The liquidation map of the past 24h shows over $2B in potential short liquidations compared to just $1B in longs.🎵 That's twice as much liquidity to the upside, with most of the downside liquidity sitting just above $72K.👹
👍14

Channel
@CryptoCrownTM
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Cite this entry
34,439subscribers
-2,340 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001215365882 |
|---|---|
| Type | Channel |
| Username | @CryptoCrownTM |
| Description | Educational coverage of blockchain ecosystems, digital assets, and web3 trends since 2021. Focus on technological research, industry insights, and foundational mechanics. |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/CryptoCrownTM |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 54% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @CryptoCrownTM/7212 · this entry10 Sept 2026, 10:24 UTC | @White_Bullss/2235010 Sept 2026, 10:50 UTC | 1.00 | 26 minutes |
| @CryptoCrownTM/7370 · this entry28 Sept 2026, 12:14 UTC | @White_Bullss/2240528 Sept 2026, 12:14 UTC | 1.00 | under a minute |
| @CryptoCrownTM/7572 · this entry22 Oct 2026, 11:39 UTC | @White_Bullss/2247922 Oct 2026, 16:00 UTC | 1.00 | 4.4 hours |
| @CryptoCrownTM/7627 · this entry27 Oct 2026, 20:09 UTC | @White_Bullss/2249127 Oct 2026, 20:42 UTC | 1.00 | 32 minutes |
| @CryptoCrownTM/7737 · this entry10 Nov 2026, 13:34 UTC | @White_Bullss/2252210 Nov 2026, 13:36 UTC | 1.00 | 2 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @White_Bullss | 5 (5/5 hand-verifiable sample passed) | 1.00 | 38 minutes | this entry (5–0) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 375 comparable posts for this entry, running 3 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Recorded under the key clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 14:19 | 34,439 | -9 |
| 10 Nov 2026, 12:20 | 34,448 | -14 |
| 8 Nov 2026, 20:56 | 34,462 | -5 |
| 7 Nov 2026, 13:19 | 34,467 | -23 |
| 6 Nov 2026, 14:39 | 34,490 | +13 |
| 5 Nov 2026, 15:50 | 34,477 | -29 |
| 4 Nov 2026, 15:34 | 34,506 | -14 |
| 3 Nov 2026, 13:36 | 34,520 | -3 |
| 2 Nov 2026, 10:32 | 34,523 | +6 |
| 1 Nov 2026, 11:18 | 34,517 | -22 |
| 31 Oct 2026, 10:31 | 34,539 | -20 |
| 30 Oct 2026, 11:56 | 34,559 | -147 |
| 29 Oct 2026, 10:36 | 34,706 | -206 |
| 28 Oct 2026, 09:38 | 34,912 | -61 |
| 27 Oct 2026, 07:56 | 34,973 | -35 |
| 26 Oct 2026, 04:36 | 35,008 | -49 |
| 25 Oct 2026, 04:16 | 35,057 | -41 |
| 24 Oct 2026, 01:11 | 35,098 | -66 |
| 22 Oct 2026, 21:49 | 35,164 | -43 |
| 21 Oct 2026, 21:56 | 35,207 | first reading |
718 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 188 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 224 of 226 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 718 (3 August 2026 – 12 November 2026) |
| Views total | 273,457 |
| Reactions total | 5,009 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 18:21 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
15,991 reactions across 715 posts, in 8 distinct kinds. The most used accounts for 47.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7,661 | 47.9% | |
| ❤ | 2,885 | 18.0% | |
| 🔥 | 1,981 | 12.4% | |
| 🐳 | 1,552 | 9.71% | |
| 💯 | 829 | 5.18% | |
| 🤝 | 763 | 4.77% | |
| 🤯 | 189 | 1.18% | |
| ⚡ | 131 | 0.819% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 715 of the 718 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 15,991 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 718 most recent posts we hold, published 3 August 2026 to 12 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram’s own ‘edited’ marker: 44 of 226 posts held from the last 30 days (19.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
The liquidation map of the past 24h shows over $2B in potential short liquidations compared to just $1B in longs.🎵 That's twice as much liquidity to the upside, with most of the downside liquidity sitting just above $72K.👹
👍14
#BTC _ I'm still seeing the same view, and my plan remains unchanged.🥇
❤17
🚨JUST IN: $222,000,000 worth of crypto longs liquidated in the past 30 minutes.
👍16
👋 November still has time If it closes green!🟢 December could follow If it closes red - December might too Get ready and pray for our bags🥊
👍15
#AAVE has corrected another 15%, exactly as planned.❣️ A bullish reaction after sweeping the liquidity below the low wouldn't be surprising.🧘
👍15💯3🤝2
#SEI _ Most of our charts have now reached their key levels, just as we mapped out! ✅ Now we're waiting to see how the market reacts at these levels!😮💨
👍18❤6💯2
🟢 #BTC Liquidated Short: $57.2K at $74377.00
🐳14
#GOLD _ I don't think the correction is over yet. We could see another move lower.✅ I'm expecting a bullish reaction from one of these two highlighted key zones.😕
👍15❤4🔥3
I can honestly say this has been the toughest leg I’ve analyzed so far. Really hope this one plays out as expected! 🤞
❤23💯2
#ETH has underperformed BTC the most, especially when considering Bitcoin’s dominance.✨ However, both of our entry levels have been tapped, and I’m expecting a retracement from this area! 🕔
👍23❤7🔥4
#BTC has also corrected 5% into our first highlighted key level, exactly as expected! 🥇 So far, our analysis has been on point. Hopefully, it stays that way going forward! I don't think price should move too far away from our first level. A reversal from the second level could be much more difficult to achieve.✅
❤25👍8🤝5
#LTC has also touched our first level and swept the liquidity below the low!🫰 Guys, I've done my part. The rest is up to the market makers now! 😮💨
🐳14❤7👍6
Showing the 12 most recent of 718 posts we hold for @CryptoCrownTM. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
@CryptoCrownTM edited 11 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
We recorded 11 posts on @CryptoCrownTM as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
How do you see #BTC this month ? 🎵
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
How do you see #BTC next month? 🎵
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
❓ Crypto Market Sentiment — Next week❕
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
How do you see #BTC next month? 🎵
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 718 most recent posts we hold, published 3 August 2026 to 12 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 6 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Crypto Crown ™” (@CryptoCrownTM), 34,439 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/CryptoCrownTM.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.