Get stock data in ChatGPT using Excel and the one step most people skip

About this tutorial

Get stock data in ChatGPT the right way means combining live market data from MarketXLS with the analytical power of an AI prompt, and this live session shows exactly how to wire those two tools together inside Excel. If you have ever pasted stale numbers into ChatGPT and wondered why the output felt generic, this demo fixes that problem from the ground up. What you'll see: - Pulling live stock data into Excel using MarketXLS functions such as mxs_price, mxs_pe_ratio, mxs_dividend_yield, and mxs_eps_ttm for a watchlist of tickers - Formatting those live values into a clean text block that can be copied or pushed directly into a ChatGPT prompt without manual re-typing - Building a dynamic prompt template in a spreadsheet cell that references live MarketXLS outputs so the AI always reads current numbers, not numbers from last week - Asking ChatGPT to compare valuation metrics across five tickers and summarize which ones look stretched versus undervalued based on the live data it receives - Setting up a simple refresh trigger so the data block updates on demand and the prompt stays accurate before each AI query - Reviewing the ChatGPT output side by side with the spreadsheet to verify the AI is reasoning from the correct figures and not hallucinating stale prices Why this matters: most investors who experiment with ChatGPT for stock research are feeding it outdated or approximate data, which means the AI analysis is only as good as whatever the model memorized during training. That training cutoff can be six months to over a year behind the current market. When you get stock data in ChatGPT through a live Excel pipeline built on MarketXLS, you close that gap entirely. The AI receives the same real-time price, earnings, and yield figures a professional terminal would show, which makes its comparisons, summaries, and flag-raising far more actionable. This workflow is particularly useful for income investors screening dividend stocks, for swing traders who want a quick fundamental sanity check before entering a position, and for analysts who want to speed up first-pass research without sacrificing data accuracy. The session is built live in Excel with MarketXLS real-time data so every formula and prompt template you see is one you can replicate immediately. No pre-loaded files, no fake numbers. A link to the template used in the demo is in the description so you can grab it and adapt it to your own watchlist after the broadcast ends.