ORACLE - AI Multi-Agent Trading System

ORACLE (Omniscient Reasoning and Capital Allocation with Live Execution) is an autonomous AI trading agent that goes beyond simple buy/sell signals. It introduces a novel "Contrarian Council" architecture where every potential trade must survive a rigorous multi-agent debate before a single dollar is risked. How It Works: 1. Signal Detection: ORACLE scans the market for momentum fade opportunities (stocks moving >5% intraday) and analyzes VIX regime to determine market state (calm, normal, or fear). 2. The Contrarian Council: Five AI agents debate every trade: - Bull Agent: Argues upside potential - Bear Agent: Challenges with downside risks - Risk Agent: Evaluates portfolio-level risk and tail exposure - Quant Agent: Analyzes statistical edge and implied volatility - Judge Agent: Synthesizes all perspectives, delivers a final score 3. Execution: Only trades scoring >= 70/100 proceed. ORACLE constructs Iron Condor options strategies using Alpaca's multi-leg order API, capturing premium with defined risk. 4. AutoNarrator: After every decision, an AI narrator generates a social media post explaining the reasoning in plain English. Why ORACLE Is Different: Most trading bots use a single model. ORACLE introduces adversarial debate between multiple AI perspectives, mimicking how top hedge fund investment committees operate. In our live demo, the Council unanimously rejected a flawed Iron Condor on NVDA, calling it "picking up pennies in front of a steamroller." Built with Python, Alpaca Trading API, and Groq-powered LLMs. Model-agnostic architecture compatible with any OpenAI-compatible provider.