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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.
Growth
32 measurements spanning 44 days, net +265. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 18,338–18,694 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 09:18
18,653
+22
16 Sept 2026, 22:40
18,631
+3
14 Sept 2026, 22:02
18,628
+16
13 Sept 2026, 05:21
18,612
+18
11 Sept 2026, 08:17
18,594
+45
8 Sept 2026, 10:22
18,549
+16
5 Sept 2026, 05:17
18,533
+10
3 Sept 2026, 09:54
18,523
+11
2 Sept 2026, 01:57
18,512
+8
1 Sept 2026, 02:38
18,504
+3
31 Aug 2026, 01:35
18,501
+9
29 Aug 2026, 23:34
18,492
+16
28 Aug 2026, 20:22
18,476
+3
27 Aug 2026, 18:54
18,473
+9
26 Aug 2026, 15:53
18,464
-1
25 Aug 2026, 17:42
18,465
+10
24 Aug 2026, 16:03
18,455
+18
23 Aug 2026, 01:03
18,437
+13
21 Aug 2026, 11:18
18,424
-4
20 Aug 2026, 14:35
18,428
first reading
Engagement
256 posts held, back to 5 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.2%
avg views ÷ 18,653 subscribers
Avg views / post
2,080
84 posts measured
Reaction rate
0.328%
reactions ÷ views · ER floor
Posts in window
84
of 256 held
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 69 of 84 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
256 (5 August 2026 – 3 September 2026)
Views total
174,723
Reactions total
486
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:50 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.
Reaction mix
1,352 reactions across 198 posts, in 38 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
307
22.7%
🤣
234
17.3%
🔥
161
11.9%
👍
150
11.1%
😁
82
6.07%
😭
68
5.03%
👏
60
4.44%
🤡
43
3.18%
😱
39
2.88%
😢
38
2.81%
🤯
36
2.66%
👀
27
2.00%
🤔
23
1.70%
😨
9
0.666%
🤬
9
0.666%
🌚
8
0.592%
💩
8
0.592%
🥰
6
0.444%
🫡
6
0.444%
💔
5
0.37%
18 further kinds
33
2.44%
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 212 of the 256 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 1,380 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 256 most recent posts we hold, published 5 August 2026 to 3 September 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.
Trader 0x2205 is cashing out on $AI, with over $4.5M in total profit — a 54x return!
He spent $84.5K to buy 20M $AI, then sold 13.23M $AI for $2.53M and still holds 6.77M $AI($2.1M).
https://debank.com/profile/0x22055b5799d9b98e002b28f15fb2acb08ed5eee7
PONS has broken above $500M.
Trader 0xe3bF deposited $54K into @Aster_DEX 6 hours ago, then opened a 4x long on 447,135 $PONS($226K) and is currently sitting on an $8.6K unrealized profit (+15%).
https://www.asterdex.com/en/explorer/address/0xe3bFC8F62d1680c4a536E19787fA98593D64aB62
Garrett Jin (@GarrettBullish) is taking profit on his 1,868 $BTC ($147M) long, closing 276 $BTC($21.5M) so far for a $210K profit.
He still holds 1,592 $BTC($123.92M) with $1.18M in unrealized profit.
But after holding the long for over 3 months, he has paid $1.94M in funding fees, so Garrett Jin is still in the red overall.
https://hypurrscan.io/address/0x92ea19ECeB7a8dE0f50978A1583A5D8b018050e9#perps
ogle (@cryptogle), an advisor to @worldlibertyfi, turned $4,997 into $5.4M on $PONS — a massive 1,080x return!
ogle initially spent just $4,997 to buy 10.607M $PONS (now worth $5.4M) at a $470K market cap.
ogle currently holds 10.9M $PONS($5.58M).
https://arkm.com/explorer/tx/0xdcb333f2d2d3bfad3dfe4d667536057601008e8c5b5b8c2987aafde2514d5123
The whale who held 2.93M $HYPE ($163.37M) sold the remaining 969,595 $HYPE($79.18M) an hour ago.
A year ago, the whale withdrew 2.89M $HYPE ($50M) from #Gateio at an average price of $17.35 and staked it, then sold it all over the past month, making nearly $140M in profit!
https://arkm.com/explorer/address/0x90B38C5728f184C87EF46479cf7B402d7B98B98a
https://arkm.com/explorer/address/0xcEF1C075DBFe6B2D774C74A8B94E835…
JINQIAN hit a $70M market cap just 1 hour after launch.
This guy made a 10x return on $JINQIAN in just one trade!
He spent 8 $ETH($19K) to buy 6.28M $JINQIAN, then sold it for 82.54 $ETH ($198K), making a 74.54 $ETH($178.6K) profit.
https://debank.com/profile/0xfe991d7563e917acc85b8d363e38193bd43c3a2f/history?token=0xe81880c1c5054245e036359f5c7be31606e79f56_JINQIAN_hood
Trader 0x9a49 sold all 7,201 $ETH ($17.2M) he bought a week ago, making a $780K profit.
https://arkm.com/explorer/address/0x9a4993f0d4106aFbb6a740eE8FdA81d5B206EEF5
Over the past month, the $USDT supply on #Tron increased by $4B to $94.27B, surpassing the total supply on #Ethereum.
https://tronscan.org/token20/TR7NHqjeKQxGTCi8q8ZY4pL8otSzgjLj6t/analysis
Showing the 12 most recent of 256 posts we hold for @lookonchainchannel. 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.
Forward network
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.
Mentions
Named by 4 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.
Handles this channel named that no longer answer
Dead references
5
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
5
vacant every time we have ever looked
@lookonchainchannel named 5 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@machibigbrother named in 3 posts, 8 August 2026 – 29 August 2026
@jameswynnreal named in 1 post, 2 September 2026 – 2 September 2026
@tectonicfi named in 1 post, 1 September 2026 – 1 September 2026
@cz_binance named in 1 post, 18 August 2026 – 18 August 2026
@hut8corp named in 1 post, 13 August 2026 – 13 August 2026
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Ernst Wolff @WolffErnsts_offiziells · 319,420 Telegram ranks this channel #26 of 49 here — alongside 48 others — read 11 September 2026
Upsc Mains Test Series @UpscMainsTestSeriesss · 36,928 Telegram ranks this channel #29 of 31 here — alongside 30 others — read 1 September 2026
SpotOnChain | Announcement @spotonchain · 21,872 Telegram ranks this channel #43 of 88 here — alongside 87 others — read 22 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Lookonchain” (@lookonchainchannel), 18,653 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/lookonchainchannel.
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.