Crypto statistics: the first launch

This article was written and was accurate on the date of publication. Since then there have been many more developments and new features: the portal keeps evolving. You may be reading about early versions of the project, and something may already be fixed. If you see an inconsistency or know better from your own experience – write to me: I am a beginner in crypto myself and will definitely take your advice into account.

In short: right now the bot follows six coins – bitcoin, XRP, Solana, Toncoin, Stellar and PEPE – and general market news. Each coin has a shared set of large sources and its own official channels. Data has been collected since October 29, 2026, and the official launch was November 2. This is the first test launch: the database is young and will grow every day.

Below – what exactly is tracked, how to read the first statistics and what I will connect next.

Six coins and why these

The list started with the coins I followed myself. Then I added ones with a different character of news, to make the statistics more interesting:

• Bitcoin – the benchmark. All other coins are compared with it: the bot takes out its move to see the reaction to the news itself.
• XRP – a coin where news about courts and regulators was the main news for years.
• Solana – a network with frequent upgrades and a lot of news from developers.
• Toncoin – a coin closely linked to Telegram, with official news right in Telegram channels.
• Stellar – a payment network, added on October 30, 2026.
• PEPE – a meme coin without a blog or releases, added at the same time. Something else is interesting here: what moves the price when there is no official news at all.

How many sources each coin has

All coins have a shared set. These are 9 major crypto outlets (CoinDesk, The Block, Cointelegraph, Decrypt, cryptonews.com, Bitcoin Magazine, U.Today, BeInCrypto, CryptoSlate), 6 large news Telegram channels, three of them Russian-language, Binance listing announcements, 4 YouTube channels, Google News and 4 well-known news accounts on X. That is 25 shared sources in total. A story from a shared source goes to a coin if the coin's name is in the headline.

On top, each coin has its own sources (by the register as of October 30, 2026):

It is not by chance that bitcoin has few sources of its own: it has no company and no official blog, and all major outlets write about it anyway. PEPE has few because there simply are none. Some of the Stellar and PEPE sources were connected after the launch.

Separately the bot collects market news without a specific coin: SEC and CFTC press releases, Fed decisions, the EU regulator ESMA, the outage pages of Coinbase and Kraken, announcements of OKX, Bybit and Binance. They are on the Market page.

Which crypto stats are already being collected

From day one, for each story the bot records:

• the time of first publication and how many outlets picked up the story;
• the source level: official, media, X, video, mass;
• the event type: regulation, listing, hack, network update, funds and others;
• the coin's own move after 15 minutes, 1 hour, 4 hours and 24 hours;
• price spikes and drops and the news published before them.

From this the cryptocurrency statistics in the Data section are built: after news from which sources and of which types the price moves more, what share of news coincided with a notable reaction. Once a week the bot counts weekly statistics by level and source and the accuracy of the AI ratings.

The impact of news on crypto: how to read the first numbers

The main rule: in the first weeks the numbers have to be read carefully. A few days of data means dozens of stories, not thousands. One loud story can shift the average for a source a lot. So I show sources only when they have at least 3 stories with a measurement, and I always write how many there are.

The second rule: timing alone does not prove cause. If a coin grew after a story, it only means the growth came after the story. The market could have been growing for other reasons, and the news could already have been priced in.

The third: the reaction is counted in absolute terms. Both a rise and a fall after a story are a reaction. We are interested in whether the price moves at all, not in which direction.

With these caveats the statistics are already useful. Even on a small database you can see that most news passes without a notable reaction, and loud headlines often stand still. I broke down the Solana and Polygon example in the article for beginners: four major outlets – and a move within the usual noise.

How to use the crypto statistics yourself

Statistics are useful only if you check them on your own coins. Here is how I use them myself.

1. I open the coin's day. The day page shows all the stories for the day, the time of each and the reaction after 15 minutes, 1 hour, 4 hours and 24 hours. If there was a spike or a drop, next to it are the news from three hours before it and three hours after.
2. I compare with the market. If a coin fell together with bitcoin, it is the market. The interesting days are when a coin's own move goes apart from the market.
3. I look at the source. Did the move coincide with an official story or a retelling on social media? Over time you can see which sources more often write things after which the price really moves.
4. I scroll through the week. Once a week I scroll through the days in a row: do the event types after which the price moved repeat?

This is not a strategy and not a tip on when to enter. It is a way to see your coin's market based on facts, not headlines. And when the database grows to months, the same numbers will become much more reliable.

What I will connect next

My goal is simple – to keep my finger on the pulse for each coin. For that the database needs to grow. Here is what is planned:

• Spikes during the day. Now the bot collects news and updates the price reaction every 30 minutes, and marks spikes and drops in the morning. The next step is to report sharp moves right away.
• On-chain analytics. Data from the blockchains themselves: how many coins are transferred, how many go to and from exchanges. On-chain is everything visible in the network's open database.
• Whales. Large crypto transfers by individual holders. The bot already catches some of these reports through aggregators on X, next – directly.
• Crypto Twitter. More accounts on X: founders, developers, analysts. Right now X is collected once a day.
• Futures. Crypto futures data: how bets on growth and on a fall behave. For now this is only a plan, without dates.
• New coins. The list will grow, first of all by readers' requests.

I will describe each such connection here, in the blog, with the date and what changed in the data.

Want a coin that is not here

If you are interested in a specific coin, message me on Telegram: which one and why. There are no forms or requests, I answer myself. The more requests for a coin, the sooner it will appear in the bot. Meanwhile every morning the bot sends a recap for six coins to Telegram – free and without ads.