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CIS Channel: @arbitragescanner_ru
Created
Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
62 measurements spanning 93 days, net -333. 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 19,520–19,970 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
6 Nov 2026, 23:41
19,572
-13
5 Nov 2026, 22:26
19,585
-4
4 Nov 2026, 20:26
19,589
-6
3 Nov 2026, 21:56
19,595
-1
2 Nov 2026, 18:16
19,596
+1
1 Nov 2026, 21:17
19,595
-2
31 Oct 2026, 21:00
19,597
-15
30 Oct 2026, 20:59
19,612
-4
29 Oct 2026, 22:17
19,616
-22
29 Oct 2026, 01:18
19,638
+3
27 Oct 2026, 22:30
19,635
-20
26 Oct 2026, 20:30
19,655
-1
25 Oct 2026, 19:27
19,656
-6
24 Oct 2026, 21:36
19,662
+6
23 Oct 2026, 22:59
19,656
-8
23 Oct 2026, 00:21
19,664
+5
22 Oct 2026, 02:11
19,659
-12
20 Oct 2026, 21:17
19,671
-5
19 Oct 2026, 19:37
19,676
-8
18 Oct 2026, 19:25
19,684
first reading
Engagement
36 posts held, back to 17 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.66%
avg views ÷ 19,572 subscribers
Avg views / post
1,110
12 posts measured
Reaction rate
3.99%
reactions ÷ views · ER floor
Posts in window
13
of 36 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 6 November 2026
Posts held
36 (17 July 2026 – 6 November 2026)
Views total
13,303
Reactions total
531
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 03:22 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
535
Videos
7
Links
461
Lifetime counters from Telegram’s own channel header, read 7 November 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.
Reaction mix
1,920 reactions across 34 posts, in 8 distinct kinds. The most used accounts for 18.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
362
18.9%
🔥
278
14.5%
🤩
271
14.1%
😍
263
13.7%
👍
256
13.3%
🎉
246
12.8%
❤🔥
243
12.7%
⚡
1
0.052%
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 35 of the 36 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 3,448 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 17 July 2026 to 6 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: 0 of 13 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).
🌴 Liquidity Whales Hookah Night: ArbitrageScanner × CoinW in Dubai
Ahead of Blockchain Life, we’re hosting a top-tier side event together with the CoinW exchange 🔥
It’s an evening in an informal setting where crypto, hookahs, and networking with industry leaders come together: founders, investors, and market whales all in one place.
📅 November 30
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👻 Halloween at ArbitrageScanner: free subscription upgrade
This year, instead of «trick or treat,» it’s «tier or higher tier» 🎃
Pay for a subscription before November 7, and we’ll upgrade you to the next tier for free. The upgrade lasts for your entire subscription period, not just a couple of days.
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🔥 UP TO 22.6% IN PRICE DIFFERENCES. HERE’S WHAT WE SAW.
Over the past few days, we shared several arbitrage setups:
⚡ ETH: the price gap between Bybit and Uniswap V3 reached 22.6%.
⚡ $BULLA: the cumulative funding differential across eight payments on Aster and Binance totaled +1.5233%.
⚡ $PTB: the spread between Aster and Binance reached 8%, alongside a funding rate difference of around 0.6%.
Reading about thes…
The biggest exchange hack in history. A breakdown of October 29–30 and how arbitrage traders could have cashed in
While everyone was hitting refresh on Binance’s status page, the market spent several hours handing out spreads that normally live for seconds. Here are some of the arbitrage trades that were on the table last night:
Uniswap → Bybit perps
PROVE: 355% ONDO: 260% CVC: 244% on V3, 121% on V2 MASK: 229% JASM…
Results as of today:
$BULLA on Aster and Binance: over 8 funding payments on October 26–27, the rate difference for a long on Aster and a short on Binance came to +1.5233%.
The image shows each funding payment separately. Did you catch this setup?
This is funding only, not counting spread convergence. The funding difference is still there now.
Not financial advice.
Keep an eye on $BULLA on Aster and Binance.
— The spread has already reached 1%.
— On the last funding payment, the funding rate difference was 0.13%.
— The spread is currently around 0.6%, and based on current rates, the difference for the next funding payment is about 0.2% in our favor.
The spread on this pair often widens and narrows. Before entering a trade, check the funding rates and order book depth: rates c…
🔴 Live webinar this Thursday,
October 29, at 8:00 PM Dubai time
The market is falling, but arbitrage traders keep making money. We’ll show you how it works and introduce our new tool 👀
What’s on the webinar: 🤖 AI dashboards. How they’re built, what they can do, and how they help you find and analyze setups faster. We’ll build one live on air. 📉 Market insights. Where the money is right now and how to profit in a fa…
We’re currently looking at a trade on $PTB: a spread of up to 8% and a funding rate difference of around 0.6%.
An interesting pairing — Aster and Binance. But the coin is volatile, so it’s best not to overdo the leverage and to keep an eye on your position. Before entering, check the current conditions on both exchanges.
Binance: https://www.binance.com/en/futures/PTBUSDT
Aster: https://www.asterdex.com/en/trade/pr…
+5% on funding in 2 days. No guessing where the price goes
Check the screenshot. One coin, 8 funding payments in a row from October 17 to 19. Funding went negative on every exchange, but Gate had the lowest rate, hitting −1.68% in a single payment.
The setup is simple: go long on Gate and short wherever funding is closest to zero (XT / Mexc / Bybit).
The positions hedge each other, so price moves don’t matter to u…
❤🔥11👍6🎉5🔥4😍4🤩3
Showing the 12 most recent of 36 posts we hold for @arbitragescanner_eng. 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 3 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.
Arbitragescanner (ru) - сканер для арбитража криптовалют @arbitragescanner_ru · 14,714#1
Read from Telegram’s recommendation API, most recently 30 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.
Arbitrage Services @Arbitrage_Services · 22,893 Telegram ranks this channel #8 of 71 here — alongside 70 others — read 30 September 2026
Dr Michael Nehls ⋆ @DrMichael_Nehls_0 · 304,550 Telegram ranks this channel #35 of 73 here — alongside 72 others — read 15 August 2026
Spread Maker | Арбитраж криптовалют @SpreadMaker · 22,787 Telegram ranks this channel #72 of 77 here — alongside 76 others — read 30 September 2026
This channel appears in 3 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Arbitrage Scanner (official)” (@arbitragescanner_eng), 19,572 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/arbitragescanner_eng.
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.