Manan Sharma@MaybeManan

VolHelix AI re-engineers algorithmic options trading through a high-performance neurosymbolic multi-agent architecture built natively on Alpaca Trading API and FastMCP server. Traditional LLM bots suffer from hallucinatory drift and capital blowups; VolHelix AI solves this by strictly decoupling creative market thesis generation from deterministic risk management. At its core is an Adversarial Agent Swarm powered by Google Gemini and LangGraph. The Market Intel Agent analyzes volatility regimes using a 5-state Hidden Markov Model and IV rank. The Strategy Synthesizer generates Greeks-optimized options spreads (Bull Put, Bear Call, Iron Condor), while an adversarial Devil's Advocate systematically stress-tests proposals against macroeconomic risks. Approvals require a deterministic 2/3 quorum consensus, eliminating conversational hallucination. Before any agent executes, the setup must pass our Master Order Flow Confluence Gate, requiring a composite score of 70% or higher based on institutional Smart Money Concepts (Order Blocks, Fair Value Gaps) and aggregate Gamma Exposure (GEX Call and Put Walls). Execution is protected by 10 inviolable mathematical risk invariants with zero LLM involvement, capping max capital loss at 2.5% NAV and enforcing portfolio delta neutrality. Open positions are monitored by our 24/7 Decoupled Position Guardian, an independent daemon that manages dynamic Take-Profit and Stop-Loss exits even when the scanning autopilot is turned off. Integrated with a real-time Next.js 16.3 terminal featuring dual IST and NYSE ET market clocks, 3D WebGL volatility surface, and audited trade ledger, VolHelix AI delivers institutional-grade options intelligence on Alpaca.

🌎 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.