Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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
35 measurements spanning 51 days, net -49,581. 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 710,999–775,454 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 05:20
718,436
-7,352
17 Sept 2026, 10:59
725,788
-1,878
15 Sept 2026, 10:19
727,666
-2,004
13 Sept 2026, 17:01
729,670
-1,692
11 Sept 2026, 18:57
731,362
-2,542
9 Sept 2026, 04:17
733,904
-3,447
5 Sept 2026, 20:01
737,351
-2,006
3 Sept 2026, 20:39
739,357
-1,517
2 Sept 2026, 14:25
740,874
-577
1 Sept 2026, 15:53
741,451
-1,390
31 Aug 2026, 14:04
742,841
-1,025
30 Aug 2026, 16:34
743,866
-1,343
29 Aug 2026, 14:37
745,209
-815
28 Aug 2026, 15:23
746,024
-758
27 Aug 2026, 16:43
746,782
-886
26 Aug 2026, 17:12
747,668
-930
25 Aug 2026, 14:22
748,598
-1,078
24 Aug 2026, 13:25
749,676
-1,887
22 Aug 2026, 20:15
751,563
-1,830
21 Aug 2026, 12:18
753,393
first reading
Engagement
25 posts held, back to 4 March 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 107 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.251%
avg views ÷ 718,436 subscribers
Avg views / post
1,810
3 posts measured
Reaction rate
0.369%
reactions ÷ views · ER floor
Posts in window
3
of 25 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 20 September 2026
Posts held
25 (4 March 2026 – 20 September 2026)
Views total
5,420
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 07:23 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.
What this channel posts
Photos
272
Videos
59
Links
290
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
32s
Average length
8s
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
291 reactions across 25 posts, in 20 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
120
41.2%
🍌
69
23.7%
👍
31
10.7%
🔥
22
7.56%
🌭
14
4.81%
🤪
11
3.78%
🤯
6
2.06%
🤣
3
1.03%
✍
2
0.687%
👾
2
0.687%
🤔
2
0.687%
☃
1
0.344%
🆒
1
0.344%
🌚
1
0.344%
🍾
1
0.344%
👏
1
0.344%
🕊
1
0.344%
😇
1
0.344%
🤷♂
1
0.344%
🥴
1
0.344%
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 25 of the 25 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 291 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 4 March 2026 to 20 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
1
across the posts below
Posts paid on
1
of 25 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mmprotrust. 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 25 most recent posts we hold for this entry, published 4 March 2026 to 20 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.
💥 #Ripple #XRP #AI #Crypto #Payments
Ripple is bringing XRP payments to the AI payment standard developed by Stripe and Tempo. 🚀
RippleX has released version 1.1 of the XRP Ledger AI Starter Kit, adding support for the Machine Payments Protocol (MPP) and the Open Wallet Standard.
This allows AI agents to make payments for data, computing and online services using XRP and RLUSD. Agents can also manage wallets acros…
🦑💥 #Kraken #Nasdaq #Payward #Crypto
Nasdaq is investing $100M in Payward, the parent company of Kraken, at a valuation of approximately $21B. 🚀💰
The investment strengthens their partnership around tokenized equities and blockchain infrastructure. 🏦⛓️
Nasdaq and Payward are developing the Nasdaq Equity Token (NET) framework, bringing traditional equities onto blockchain infrastructure while maintaining market prote…
🦊💥 #MetaMask #Consensys #Web3
Consensys is splitting into two independent companies — with MetaMask becoming a standalone consumer-focused business. 🚀
The existing Consensys Software Inc. will be rebranded as MetaMask, focused entirely on self-custodial finance and consumer products under Joe Lubin. 🦊💰
The institutional and protocol business — including Linea, Ethereum infrastructure and enterprise solutions — wil…
🦑🏦 #Kraken #Crypto #Banking #FinTech
Kraken’s parent company, Payward, is exploring the possibility of becoming a full-service bank outside the U.S. 🌍🏦
The company is looking beyond crypto trading, focusing on three major areas: trading, banking and asset management 🚀
A full banking model could allow Payward to expand its financial offering across payments, money movement, lending, yield and custody — services the…
💥🦊🤖 #MetaMask #AI #Web3
MetaMask has introduced Agent Wallet — a self-custodial wallet built for AI agents, allowing them to execute crypto transactions autonomously while operating within user-defined rules and spending limits. 🚀
Every transaction is protected by a multi-layer security stack, including transaction simulation, threat scanning, MEV protection, and mandatory human approval for actions outside predefi…
💥🌍#XRP #Tokenization #CapitalMarkets
Ripple has announced strategic investments in ZILO and Licuido, reinforcing its commitment to building the next generation of digital capital markets infrastructure 🚀
The investments will accelerate tokenized asset adoption, modernize market infrastructure, and expand institutional access to blockchain-powered capital markets. 🏦⚡
By investing in digital asset infrastructure and…
🏦🇪🇺 #Kraken #Banking #Crypto
Kraken is reportedly seeking a banking license in Lithuania as part of its strategy to expand regulated financial services across Europe 🇪🇺
The move would allow the company to deepen its integration with traditional banking infrastructure while strengthening its position within the European financial ecosystem 🏦
Obtaining a banking license could unlock broader capabilities, including p…
💥🦊 #MASK #Crypto #Web3
