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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
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 in near-verbatim form on 8 other registered channels. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 11 of the 12 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 169 comparable posts for this entry, running 5 August 2026 to 13 November 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).
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 November 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.
Growth
65 measurements spanning 100 days, net +1,429. 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 11,394–13,251 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
14 Nov 2026, 13:39
13,037
+12
11 Nov 2026, 17:11
13,025
+12
9 Nov 2026, 19:25
13,013
+57
8 Nov 2026, 13:51
12,956
+38
7 Nov 2026, 06:46
12,918
+22
6 Nov 2026, 06:11
12,896
-3
5 Nov 2026, 04:18
12,899
-2
3 Nov 2026, 07:48
12,901
+2
2 Nov 2026, 09:09
12,899
+1
1 Nov 2026, 09:48
12,898
-1
30 Oct 2026, 11:50
12,899
+2
29 Oct 2026, 10:34
12,897
+7
28 Oct 2026, 05:51
12,890
+10
27 Oct 2026, 05:30
12,880
+3
26 Oct 2026, 07:09
12,877
+4
25 Oct 2026, 04:36
12,873
+18
24 Oct 2026, 01:27
12,855
+2
22 Oct 2026, 23:05
12,853
+1
21 Oct 2026, 21:31
12,852
+4
20 Oct 2026, 14:56
12,848
first reading
Engagement
454 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
32.5%
avg views ÷ 13,037 subscribers
Avg views / post
4,230
98 posts measured
Reaction rate
1.03%
reactions ÷ views · ER floor
Posts in window
102
of 454 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 95 of 98 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 14 November 2026
Posts held
454 (5 August 2026 – 14 November 2026)
Views total
414,630
Reactions total
4,153
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 08:58 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
1m 53s
Average length
57s
Measured directly from 2 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
18,959 reactions across 412 posts, in 10 distinct kinds. The most used accounts for 67.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,732
67.2%
👍
3,578
18.9%
🔥
922
4.86%
😱
666
3.51%
😢
305
1.61%
👏
280
1.48%
🤩
202
1.07%
🥰
141
0.744%
🙏
82
0.433%
🎉
51
0.269%
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 433 of the 454 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 19,476 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 454 most recent posts we hold, published 5 August 2026 to 14 November 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
Telegram’s own ‘edited’ marker: 22 of 102 posts held from the last 30 days (21.6%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
스트릿님이 예전과 다르게
확신을 하지 않아서
그게 참 예전과 많이 다른 인상을 받습니다.
또 이번 하락을 쭈욱 드신 분으로서 한번 더 관점을 제시하고 유지한 것에 대해 찬사를 보냅니다.
영상 한줄 요약하면, 잘 모르겠다.
하지만 그걸 길게 풀어보면
저기 매물대만 건들지 말고
반등 나오면 좋겠다.
그럼 상승장이라 기대해볼 수 있을 것 같다.
근데, 바닥이냐고 생각하기엔 사람들이 기회, 매수 자리 등 외치는 게 너무 많아서 확신이 안 든다.
바닥이란 생각조차 안 들어야 바닥인데..라고 덧붙이심
시장 요약
1. 대충 젠슨황이 아시안들한테 칩 갓다판게 중국으로 다 새나갔다는 이야기
2. 중국쪽 ai 전부 엔비디아 칩 이용해서 개발했다고 뉴스 퍼지는중
3. 엔비디아 CEO(임시) 바뀜, 백인 CEO됬으니 정부에서 중국으로 나가는 칩 규제 더 빡세게 할거임
4. 엔비디아 뉴 CEO(임시) 순환금융 싫어함 (이게 말이되나 싶긴함)
5. 연준 굴스비가 이란전쟁 해결되도 정제시설 병목생겨서 정제유 가격 안잡힌다는 발언
뇌피셜
엔비디아, 반도체쪽 하락으로 펀드들 증거금 마련한다고 금,은,채권,코인 등 팔아치움, 유동성 이슈가 있다고 생각
아무튼 시장에 도움이 되는 내용이 하나도 없다..
보통 20년에 주식시장에 들어왔고, 08년부터의 주식 시장을 기억하셔을 거에요. 하따는 시장이 함의하고 있는 전제가 과도하게 반영되었고, 그 논리가 크게 틀리게 되었을 때 성공합니다.
예를 들어, 22년 이후 23년부터 나스닥 20퍼 조정 후에 올랐던 이유는 미국이 유동성 경색의 우려 때문에 금리인상과 더불어, btfd라는 스텔스 qe를 하였기 때문이라 생각합니다.
또한, 25년 4월 관세 빔 때도, 트럼프는 진짜 관세를 정책을 하지 않고, 어느 정도 시장을 풀어주었기 때문에 올랐다 생각해요.
지금 엘리자베스 워렌이 시장의 우려가 과장일 정도로 나중에 데센 규제를 풀어줄까요?
그에 질문에 스스로 답을 하시면서 하따를 받으세요.
#속보 젠슨 황 사임에 엔비디아 주가 10% 급락
황 CEO가 사장, 최고경영자(CEO) 및 이사회 구성원직에서 즉시 물러나면서 코렛 크레스 CFO가 임시 CEO를 맡았으며, 주가는 10% 하락한 $156를 기록했다.
출처 | 2026-11-12 22:58:29
✈ 빠른속보, 특파원김씨
STRATEGY MSTR TO BE DELETED FROM MSCI USA INDEX IN NOVEMBER 2026 INDEX REVIEW, AS OF THE CLOSE OF NOVEMBER 30, 2026: MSCI
SOURCE
❤21
Showing the 12 most recent of 454 posts we hold for @degen2468. 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.
Posts edited after publishing
@degen2468 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
9 August 2026
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 103%, 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 454 most recent posts we hold, published 5 August 2026 to 14 November 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.
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 8 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.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“디젠의 트레이딩 일지” (@degen2468), 13,037 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/degen2468.
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.
