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 17 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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.
Growth
18 measurements spanning 68 days, net +999. 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 523–9,395 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Nov 2026, 12:10
3,279
-4,389
2 Nov 2026, 17:26
7,668
-54
30 Oct 2026, 08:55
7,722
-483
27 Oct 2026, 07:16
8,205
-97
24 Oct 2026, 04:05
8,302
-69
21 Oct 2026, 05:47
8,371
+356
18 Oct 2026, 14:17
8,015
-76
15 Oct 2026, 23:58
8,091
-99
12 Oct 2026, 17:01
8,190
+4,363
5 Oct 2026, 16:54
3,827
+1,455
27 Sept 2026, 22:01
2,372
+825
18 Sept 2026, 03:35
1,547
-105
14 Sept 2026, 05:17
1,652
-55
10 Sept 2026, 19:00
1,707
-255
6 Sept 2026, 03:18
1,962
-255
2 Sept 2026, 01:03
2,217
-62
30 Aug 2026, 11:13
2,279
-1
29 Aug 2026, 21:00
2,280
first reading
Engagement
44 posts held, back to 14 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 6 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.1%
avg views ÷ 3,279 subscribers
Avg views / post
364
24 posts measured
Reaction rate
1.38%
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. It is computed over the 21 of 24 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 5 November 2026
Posts held
44 (14 August 2026 – 5 November 2026)
Views total
8,725
Reactions total
104
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 12:10 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
Video runtime
19s
Average length
19s
Measured directly from 1 video 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
726 reactions across 41 posts, in 17 distinct kinds. The most used accounts for 84.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
616
84.8%
🔥
22
3.03%
🤮
19
2.62%
❤
14
1.93%
😢
11
1.52%
😱
11
1.52%
👎
9
1.24%
🥰
6
0.826%
💩
4
0.551%
💯
4
0.551%
👀
2
0.275%
💘
2
0.275%
😈
2
0.275%
✍
1
0.138%
❤🔥
1
0.138%
🍓
1
0.138%
💋
1
0.138%
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 41 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 726 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 14 August 2026 to 5 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 24 posts held from the last 30 days (4.17%) 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).
Ethereum Gas and Failed Calls Explained
Ethereum gas limits how much work a transaction can do, and it can change whether nested contract calls succeed. This explainer walks through the mechanism step by step, then covers the reported Glamsterdam Hoodi delay and why it matters for deployed contracts.
#CryptoInsights
📥 What a Daily ETF Flow Number Measures
Creations and redemptions, not a verdict
A reported ETF inflow is the net value of shares created minus shares redeemed by authorised participants that day. It reflects demand for the fund's shares, but it does not say who the end buyers were — and a single day can reverse the next. In October, US spot Bitcoin ETFs saw a $774M exit followed by a $110M rebound.
Longer windows…
🎙 Inside Assetara AI — Interview Part 3
How does the team describe Assetara’s AI trading engine, and what role do data, liquidity and risk settings play?
In the third part of our interview series, we move beyond wallet architecture to explore the platform’s algorithms and operating model.
In this episode:
🔹 Historical market data and AI development
🔹 Automation and the influence of trading emotions
🔹 Pool mechanic…
🤖 A Bot That Can Trade Can Also Be Drained
Bloom reports $953K taken from 48 wallets
Trading bot Bloom says $953,000 was drained from 48 wallets and has pledged to reimburse nine affected traders. It says no private keys were accessed or compromised.
Whatever the final root cause, the structure is general: a bot that trades on your behalf needs authority to move funds, and that authority is what attackers target. …
📜 Tokenized Stocks Need the Issuer's Cooperation Too
Over 40% of proposed companies have asked to opt out of OKX-ICE listings
Intel, IBM, Oracle and IonQ are the latest companies to object to having their shares listed in tokenized form through OKX and ICE. More than 40% of the companies initially proposed have now asked to opt out.
Robinhood CEO Vlad Tenev has also said tokenized equities need more than a tempora…
🖥️ AI Compute Is Becoming a Priced Input
A GPU rental index now trades onchain
Injective has launched an onchain futures market tracking rental prices for five Nvidia GPUs. Separately, Luxor raised $16M from CMT Digital to scale its AI infrastructure business and GPU sourcing as chip supply chains tighten.
The common thread: compute is starting to be treated like a commodity with a reference price. Before reading …
ESMA Stablecoin Opinion and the January 2027 Date
ESMA's October 8 opinion told MiCA-authorized crypto platforms to stop services tied to non-compliant stablecoins, with a three-month cleanup window reported to end January 8, 2027.
#News
🏦 US Regulator Invites Community Banks to Issue Stablecoins
The OCC has finalised its rules for the GENIUS Act
After finalising its rules under the GENIUS Act, the US Office of the Comptroller of the Currency has called on community banks to become payment stablecoin issuers. The law is set to be implemented in January.
The effect reaches beyond the US. Canada has opened a public consultation on a proposed framewo…
Solana Alpenglow and Faster Finality
Alpenglow is a real Solana consensus upgrade, but its economic importance depends on whether developers can turn faster finality into better workflows. The upgrade matters only where it changes cost, risk, or user experience.
#TechnologyAI
💶 USDC Now Leads Euro Stablecoin Trading
Kaiko data shows how MiCA reshaped exchange liquidity
USDC's share of stablecoin trading against the euro has climbed to 56% since January 2024, according to Kaiko, with deeper liquidity following as exchanges restricted USDT for European users under MiCA.
The shift is a reminder that stablecoin market share is not only a matter of user preference. Where a token can be list…
Buy USDT With USD on Bybit P2P
Follow the live Bybit P2P flow to buy USDT with USD: review an ad, create the order, send the exact payment it shows, click Payment Completed, and verify that the seller releases your USDT.
#Tutorials
🔑 When the Authenticity Check Itself Is Compromised
Keystone says attackers took a key used to verify devices as genuine
Hardware wallet maker Keystone first disclosed a leak of customer information. It has since disclosed that attackers also stole a key that could allow counterfeit wallets to pass its authenticity checks.
A genuineness check is only as strong as the key behind it, so the practical defences sit ou…
👍2
Showing the 12 most recent of 44 posts we hold for @assetara. 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.
Mentions
Named by 1 registered channel — 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Assetara | Smart DeFi & AI Investments” (@assetara), 3,279 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/assetara.
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.