The U.S. SEC has officially ended its case against MetaMask, marking a significant regulatory development for one of the largest self-custody wallet providers in the crypto industry ⚖️
The decision removes a major legal overhang and provides greater clarity for MetaMask as it continues expanding its ecosystem of wallets, payments, staking, and Web3 infrastructure 🔐
MetaMask remains one of th…
💥🇪🇺 #XRP #MiCA #Crypto
Ripple has officially secured its MiCA license in Europe, marking a major milestone in the company's regulatory expansion across the European Union 🏦
The authorization allows Ripple to offer compliant digital asset services under the EU's unified crypto framework, strengthening its position in one of the world's largest financial markets 🇪🇺
With regulatory clarity becoming increasingly impor…
💥🇪🇺 #XRP #MiCA #Crypto
Ripple has received preliminary approval from Luxembourg regulators for a European license under the MiCA framework 🏦
The approval marks an important milestone in Ripple’s expansion across the European market, positioning the company to operate within one of the world’s most comprehensive digital asset regulatory regimes 🇪🇺
MiCA is designed to create a unified framework for crypto businesses…
💰🌍 #XRP #RLUSD #Payments
Ripple has invested in Flutterwave, one of Africa’s leading fintech companies, accelerating the adoption of RLUSD, XRP Ledger, and blockchain-powered payment infrastructure across the continent
The partnership aims to enhance cross-border payments, improve settlement efficiency, and expand access to digital financial services for businesses and consumers ⚡️
Africa continues to be one of th…
🦊 #MASK #AI #Crypto
MetaMask has introduced Agent Wallet — a new wallet architecture designed specifically for AI agents ⚡
The solution combines autonomous transaction execution with user-controlled security mechanisms, allowing AI systems to interact with blockchain networks while maintaining human oversight 🔐
Agent Wallet is designed to enable AI-powered applications to manage assets, execute tasks, and interact…
❤5🍌3🔥1
Showing the 12 most recent of 25 posts we hold for @mmprotrust. 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.
Mentions
Named by 8 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Blum: All Crypto – One App @blumcrypto · 14,188,780#1
Read from Telegram’s recommendation API, most recently 8 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Zima Bank @zimabank · 312,049 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 10 August 2026
Noracle Announcements @noracleio · 42,986 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 28 August 2026
Hemera Trading Info @hemeratradinginfo · 54,542 Telegram ranks this channel #11 of 85 here — alongside 84 others — read 23 August 2026
mb.io Announcements @MultiBankio_Announcements · 134,749 Telegram ranks this channel #12 of 67 here — alongside 66 others — read 22 August 2026
STON.fi @stonfidex · 731,043 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 8 August 2026
bemo | TON Staking | Liquid Staking | bmTON @bemofinance · 28,353 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 9 September 2026
Tonstakers @thetonstakers · 908,245 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 8 August 2026
Quppy News @quppy_news · 20,800 Telegram ranks this channel #36 of 56 here — alongside 55 others — read 25 September 2026
$MilkMania | Music Meme @MilkManiawtf · 509,189 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 9 August 2026
| اخبارجنگ @Rapiviip · 50,945 Telegram ranks this channel #42 of 74 here — alongside 73 others — read 23 August 2026
Meme Pump @iMemePump · 69,342 Telegram ranks this channel #43 of 81 here — alongside 80 others — read 20 August 2026
Satoshi Tweeted @satoshi_e · 89,447 Telegram ranks this channel #44 of 84 here — alongside 83 others — read 19 August 2026
salarfinance @salarabdolahii · 45,162 Telegram ranks this channel #47 of 61 here — alongside 60 others — read 30 August 2026
Meme Rich Club @meme_investerment_community · 136,583 Telegram ranks this channel #48 of 72 here — alongside 71 others — read 28 August 2026
Nezamhealth 🧑🏻🔬 @Nezamhealth · 297,481 Telegram ranks this channel #48 of 66 here — alongside 65 others — read 22 August 2026
Cointelegraph @cointelegraph · 333,873 Telegram ranks this channel #50 of 86 here — alongside 85 others — read 10 August 2026
Reserve @whiteswapfinance · 28,948 Telegram ranks this channel #53 of 66 here — alongside 65 others — read 8 September 2026
❀─── رویا نامه ───❀ @royayiiii · 40,732 Telegram ranks this channel #54 of 61 here — alongside 60 others — read 28 August 2026
Разблокировка крипто-активов @UnlockCryptoCompany · 29,571 Telegram ranks this channel #55 of 67 here — alongside 66 others — read 7 September 2026
روانشناسیکودک(ثریاعلوینژاد) @SorayaAlavinezhad · 27,186 Telegram ranks this channel #59 of 72 here — alongside 71 others — read 11 September 2026
Blockchain, Bitcoin & Airdrops @blockFi · 30,272 Telegram ranks this channel #59 of 72 here — alongside 71 others — read 6 September 2026
سعید جودی @saeedjoodii2 · 21,440 Telegram ranks this channel #62 of 64 here — alongside 63 others — read 23 September 2026
LLchain Ai @LLchain_ai · 29,683 Telegram ranks this channel #62 of 76 here — alongside 75 others — read 7 September 2026
آموزش فرزندپروری، زهرا قانع @ghane_psychologist · 21,833 Telegram ranks this channel #63 of 65 here — alongside 64 others — read 22 September 2026
This channel appears in 35 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“MMPro Trust” (@mmprotrust), 718,436 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/mmprotrust.
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.