Telegram RegisterThe public register of Telegram

Channel

محمد مهربان

@Trad_3D

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,957subscribers

+0 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001780426329
TypeChannel
Username@Trad_3D
CreatedBetween 1 December 2021 and 14 December 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/Trad_3D

Growth

8,95714 Aug 2026, 13:32 — 8,957 subscribers14 Aug 2026, 13:45 — 8,957 subscribers14 Aug 2026, 13:3214 Aug 2026, 13:45
2 measurements taken within a single day. 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 8,948–8,966 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:458,957no change
14 Aug 2026, 13:328,957first reading

Engagement

20 posts held, back to 14 December 2021the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 September 2024. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Videos
76
Links
3

Lifetime counters from Telegram’s own channel header, read 15 August 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.

Video runtime
1h 58m
Average length
8m 27s

Measured directly from 14 videos 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

1,947 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 59.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,15159.1%
❤‍🔥45723.5%
👌29815.3%
👎412.11%

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 20 of the 20 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 1,947reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 14 December 2021 to 8 September 2024, 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

8 Sept 2024, 07:11 UTC≈19,200 views18 reactionsread 15 August 2026
Forwarded from @learnetrade

⭐️کانال اصلیمون جهت دانلود دوره های اساتید 🤫 🔗https://t.me/LearneTrade2 🔗https://t.me/LearneTrade2

👍17👌1

29 Dec 2022, 16:29 UTC≈117,000 views260 reactionsread 15 August 2026

کل دوره معامله‌گر 3بعدی بصورت یکجا اگه فایل رو نمیبینید باید تلگرامتون رو آپدیت کنید!!!!

👌157👍62❤‍🔥26👎15

29 Dec 2022, 16:28 UTC≈138,000 views398 reactionsread 15 August 2026
File

کل دوره معامله‌گر 3بعدی بصورت یکجا ⬇️لینک دانلود پرسرعت 🔐 Password: @LearneTrade

❤‍🔥244👍109👎24👌21

20 Dec 2022, 07:41 UTC≈115,000 views150 reactionsread 15 August 2026
Video

🔴 بخش چهارم (روانشناسی معامله گری) ‏#فصل15: ‏سایکوسایبرنتیک ‏_____________________________ #قسمت73‏: روش تصویرسازی خلاق برای آمادگی دریافت سودهای بزرگ

👍123❤‍🔥17👌10

29 Nov 2022, 06:40 UTC≈108,000 views67 reactionsread 15 August 2026
File

🟣 برنامه جامع مدیریت سرمایه ویژه دوره جامع و رایگان معامله گر 3بعدی 🟣روش کار با این برنامه در قسمت های مربوط به مدیریت سرمایه آموزش داده می شود.

👍52❤‍🔥10👌5

29 Nov 2022, 06:40 UTC≈99,800 views85 reactionsread 15 August 2026
Video

🔴 بخش چهارم (روانشناسی معامله گری) ‏#فصل15: ‏سایکوسایبرنتیک ‏_____________________________ #قسمت72‏: روش تصویرسازی خلاق برای پاک‌سازی حافظه از معاملات قبلی

👍73❤‍🔥7👌5

13 Aug 2022, 10:38 UTC≈90,000 views22 reactionsread 15 August 2026

کانال اصلیمون جهت دانلود دوره های اساتید 👇🏻👇🏻👇🏻 https://t.me/learnetrade2 https://t.me/learnetrade2

👍22

1 Aug 2022, 07:57 UTC≈91,600 views67 reactionsread 15 August 2026
Video

🔴 بخش چهارم (روانشناسی معامله گری) ‏#فصل15: ‏سایکوسایبرنتیک ‏_________ #قسمت71‏: روش تصویرسازی خلاق برای کنترل احساسات منفی وقتی در ضرر هستید

👍54❤‍🔥7👌6

1 Aug 2022, 07:57 UTC≈86,100 views70 reactionsread 15 August 2026
Video

🔴 بخش چهارم (روانشناسی معامله گری) ‏#فصل15: ‏سایکوسایبرنتیک ‏_________ #قسمت70‏: روش تصویرسازی خلاق برای کنترل احساسات منفی وقتی در سود هستید

👍60❤‍🔥7👌3

20 Dec 2021, 07:50 UTC≈98,900 views87 reactionsread 15 August 2026
File

🔰 تایپ و آماده سازی مکتوب مجموعه ی کامل معامله گر سه بعدی ♥️ (روانشناسی معامله گری) | شصت و چهارقسمت به صورت کامل ❤️تشکر از محمد مهربان عزیز و دوستی که این مجموعه ی ارزشمند رو تایپ کردند و برای ما ارسال کردند.

👍74❤‍🔥12👌1

14 Dec 2021, 08:31 UTC≈92,200 views75 reactionsread 15 August 2026
Video

🔴بخش چهارم (روانشناسی معامله گری) ‏#فصل15: ‏سایکوسایبرنتیک ‏_____________________________ #قسمت69: روش تصویرسازی خلاق برای ورود به یک معامله

👍64❤‍🔥8👌2👎1

14 Dec 2021, 08:31 UTC≈85,300 views64 reactionsread 15 August 2026
Video

🔴بخش چهارم (روانشناسی معامله گری) ‏#فصل15: ‏سایکوسایبرنتیک ‏_____________________________ #قسمت67‏: تکنیک‌‌هایی برای ریلکسیشن

👍52👌7❤‍🔥5

Showing the 12 most recent of 20 posts we hold for @Trad_3D. 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.

Citation-graph rank

Citation-graph rank — 1,476,731 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“محمد مهربان” (@Trad_3D), 8,957 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Trad_3D.

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.