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 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
66 measurements spanning 98 days, net +19,406. 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 16,303–42,721 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
12 Nov 2026, 01:06
38,757
-29
10 Nov 2026, 01:04
38,786
-28
8 Nov 2026, 14:49
38,814
-18
7 Nov 2026, 09:10
38,832
-18
6 Nov 2026, 07:10
38,850
-21
5 Nov 2026, 05:16
38,871
-13
4 Nov 2026, 01:50
38,884
-332
3 Nov 2026, 00:10
39,216
-19
1 Nov 2026, 23:58
39,235
-32
31 Oct 2026, 23:36
39,267
-30
30 Oct 2026, 23:50
39,297
-73
30 Oct 2026, 02:40
39,370
-22
29 Oct 2026, 04:01
39,392
-53
28 Oct 2026, 03:30
39,445
-27
27 Oct 2026, 05:08
39,472
-22
26 Oct 2026, 04:00
39,494
-58
25 Oct 2026, 06:27
39,552
-18
24 Oct 2026, 06:54
39,570
-62
23 Oct 2026, 04:18
39,632
-20
22 Oct 2026, 06:09
39,652
first reading
Engagement
126 posts held, back to 25 July 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 122 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.71%
avg views ÷ 38,757 subscribers
Avg views / post
1,440
37 posts measured
Reaction rate
3.13%
reactions ÷ views · ER floor
Posts in window
42
of 126 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 13 November 2026
Posts held
126 (25 July 2026 – 13 November 2026)
Views total
53,191
Reactions total
1,665
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 05:23 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
≈1,160
Videos
≈63
Links
≈1,320
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
13s
Average length
13s
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
4,782 reactions across 114 posts, in 31 distinct kinds. The most used accounts for 25.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,215
25.4%
😁
826
17.3%
⚡
821
17.2%
💯
779
16.3%
❤
576
12.0%
🏆
119
2.49%
🆒
118
2.47%
🍾
101
2.11%
🗿
48
1.00%
🌚
34
0.711%
👀
18
0.376%
👻
16
0.335%
🤝
15
0.314%
🐳
14
0.293%
👍
14
0.293%
👏
10
0.209%
🥰
8
0.167%
🙏
7
0.146%
👾
6
0.125%
😱
6
0.125%
11 further kinds
31
0.648%
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 115 of the 126 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 4,809 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 126 most recent posts we hold, published 25 July 2026 to 13 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.
Telegram Stars
Stars received
132
across the posts below
Posts paid on
114
of 115 we hold a reading for · 99%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alloxdotai. 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 126 most recent posts we hold for this entry, published 25 July 2026 to 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 42 posts held from the last 30 days (0%) 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).
Same narrative. Three very different portfolios.
• Conservative: steadier, larger caps
• Balanced: a mix of stability and upside
• Aggressive: higher risk, higher potential
On AlloX, you choose how much risk you want. The AI builds around it.
Which one are you? 👇
👉 app.allox.ai
Repost: https://x.com/alloxdotai/status/2121211985723355282
Myth: on-chain investing is complicated.
Reality on AlloX:
• No token research: the AI picks and explains every token
• No DEX hopping: routing is automatic
• No crypto needed to start: fund with your card
• No custody risk from an exchange: tokens land in your wallet
If you can type a sentence, you can build a portfolio.
👉 app.allox.ai
Repost: https://x.com/alloxdotai/status/2120834515899748403
Wall Street closes at 4pm. AlloX doesn't.
316 tokenized US stocks and ETFs, trading 24/7, on-chain, straight from your wallet:
• 106 on BNB Chain
• 183 on Robinhood Chain
• 27 on Arbitrum
No broker. No account opening. No closing bell.
Pick your chain. Pick your stocks. Own them on-chain.
Traditional markets, on crypto time.
👉 app.allox.ai/stocks
Repost: https://x.com/alloxdotai/status/2120514734302580873
🔥 Cross-chain portfolios are live on AlloX.
Pay once on BNB Chain and get a portfolio whose tokens live on BNB Chain, Base, Arbitrum and Ethereum.
One wallet. One payment. One portfolio.
No bridges to operate. No gas to buy on other chains.
Here's how it works 🧵👇
Until now, your portfolio could only hold tokens on the chain you paid on.
But the best AI, Memes and DeFi names are spread across chains. Holding the…
3,543,810 portfolios built on AlloX.
79.3% of them are in positive P&L.
That's not a backtest. It's live, on-chain, in user wallets.
The difference is the approach: diversified, narrative-based portfolios instead of single token bets.
Past performance does not guarantee future results. Not financial advice.
👉 app.allox.ai
Repost: https://x.com/alloxdotai/status/2120111730265042982
Just tested building cross-chain portfolios on AlloX, and everything went smoothly! 🔥
Coming soon for all users. 👀
Repost: https://x.com/alloxdotai/status/2119807700859293723
What’s your next big conviction?
Whatever it is, there’s probably a narrative for it on AlloX now. 6 new ones are already live:
• Perps & Derivatives
• Liquid Staking
• Oracles & Interop
• Bitcoin Ecosystem
• Exchange Tokens
• RWA
You pick the theme. AlloX AI builds a diversified, on-chain portfolio around it in seconds.
Which one are you building first? Drop it below 👇
app.allox.ai
Repost: https://x.com/alloxd…
Would you buy a token without knowing why?
On AlloX, you never have to.
Every pick comes with a "Why we picked it" note:
• What the project actually does
• The signal that earned its slot
• Why it fits your basket
Full transparency before you invest a single dollar.
👉 app.allox.ai
Repost: https://x.com/alloxdotai/status/2119010791634415659
AlloX shows you the result. Soon, it shows you the reasoning.
Discovery is coming to AlloX: explore before you build.
The same signals our engine uses to pick tokens, now in your hands:
• Hottest narratives by momentum over 24 hours, 7 days and 30 days
• Trending tokens with market cap tier, volume, social buzz and developer activity
• Token pages: what the project does, why the engine likes it, audit tier (A, B, …
🎉 $60,550,000+ invested on-chain through AlloX.
Not trading volume. Real capital sitting in user wallets.
The numbers:
• 2,685,467 users
• 363,588 on-chain portfolios built by AI
• 1,064,006 swaps executed
• $90.4M on-chain volume in the last 30 days
• +$4.5M invested in the last 31 days alone.
AI-powered. Fully on-chain. Non-custodial.
This is just the beginning.
👉 app.allox.ai
Repost: https://x.com/alloxdotai…
Curious what's working on AlloX right now?
Top Portfolios shows the best performers from real users:
• 24 hours, 7 days or 30 days
• The top tokens behind each one
• Narrative and risk profile at a glance
See what's leading. Then build your own.
👉 app.allox.ai/top-portfolios
Repost: https://x.com/alloxdotai/status/2117945557947654394
😁15💯7🔥6⚡4❤4🌚3🙏2🏆1
Showing the 12 most recent of 126 posts we hold for @alloxdotai. 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.
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.
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.
Read from Telegram’s recommendation API, most recently 26 September 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.
📣 Vinu News @Vinu_News · 133,325 Telegram ranks this channel #55 of 88 here — alongside 87 others — read 15 August 2026
Artyfact Announcements @artyfactnews · 224,666 Telegram ranks this channel #57 of 94 here — alongside 93 others — read 15 August 2026
This channel appears in 2 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“AlloX Announcements” (@alloxdotai), 38,757 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/alloxdotai.
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.