The Three Ways, At a Glance
An AI can only analyze data it can reach. Getting your broker data to it comes down to three approaches, trading off effort against freshness, accuracy and privacy. There's no single best answer — it depends on how technical you are and how often you want to ask.
Manual CSV
Anyone, 2 minutes
- Export holdings, paste into any AI chat
- No coding, works with every broker
- Static snapshot — stale immediately
- Accuracy is on the AI (unreliable)
API / MCP
Developers, hours of setup
- Live, structured data feed
- Keys, auth, code and maintenance
- You own the security burden
- Powerful, but overkill for most
Integrated tracker
Anyone, one-time connect
- Broker syncs automatically
- AI reads your real, priced data
- Correct returns, cost basis, tax
- Read-only, no training by default
Route 1: Manual CSV Export
The universal option. Every mainstream broker lets you download your positions or transactions, and every AI chat can read a pasted table or an uploaded file. It's the fastest way to get started and needs nothing more than a spreadsheet.
Export from your broker
Find the Export, Download or CSV option on your Positions or Statements page. Our broker capabilities directory shows where each broker hides it, with per-broker walkthroughs.
Trim it to what matters
Cut the file down to ticker, name, asset class and weight. A tidy table gives far better analysis than 30 columns of broker codes.
Paste and prompt
Drop it into the AI with a specific question. The prompt templates in our ChatGPT portfolio analysis guide are built for exactly this.
Two honest caveats
A CSV is a snapshot — it's out of date the moment prices move, so tomorrow you export again. And you're trusting the AI to do the maths, which it does badly. Keep the analysis qualitative and bring any exact numbers ready-made.
Route 2: API & MCP (For Technical Users)
If you write code, you can give an AI a live, structured feed instead of a static file. Some brokers publish an API; aggregation services offer one across many brokers at once. The Model Context Protocol (MCP) — an open standard for letting an AI assistant read from external tools and data sources — is the emerging way to plug such a feed into an assistant so it can query your positions on demand.
This is genuinely powerful: fresh data, structured fields, and an assistant that can pull exactly what it needs. But be honest with yourself about the cost:
- Setup. API keys, OAuth flows, and either a broker that exposes an API or a paid aggregator that does.
- Maintenance. Endpoints change, tokens expire, rate limits bite. It's a small project, not a one-off.
- Security. You're now custodian of credentials that touch your finances. Storing and scoping them correctly is on you.
- Still no tax logic. A raw feed gives the AI numbers, but the model still has no FIFO or tax-lot awareness, so exact gains remain unreliable unless you compute them yourself.
Who this is actually for
Developers who enjoy the plumbing and want to build something custom. For everyone else, the effort-to-benefit ratio is poor — an integrated tracker gives you the "always-fresh, structured, queryable" outcome without the maintenance.
Route 3: Integrated Tracker With a Built-In Assistant
The third route collapses the whole problem into one connection. A portfolio tracker syncs your broker once, keeps prices and positions current, computes your returns, cost basis and tax correctly — and puts an AI assistant on top of those real numbers. You get the freshness of the API route and the ease of the CSV route, without either downside.
This is how AllInvestView works. Connect a supported broker for automatic updates (or import a CSV from any broker that isn't directly supported), and the built-in assistant answers plain-language questions — "what's my best performer this year?", "how much dividend income did I earn in 2024?" — with full context of your holdings, performance and history. Because the assistant reads the same audited figures that drive your reports, the numbers behind its answers are correct, not guessed.
- One-time connect, then it stays in sync — no re-exporting.
- Grounded answers over real, priced holdings with proper tax-lot logic.
- Read-only broker connections and no training on your data by default.
Skip the exports and the plumbing
Connect your broker to AllInvestView once, then ask the built-in AI assistant anything over your real, synced portfolio — correct returns and cost basis, no CSV shuffling, no code to maintain.
Side-by-Side Comparison
The same three routes, scored on what actually matters. "Freshness" is how current the data stays; "accuracy" is whether the numbers behind an answer are trustworthy.
| Manual CSV | API / MCP | Integrated tracker | |
|---|---|---|---|
| Effort to set up | Very low — minutes | High — coding & upkeep | Low — one connect |
| Data freshness | Stale — snapshot | Live | Live / synced |
| Number accuracy | Low — AI does the maths | Mixed — data ok, tax logic missing | High — computed by the tracker |
| Tax-lot / FIFO aware | No | No | Yes |
| Privacy posture | Watch training opt-out | You secure the keys | Read-only, no training |
| Best for | A quick one-off look | Developers building custom | Ongoing, accurate use |
Which Route Is Right for You
- Just curious once? Export a CSV and paste it into an AI. Keep it qualitative — see the ChatGPT analysis guide for prompts and limits.
- A developer who wants control? Wire a broker or aggregator API to an assistant via MCP — accept the setup and maintenance as the price of a live, custom feed.
- Want accurate answers without the hassle, ongoing? Use an integrated tracker. It's the only route that keeps data fresh and gets the numbers right. Compare options in the best AI portfolio trackers roundup, or read how AI portfolio trackers actually work.
Frequently Asked Questions
One connection, accurate answers
Sync your broker to AllInvestView and ask the built-in assistant anything — no exports, no code, no guessed numbers.
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