How to use AI for stock analysis

AI is good at reading. It can get through a 10-K, an earnings call transcript and a month of news faster than you can open the files. It is not good at being right on its own. The useful way to use AI for stock analysis is to let it do the reading and the first draft, and to keep the checking for yourself.

1. Ask questions that have an answer in a document

"Is this a good stock?" has no source. "How much of revenue came from the largest customer last year, according to the 10-K?" does. Questions tied to a filing, a period and a number give you something you can verify. Ask for the page or section the answer came from.

2. Make the AI show its sources

An answer without a source is a guess, however confident it sounds. Prefer tools that link each claim to the filing, report or article behind it, and open the link for any number you plan to rely on. Check the period too: a figure from last year's report can look current in a fresh summary.

3. Use it to summarize, then read the parts that matter

Let the AI tell you where the risk factors changed, what management said about margins, or which costs were excluded from adjusted earnings. Then read those sections yourself. The summary tells you where to look; the filing tells you what it says. Investor.gov's guide to reading a 10-K helps with the second part.

4. Ask for the case against

AI tends to agree with the framing of the question. If you ask why a stock will go up, you get reasons it will go up. Ask for the bear case with the same sources, and ask what evidence would settle the disagreement. Our fictional report example shows that structure.

5. Keep numbers and price charts separate

Trend lines, support and resistance describe how the price has moved. They say nothing about whether earnings turn into cash. Treat technical analysis and business analysis as two different questions, and don't let a chart answer a question about the company.

6. Write down what you decided and why

Keep a dated note: the question, the sources, the answer, and what would change your mind. AI makes it cheap to produce a lot of text, and that makes it easy to forget which part you checked. Our research guide has a simple template.

Where Kervence fits

Kervence does the reading on every Nasdaq and NYSE company and attaches the sources to each answer, so the checking step is one click away. Every stock also gets a technical picture with trend, support and resistance, so the chart and the business sit side by side without one answering for the other. It is research to inform your own decisions, not a recommendation to buy or sell.