DELTAX V2 — Autonomous AI Trading Agent

DELTAX V2 is an autonomous AI trading system built for the Alpaca AI Trading Agents Hackathon. It combines technical market analysis, real-world news intelligence, deterministic risk controls, automated broker execution, and end-to-end auditability into a single trading architecture. The system operates through three distinct trading strategies: Core, Active, and Intraday. Technical analysis identifies potential opportunities first, while AI evaluates whether current news, market conditions, confidence, and directional context support or invalidate the trade thesis. Before execution, every candidate must pass deterministic risk gates covering AI confidence, conflicting news, market and sector conditions, technical confirmation, timing rules, existing positions, and portfolio exposure. DELTAX limits planned loss to 1% of a $100,000 paper portfolio per trade, disables new entries at a 3% daily drawdown, and activates a kill switch at 5%. For options, DELTAX uses defined-risk credit spreads with systematic contract-selection rules. Orders are executed through Alpaca Paper Trading, reconciled against broker state, and continuously monitored. Every decision is recorded in PostgreSQL, creating a traceable path from technical signal → AI confirmation → risk gates → trade intent → Alpaca order → position → exit. A read-only dashboard exposes decisions, P&L, system state, and execution history for transparent review. DELTAX V2 demonstrates how AI can go beyond generating trading signals by acting as a disciplined validation, risk, execution, and auditing layer around an autonomous trading system.