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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
27 measurements spanning 38 days, net -16. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:39
11,451
+3
14 Sept 2026, 18:56
11,448
-4
13 Sept 2026, 13:22
11,452
+11,450
13 Sept 2026, 05:41
2
-11,468
11 Sept 2026, 05:58
11,470
+12
8 Sept 2026, 07:55
11,458
-12
5 Sept 2026, 03:37
11,470
-1
3 Sept 2026, 09:42
11,471
+2
2 Sept 2026, 03:58
11,469
-2
1 Sept 2026, 06:14
11,471
-1
31 Aug 2026, 05:54
11,472
-3
30 Aug 2026, 02:56
11,475
+4
29 Aug 2026, 02:54
11,471
+3
28 Aug 2026, 04:44
11,468
+3
27 Aug 2026, 03:42
11,465
+1
26 Aug 2026, 03:34
11,464
+8
25 Aug 2026, 00:07
11,456
-14
23 Aug 2026, 08:06
11,470
-2
21 Aug 2026, 19:59
11,472
-8
20 Aug 2026, 19:34
11,480
first reading
Engagement
55 posts held, back to 16 May 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 32 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.36%
avg views ÷ 11,451 subscribers
Avg views / post
270
34 posts measured
Reaction rate
0.266%
reactions ÷ views · ER floor
Posts in window
34
of 55 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 2 of 34 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 13 September 2026
Posts held
55 (16 May 2024 – 13 September 2026)
Views total
9,179
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Sept 2026, 13:22 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.
Reaction mix
6 reactions across 3 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
100.0%
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 4 of the 55 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 16 May 2024 to 13 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.
Showing the 12 most recent of 55 posts we hold for @Fx_Indicator_MT4_MT5. 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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
Books on Leadership & Personal Development / Kitaaba Gaggeessumaa/ የመሪነት መፅሐፍት🇪🇹🇫🇷🇪🇬🇬🇷🇩🇲🇨🇽🇬🇸🇬🇧🇺🇬🇻🇳📚 @lead_2020 · 34,515 Telegram ranks this channel #1 of 57 here — alongside 56 others — read 3 September 2026
Motivational Books @Daily_Newspapersz · 41,630 Telegram ranks this channel #1 of 48 here — alongside 47 others — read 29 August 2026
SELF DEVELOPMENT BOOKS (SDB) @selfdevbooks · 23,862 Telegram ranks this channel #2 of 60 here — alongside 59 others — read 17 September 2026
Readers Books Club @readersbooksclub · 25,488 Telegram ranks this channel #2 of 55 here — alongside 54 others — read 14 September 2026
𝗦𝗲𝗹𝗳 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗕𝗼𝗼𝗸𝘀 @selfimprovementbooks1 · 43,473 Telegram ranks this channel #2 of 69 here — alongside 68 others — read 28 August 2026
Self Help Books (PDFs) @selfhelpbookspdfsfree · 30,721 Telegram ranks this channel #3 of 63 here — alongside 62 others — read 7 September 2026
Free PDF Books on Management, Commerce, Business, Economics, HR, Leadership, Strategy, Communication, Entrepreneurship @ProfVermaVishal · 33,417 Telegram ranks this channel #3 of 56 here — alongside 55 others — read 4 September 2026
International Books and Magazines @international_newspaper · 30,179 Telegram ranks this channel #4 of 48 here — alongside 47 others — read 7 September 2026
BookWorld Atomic Habits Rich Dad Poor Dad The Alchemist Ikigai The 5 Am Club Think And Grow Rich The 48 Laws Of Power @BookWorldReal · 31,900 Telegram ranks this channel #4 of 57 here — alongside 56 others — read 5 September 2026
Books | Selfhelp | Nonfiction @books_rec · 63,443 Telegram ranks this channel #4 of 69 here — alongside 68 others — read 21 August 2026
Psychology books @bookspsychology101 · 31,086 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 6 September 2026
Rare Books Of India @Indian_History_Books_PDF_UPSC · 57,467 Telegram ranks this channel #6 of 57 here — alongside 56 others — read 23 August 2026
eBooks Cafe @eBooksCafe · 62,290 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 21 August 2026
eBook Room @eBookRoom · 332,968 Telegram ranks this channel #6 of 62 here — alongside 61 others — read 12 August 2026
Industrial Knowledge @nikunjbhoraniya · 25,066 Telegram ranks this channel #9 of 71 here — alongside 70 others — read 14 September 2026
School Of Wealth 🤑 @Success_Skills_keys · 43,850 Telegram ranks this channel #9 of 80 here — alongside 79 others — read 28 August 2026
Books Hub: Free Ebook & Audiobook @bookshub25 · 276,668 Telegram ranks this channel #9 of 64 here — alongside 63 others — read 12 August 2026
English Novels @EnglishNovels_Classic · 22,726 Telegram ranks this channel #10 of 55 here — alongside 54 others — read 20 September 2026
ECONOMIC AND POLITICAL WEEKLY MAGAZINE @EPW_MAGAZINE · 30,591 Telegram ranks this channel #10 of 50 here — alongside 49 others — read 7 September 2026
Business Lessons™ @Business_Idea4 · 39,489 Telegram ranks this channel #11 of 48 here — alongside 47 others — read 30 August 2026
Books @books · 215,007 Telegram ranks this channel #11 of 70 here — alongside 69 others — read 12 August 2026
Active English ᵖˡᵘˢ @Activeenglishplus · 54,343 Telegram ranks this channel #14 of 73 here — alongside 72 others — read 23 August 2026
BUSINESS STANDARD @BUSINESS_STANDARD_NEWSPAPER_PDF · 30,747 Telegram ranks this channel #15 of 49 here — alongside 48 others — read 7 September 2026
Harvard Business Review @hbr_uz · 28,226 Telegram ranks this channel #19 of 58 here — alongside 57 others — read 10 September 2026
This channel appears in 42 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Forex MT4 MT5 Indicators” (@Fx_Indicator_MT4_MT5), 11,451 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Fx_Indicator_MT4_MT5.
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.