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Channel

کانال بازار مشتقات برای همه

@derivativesforall

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

1,038subscribers

+1 since we began measuring on 4 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001983407342
TypeChannel
Username@derivativesforall
CreatedBetween 1 April 2023 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 September 2026
Last confirmed live6 September 2026
Measurements held2
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/derivativesforall

Growth

1,0371,0381,037.54 September 2026 — 1,037 subscribers6 September 2026 — 1,038 subscribers4 September 20266 September 2026
2 measurements spanning 2 days, net +1. 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 1,037–1,038 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Sept 2026, 21:371,038+1
4 Sept 2026, 14:221,037first reading

Engagement

18 posts held, back to 23 September 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.2%
avg views ÷ 1,038 subscribers
Avg views / post
324
4 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
4
of 18 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
WindowRolling 30 days · latest post in window 25 August 2026
Posts held18 (23 September 202525 August 2026)
Views total1,295
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 14:22 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

Video runtime
2m 00s
Average length
2m 00s

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

115 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 53.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6153.0%
👍3328.7%
🙏1210.4%
👌86.96%
👎10.87%

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 16 of the 18 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 115 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 23 September 2025 to 25 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.

Recent posts

25 Aug 2026, 09:41 UTC330 views9 reactionsread 4 September 2026

کلام اخر. لطفا هرتحلیلی رو قبول نکنیم و احساسی در مورد موضوعات تصمیم نگیریم. هر دوستی که این تحلیل از نظرش درسته. همین امروز بازار مشتقه رو بزار کنار لطفا هنوز دنبال سودهای نجومی هستیم! مملکت تورم داره. اما بازار مشتقه قرار نیست جبرانش کنه

👍9

Signed فرنوش دوات گرزاده

25 Aug 2026, 08:54 UTC237 views0 reactionsread 4 September 2026
Forwarded from @BehnamSamadi_irPhoto

باخت سنگین سهامداران انار 🔵صندوق سهامی انار با تمرکز بر استراتژی کاوردکال در یکسال اخیر بازدهی ۶۰ درصدی رو خلق کرده؛ 🔵دیگر صندوق سهامی گروه ترنج یعنی سرو در همین مدت موفق به ثبت بازدهی ۱۴۱ درصدی شده! ◀️تجربۀ تلخ انار نشون داد خطاهای محاسباتی مدیران صندوق‌ها و تغییرات ناگهانی استراتژی‌های معاملاتی تا حد می‌تونه باعث زیان و سلب‌اعتماد سهامداران بشه. @BehnamSamadi_ir ☑️

Signed فرنوش دوات گرزاده

25 Aug 2026, 08:54 UTC300 views5 reactionsread 4 September 2026

وقتی یکی دانش کاری رو نداره هر تحلیلی ارائه میده ساده ترین تحلیل این هست، رسالت این صندوق ها متفاوت و کارش ساختن سود بالاتر از صندوق درآمد ثابت با ریسک کم تر و بازدهی بالاتر برا دیده شدن هرچیزی رو نزاریم. باز یخرده همه چی آروم شده چسبیدن به بازار مشتقه

👍5

Signed فرنوش دوات گرزاده

20 Aug 2026, 09:47 UTC428 views1 reactionsread 4 September 2026
Photo

@Sahraoption ble.ir/join/7e2UjLscNo

1

Signed فرنوش دوات گرزاده

19 Jun 2026, 18:21 UTC806 views6 reactionsread 4 September 2026

در بررسی اخیر مدل قیمت‌گذاری آپشن بارندورف-نیلسن و شپرد (BNS)، بیش از پیش به توانمندی این چارچوب در بازنمایی پویایی‌های واقعی بازار پی بردم. مدل BNS بر این اصل استوار است که نوسان‌پذیری، فرآیندی ایستا نیست. این متغیر ممکن است برای دوره‌هایی نسبتاً خاموش باشد، اما به‌ناگاه با جهش‌های قابل‌توجهی همراه می‌شود. این مدل با بهره‌گیری از فرآیندهای بازگشت به میانگین یا به بیانی دیگر بازگشت نوسانات به سطح بلندمدت، امکان بروز

5👍1

Signed فرنوش دوات گرزاده

19 Jun 2026, 18:21 UTC674 views1 reactionsread 4 September 2026
Photo

Photo, posted without a caption

1

Signed فرنوش دوات گرزاده

6 Jun 2026, 11:35 UTC879 views5 reactionsread 4 September 2026

📊 مدل‌های قیمت‌گذاری جامپ-دیفیوژن (پواسون)؛ ضرورتی برای بازارهای واقعی مدل‌های بلک-شولز فرض می‌کنند قیمت دارایی همواره پیوسته حرکت می‌کند، اما در دنیای واقعی، شوک‌های ناگهانی (مثل اخبار اقتصادی، بحران‌ها یا سقوط‌های ناگهانی) بارها دیده می‌شوند. اینجاست که مدل‌های Jump-Diffusion وارد می‌شوند. این مدل‌ها با افزودن یک فرآیند پواسون (Poisson Process) به حرکت براونی، پدیده‌های نادر اما تأثیرگذار را شبیه‌سازی می‌کنند. 🔑

5

Signed فرنوش دوات گرزاده

6 Jun 2026, 11:34 UTC635 viewsread 4 September 2026
Photo

Photo, posted without a caption

Signed فرنوش دوات گرزاده

1 Jun 2026, 19:00 UTC≈2,270 viewsread 4 September 2026
File

مدل کُو نشان می‌دهد که واکنش بیش‌ازحد و کم‌واکنشی بازار می‌توانند با ساختار پرش‌ها توضیح داده شوند؛ بنابراین این مدل تنها یک ابزار ریاضی نیست، بلکه تلاشی برای نزدیک‌تر کردن مدل مالی به رفتار واقعی بازار است. این مقاله یک مدل پیشرفته برای قیمت‌گذاری اختیار معرفی می‌کند که با افزودن پرش‌های تصادفی دو نمایی به حرکت قیمت، هم واقع‌گراتر از بلک-شولز است و هم برای محاسبات مالی کارآمد و تحلیلی می‌ماند. @derivativesforall

Signed فرنوش دوات گرزاده

26 May 2026, 08:22 UTC≈1,040 views4 reactionsread 4 September 2026

این فیلم ها بهتون کمک میکنه ببینید چقدر از پس کار میاید اگر میخواید پولاتونو از دست بدین. خب بدین به تیم ما چرا غریبه😄😄😄😄

👌4

Signed فرنوش دوات گرزاده

26 May 2026, 08:21 UTC969 views5 reactionsread 4 September 2026

با سلام و احترام بعنوان عضو کوچکی از خانواده بازاذ مشتقه یک توصیه دوستانه دارم. الان که بازار مثبت باز شده و بازار پکیج فروشان داغ شده. تحت تاثیر قرار نگیرید. و پول به دوره ای که مطمئن نیستید ندین.

👌41

Signed فرنوش دوات گرزاده

Showing the 12 most recent of 18 posts we hold for @derivativesforall. 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

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.

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.

پادکست سکه
@Sekke_Podcast · 33,201
Telegram ranks this channel #10 of 65 here — alongside 64 others — read 4 September 2026
ماجرای مشروطه با امیر خادم
@mashrutehwithAmirKhadem · 27,703
Telegram ranks this channel #74 of 89 here — alongside 88 others — read 10 September 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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“کانال بازار مشتقات برای همه” (@derivativesforall), 1,038 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/derivativesforall.

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.