Crypto & trading — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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 12 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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. 46 of the 46 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 315 comparable posts for this entry, running 7 August 2026 to 10 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).
Of the group of 5 channels, the one whose matching posts we hold earliest is @kkkontemp. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 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.
Channels linked by matching posts
This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
23 measurements spanning 90 days, net +663. 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 8,182–9,060 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
5 Nov 2026, 16:10
8,956
-3
2 Nov 2026, 21:34
8,959
+12
30 Oct 2026, 17:36
8,947
+7
27 Oct 2026, 06:49
8,940
+27
23 Oct 2026, 22:17
8,913
+73
20 Oct 2026, 17:10
8,840
+176
17 Oct 2026, 09:47
8,664
+29
14 Oct 2026, 12:40
8,635
+53
11 Oct 2026, 10:58
8,582
+63
5 Oct 2026, 01:37
8,519
+41
26 Sept 2026, 06:59
8,478
+19
17 Sept 2026, 14:37
8,459
+15
13 Sept 2026, 21:40
8,444
+54
10 Sept 2026, 14:56
8,390
-10
5 Sept 2026, 11:02
8,400
-2
1 Sept 2026, 23:14
8,402
+15
29 Aug 2026, 21:44
8,387
+43
27 Aug 2026, 00:43
8,344
+11
19 Aug 2026, 21:53
8,333
+32
16 Aug 2026, 18:34
8,301
first reading
Engagement
532 posts held, back to 7 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.03%
avg views ÷ 8,956 subscribers
Avg views / post
809
233 posts measured
Reaction rate
0.337%
reactions ÷ views · ER floor
Posts in window
233
of 532 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 87 of 233 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 10 November 2026
Posts held
532 (7 August 2026 – 10 November 2026)
Views total
188,470
Reactions total
263
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 23:44 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
Photos
≈16,600
Videos
≈137
Links
≈20,200
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
23s
Average length
23s
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
443 reactions across 159 posts, in 16 distinct kinds. The most used accounts for 72.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
323
72.9%
👍
42
9.48%
😭
21
4.74%
👏
16
3.61%
😢
11
2.48%
😎
7
1.58%
🔥
5
1.13%
😁
4
0.903%
🥰
4
0.903%
🤔
3
0.677%
🙈
2
0.451%
🍾
1
0.226%
😱
1
0.226%
🙏
1
0.226%
🤯
1
0.226%
🫡
1
0.226%
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 176 of the 532 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 443 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 532 most recent posts we hold, published 7 August 2026 to 10 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: 0 of 233 posts held from the last 30 days (0%) 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).
#대응전략
: 근원 CPI 0.3%(예상치 0.2%) 발표. 헤드라인 CPI 0.4% (예상치 0.3%)
: 윌러 연준 이사는 이번 근원 cpi가 0.3%로 나오면 0.50bp 인상을 옵션으로 고려하겠다고 발언하며 시장의 불안심리를 자극.
: 시장은 당연히 전일 CPI를 악재로 해석. 발표 후 나스닥 선물지수는 -1% 부근 하락, 10년물 국채금리는 장중 5%를 살짝 돌파하는 모습
: 그러나 이번 CPI 내용을 면밀히 살펴보면 결국 연준의 통화정책에 가장 연관이 있는 PCE물가지표에 연동되는 CPI의 항목들 (운송서비스, 주거비, 중고차) 중 운송서비스가 전월 대비 큰 폭으로 상승, 오히려 주거비는 전월대비 둔화, 중고차 물가는 전월 대비 큰 폭의 하락하며 안정화 추세를 보이고 있는 부분에 주목함.
: 특히 운송서비스 부문의 세부항목…
* 코어위브 컨콜 중
2027년까지의 약속된 자본 지출의 75% 이상이 투자 등급 및 기업 고객과 연계되어 있다.
약 25%는 AI 연구소 및 AI-native 기업과 연계.
올해 거래의 70%에 대해 선지급금을 수집했으며, 일부 고객은 계약 가치의 최대 100%를 선불로 지급.
