Channel
@faratahliil
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,447subscribers
+72 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001241029350 |
|---|---|
| Type | Channel |
| Username | @faratahliil |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/faratahliil |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 19:24 | 1,447 | +32 |
| 14 Aug 2026, 19:05 | 1,415 | -10 |
| 11 Aug 2026, 14:02 | 1,425 | +9 |
| 8 Aug 2026, 03:52 | 1,416 | +41 |
| 7 Aug 2026, 22:19 | 1,375 | no change |
| 7 Aug 2026, 19:01 | 1,375 | first reading |
20 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.
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 18 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (5 August 2026 – 7 August 2026) |
| Views total | 11,818 |
| Reactions total | 123 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 22:19 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.
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.
123 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 35.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 43 | 35.0% | |
| 👍 | 36 | 29.3% | |
| 👌 | 20 | 16.3% | |
| 🥰 | 7 | 5.69% | |
| 😍 | 6 | 4.88% | |
| 😁 | 5 | 4.07% | |
| 🍓 | 2 | 1.63% | |
| 👎 | 2 | 1.63% | |
| 👏 | 2 | 1.63% |
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 18 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 123reactions 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 5 August 2026 to 7 August 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.
📍جمعبندی تحولات هفته گذشته؛ از بازدهی صنایع و بورس تا روند دلار، طلا، نفت و انس جهانی، همراه با استراتژی پیشنهادی برای هفته آینده #بورس #سهام #شاخص_کل #دلار #طلا #انس_طلا #نفت #تحلیل_بازار #استراتژی_سرمایه_گذاری #فراتحلیل @faratahliil
👌11👍4👏2❤1
📆بازدهی بازار ها در هفته دوم مرداد ماه: 📍بازار سهام بالاترین بازدهی. 📍دلار و صندوق سینرژی پایینترین بازدهی. @faratahliil
👍5
📍ورود(خروج) پول به بازار ها در هفته ای که گذشت. ✅رونق بازار سهام در سایه ریسک ها @farataliil
❤4
#انس_طلا #انس_نقره #مس 📊 مقایسه بازدهی یکساله انس طلا، انس نقره و مس ‼️در یک سال گذشته، بازدهی انس نقره و مس اختلاف قابلتوجهی با انس طلا داشته است. ✔️با توجه به روندهای بلندمدت و افزایش تقاضا در این بازارها، انتظار میرود این اختلاف بازدهی در سالهای آینده نیز تا حدی ادامهدار باشد. 📝بنابراین، اگر به دنبال سرمایهگذاری در داراییهای امن هستید، بهتر است علاوه بر طلا، نیمنگاهی به نقره و مس نیز داشته باشید. 📍تاک…
❤5
🔰واکنش نفت به محدوده مورد انتظار. @faratahliil
👍4
#فملی ✅برای فملی انتظار اصلاح تا محدوده 1300-1500 رو داشتیم که سهم تا 1380 هم افت داشت. در ادامه فملی میتونه تا 2000 و 2400 رشد داشته باشه و اگر اصلاحی در پیش باشه بعد از تاچ این تارگت ها احتمالا رخ میده. ❗️بازار و شاخص رو باید با فملی دید، فملی میانمدت تارگت های 3000 و 4000 تومنی داره، این یعنی شاخص کل بالای 8الی10 میلیون 😉 @faratahliil
👍12👎1
توی تحلیل #غاذر یه دستیار هم بهم کمک کرد. البته گویا تارگت های کوکی بالاتره😁🐈
🥰7😁5🍓2
#غاذر ✅غاذر در صنعت غذایی جزو شرکت هایی هست که در یکی دو سال اخیر متحول شده و برخلاف سال های گذشته گزارشات سهخم بسیار خوب و منظم شده. 📍جزو شرکت هایی هست که شخصا دیدگاه بلند مدتی بهش دارم، این سهم داره اخرین موج صعودی کوتاه مدتش رو طی میکنه و میتونه تا محدوده 2800-3000 رشد داشته باشه، بعد از یه استراحت یکی دو ماهه میتونه تارگت های خوبی داشته باشه. 📍تارگت میانمدت: محدوده 4500-5000 @faratahliil
❤7👎1
#سجام ✅سجام به نسبت سقاین رشد کمتری داشته و از قدرت روند #سقاین برخرودار نبوده اما از شرکت های خوب صنعت سیمانه. 📍سجام هم مثل سقاین میتونه رشدشو در قالب موج e تا محدوده 950-1000 ادامه بده و اصلاحی مشابه سقاین داشته باشه. 📍تارگت میانمدت: محدوده 1500 @faratahliil
❤6
#سقاین ✅سقاین در قالب موج e داره حرکت خودشو تکمیل میکنه، پتانسیل رشد کوتاه مدتی تا محدوده 2800-3000 رو داره، بعد از اتمام این موج میتونه یکی دو ماه اصلاح داشته باشه و ادامه روند صعودی. 📍تارگت میانمدت: محدوده 3500-4000 @faratahliil
❤6
#فملی ✅فملی در تیرماه ۱۴۰۵ با ثبت ۵۱۳.۷ هزار میلیارد ریال فروش، عملکردی بسیار قدرتمند را به نمایش گذاشت. مبلغ فروش شرکت نسبت به مدت مشابه سال قبل ۲۵۲ درصد و نسبت به ماه قبل ۲۲ درصد افزایش یافته است. 📍این رشد در شرایطی رقم خورده که نرخ فروش محصولات نسبت به ماه قبل تغییری نداشته و افزایش درآمد عمدتاً از رشد ۱۲ درصدی مقدار فروش ناشی شده است. همچنین نرخ فروش نسبت به تیر سال گذشته ۱۸۸ درصد افزایش یافته که بیانگر اثر رشد…
❤5👌3
🔰امروز یه بررسی از گزارش ماهانه #فملی داشته باشیم و بریم چارت #سقاین #سجام #غاذر و #فملی رو داشته باشم(شرکت هایی که بررسی بنیادی داشتیم و شرایط مطلوبی داشتن) پرسود باشید✌🏻 @faratahliil
❤4
Showing the 12 most recent of 20 posts we hold for @faratahliil. 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 — 1,035,614 of 1,481,306entries 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.
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.
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.
@faratahliil named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Fara Tahlil | محمدخادمی” (@faratahliil), 1,447 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/faratahliil.
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.