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Explore How to Build an AI Stock Trading Bot with Interactive Brokers with 13,959 views, 503 likes, and 43 comments. Experience the impact of this video content that has captured audience attention.

*🚀 Master Quantitative Skills with Quant Guild* https://quantguild.com/?utm_source=youtube&utm_medium=video&utm_content=how-to-build-an-ai-stock-trading-bot-with-interactive *🛡️ Learn to Run a Personal Hedge Fund* https://quantguild.com/personal-hedge-fund?utm_source=youtube&utm_medium=video&utm_content=how-to-build-an-ai-stock-trading-bot-with-interactive *📈 Interactive Brokers for Algorithmic Trading* https://www.interactivebrokers.com/mkt/?src=quantguildY&url=%2Fen%2Fwhyib%2Foverview.php *👾 Join the Quant Guild Discord server here* https://discord.com/invite/MJ4FU2c6c3 ___________________________________________ *🪐 Free Project Source Code 👇* https://github.com/romanmichaelpaolucci/Quant-Guild-Library/tree/main/2026%20Video%20Lectures/134.%20How%20to%20Build%20an%20AI%20Stock%20Trading%20Bot%20with%20Interactive%20Brokers *👤 Video Setting Up Interactive Brokers 👇* https://youtu.be/7hezNf49iKc *🔗 How to Read Options Chains 👇* https://youtu.be/RrRbz6oXwxE TL;DW Executive Summary: * This video demonstrates how to build an autonomous AI stock trading bot integrated with Interactive Brokers Trader Workstation (TWS) using Python and OpenAI * The application features a Bloomberg-terminal style Flask user interface that displays real-time portfolio metrics, value at risk (VaR), conditional value at risk (CVaR), and active holdings * A persistent JSON-based memory structure ("the brain") saves executed trades, original theses, and evolving portfolio goals over time to prevent LLM whipsawing * The backend establishes a bi-directional communication loop via Interactive Brokers' eClient and eWrapper to fetch live market data, historical bars, news, and account summaries * The system provides full execution capabilities, allowing the LLM to dynamically size positions against risk profiles, reevaluate theses automatically, and place live equity orders I hope you enjoyed, and I hope you learned something! - Roman ___________________________________________ *📖 Chapters:* 00:00 - Introduction to the AI Stock Trading Bot Project 02:42 - System Architecture: Diagramming TWS API and OpenAI 05:31 - Building the JSON "Brain" for Persistent Memory and Theses 07:44 - Developing the Flask Frontend and Portfolio Risk Metrics UI 10:07 - Prompting Cursor & Setting up OpenAI API Keys 12:08 - Configuring Trader Workstation API Settings and Smoke Tests 18:53 - Integrating LLM Function Stubs for Live Data and News Retrieval 25:51 - Implementing Execution Capacity and Position Sizing Logic 38:27 - Adding Markdown Rendering, LaTeX, and Automated Re-evaluation Loops 59:06 - Troubleshooting TWS Read-Only Settings and Order Restrictions 01:10:20 - Live Demonstration of Automated Portfolio Rebalancing and Execution ___________________________________________ *🗣️ Shout Outs* A special thank you to my members on YouTube for supporting my channel and enabling me to continue to create videos just like this one! *⭐ Quant Guild Directors* Dr. Jason Pirozzolo ___________________________________________ *▶️ Related Videos* *Quant Builds 🔨* How to Build a Live Volatility Surface in Python (Interactive Brokers) https://youtu.be/5JEeAsQqlro *Statistics and Trading Profitability Over Time (Edge) 📈* Time Series Analysis for Quant Finance https://youtu.be/JwqjuUnR8OY Quant Trader on Retail vs Institutional Trading https://youtu.be/j1XAcdEHzbU Quant on Trading and Investing https://youtu.be/CKXp_sMwPuY Why Poker Pros Make the Best Traders (It's NOT Luck) https://youtu.be/wZChBKDFFeU Quant vs. Discretionary Trading https://youtu.be/3gblERSSHXI ___________________________________________ *🗂️ Resources* *📚 Quant Guild Library:* https://github.com/romanmichaelpaolucci/Quant-Guild-Library *🌎 GitHub:* https://github.com/RomanMichaelPaolucci https://github.com/Quant-Guild *📝 Medium (Blog):* https://quantguild.medium.com/ https://medium.com/quant-guild ___________________________________________ *🛠️ Projects* *The Gaussian Cookbook:* https://gaussiancookbook.com *Recipes for simulating stochastic processes:* https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5332011 ___________________________________________ *💬 Socials* *TikTok:* https://www.tiktok.com/@quantguild *Instagram:* https://www.instagram.com/quantguild/ *X/Twitter:* https://x.com/quantguild/ *LinkedIn (personal):* https://www.linkedin.com/in/rmp99/ *LinkedIn (company):* https://www.linkedin.com/company/quant-guild ___________________________________________

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