AI stock analysis, without made-up numbers.
AI stock analysis uses language models to read a company’s data — results, filings, prices, news — and explain what it means. Done well, every figure comes from data and code, and the AI explains it. Done badly, the AI guesses the figures. InvestIQ is built entirely on the first approach.
What AI is good at in stock research — and what it is not
Language models are excellent readers and explainers. They are poor calculators and have no knowledge of the future. A good tool uses them for the first and never for the second.
What AI does well
- Read hundreds of pages of annual reports, results releases and call transcripts in minutes.
- Summarise, compare and put figures in context: this margin against last year, against peers.
- Explain a ratio or a score in plain words, at your level.
- Build the opposing case, so a thesis meets its strongest objections.
- Answer follow-up questions about the page you are looking at.
What AI should not be trusted with
- Producing figures from memory: models can state a revenue or a ratio confidently and wrongly.
- Predicting prices: no model knows tomorrow’s news.
- Knowing your situation, horizon, taxes or tolerance for risk.
- Making the decision for you: research informs a decision, it does not take it.
- Being believed without sources: an answer that cites nothing cannot be checked.
Three ways to use AI for stock research
Most tools fall into one of three families. They differ less in the model they use than in where the numbers come from.
| General AI chatbot | Screener with an AI summary | AI research platform | |
|---|---|---|---|
| Where the numbers come from | The model’s memory or a web search | A market-data feed | Data feeds and filings, computed by code |
| Risk of invented figures | High | Low on the screen, higher in the summary | Low: the AI only explains computed figures |
| Sources cited | Sometimes, often vague | Rarely | Systematically, down to the document |
| Depth | Wide but shallow | Many stocks, few explanations | Filings, models, opposing views |
| Your portfolio | Only what you paste in | Sometimes | Imported and followed over time |
A general chatbot is a fine way to learn a concept. For figures you rely on, the numbers have to come from data, and the tool has to show where.
How InvestIQ separates computation from AI
Three layers, kept apart on purpose. The AI sits on top and never reaches down to change a number.
- 1
Data
Market and financial data from Financial Modeling Prep, and company filings from SEC EDGAR. Each figure has a named source and a refresh time.
Data sources - 2
Computation
Deterministic code computes the scores, ratios, valuations and portfolio measures. The same data always gives the same result, and the rules are published.
Methodology - 3
Explanation
AI models read the computed results and write the explanation. Their text is checked against the figures and the evidence it cites before you see it.
Editorial policy
What that gives you
Understand any company in minutes: the research at a glance, then modules on the business, valuation, risks, ownership and price.
A structured report on your question, written from filings, with every claim linked to its source.
Bull, bear, quant and risk analysts debate a thesis. You judge.
Import your broker’s export; each position gets the same research, plus an audit of concentration and risk.
Explains every number on the page you are on, in your language.
The same research inside Claude or ChatGPT, through a connector.
An example
What a reading looks like when the numbers come from the engine and the AI only explains them. The company is fictitious.
- Results
- 80
- Price momentum
- 70
- Insiders and Congress
- 50 · neutral
- Quality
- 75
- Valuation
- 55
Results and momentum carry the score: revenue beat expectations in three of the last four quarters [1] and analysts raised next year’s estimates [2]. Valuation is middling, with a P/E close to the sector median [3]. No executive bought shares on the market in the last 90 days, so the insider group is neutral. The next results release is the main point to watch.
- [1] Results releases, last four quarters
- [2] Analyst estimates, 30-day change
- [3] P/E against the sector median
Fictitious example. Educational guidance only · Not investment advice.
How to choose an AI stock analysis tool
Seven questions that separate a research tool from a confident guess.
- 1Are the numbers computed or generated?
Figures should come from data and code. If the AI writes them, ask how they are checked.
- 2Are sources cited?
Each claim should lead back to a filing, a release or a dataset you can open.
- 3Is the method published?
A score whose weights and rules are public can be understood and challenged.
- 4Which data provider?
A named provider and a refresh time tell you how fresh and how reliable the figures are.
- 5Does it say what it cannot do?
Missing data, limits and uncertainty should be visible, not smoothed over.
- 6Does it hand out buy or sell calls?
A research tool explains data. Instructions to trade are personalised advice, a regulated activity.
- 7Where does your data go?
Check where it is hosted, what is kept, and whether your portfolio is used for anything else.
Questions
What is AI stock analysis?
Using language models to read a company’s data — results, filings, prices, news — and explain it. The reliable version keeps the calculations in code and uses AI only to read, compare and explain.
Can AI predict stock prices?
No. Models can summarise what has happened and what the data shows today; they do not know future news, and no tool can promise a price.
Is AI stock analysis investment advice?
Not when it describes data. InvestIQ provides research and education, the same for every user; it gives no personal recommendation and never tells you to buy or sell.
What is the best AI for stock analysis?
The one whose numbers you can check. Look for computed figures, cited sources, a published method and a clear statement of limits, rather than for the most confident answer.
Can I use InvestIQ inside ChatGPT or Claude?
Yes. InvestIQ’s research is available in Claude, ChatGPT and other assistants through a connector, on every plan; tools use your plan’s allowance. See AI integrations.
Is InvestIQ free?
There is a Free plan with a monthly allowance of analyses, and paid plans for more. See pricing.