How I Research a Stock Before I Buy It

Before I buy any stock, I run the same checklist every single time. It is the part that keeps me out of trouble, because I am buying a business to hold for years, not whatever looks exciting this week. In the video below I go through the whole process on a stock I actually own, Micron, and here I have written it up so you can follow along.

I start with fundamentals, not charts

I am a long-term, buy-and-hold investor, so I am not trying to chase momentum or draw lines on a chart. You see a lot of people online selling courses on how to read candles. If that worked as well as they claim, they would just be trading, not selling courses. What I care about is whether the company underneath the ticker is strong: are revenues growing, are profits growing, and does the business have a moat.

ASML is the clean example. They are the only company in the world making the machines that print the most advanced chips, which is hard to copy. Starting another milk brand is not. I also want management that reinvests into the future rather than coasting on the past. This is the same thinking behind why I moved some of my money into individual stocks rather than holding only ETFs.

Where I find the data

Your broker app is a fine starting point, and so is a free tool like Yahoo Finance. You can even ask ChatGPT or Claude, and I do use AI later in my process, but on its own it gets clunky when you want to compare twenty companies the same way every time, and it cannot give you financial advice. What I wanted was one dashboard that pulls the numbers, the analyst views and the ratings into the same view for every company.

I have tried TipRanks, Simply Wall Street and Investing.com, and they are all decent. The one I keep coming back to, especially for US companies, is Seeking Alpha. It is strong for US stocks. It is weaker on international names, so if you invest mostly outside the US, keep that in mind.

My three checks

When I look at a stock, it comes down to three questions.

The rating. Is the data on its side? Seeking Alpha pulls three views into one summary: its own analysts, Wall Street, and the Quant rating, which is a data-driven score across valuation, growth, profitability and momentum. The Quant rating is the one I value most because it is rules-based rather than opinion, and I set an alert so I get notified the moment it changes.

The price. Am I overpaying right now? I look at the forward P/E to judge how much I am paying for the earnings, then compare it to the rest of the sector so I have context rather than a number in a vacuum.

The other side. What does the bear case actually say? I deliberately read the most bearish articles, not just the bullish ones. You want a balanced view, not an echo chamber of people shouting buy.

A real example: Micron, start to finish

Micron has been one of my best performers, so it is a good one to walk through. These are the figures as they stood when I recorded the video, and they move, so treat them as a snapshot of the process rather than live numbers.

First the price chart. I check the year-to-date trend, then zoom out to five and ten years, because every stock is cyclical and I want a clear long-term uptrend, not just a hot month. Plenty of stocks look like rockets over thirty days and are still far below where they listed once you zoom out.

Then the ratings. Micron's Quant rating was 4.99 out of 5, a strong buy even at those levels. The factor grades for valuation, growth and profitability were strong, and that matters to me. I want a company that is both growing and profitable, not one without the other.

A few numbers I always pull: the market cap, to gauge how big the company really is; the short interest, where anything above 10 percent is a red flag for me, and Micron was around 3 percent, which is healthy; the dividend, which I mostly ignore since I am a total-return investor; and the forward P/E, to check whether I am overpaying. Then the analysis, where I read the bull and the bear case. I like that Seeking Alpha shows each author's track record, so you can see whether a permabear has been right or has been calling sell the whole way up.

None of this means I get every call right. I have stocks that have underperformed too, which is exactly why I diversify. The point of the checklist is not to be perfect, it is to make sure that when I do buy, I know why. If you want to see how I apply the same thinking to a single name, I broke down which Google share class I would buy, and these are the kind of mistakes I try to avoid along the way.

How I use AI as a second opinion

Once I have done my own research, I bring it to AI as a sparring partner. I mostly use Claude. I will paste in what I found, or screenshot a few things from the dashboard, and ask it to challenge my thesis or tell me where I might be wrong. The key is that I give it my own view first. Asking a chatbot whether Micron is a good buy gives you a useless answer. Giving it context and your own reasoning gets you something useful.

The tool I use, and how to try it

If you want to try Seeking Alpha, the best value is the Bundle, which combines Premium and Alpha Picks. There is a summer deal running until 7 July at $545 for the first year, saving over $253. After that, my link always lands on the current lowest price. If you only want the research side to run the checklist above, Premium on its own is plenty.

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