ماهو التداول Trading وكيف ابدأ التداول وماهي الاسواق الموثوقة What is Trading تعرف على ماهو #التداول #Trading وكيف تبدأ من الصفر، وأهم #الأسواق_المالية، وكيف تختار #منصات_التداول_الموثوقة وتتجنب شركات التداول النصابة ومخاطر الخسارة. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/what-is-trading.html

Channel
Muhammad Alush
@MuhammadAlush0997
On this record: Topic · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
23,953subscribers
-1,223 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001799062880 |
|---|---|
| Type | Channel |
| Username | @MuhammadAlush0997 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 21 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 21 October 2026 |
| On Telegram | t.me/MuhammadAlush0997 |
Topic
Hacking & security — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 5 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Oct 2026, 19:11 | 23,953 | -30 |
| 20 Oct 2026, 12:35 | 23,983 | -15 |
| 19 Oct 2026, 13:45 | 23,998 | -12 |
| 18 Oct 2026, 15:16 | 24,010 | -6 |
| 17 Oct 2026, 18:17 | 24,016 | -13 |
| 16 Oct 2026, 16:29 | 24,029 | -16 |
| 15 Oct 2026, 15:55 | 24,045 | -13 |
| 14 Oct 2026, 17:29 | 24,058 | -32 |
| 13 Oct 2026, 08:31 | 24,090 | -63 |
| 9 Oct 2026, 04:41 | 24,153 | -68 |
| 4 Oct 2026, 15:15 | 24,221 | -97 |
| 26 Sept 2026, 08:57 | 24,318 | -99 |
| 17 Sept 2026, 10:39 | 24,417 | -29 |
| 15 Sept 2026, 07:18 | 24,446 | -14 |
| 13 Sept 2026, 15:18 | 24,460 | -22 |
| 11 Sept 2026, 22:16 | 24,482 | -30 |
| 9 Sept 2026, 11:20 | 24,512 | -86 |
| 6 Sept 2026, 04:59 | 24,598 | -36 |
| 3 Sept 2026, 21:20 | 24,634 | -21 |
| 2 Sept 2026, 11:03 | 24,655 | first reading |
Engagement
88 posts held, back to 15 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 101 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.43%
- avg views ÷ 23,953 subscribers
- Avg views / post
- 1,060
- 17 posts measured
- Reaction rate
- 0.059%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 88 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 8 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 October 2026 |
|---|---|
| Posts held | 88 (15 July 2026 – 19 October 2026) |
| Views total | 18,048 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Oct 2026, 04:09 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
40 reactions across 27 posts, in 6 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 80.0% | |
| 🤣 | 4 | 10.0% | |
| 👍 | 1 | 2.50% | |
| 🔥 | 1 | 2.50% | |
| 🙊 | 1 | 2.50% | |
| 🥰 | 1 | 2.50% |
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 36 of the 88 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 88 most recent posts we hold, published 15 July 2026 to 19 October 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
جوجل ويونيتي تطلقان Playground لإنشاء ألعاب الفيديو بالذكاء الاصطناعي Google Unity playground ai game creation تعرّف على Google Playground وتجربة #إنشاء_ألعاب_الفيديو بـ #الذكاء_الاصطناعي باستخدام #الأوامر_النصية، وكيف يمكن لهذه #التقنية أن تساعد المبتدئين والمطورين على #تحويل_أفكارهم إلى تجارب تفاعلية دون الحاجة إلى خبرة كبيرة في البرمجة. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/google…
دليل شامل للمبتدئين عن الراوتر #Router وكيفية نقل البيانات بين الشبكات Router how data moves between networks اكتشف كيف يعمل #الراوتر وكيف تنتقل #البيانات بين #الشبكات المختلفة. دليل شامل للمبتدئين يشرح مفاهيم الشبكات و #توجيه_البيانات بطريقة مبسطة لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/router-how-data-moves-between-networks.html
ماهو هجوم تجانس الأحرف Homograph Attack وكيف يكون Homograph attack generator هجوم #تجانس_الأحرف هو #أسلوب_خداع_رقمي يستغل #التشابه في الشكل بين حرفين أو أكثر لتمرير اسم نطاق أو نص مزيف على أنه اسم حقيقي. يُعرف هذا النوع من #الهجمات أيضًا باسم #هجوم_النطاقات_المتشابهة بصريًا (Homograph Domain Attack)، ويُستخدم كثيرًا ضمن حملات التصيد الإلكتروني (Phishing). لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.c…
