Muhammad Abdullah@Abdullah_445

When algorithmic trading happens, most people have no idea why their trades executed. You place an order and it fills — but the "why" remains a mystery. That's what we solved. TradeAudit AI is an autonomous agent that connects directly to Alpaca Paper Trading, detects every fill in real-time, and immediately explains it in plain English using Groq AI. No jargon. No confusion. Here's what it does: A trade happens on Alpaca → Our agent detects it via WebSocket → AI generates a human-friendly explanation → Risk score is calculated → Everything is saved to an audit database → Users can ask questions about their trades anytime. Example: User's trade: BUY 10 AAPL @ $200 = $2,000 Agent explains: "Apple was purchased to increase Technology sector exposure. The trade represents 8% of portfolio value, making it LOW risk." Users can also chat with the AI. Ask "Show me today's risky trades" or "Why did we buy Tesla?" and get instant answers from the audit history. We built three interfaces: - Web dashboard (React) with live portfolio, charts, and audit log - AI chatbot panel with natural conversation - Mobile app (Flutter) so traders can monitor on the go All powered by a single backend that orchestrates Alpaca API, Groq AI, SQLite database, and real-time WebSocket streaming. Why it matters: Transparency builds trust. In trading, that's everything.

🌎 Online Hackathon | 💻 Dates: 28 August–4 September 2026 | 🏆 $6,000 Prize Pool Build AI trading agents on Alpaca — autonomous agents and trading apps using Alpaca's Trading API, MCP server and CLI. 🌍 Fully online hackathon. Join and build from anywhere in the world.