM 0.17.1. FastAPI backend, React+Vite frontend on Vercel, Cloudflare Tunnel bridging the AMD VM. Full pipeline runs in ~48 seconds end-to-end. BUSINESS VALUE Prop trading is a $10B+ industry in annual challenge fees. Even a freemium SaaS capturing a fraction (free audits, paid backtesting) is viable. The same agent architecture extends to compliance-driven domains: regulatory checks, code audits, contract review. ORIGINALITY No existing tool combines structured multi-agent reasoning with prop-firm-specific compliance rules in a clean, demo-ready interface. Built fully on AMD Developer Cloud during the hackathon. MIT licensed. Live: tradeguard-ai.vercel.app Code: github.com/Makabeez/tradeguard-ai