كيفية تحويل الفيديو إلى نص مكتوب باستخدام الذكاء الاصطناعي Converting video to text using artificial intelligence أصبح #تحويل_الفيديو إلى #نص_مكتوب من أبرز الاستخدامات العملية لتقنيات #الذكاء_الاصطناعي، إذ يمكن للمستخدمين استخراج الكلام من مقاطع #الفيديو و #التسجيلات_الصوتية وتحويله إلى نصوص قابلة للتحرير وإعادة النشر. وتساعد هذه التقنية على توفير الوقت والجهد، خاصةً للصحفيين والطلاب وصنّاع المحتوى وأصحاب المواقع وا…
❤1
رفع الصور والملفات وتخزينها وعرضها File Storage في Laravel Laravel file storage upload files تعلّم كيفية التعامل مع File Storage و #رفع_الملفات و #الصور، مع شرح إعداد #Disks وتخزين #الملفات، والتحقق من الملفات المرفوعة، و #حفظ #مساراتها في #قاعدة_البيانات، و #عرضها و #حذفها واستبدالها، بالإضافة إلى استخدام storage:link والتعامل مع التخزين العام والخاص في Laravel 13. لقراءة الدرس #الثالث_عشر من Laravel من خلال الراب…
أفضل 7 أدوات ذكاء اصطناعي للمبرمجين Best AI Tools for developers استكشف أفضل 7 #أدوات_ذكاء_اصطناعي للمبرمجين لعام 2026. تعلم كيف تضاعف سرعتك في #كتابة_الكود وتصحيح #الأخطاء واختيار الأداة الأنسب لمشروعك عبر نسور التقنية. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/best-ai-tools-for-developers.html
❤2
دليل استخدام Cursor AI ثورة في كتابة الكود وتسريع التطوير Cursor AI developer guide دليل شامل ومبسط لشرح استخدام #محرر Cursor AI وكيف يغير شكل #البرمجة و #تطوير_البرمجيات. اكتشف أهم المميزات، كيفية التثبيت، وأفضل الممارسات لتسريع كتابة #الكود. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/cursor-ai-developer-guide.html
❤1
كيف تعمل بصمة الهاتف؟ وهل يمكن اختراقها؟ how smartphone fingerprint works can it be hacked تعرف على آلية عمل #بصمة_الهاتف الذكي وأنواع #الحساسات (الضوئية، السعوية، والألتراسونيك)، وكيف يتم #تشفير_بياناتك البيومترية. وهل يمكن اختراق #البصمة بالفعل؟ دليل شامل لحماية هاتفك. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/how-smartphone-fingerprint-works-can-it-be-hacked.html
أفضل 12 ميزة ذكية في Google Drive ربما لم تكن تعرفها top 12-smart google drive features you didnt know اكتشف أفضل 12 #ميزة_ذكية وخفية في #Google_Drive لزيادة إنتاجيتك، وتنظيم #ملفاتك، وتسريع #عملك_الجماعي وحمايتها بكل سهولة. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/top-12-smart-google-drive-features-you-didnt-know.html
🔥1
ما هو السيرفر؟ شرح شامل للسيرفر ومكوناته وكيف يعمل What is a Server components and how it works تعرف على مفهوم #السيرفر (#الخادم) وكيف يعمل بشكل مبسط، مع شرح شامل لأبرز مكوناته العتادية والبرمجية وأهميته في #تشغيل_المواقع والتطبيقات عبر الإنترنت. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/what-is-a-server-components-and-how-it-works.html
الصلاحيات و الأدوار Authentication في Laravel Laravel Authentication شرح مفهوم #Authorization وكيفية بناء نظام #الصلاحيات و #الأدوار باستخدام #Gates و #Policies ، مع شرح حماية الـ #Routes والـ #Controllers و #Blade، وتحديد #صلاحيات المستخدمين مثل Admin وEditor وUser، بالإضافة إلى تطبيق عملي على صلاحيات تعديل وحذف المقالات. لقراءة الدرس #الثالث_عشر من Laravel من خلال الرابط الآتي : https://www.nusurtech.ca/2026/09/l…
Showing the 12 most recent of 88 posts we hold for @MuhammadAlush0997. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@CyberSecAM · 44,1523 postsWHATSAPP
@whatsap_Pr · 922 postsتصاميم CV إحترافية
@CV_26 · 751 postتعلم لغة JAVASCRIPT ©️
@NusurTech_JS · 2,0211 postتعلم لغة PYTHON ©️
@PYTHON_PT1 · 18,1761 postYhya Nesb
@YhyaNesb · 6241 postمكتب سجى تك للخدمات الطلابية 🇸🇦
@sajatech1 · 61 postSD.01
@sd01sd · 11 post
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 15 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.
