When you research a company, a sector, or a coin, you see a lot of opinions and a lot of price charts. What's harder to find is a clean measure of attention: are more people actually paying attention to this than last year?
Wikipedia page views are one free way to measure it. Every article's monthly readers are public, back to 2015. I made a free Google Sheet that charts five years of them for any two to five pages, the Wikipedia Trends Tracker.
To be clear up front: this is a research tool, not financial advice. Attention is not the same as value, and it doesn't predict prices.
The short answer
Wikipedia page views measure how many people read about a company, product, or asset each month. Tracked over several years, they show whether public attention is growing or fading, which is a useful input alongside fundamentals and price. Chart any two articles free in Google Sheets with the Trends Tracker template.
What attention data is useful for
- Spotting a story people are starting to notice. A company's readers climbing year over year means more people are hearing about it.
- Checking a hype cycle. If price spiked but reader interest didn't, or the reverse, that's worth knowing.
- Comparing rivals. Two companies in the same market, one gaining attention, one losing it.
- Context for your notes. A dated chart beside your thesis keeps you honest about what the public was paying attention to at the time.
How to add it to your research, step by step
- Find the Wikipedia article for each company, product, or asset. Companies often have titles like
Tesla,_Inc.orBYD_Auto. Copy the address from your browser. - Get the free template from the Trend Tracker page and make a copy.
- Open the Controls tab. It's the first one.
- Paste the two articles you're comparing into Page 1 and Page 2.
- Set Range to All time and Daily or monthly to Monthly.
- Click Fetch views + chart. The first time, Google asks you to allow the script.
- Read the year-over-year shape, not single spikes. Earnings, lawsuits, and launches all create one-month spikes.
- Note what you see next to your other research, with the date.
A real example: Tesla vs BYD
From Wikimedia's API (English Wikipedia, human readers):
- The Tesla, Inc. article had about 3.55 million readers in 2022 and about 2.47 million in 2025.
- The BYD Auto article had about 388,000 readers in 2022 and about 1.40 million in 2025.
Tesla still gets more attention. BYD's grew more than threefold. What that means for either company is a separate question, and a much harder one. But it's a fact about attention you can check in a minute. See the live chart on the Tesla vs BYD page, and a crypto example on the Bitcoin vs Ethereum page.
The limits, plainly
- Attention isn't value. Some of the most-read companies are read about because something went wrong.
- It's mostly English-speaking readers if you use English Wikipedia. A company big in one country may be read about more in another language edition.
- It's monthly. It's for slow questions, not trading decisions.
- Renamed articles split history. Companies rebrand. Check for an old title if a line drops off a cliff.
FAQ
Can Wikipedia page views predict stock prices?
No. They measure public attention, which is one input among many. Don't trade on them.
Can I track a whole sector?
Yes. Many sectors have their own articles, like "Electric vehicle" or "Semiconductor industry". Chart the sector next to a company in it to see whether the company is gaining share of attention.
Is this financial advice?
No. It's a free data tool. Do your own research, and talk to a licensed professional for advice about your situation.
Add a free attention signal to your research. Get the free Wikipedia Trends Tracker and chart your first pair.
