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 92% 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
30 measurements spanning 34 days, net +348. 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 27,773–28,286 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
9 Sept 2026, 11:41
28,227
+44
6 Sept 2026, 01:19
28,183
+38
3 Sept 2026, 22:40
28,145
+77
2 Sept 2026, 11:57
28,068
-8
1 Sept 2026, 11:28
28,076
-4
31 Aug 2026, 08:43
28,080
+1
30 Aug 2026, 06:38
28,079
+6
29 Aug 2026, 04:28
28,073
+3
28 Aug 2026, 01:28
28,070
+35
27 Aug 2026, 00:43
28,035
+63
26 Aug 2026, 03:08
27,972
-6
25 Aug 2026, 03:33
27,978
+4
23 Aug 2026, 23:14
27,974
-2
22 Aug 2026, 03:55
27,976
+4
20 Aug 2026, 17:24
27,972
+29
19 Aug 2026, 20:42
27,943
+40
18 Aug 2026, 21:12
27,903
+9
17 Aug 2026, 19:38
27,894
+13
16 Aug 2026, 14:05
27,881
-4
14 Aug 2026, 23:43
27,885
first reading
Engagement
44 posts held, back to 26 June 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
49.3%
avg views ÷ 28,227 subscribers
Avg views / post
13,900
24 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
24
of 44 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
44 (26 June 2026 – 3 September 2026)
Views total
334,090
Reactions total
3,376
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Sept 2026, 07:00 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
6,122 reactions across 44 posts, in 7 distinct kinds. The most used accounts for 33.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,034
33.2%
🔥
1,333
21.8%
🤯
1,004
16.4%
🤣
666
10.9%
😭
635
10.4%
👍
428
6.99%
👀
22
0.359%
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 44 of the 44 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 6,122 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 26 June 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.
Telegram Stars
Stars received
87
across the posts below
Posts paid on
18
of 44 we hold a reading for · 41%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mlmonchain. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 44 most recent posts we hold for this entry, published 26 June 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Loracle is betting heavily against Robinhood coins, shorting 9.13M PONS ($5M) and 22.5M CASHCAT ($5.7M), making him the largest shorter in both markets on Hyperliquid.
He is currently down a combined $1.4M on the two shorts.
https://hypurrscan.io/address/0xefe4c06b6d310978bead596e1798a4fc1d9d194b
Two days later, this entity is still unshielding ZEC and selling it on Hyperliquid.
Over the past three days, it has unshielded a total of 112.8K ZEC ($90M), of which 13.05K ZEC ($10.4M) remains unsold.
The ZEC wasn’t shielded for long. This entity shielded it just minutes before unshielding it and depositing it into Hyperliquid, presumably to obscure the trail. All of the ZEC appears to have been withdrawn from Bi…
Outcome has deployed the first DEX on HIP-4, called “OUT.”
https://app.hyperliquid.xyz/explorer/tx/0xac56fb89c1c8203aadd0044338c77801fc00136f5ccb3f0c501fa6dc80cbfa25
Unit deposited $15M USDC into Hyperliquid over the past three hours and has bought 136K HYPE ($10.9M) so far, while continuing to buy HYPE with the remaining USDC.
https://hypurrscan.io/address/0x3842544417dd7aaddeb83dc699484dcc4e5b9b9a
With Unit testing HIP-4 stuff on testnet and already holding 350K HYPE, this purchase would give it roughly the 500K additional HYPE needed to launch a HIP-4 DEX. It is therefore pr…
Over the past 60 hours, Hyperliquid Strategies has bought roughly $60M worth of $HYPE on HyperCore and roughly $16M worth of HYPE on CEXs.
This amounts to roughly 920K–950K HYPE.
Two wallets I believe are linked to Hermeneutic have sold ~$15M worth of HYPE over the past three days.
They still hold 660K HYPE ($56M), which they are slowly selling.
https://hypurrscan.io/address/0x0a8494f70031623c9c0043aff4d40f334b458b11
https://hypurrscan.io/address/0xfc1ccff3fa575ce4297ac24aa00c06946bcf40da
The wallets above are still unshielding ZEC and selling it on Hyperliquid.
They have unshielded a total of 65.82K ZEC ($51.6M), or roughly 0.4% of ZEC’s circulating supply and 1.37% of all currently shielded ZEC, and sold 53.9K ZEC ($42.3M) while buying 536.7 BTC so far.
The unshieldings are still ongoing, and they have placed sell orders for another 8.37K ZEC ($6.6M) on Hyperliquid.
A wallet cluster possibly related to Sakolkorn Sakavee, the co-founder and former chairman of Bitkub (Thailand’s largest crypto exchange), unshielded 34.1K ZEC ($26.1M) over the past day and deposited it to Hyperliquid.
He then sold 24.1K ZEC ($18.5M) and bought 238 BTC.
There is still 10K ZEC ($7.6M) on Hyperliquid, with sell orders placed around $780.
0x614e08cf0b6ab0248b040e0103be6ba61716b8e3
0x59ad11e7eb8de6b…
❤77😭25
Showing the 12 most recent of 44 posts we hold for @mlmonchain. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@mlmonchain edited 2 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.
First edit seen
21 August 2026
Most recent edit
28 August 2026
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 13 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.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Mlm onchain” (@mlmonchain), 28,227 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/mlmonchain.
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.