@AnonymusYemenn · 54913 postsThe Hacking Library
@hackerlibrary · 32913 postsProgram
@HIsIt · 4613 postsPowerOfScience
@powerofscience · 25313 postsبــرو تــك Pro Tech
@pro_8tech · 63613 postsوعي مجاهد🔥 🇾🇪
@WaieMujahid1 · 5313 postsتعلم لغة PYTHON ©️
@PYTHON_PT1 · 18,1769 postsWHATSAPP
@whatsap_Pr · 926 postsYemen Prue
@TBH811 · 1693 postsSD.01
@sd01sd · 12 postsتصاميم CV إحترافية
@CV_26 · 751 postHLOO BOT 🤖
@HLOOBOT · 3831 postتعلم لغة JAVASCRIPT ©️
@NusurTech_JS · 2,0211 postمكتب سجى تك للخدمات الطلابية 🇸🇦
@sajatech1 · 61 postYhya Nesb
@YhyaNesb · 6241 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@MuhammadAlush0997 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 28 September 2026 – 28 September 2026
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.
@NusurTech · 10,223#1
@Network_Cybeer · 19,261#2
@cyberCSOC · 11,564#3
@it_certificate · 6,394#4
@m_r_o_o2 · 12,662#5
@YhyaNesb · 624#6
@Crypto_p4p · 18,045#7
@IndexShow · 5,809#8
@Shadows_Garden · 2,362#9
@CyberLibrary0_0 · 9,384#10
@Courses_Udemy_Free1 · 13,109#11
@cyber_fu · 6,904#12
@yemenosint · 3,435#13
@faswadi · 8,383#14
@CyberSecurityforall24 · 34,996#15
@Ecp_0 · 7,253#16
@cibersecurityyyy · 16,507#17
@Salafalamah · 1,369 (as read 20 September 2026)#18
@pa4best · 23,780#19
@ZeroSecur1ty · 5,175#20
@sourcetech100 · 1,616#21
@Cybersecurity_Qannas · 8,231#22
@hack_arbic · 3,259#23
@mastarropot · 17,659#24
@Termux_CS · 4,206#25
@Exiistential_Philosophy · 2,545#26
@Linux_Arabss · 25,479#27
@w_of_Courses · 13,755#28
@recoveredchannel · 2,214#29
@samamanbij_doc · 391 (as read 20 September 2026)#30
@SparkSecurity · 10,551#31
@cybersecurityforall77 · 29,360#32
@harmashcom · 16,252#33
@OneCubeDev · 16,453#34
@HackerNewsAR · 13,500#35
@soft_php_html_f · 18,530#36
@CCSB_0 · 6,310#37
@iqcys0 · 20,199#38
@Networkat20 · 31,671#39
@PYTHON_PT1 · 18,176#40
@CyberBankSa · 10,328#41
@CyberXBook · 17,079#42
@NusurFile · 4,888#43
@HBLock0 · 12,979#44
Read from Telegram’s recommendation API, most recently 20 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.
@codingbasics · 21,857
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 21 September 2026
@aqweeb · 22,498
Telegram ranks this channel #10 of 58 here — alongside 57 others — read 20 September 2026
@Course_reserve · 22,411
Telegram ranks this channel #11 of 55 here — alongside 54 others — read 21 September 2026
@xmoom · 27,501
Telegram ranks this channel #15 of 47 here — alongside 46 others — read 23 September 2026
This channel appears in 4 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 21 October 2026 — this entry's latest reading, not the date you are reading this.
“Muhammad Alush” (@MuhammadAlush0997), 23,953 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/MuhammadAlush0997.
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.