AlphaCondor

Problem & Motivation Retail algorithmic options trading faces two major hurdles: capital inefficiency and risk control. Traditional Cash-Secured Puts (CSPs) on blue chips lock up $30K–$60K in cash collateral per contract for small yields. Furthermore, connecting generative AI directly to broker execution creates severe hallucination and leverage risks. The Solution: AlphaCondor AlphaCondor is an autonomous AI options trading system built on Alpaca's developer platform, operating a dual-strategy options income engine: 1. Core Wheel Strategy: Systematic Cash-Secured Put (CSP) to Covered Call (CC) cycles on blue-chips (AAPL, MSFT, NVDA, SOFI, SPY) capturing steady theta decay. 2. 0DTE Iron Condors (SPY): A high-margin-efficiency defined-risk engine trading 4-leg credit spreads with defined $500 margin per spread instead of $30K+ collateral, unlocking 10x–20x greater capital efficiency. Decoupled Architecture: AI Advisor + Risk Firewall AlphaCondor strictly decouples AI cognition from execution: • Perception: Live prices, historical bars, option chains with Black-Scholes Greeks, and company news via Alpaca's API. • AI Cognition: Google Gemini (gemini-3.5-flash-lite) evaluates trend, volatility, and sentiment into structured Pydantic trade signals. • 7 Deterministic Risk Gates: Mathematical rules (70% confidence floor, 100% cash collateral, concentration caps, covered share backing, and liquidity filters) that no LLM can bypass. • Execution: Limit orders with explicit PositionIntent, WebSocket fill monitoring (TradingStream), Alpaca MCP server, SQLite journal, and Streamlit dashboard. Verified Results (2024 – 2026 Backtest) • Starting Capital: $100,000.00 • Ending Portfolio Equity: $117,347.00 (+17.3% ROI) • Total Premiums Collected: $40,703.00 • Strategy Win Rate: 84.5% across 276 executed trades • Dedicated Competition Account: PA3QPTGUKZ8P