Agha Essa khan@Agha_Essa_Khan

SentryTheta AI solves the fundamental flaw of Generative AI in financial markets: LLM hallucinations causing reckless capital destruction. It bridges the gap between LLM market reasoning and unbreakable mathematical risk control. Our core multi-agent architecture includes a Market Analyst AI that scans real-time Yahoo Finance RSS news feeds for directional sentiment, and a Volatility Strategist that queries live Alpaca option chains to structure high-probability trades like Long Calls, Long Puts, and Cash-Secured Puts. Before any execution, a Sentry Risk Officer mathematically audits every proposed trade against strict risk rules. Finally, a Trade Executor transmits verified orders directly to the Alpaca Paper Trading API. To protect capital, our institutional risk engine features three defense layers: strict position sizing caps that restrict single option premium exposure to a maximum of 5% of account equity, a daily drawdown circuit breaker that automatically halts trading if portfolio losses hit 3%, and an automated exit harvesting system that scans active contracts every 60 seconds to trigger Stop-Loss (-15%) and Take-Profit (+30%) liquidations. SentryTheta AI offers a real-time glassmorphic dashboard with two operating modes: a Copilot Mode for human-in-the-loop 1-click trade authorization, and an Autopilot Mode for 100% autonomous execution. Features also include dynamic ticker search for over 6,100 optionable stocks, SQLite state persistence, and Model Context Protocol server integration.

AI-Quant-Coder is an innovative artificial intelligence platform designed to make quantitative finance and algorithmic trading accessible to everyone. By leveraging the power of advanced, open-source Large Language Models (LLMs), our tool analyzes complex financial market data, identifies patterns, and predicts market movements. Beyond just providing market insights, AI-Quant-Coder takes direct action. It acts as an autonomous coding agent that automatically generates, tests, and deploys custom Python trading scripts based on its predictive analysis and the user's risk preferences. This seamless integration of market prediction and automated code generation eliminates the need for deep programming knowledge. It allows users to execute sophisticated trading strategies effortlessly while keeping data private through the use of open-source models.

🌎 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.

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