Option data in Claude, the one prompt most traders never think to run

About this tutorial

Option data in Claude becomes genuinely useful the moment you pair it with live spreadsheet output from MarketXLS, and this broadcast shows exactly how to do that in real time. If you trade options or hedge equity positions, this session walks you through a practical workflow that pulls live option chain data into Excel or Google Sheets and then sends that structured data to Claude for instant interpretation, no manual copying, no stale screenshots. What you'll see: - A MarketXLS formula pulling a full option chain for a single ticker, including strike, expiration, bid, ask, implied volatility, delta, and open interest, all in live cells - A clean table layout that organizes calls and columns separately so Claude receives structured, unambiguous input rather than a wall of numbers - A direct prompt sent to Claude that asks it to flag unusual open interest spikes, compare implied volatility across expirations, and identify strikes where the bid-ask spread suggests thin liquidity - Claude returning a plain-language summary of what the option chain is signaling, including which contracts look crowded, which expirations carry elevated IV, and where price discovery may be unreliable - A side-by-side view of the raw MarketXLS output and the Claude interpretation so you can audit whether the model is reading the data accurately - A reusable prompt template you can paste into your own workflow immediately after the session Why this matters: most retail traders look at an option chain and see a grid of numbers. Identifying whether a spike in open interest at a specific strike reflects genuine hedging demand or speculative crowding takes pattern recognition that is easy to miss when you are scanning manually. Implied volatility skew across expirations can signal expected event risk or a mismatch in how market makers are pricing near-term versus longer-dated risk. By routing live MarketXLS data into Claude, you get a second pass at the same numbers from a language model trained to surface patterns in structured financial text. The result is not a trading signal you follow blindly, but a faster first-cut analysis that tells you where to look harder before you place a trade. This approach also scales. Once the MarketXLS table is built, you can swap the ticker in one cell and re-run the Claude prompt in seconds. That means you can screen several names during an earnings week, flag the ones with unusual option activity, and spend your analytical time only on the positions that actually warrant it. Built live in Excel and Google Sheets with MarketXLS real-time data during this broadcast. Demo template link in the description so you can follow along or rebuild it after the stream.