I Analyzed Stocks for a Living. Here's What It Taught Me About Building Wealth.
Two years in equity research changed how I invest. But not in the way you'd expect.
When people find out I used to be an equity research analyst, they almost always ask the same question: “So you must be great at picking stocks, right?”
The honest answer is awkward. Working in equity research didn’t make me better at picking stocks. It made me realize that picking stocks is largely a losing game, even for people who do it professionally. And that realization, more than any financial model I ever built, is what shaped how I invest today.
Here’s what two years inside the machine actually taught me.
The smartest people in the room still get it wrong.
I worked alongside brilliant analysts. People with MBAs from top programs, decades of industry expertise, and access to information that retail investors will never see. They built 50-tab Excel models, flew to conferences, talked to CEOs, and spent 60-hour weeks trying to predict where a stock price would go.
And they got it wrong all the time.
Not because they were bad at their jobs. Because predicting the future of a business is genuinely, fundamentally hard. A company’s stock price depends on future earnings, which depend on consumer behavior, competitive dynamics, regulatory changes, macroeconomic shifts, management decisions, and a thousand other variables that interact in ways nobody can fully model.
The analysts who were honest about this were the best ones. They talked in probabilities, not certainties. They acknowledged when their thesis was wrong and updated it. They understood that being right 55% of the time was excellent, and 60% was extraordinary.
If the smartest, most informed, most resourced people in finance are operating with a 55% to 60% hit rate, what does that tell you about your ability to pick winners by reading articles online after work? It told me everything I needed to know.
The incentive structure is not designed to help you.
This is the thing that surprised me most when I started in the industry. I assumed equity research existed to help investors make good decisions. It does, sort of. But the incentive structure is far more complicated than that.
Sell-side research (the reports published by the big banks) exists primarily to generate trading commissions and to support the bank’s investment banking relationships. When an analyst covers a company, the bank wants to maintain a positive relationship with that company’s management team, because that relationship leads to lucrative banking deals: IPOs, debt offerings, M&A advisory.
This creates a structural tilt toward optimism. Putting a “sell” rating on a company you cover has real consequences. Management stops returning your calls. The banking team is unhappy. Your access, which is the lifeblood of good research, dries up.
The result: most ratings are positive. “Hold” is often the real negative signal. And the reports that get the most attention, the bold “buy” calls with high price targets, are sometimes more about generating trading volume than about giving you honest advice.
I’m not saying the system is corrupt. Most analysts I worked with were doing their honest best within these constraints. But the constraints are real, and if you’re a retail investor reading research reports at face value, you’re missing context that changes the meaning of what you’re reading. I wrote about this dynamic in more detail in I Pre-Wrote My Research Reports Before the Earnings Call Even Happened, and honestly, that piece and this one are companion articles. Together they paint the picture of how the sausage actually gets made.
What I actually took away wasn’t about stock picking. It was about process.
The best thing equity research taught me wasn’t how to find undervalued stocks. It was how to think about businesses systematically.
Before I worked in finance, I evaluated companies the way most people do: Do I like their products? Is the brand cool? Are they in the news? These are consumer questions, not investor questions.
Equity research trained me to ask different questions. What are the unit economics of this business? Where does the revenue come from, and how durable is it? What’s the competitive moat, and is it widening or narrowing? How does management allocate capital? What would have to be true for this stock to be worth its current price?
These questions don’t just apply to stock picking. They apply to every financial decision. When I evaluate whether to invest in a rental property, start a business, or even switch jobs, I’m using the same analytical framework. What are the economics? What are the risks? What assumptions am I making, and what happens if they’re wrong?
That framework is worth more than any stock tip. It’s a thinking tool I use every day, and it’s the most valuable thing I took from Wall Street.
Information is not the same as having an edge.
One of the biggest myths in retail investing is that if you just do enough research, you’ll have an advantage. Read the 10-K, listen to the earnings call, study the industry trends, and you’ll see something the market missed.
In practice, this almost never works. Not because the research is bad, but because the market is extraordinarily efficient at incorporating public information into prices. By the time you’ve read an article about a company, thousands of professional investors with faster data feeds and more sophisticated models have already acted on it. The price already reflects what you just learned.
The institutional investors I worked with understood this. The ones who consistently generated returns weren’t doing it by reading the same public filings everyone else read. They were doing it through proprietary research: channel checks, expert network calls, on-the-ground data collection, supply chain analysis. They were generating information that didn’t exist in any public filing. That was their edge. I wrote about the absurd lengths this went to in I Pre-Wrote My Research Reports, including calling STD clinics and getting my blood drawn three times in one day to estimate testing volumes for a company I covered.
As a retail investor, you almost certainly don’t have that kind of edge. And that’s fine. Because you have a different advantage that professionals don’t: time. You can buy and hold for 30 years without a client calling you to ask why you’re underperforming this quarter. That patience, combined with low-cost index investing, has historically beaten most professional managers.
Your edge isn’t information. It’s time horizon.
I had to separate the game I enjoy from the game that builds wealth.
This was the hardest lesson and the most important one.
I love analyzing businesses. I find it genuinely intellectually stimulating to study a company’s competitive position, build a valuation model, and form a thesis about where the stock should trade. That interest didn’t go away when I left equity research. If anything, it deepened.
But I eventually had to be honest with myself: the thing I enjoy (individual stock analysis) is not the thing that builds the most wealth (automated index investing). These are two different activities, and conflating them was costing me money.
So I separated them. The vast majority of my portfolio is in low-cost index funds. Automatic contributions, twice a month, no exceptions. This is the wealth-building engine. It’s boring by design. I don’t analyze it, I don’t tinker with it, and I don’t let my love of stock analysis anywhere near it.
Then I have a smaller allocation, capped at about 5% to 10% of my portfolio, where I invest in individual stocks. This is my intellectual hobby. I apply the analytical framework I learned in equity research, I follow sectors I find interesting, and I accept that this portion of my portfolio may underperform the index over time. That’s the cost of doing something I enjoy, and I’m fine with it because it’s sized appropriately.
The key was being honest about which activity serves which purpose. The index funds build wealth. The individual stocks feed my curiosity. The moment I confused the two, my returns suffered.
What All of This Means for You
You don’t need to have worked on Wall Street to benefit from what I learned there. The lessons are simple, even if they took me years to absorb.
The best investors in the world can’t consistently predict stock prices. The system that produces investment research has structural incentives that don’t always align with your interests. Information you can access as a retail investor is already priced into the market. And the most powerful investing advantage available to you isn’t analysis, it’s consistency over a very long time period.
The irony of spending two years professionally analyzing stocks is that it made me a worse stock picker and a much better investor. Because it taught me that the two are not the same thing.
What to Read Next
📖 The Simple Path to Wealth by JL Collins. The book that validated everything I learned in equity research about why simplicity beats sophistication for building long-term wealth.
📖 The Most Important Thing by Howard Marks. Marks is one of the most respected investors alive, and even he argues that most people should own index funds. His framework for thinking about risk and market cycles is the closest thing to an equity research education you can get from a single book.
📖 The Psychology of Money by Morgan Housel. The book that connects the dots between what I learned on Wall Street and what actually drives investment outcomes: behavior, not intelligence.
📖 Thinking in Bets by Annie Duke. The reason I was able to separate “I enjoy stock picking” from “stock picking builds wealth.” Duke’s framework for evaluating decisions independent of outcomes is worth reading for anyone who invests.
🎧 All four are excellent on Audible. The free trial gives you one credit to start. I’d pick Howard Marks if you want to feel like you’re sitting in an investing masterclass.
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