Four kinds of AI research tool
- Chat over financial data. You ask a question in plain English — “how have Apple’s services margins changed since 2021?” — and the assistant answers from filings, transcripts and financial statements. Fiscal.ai (formerly FinChat) is the best-known example. Strong for fundamentals research; only as good as the question you ask.
- AI scores. A model ranks a universe of stocks, usually on a 1–10 scale, from many inputs. Danelfin’s AI Score and TipRanks’ Smart Score are the familiar ones. Fast for building a shortlist; you rarely see why a stock scored what it did.
- Analyst-consensus and alternative-data dashboards. They gather Wall Street ratings, price targets, insider trades and sentiment into one view. TipRanks is built around this. Useful context; consensus is already in the price.
- Multi-agent research. Several AI agents research one stock from different angles — fundamentals, technicals, news, sentiment — then argue the bull and bear case before a final agent writes a verdict. HedgeDesk works this way. The output is a reasoned case you can read and challenge, not a number.
Conversational investing assistants such as Magnifi sit between the first and third kinds: plain-English questions, with discovery of stocks and funds built in.
Five checks for any AI research tool
- Can you see the reasoning? A score with no explanation cannot be checked, only trusted.
- Where does the data come from, and how fresh is it? An answer about last quarter built on data from two quarters ago is confidently wrong.
- What is the track record, and over how many calls? A short or hand-picked record proves very little (see the worked example).
- Who holds your data? Portfolios and watchlists reveal a lot. Check whether the tool needs an account, a brokerage link, or neither.
- Is it advice? Most of these tools say plainly that they are not. Treat every output as a starting point for your own work.
How the main approaches compare
| Approach | Examples | Best for | Watch out for |
|---|---|---|---|
| Chat over financial data | Fiscal.ai | Answering specific fundamentals questions quickly | Answers depend on how you phrase the question; check figures against the filing |
| AI scores | Danelfin, TipRanks Smart Score | Narrowing thousands of stocks to a shortlist | Little visibility into why; a high score is an opinion about inputs, not a forecast |
| Analyst consensus and alternative data | TipRanks | Seeing what professionals and insiders are doing | Consensus is usually priced in already |
| Conversational investing assistant | Magnifi | Plain-English discovery of stocks and funds | Check how the product makes money and what it recommends |
| Multi-agent research | HedgeDesk | A full bull-and-bear case on one stock you can read and argue with | Slower than a score; quality depends on the AI model you use |
Pricing in this market changes often and several providers show it only after sign-up, so this guide does not list it. Most offer a free tier or trial; use it on a stock you already know well, where you can tell a good answer from a fluent wrong one.
Worked example: what ten good calls prove
A tool that was right six times out of ten
Suppose a tool shows you ten past calls and six of them beat the market. A 60% hit rate sounds like an edge.
With only ten calls, the honest range for the true hit rate — a standard 95% interval — runs from about 31% to 83%. A coin, at 50%, sits comfortably inside it. Ten calls cannot tell a skilled tool from a lucky one.
It takes hundreds of calls, made in advance and recorded without being cherry-picked, before a hit rate means anything. That is why the third check above asks how many calls a record covers, not just how good it looks.
Where HedgeDesk fits, and where it does not
HedgeDesk, which ProDesk makes, is a native app for Mac, iPhone, iPad and Android. According to its product page, specialist AI analysts research a stock’s fundamentals, technicals, sentiment and news, bull and bear agents debate the thesis, and a portfolio manager agent delivers a structured verdict. There is no account: your holdings and API keys stay on your device. On supported Macs it can run on Apple Intelligence on the device; otherwise you bring your own key for Claude, ChatGPT, Gemini and others. It is free to download, with Pro at US$5.99 a month or US$59.99 a year for DCF and WACC models, portfolio modelling and the Catalyst Scanner.
Its limits. It is not a screener of every listed stock in seconds: a full multi-agent report takes longer than reading a score. Its quality depends on the AI model you choose, and bringing your own API key means paying that provider for usage. And like every tool here, it is research, not advice.
Putting it together
- Need a shortlist? A score-based tool is fastest.
- Need answers about one company? Chat over filings.
- Need to test a thesis before you buy? A multi-agent bull-and-bear debate puts the strongest case against you on the page.
- Always check the reasoning and the numbers yourself. Multi-agent AI stock research explains how the debate approach works in detail.