Rising and fading
Rising fastest
- Regulation and law128+137%
- Riot Platformsnamed7
- Politics and government64+121%
- Trump Medianamed10+900%
- US Congressnamed36+177%
- Mining and energy21+133%
Falling away
- Binancenamed122-90%
- Hacks and theft155-88%
- World Liberty Financialnamed31-81%
Ask about this page
Our AI analyst answers questions about this page from CryptoKeyhole’s own data and charts. Free with an account.
Asking opens a free account in a few seconds (a username and a password, no email); then the answer appears here.
Every subject, week on week
| Subject | This week | Week before | Change | Tone | Last 14 days |
|---|---|---|---|---|---|
| Hacks and theft | 155 | 1,277 | -88% | -4.6 | |
| Prices and markets | 142 | 157 | -10% | -1.5 | |
| Regulation and law | 128 | 54 | +137% | -2.3 | |
| Stablecoins | 82 | 107 | -23% | 0.6 | |
| AI and crypto | 82 | 68 | +21% | 0.7 | |
| Politics and government | 64 | 29 | +121% | -1.4 | |
| Scams and crime | 52 | 69 | -25% | -4.0 | |
| ETFs and funds | 48 | 53 | -9% | -0.5 | |
| Banks and payments | 47 | 56 | -16% | -0.9 | |
| Tokenisation | 29 | 40 | -28% | 0.7 | |
| Companies and treasuries | 28 | 88 | -68% | 1.1 | |
| Mining and energy | 21 | 9 | +133% | -1.4 | |
| DeFi | 6 | 8 | -25% | 2.6 | |
| NFTs and meme coins | 6 | 5 | +20% | 0.1 | |
| Prediction markets | 5 | 8 | -38% | -1.9 | |
| The Fed and the economy | 4 | 30 | -87% | -1.7 | |
| Central bank digital money | 1 | 0 | 1.1 |
Who is being named
Exchanges and venues
- Binance122-90%
- Coinbase24-76%
- Hyperliquid17+112%
- Bybit6-46%
- Robinhood6-76%
- Crypto.com5+67%
- Bitget40%
- OKX2-50%
Issuers and funds
- BlackRock34+6%
- Fidelity28+4%
- Circle18-55%
- Tether12-40%
- Grayscale120%
- Franklin Templeton7-74%
- VanEck6+500%
- Bitwise6-67%
Treasury companies and miners
- Strategy19+19%
- BitMine11-8%
- Trump Media10+900%
- Riot Platforms7
Governments and regulators
- White House42-67%
- Federal Reserve41-34%
- US Congress36+177%
- US CFTC35+52%
- FBI20-71%
- US Justice Department19-37%
- US Treasury8+60%
- UK FCA3-57%
Banks and payments
- Morgan Stanley14-33%
- Visa100%
- Mastercard4-83%
- Goldman Sachs3-40%
- PayPal2+100%
- JPMorgan1-80%
- Citigroup1-67%
- Stripe1-67%
Projects
- World Liberty Financial31-81%
- Aave20%
Coins in the headlines
What people went to look up
- 1.1×World Liberty Financialcoin article464views, usual 402
How this is counted
Every 15 minutes CryptoKeyhole reads the GDELT Project’s Global Knowledge Graph file and keeps the articles whose headline names crypto, Bitcoin, Ethereum or stablecoins; a piece about something else that mentions Bitcoin in passing does not count. Each kept article is then matched against a fixed list of subjects (from its headline) and of organisations, projects and coins (from its headline and the names GDELT found in it). An article can count for several subjects and names.
This week is the seven days up to the newest file read; the week before is the seven before that. Tone is GDELT’s score for the words of the article, averaged: above zero warmer than the average article, below zero colder. Most news sits a little below zero.
What people are looking up sets the latest published day of each coin’s and each big topic’s Wikipedia article against that article’s own average of the 28 days before, among articles with at least 200 readers a day.
Coverage and limits
- This is a count of coverage, not a news feed: no headline, link or author is kept or shown.
- GDELT follows online news worldwide, and this file holds English-language coverage. Crypto’s own trade press is only part of it, so the counts lean towards how mainstream outlets see crypto.
- The counts are small: a subject’s rise from a handful of headlines to a dozen can be one story. Treat small numbers as a pointer, not a measure.
- The list of subjects and names is ours and fixed, so a name that is not on it can’t appear; people are never counted, only organisations, projects and coins.
- Wikipedia readership is a day behind: Wikimedia publishes a day once it has ended.
Questions
What is crypto news talking about this week?
Where does this data come from?
The GDELT Project’s Global Knowledge Graph, a public feed of world news, read every 15 minutes, and Wikimedia’s public page-view data. CryptoKeyhole keeps counts only: no headline or link.
How is this different from a news feed?
It tells you how much was written and about what, not what was written. To read the stories, go to the outlets themselves.
Open the news chartGet the APIAll free tools
Counts are CryptoKeyhole’s, from GDELT’s and Wikimedia’s public data; they measure coverage, not whether a story is true.