AlphaQuant AI: Autonomous Options Trading Copilot

# Project Overview AlphaQuant AI is an autonomous quantitative options trading copilot built on Alpaca infrastructure for the Alpaca AI Trading Agents Hackathon 2026. It strictly incorporates mandatory US equity options trading (Calls & Puts on NVDA, AAPL, TSLA) powered by the Alpaca Model Context Protocol (MCP) Server. ## Multi-Agent Consensus Swarm AlphaQuant AI deploys 4 specialized AI personas: 1. Technical Analyst: Calculates Wilder RSI(14), EMA(20), and MACD to establish directional Call/Put bias. 2. Macro Sentiment: Evaluates macro trends and Implied Volatility (IV) to prevent entering high IV crush. 3. Risk Guardian: Holds veto power to enforce defined-risk boundaries and strict capital limits. 4. Market Structure: Inspects options liquidity, spreads, and open interest to eliminate slippage. Consensus is aggregated via deterministic mathematical voting (Majority 3/4 or Unanimous 4/4) with zero look-ahead bias. ## Autonomous Options Strategy & Greeks - Bullish Setups (BUY_CALL): Selects ATM/OTM Calls (Delta ≈ 0.50) for leveraged defined upside. - Bearish Setups (BUY_PUT): Selects OTM Puts (Delta ≈ -0.45) for downside hedging. - Theta Protection: Contracts with < 7 days to expiration are rejected to eliminate high time decay. ## Institutional Risk Gates 1. Defined Risk Principle: Maximum loss is strictly capped at 100% of premium paid. 2. Strict "No Naked Selling": Only long calls and puts are permitted. No uncovered short risk. 3. 5% Capital Ceiling: Max $5,000 allocation per position on the $100,000 paper capital. 4. Liquidity Gate: Rejects spreads > 15% or open interest < 200 contracts. ## Alpaca Infrastructure - Alpaca MCP Server (v2.1.0): Full JSON-RPC 2.0 tool execution (alpaca_place_option_order, alpaca_get_options_chain). - Alpaca Paper Trading: Account ID PA3QMVG68GA0 ($100k Equity). - Verification: 56/56 passing tests, Next.js 16, and deployed live on Vercel.