MUHAMMAD ABDULLAH Khalid@_abdullahkhalid__

AEGIS v3.1 is an institutional-grade autonomous options trading desk built natively on Alpaca's Trading API. Unlike typical AI trading bots that open directional bets and walk away, AEGIS runs the complete Wheel strategy lifecycle — discover, sell premium, manage, hedge, and close — with zero human intervention. The system orchestrates five specialized agents. The News Agent ingests live Google News RSS headlines to classify market regime and detect earnings blackouts. The Quant Agent screens live option chains, computes Black-Scholes Greeks and IV-rank-adjusted yield, and enforces duplicate-position guards. The Sentiment Agent runs a six-LLM ensemble consensus with automatic failover. The Portfolio Manager runs first every cycle, applying 50% take-profit, 200% stop-loss, ITM rolls, and expiry sweeps while booking realized P&L. The Risk Governance Agent holds sovereign veto power with hard limits and executes real SPY protective puts when its live SPY ATM-IV stress index spikes above 25. Every order, veto, hedge, equity snapshot, and cycle is journaled to SQLite, producing measured analytics: Sharpe ratio, max drawdown, profit factor, and win rate. Operators interact through a real-time WebSocket cockpit, 10 CLI commands, 11 FastMCP tools, Telegram alerts, and AI-generated voice briefings. Team ApexArbitrage: Muhammad Zun U Rain Tahir, Anne Loraine A. Pardillo, Muhammad Abdullah Khalid.

Kitchen Stock Tracker is an intelligent kitchen inventory and order management system designed to simplify stock control and daily order processing. It provides real-time inventory tracking, ingredient batch and expiry management, recipe and dish management, stock validation, order history, and sales tracking. A key feature is voice-based order input, allowing users to speak orders naturally and convert them into structured items for processing. The system automatically validates ingredient availability before confirming orders and helps prevent stock shortages and invalid orders. Built with a modern web interface, Supabase/PostgreSQL backend, real-time data updates, and API-powered order processing, the project aims to make kitchen operations faster, more organized, and less error-prone.

🌎 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.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.