How to Connect Your Brokerage to ChatGPT

A language model is not wired into your broker. It has no login to your account, no real-time market feed, and no memory of your positions unless something feeds them in. So a bare ChatGPT conversation can explain what a covered call is or reason through an allocation in the abstract, but it cannot answer “how is my portfolio doing” because it has never seen your portfolio. Worse, when pressed for specifics it can produce a confident, wrong figure, because it is pattern-completing rather than reading data.

Closing that gap means giving ChatGPT a grounded view of your real holdings. There are two honest ways to do that, plus a manual fallback. For the full explanation of the underlying limitation, see why ChatGPT can’t see your portfolio.

There is no single “Connect broker” button inside ChatGPT itself. Instead you use one of two bridges, or, if you just want a quick look, paste your holdings in. Here is what each does and what setting it up involves.

The MCP route gives you direct control and is the more technical path; a connected assistant does the wiring for you. For a deeper look at the connector option and what to look for in one, see MCP connectors for investing.

Whichever approach you choose, the shape of the process is the same. These steps keep it read-only and keep you in control of anything that touches your money.

• 1. Pick an approach. If you want direct control and do not mind running a server, set up an MCP connector. If you want it hands-off, use a connected assistant such as Walnut that links your broker for you. Pasting holdings into a message is the zero-setup fallback if you only need a one-time snapshot.
• 2. Connect read-only. Link your existing brokerage with read-only access, not trading access, to start. A connected assistant like Walnut connects through SnapTrade, a regulated aggregator, read-only by default; an MCP connector should be authenticated with the narrowest scope the broker allows.
• 3. Verify the permissions. Before you ask anything, confirm what the tool can actually do: that it reads positions but cannot place orders without you, and that the access is scoped to viewing. If a tool wants trading permission up front, stop and understand why.
• 4. Ask about your holdings. Now the conversation is grounded. Ask how a position is doing, how concentrated you are, or how a holding compares to the S&P 500. With a connected assistant like Walnut you are talking through ChatGPT about your real, live positions rather than a stale snapshot.
• 5. Keep trade approval with you. Never let the model place an order unattended. The safe pattern is research and reasoning from the AI, execution from you. Walnut requires you to approve every trade, so nothing is bought or sold without an explicit yes from you.

To be upfront, since this is our site: Walnut is one of the connected-assistant options, not the only way and not a number one. Walnut is an AI investing assistant you chat with on the broker you already own. It connects your existing brokerage through SnapTrade and lets you talk through ChatGPT about your real connected holdings, with each position framed against the S&P 500, without you running any server yourself.

The point of the connected-assistant route is that it removes the setup: you link your broker read-only, and the chat is grounded in what you actually hold. Walnut is not a deep data terminal and not a budgeting app. It sits on top of your broker, leans on web and price data rather than a proprietary filings corpus, and because broker feeds rarely pass cost basis it frames returns as window returns rather than realized profit and loss, and says so. It is read-only by default, every trade needs your approval, and Walnut is not an investment adviser. If you would rather keep direct control and do the wiring yourself, the MCP-connector route is the alternative.

Connecting your money to an AI tool is worth doing carefully. A few filters keep the whole thing trustworthy no matter which approach you use:

• Start read-only. Give the tool a view of your holdings, not the ability to trade. You can always keep it that way. Walnut is read-only by default.
• Prefer regulated aggregation. If a tool links your broker, prefer one that connects through a regulated aggregator rather than asking for your raw login. Walnut uses SnapTrade.
• Keep execution human. The AI can research and frame trade-offs; the decision and the order should be yours. Approve every trade explicitly.
• Verify specific numbers. Even grounded, an AI can slip. Treat figures as a starting point and check anything you would act on against your broker.
• Watch the advice line. A trustworthy tool explains and frames without pretending to be your adviser. Be wary of anything promising guaranteed market-beating returns.

ChatGPT alone cannot see your brokerage, and it can state wrong figures with confidence, so the honest move is to bridge that gap deliberately. Set up an MCP connector if you want direct control and do not mind the technical setup, or use a connected assistant like Walnut if you want your broker linked for you and the chat grounded in your real holdings through ChatGPT. Either way, connect read-only, verify the permissions, ask your questions, and keep every trade behind your own approval. Walnut is not an investment adviser.

For more on the underlying limit and how to work around it, see how to use ChatGPT to analyze your portfolio and why ChatGPT can’t see your portfolio.