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 82% 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
49 measurements spanning 78 days, net -4,235. 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 40,481–45,986 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)
Subscribers
Change
24 Oct 2026, 20:18
41,116
-46
23 Oct 2026, 19:55
41,162
-31
22 Oct 2026, 22:56
41,193
-52
21 Oct 2026, 22:50
41,245
-56
20 Oct 2026, 21:01
41,301
-33
19 Oct 2026, 21:51
41,334
-30
19 Oct 2026, 00:57
41,364
-49
18 Oct 2026, 01:58
41,413
-48
17 Oct 2026, 04:37
41,461
-32
16 Oct 2026, 04:17
41,493
-43
15 Oct 2026, 03:11
41,536
-39
14 Oct 2026, 01:29
41,575
-117
11 Oct 2026, 10:39
41,692
-213
7 Oct 2026, 02:54
41,905
-257
2 Oct 2026, 08:00
42,162
-692
18 Sept 2026, 11:40
42,854
-114
16 Sept 2026, 01:58
42,968
-89
14 Sept 2026, 10:00
43,057
-73
12 Sept 2026, 20:36
43,130
-102
10 Sept 2026, 23:36
43,232
first reading
Engagement
33 posts held, back to 7 May 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 156 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.09%
avg views ÷ 41,116 subscribers
Avg views / post
858
6 posts measured
Reaction rate
0.989%
reactions ÷ views · ER floor
Posts in window
6
of 33 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 5 of 6 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 22 October 2026
Posts held
33 (7 May 2026 – 22 October 2026)
Views total
5,146
Reactions total
50
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 19:20 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
451 reactions across 32 posts, in 7 distinct kinds. The most used accounts for 59.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
268
59.4%
❤
95
21.1%
🔥
59
13.1%
👏
15
3.33%
💯
12
2.66%
👌
1
0.222%
🥰
1
0.222%
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 32 of the 33 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 451 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 7 May 2026 to 22 October 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.
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🇹🇭 Thailand set to allow Bitcoin and Ethereum ETFs to list on its main stock exchange
From Oct. 16, new rules will let Thai investors access Bitcoin and Ethereum through the stock market, with funds required to keep at least 80% of their assets exposed to one crypto asset and to use SEC-regulated custodians.
💰𝙘𝙧𝙮𝙥𝙩𝙤 𝙬𝙖𝙡𝙡𝙚𝙩𝙨
🇺🇸 ETF FLOWS: BTC, SOL and XRP spot ETFs saw net inflows last week, while ETH spot ETFs saw net outflows.
BTC: $241.09M
ETH: - $138.02M
SOL: $2.43M
XRP: $4.74M
💰𝙘𝙧𝙮𝙥𝙩𝙤 𝙬𝙖𝙡𝙡𝙚𝙩𝙨
🔷 Vitalik: Ethereum's Path to a Cryptographic World Computer
Ethereum co-founder Vitalik Buterin has outlined a long-term vision for Ethereum evolving into a fully cryptographic world computer, contingent on advances across three key areas: STARKs, privacy, and Lean consensus.
Buterin's roadmap centers on zero-knowledge proof systems (STARKs) enabling trustless computation at scale, enhanced on-chain privacy, and a…
🪙 Bitcoin surges 5.88% in a single session, short squeeze underway
Bitcoin climbed 5.88% in one session, pushing back toward its 2026 highs above $80,000 as a short squeeze added momentum to the move.
The rapid advance liquidated overleveraged short positions, amplifying the rally. Technical indicators suggest the move has extended into overbought territory in the near term.
💰𝙘𝙧𝙮𝙥𝙩𝙤 𝙬𝙖𝙡𝙡𝙚𝙩𝙨
💯💯💯💯💯💯
Polish prosecutors have charged a fifth suspect in the Zondacrypto probe, which involves estimated losses of around $100 million.
The suspect, Roman Ż., was charged with two offenses following his arrest on September 5.
💰𝙘𝙧𝙮𝙥𝙩𝙤 𝙬𝙖𝙡𝙡𝙚𝙩𝙨
👩🍳 Hyperliquid Eyes US Market
Hyperliquid Labs is in advanced talks with Payward, Kraken’s parent company, to launch its perpetual futures for US traders.
If regulators approve, US traders could access some perpetuals on tokens issued on the Hyperliquid blockchain through Bitnomial, a Payward-owned exchange.
The talks come weeks after Trump said his administration was working to bring the platform to the US marke…
Pumpfun (PUMP) launched in-app trading for HyperEVM tokens, allowing users to buy assets with USDC at minimal fees.
Pumpfun claims to be the first memecoin service to bring HyperEVM to the sector.
💰𝙘𝙧𝙮𝙥𝙩𝙤 𝙬𝙖𝙡𝙡𝙚𝙩𝙨
🔸 Binance Launches Agent OS
Binance launched Agent OS, a toolkit for connecting AI agents to the exchange. It combines the Binance MCP server, exchange APIs and ready-made agent skills.
Agents can read crypto and TradFi market data, track balances and positions in real time, initiate trades, send and receive payments, and conduct on-chain operations.
Access rights, accounts and limits can be set for each agent. Se…
🤝US-Japan Plan to Strengthen Yen Could Boost Bitcoin
Arthur Hayes outlines a US-Japan strategy to strengthen the yen, now undervalued and frustrating the US, China, and Japan. Raising rates by the Bank of Japan risks crashing Japanese bonds. Forcing Japan to sell US assets would destabilize Treasuries.
Japan’s Ministry of Finance pledges US Treasuries to the Federal Reserve via FIMA, using the dollars to buy yen—cr…
👍9❤2👏1🔥1
Showing the 12 most recent of 33 posts we hold for @CRYPTO_WALLETS_TM. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 2 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Crypto Wallet™” (@CRYPTO_WALLETS_TM), 41,116 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/CRYPTO_WALLETS_TM.
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.