Descriptions:
Samin Yasar demonstrates how to build an AI-powered stock trading system using ChatGPT Codex and the Alpaca brokerage API, structured across three levels of increasing complexity. The video is framed around democratizing Wall Street-style advantages — real-time data access, automated execution, and strategic intelligence — that previously required expensive institutional infrastructure, and uses paper trading (simulated money on live markets) throughout.
Level one covers connecting ChatGPT to Alpaca’s free paper trading environment via API, establishing the secure channel that allows the AI to place and manage trades. Level two demonstrates building a copy-trading bot that monitors disclosed trading activity from institutional investors and US politicians, replicating moves automatically while supporting SMS check-ins for human approval. Level three covers options trading fundamentals and the construction of a bot running a systematic income strategy, including a backtesting methodology for validating any strategy before deploying real capital.
A technically notable section shows how ChatGPT Codex can spin up persistent background automations — agents that check portfolio positions every five minutes, enforce stop-losses at configurable thresholds, and send real-time alerts — creating a genuinely always-on trading monitor. The tutorial also demonstrates roleplay-based strategy validation, where users prompt ChatGPT to simulate specific market scenarios (e.g., Tesla spiking to $600) to verify the bot’s ladder-buy logic matches their intentions before going live.
📺 Source: Samin Yasar · Published May 18, 2026
🏷️ Format: Tutorial Demo
