Crypto Radar Daily
Daily crypto market updates, on-chain insights, Web3 research and risk education. For informational purposes only. Not financial advice.
Из чего сложился балл
In short
@cryptoradardailyy is a small channel for the Finance & Investing category: a post reaches 241.2% of subscribers — higher than 93% of channels in the category. Publishes 16 posts a month — less often than 65% of channels in the category. Some metrics don't agree with each other, so treat the figures with caution. Tracked since 18 Sep 2026, 15 measurements.
Position in the Finance & Investing category
A score of 45 — ahead of 35% of the category. Every grey dot is another object from the same category.
How it changed
History is still building up: 15 measurements so far. We take readings every night, and in a few days a change chart will appear here.
Views on recent posts
Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel leans on the occasional viral post.
Against the Finance & Investing category
Compared only against its own category: normal values differ for a channel with ten thousand subscribers and one with two million. The median is computed over 1154 objects in the category.
Questions
Is @cryptoradardailyy an active channel?
It didn't respond at the last check on 1 Nov 2026. That can be temporary — we check it every night.
Does @cryptoradardailyy have fake subscribers?
The metrics don't add up. That isn't proof of fake subscribers, but it's a reason to look closer before buying an ad. Our measurements: an average post reaches 241.2% of subscribers, metric consistency 0/100. Inflated views can't be fully ruled out from the outside, so this is an observation, not a guarantee. How to check it yourself
How many people see a post in @cryptoradardailyy?
The median post gets 731 views — 241.2% of 303 subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers
Topics
An object has one category but can have several topics — they gather channels from different sections.
Similar
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Nearest by score among objects on this topic, from any category. See the whole topic