Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 11 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 10 July 2026 to 31 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @wolfcharts. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
3 measurements spanning 3 days, net -5. 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 1,411–1,418 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 18:23
1,412
-5
8 Aug 2026, 03:26
1,417
no change
7 Aug 2026, 09:32
1,417
first reading
Engagement
17 posts held, back to 10 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
29.6%
avg views ÷ 1,412 subscribers
Avg views / post
418
16 posts measured
Reaction rate
2.70%
reactions ÷ views · ER floor
Posts in window
16
of 17 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 15 of 16 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 2 August 2026
Posts held
17 (10 July 2026 – 2 August 2026)
Views total
6,695
Reactions total
172
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 09:32 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
183 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 84.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
155
84.7%
👍
19
10.4%
👏
6
3.28%
🔥
3
1.64%
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 17 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 183reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 10 July 2026 to 2 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.
$BTC 💸
في سيناريو وارد يحصل للبيتكوين ولو حصل هشتري بجزء إضافي من رأس المال وأزود كميتي
فيه سيولة أسفل خط الترند المنقط المرسوم على الشارت والسعر احتمال ينزل يسحب السيولة دي وبعدها يبدأ الصعود ✔️
ولكن في شرطين اضافيين لو حصلوا هيكون دخول اقوي
1- البيتكوين يحافظ على قاع 57,800$
2- مؤشر TOTAL3 يكسر قاع 640B
لو السيناريو ده حصل، فدي هتكون بالنسبة لي نقطة دخول كويسة جدًا للسوق عمومًا.
لكن دخولي هيكون في البيتكوين …
في سيناريو لو حصل هشتري البيتكوين وهزود كميتي سواء بيتكوين او الايثريوم
هشرح التحليل والسيناريو بالتفصيل في البوست الجاي
لو مهتم تفاعل مع البوست علي تويتر 📱✔️
https://x.com/ixbebo/status/2083188891679384002
وقت ما نزلت تحليل سهم $TSLA كان فيه صديق فاضل سألني
هتستنى السهم ينزل 50% عشان تشتري؟
دلوقتي السهم هبط حوالي 24% من وقت التحليل ومعاه أغلب أسهم السوق الأمريكي دخلت في تصحيح قوي
لكن بعيدًا عن صحة التحليل من عدمه...
السؤال نفسه مهم جدًا، لأن إجابته بتوضح الفرق بين المتداول والمستثمر.
أول سؤال لازم تسأله لنفسك:
أنت داخل السوق كمضارب ولا كمستثمر؟
الفرق بينهم كبير جدًا، وكل واحد ليه طريقة مختلفة تمامًا في التعامل م…
فايدة تحليل المؤشر العام لأي سوق 👇🫡
من اسبوع نزلت ثريد كامل بشرح فيه السوق الأمريكي و مؤشر S&P 500 وتحليله واماكن الشراء لأسهم قوية
بالنسبالي
أنا حاليًا في انتظار وصول الأسعار لمناطق الشراء اللي محددها مسبقًا
أنا مش بجري ورا السعر
بحدد مناطق قوية وبحط Alert ولو السعر وصلها بدخل 💜
https://x.com/ixbebo/status/2081820877625115071
هل التداول حلال أم حرام؟ الأسهم والكريبتو والفوركس
مقال طويل لو عندك وقت كمله للأخر او احفظه عندك شوفه بعدين
السؤال ده من أكتر الأسئلة اللي بتتكررر من أي شخص بيفكر يدخل الأسواق المالية
والحقيقة إن الإجابة مش هتكون: التداول حلال بشكل مطلق أو التداول حرام بشكل مطلق
فخلينا نشرح🧵🧵
https://x.com/ixbebo/status/2081305167358472637
فهم المصطلحات دي وتجميعها كلها جنب بعض هو اللي هيخليك تتعامل مع أسواق التداول بجدية وتبني قراراتك على علم وفهم حقيقي
أما أغلب الطرق التانية فللأسف هتبني أوهام
https://x.com/ixbebo/status/2080974592827420982
سهمين شايف إنهم فيهم فرصه في السوق الأمريكي حاليًا 👇
1- $TSLA ⚡️
عندنا مستوى 214$ وده قاع تحته سيولة واضحة.
من وجهة نظري، السيناريو الأقرب هو إن السعر ينزل يسحب السيولة دي، وبعدها يبدأ الارتداد من ال Order Block الموجودة أسفله
ولو تفتكروا، إحنا كنا داخلين شراء من حوالى 125$، ووقتها كنت نزلت التحليل وقلت إنها منطقة شراء، والحمد لله السعر وصل للأهداف.
2- $AAPL ⚡️
السهم كون قاع قوي،ممكن نشوف هبوط للسهم ناحية المن…
قبل ما تشتري $SPCX او أي سهم امريكي لازم تعرف السوق الأمريكي نفسه رايح فين.
السوق الأمريكي هو أكبر سوق أسهم في العالم
لما حد بيقول إنه بيستثمر في السوق الأمريكي، فهو بيقصد الاستثمار في أسهم شركات عالمية زي:
$AAPL - $MSFT - $AMZN - $META - $GOOGL
وغيرهم من أكبر الشركات في العالم.
في الثريد ده هنتكلم عن السوق الأمريكي، وإزاي تحلل اتجاهه، وإزاي تقدر تتداول أسهمه بسهولة.
تابع للأخر عشان في مسابقه بالتعاون مع okx …
تحديث البيتكوين وسوق الكريبتو 💸
احنا كنا اشترينا من عند قاع ال 58 ألف و كان دخولنا بهدف إن السعر يصعد ناحية قمة 82850 الموضحة في الصورة وده يمثل صعود حوالي 42% من القاع.
وده حتى الآن هو السيناريو اللي شايفه على الفريم الأسبوعي.
طيب هل عندنا كونفرميشن على الفريمات الصغيرة؟
لا
مفيش كونفرميشن واضح حتى الآن، لكن فيه إشارات دخول كويسة، وعلشان كده إحنا داخلين السوق بنسب بسيطة.
هل البيتكوين بعد 82 ألف هيكمل ويعمل قمة …
تحديث مؤشر السوق السعودي ( TASI ) 🇸🇦
بعد ما حصل عندنا IBOS وكسر قمة داخلية قوية، كنت نزلت هنا على X تحليل وقلت إن السيناريو المتوقع هو الهبوط... وده بالفعل اللي حصل ✅
دلوقتي المؤشر وصل لمنطقة مهمة ممكن السعر يرتد منها ، ومن وجهة نظري قدامنا سيناريوهين :
السيناريو الأول 📈
الارتداد من المنطقة الحالية لأنها متوافقة مع مستوى 0.618 فيبوناتشي وكمان فيها FVG.
لو ده حصل فهنستهدف الصعود ناحية ال M OB عند 12052، وده يمثل …
❤8👍4
Showing the 12 most recent of 17 posts we hold for @Bebo_Crypto. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 107%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 10 July 2026 to 2 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 645,494 of 1,151,006entries 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
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Bebo Trading 2.0” (@Bebo_Crypto), 1,412 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Bebo_Crypto.
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.
