Article
CAPE Ratio: Why Today's Stock Market Looks Like the Dot-com Bubble
Do you know what the Cyclically Adjusted Price-to-Earnings Ratio (CAPE) is? If not, you probably should. Right now, we are at levels reminiscent of the dot-com bubble at the turn of the millennium.
CAPE, also known as Shiller P/E (developed by Nobel laureate Robert Shiller of Yale University), is a way to determine whether stocks are expensive or cheap. It works by comparing the price of stocks in the market to the average earnings of companies over the past 10 years, adjusted for inflation. Think of it as a tool that smooths out short-term fluctuations and gives us a long-term perspective on whether the market is overvalued (too expensive) or undervalued (cheap). If CAPE is high, it suggests that stocks might be overpriced, reducing the likelihood of high investment returns in the future. The only exception would be if companies’ earnings were to grow dramatically in the upcoming years — far more dramatically than what we saw even during the rise of the internet, one of the biggest technological revolutions in history.
The Story of the Dot-com Bubble
In the 1990s, the internet emerged as a revolutionary technology that promised unlimited possibilities. Startups with vague business models but promising names began to achieve billion-dollar valuations, often without generating real profits. Investors, driven by optimism and the fear of missing out, poured money into any company with ".com" in its name.
At the height of the dot-com bubble, the CAPE for the S&P 500 reached 44.2, the highest figure in modern history. This indicator suggested that the market was extremely overvalued. When investors realised that many of these companies would never be profitable, the sell-off began. By 2002, the Nasdaq index had dropped by more than 75%, and many internet companies had disappeared. For those who invested at the height of the bubble in 2000, it took more than a decade for their investments to regain the same real value. This prolonged recovery was not only due to falling prices but also the impact of inflation, which further eroded the actual value of invested funds.
February 2025
Today, CAPE for the S&P 500 sits at around 38, significantly above the historical average of approximately 16-17.
History does not replay itself, but its parallels cannot be ignored.
Disclaimer
This article is intended for informational and educational purposes only. It does not constitute financial advice, a recommendation to buy or sell any securities, or a guarantee of future market performance. The views expressed are solely those of the author, who may also be an investor. Investing in financial markets involves risk, and each reader should make their own decisions independently and, if necessary, consult with a licensed professional.
Sources
Summary
Common questions on this article's topic
What is the CAPE ratio?
What was the CAPE ratio during the dot-com bubble?
What is the CAPE ratio today and what does it signal?
What happened during the dot-com bubble?
Does a high CAPE ratio guarantee a market crash?
How can the CAPE ratio help individual investors?
Related articles
I am building an AI system to predict the S&P 500. It runs on my own machine, uses free public data — yfinance, FRED, the Shiller dataset — and grades every forecast against reality. This series documents the build itself: the decisions, the methodology, the mistakes. What I will eventually share from the running system is a separate question, and an honest one.
If I take a certain risk, how much can I gain — and how much can I lose?
Interesting opportunities often appear where nothing seems to be happening.
More articles
Prague, 13 May 2026. On my way to work I started thinking about something that stayed with me for days. If most routine work on a computer disappears in the next ten years, and a large share of repetitive manual work disappears with it, what happens to the flow of money? Who pays whom for what? Which economic layers will exist, how large will they be, and what relationships will run between them? This is the six-layer map I sketched as an answer.
Yesterday I could not tear myself away from the computer. When I lifted my head, it was half past eight in the evening. I had been sitting alone upstairs for about three hours.
Will AI take my job? A certified Google trainer told me in June 2024 that my profession would cease to exist. Twenty-two months later, my job title has not changed — but ninety percent of what I do during the day is different. I have delegated more of my thinking to AI agents than I thought possible. I am not afraid. This is why, and what it means for anyone asking the same question.
One hour. Fifty-five minutes. That is how long it took to build what a Czech software firm had quoted at over €50,000. I built it with Claude Code. Not a prototype. Not a proof of concept. A working tool — the one the company actually needed. By the evening of the same day, it was running on staging. This is not about Claude Code. It is about what Claude Code exposes.
I have conducted roughly one hundred and fifty practical interviews over the past four years. Fifty for data specialist roles. A hundred for advertising and performance marketing specialists. Almost every one of them involved sitting down with a candidate over a practical task — something close to a real problem we actually need to solve at the company. Not theory. Not trivia. Applied problem-solving. Over time, I started noticing a pattern.
Before you can teach AI to understand anything, you need to see what it is hiding from you.
The moment other people needed access to it, the problem changed completely. It was no longer about whether the agent could learn. It was about who gets to teach it.
I wanted to build an agent that doesn't just assist. One that acts.
This is what I learned about local vs cloud AI, and why I switched to Claude Code.
Four days in Catalonia. No computer, no AI, almost no social media. I bought this notebook so that I could write down what I would think about, and what I would come across and learn on the trip.