기존 인프라를 원래 가격 대비 "상당한 프리미엄"으로 재계약 중
3분기 말 기준 부채 가중 평균 비용은 7.9%로 하락했으며, 전년 동기 대비 250bp 감소.
** 시간외 하락했다가 +3.3%로 급반등
https://x.com/wallstengine/status/2120280129972871479?a=BSXd5Wpc1Yi2P17EphQ&s=19
모건스탠리에 따르면 2027년 글로벌 HBM 수요에서 구글 TPU가 35%를 차지하며 엔비디아의 36%와 거의 비슷한 수준에 도달할 전망. 두 회사의 합산 비중은 71%에 달할 것으로 예상.
AMD는 16%, 아마존 AWS는 5%, 글로벌유니칩 고객은 약 3%, 마이크로소프트와 메타는 각각 약 2%를 차지할 것으로 전망.
칩 유형별로는 GPU가 전체 HBM 수요의 52%, 맞춤형 AI 반도체인 ASIC이 47%를 차지하며 양측 수요가 사실상 양분되는 구조.
칩당 HBM 탑재 용량도 지속적으로 증가해 AMD MI500은 768GB, 구글 TPU v9은 576GB, 엔비디아 루빈 울트라는 384GB를 탑재할 것으로 예상.
이에 따라 HBM 수요 구조가 엔비디아 GPU 중심에서 엔비디아와 대형 클라우드 기업의 맞춤형 AI 반도체가 공동으로 …
[DB증권 전기전자 조현지]
10월 대만 매출: AI가 견인하는 연말 성수기
■ 10월 대만 주요 Tech 품목의 MoM 및 YoY 증감률
- Positive: ① 파운드리 +13%·+57%, ② 반도체 후공정 +1%·+43%, ③ 메모리 +3%·+370%, ④ ODM +3%·+94%, ⑤ EMS +13%·+46%, ⑥ MLCC +1%·+55%, ⑦ PCB +3%·+57%
- 혼조: ① 팹리스 -1%·+12%
- Negative: ① LCD패널 -9%·-0%, ② 카메라 -6%·-6%
■ 대만 주요 Tech 매출 동향
-Yageo의 10월 매출액은 NT$176억(+3%MoM, +55%YoY)으로 역대 최대 실적을 기록. 10월 연휴 영향으로 조업일수가 감소했음에도 범용제품과 특수제품 모두 안정적인 성장세 유지. Yageo는 AI가 아…
주식 무료강의 3편
저는 유료 강의, 리딩 같은건 안하고 있습니다.
금전을 요청하면 사칭 사기 입니다.
다~ 무료다 생각하시면 됩니다.
스스로 재미있으면 하는거고 아니면 쉬는거고요~
뭘 그렇게 복잡하고 상업적으로 생각합니까
시간 빨리 가요~
하고 싶은것 다 하고 살아야죠~!
https://www.youtube.com/watch?v=ehAmj1-nPg0
인공지능(AI) 반도체가 학습과 추론을 넘어 보안과 초장문맥 처리 등 용도별로 세분화되면서 고대역폭메모리(HBM) 시장에서도 고객 맞춤형 경쟁이 가속화하고 있다. 구글이 메모리 용량과 대역폭 등을 달리한 4종의 TPU 시스템을 선보이는 등 AI 반도체 시장의 경쟁이 개별 칩의 성능을 넘어 작업 특성에 맞춘 시스템 최적화로 확대되고 있다.
구글의 TPU 사업 확대도 HBM 시장의 새로운 변수로 떠오르고 있다. 구글은 TPU 고객사가 AI 모델 개발 기업과 금융사, 유통업체, 대학 등 약 100곳에 이른다고 밝혔다. 지난달에는 오라클과 TPU 공급 협력을 체결하고 2027년부터 오라클 클라우드 인프라에 TPU를 도입하기로 했다. 엔비디아 GPU 외에 자체 설계 AI 가속기의 활용이 확대되면서 HBM 수요처도 한층 다양해질 전망이다.
https…
앤스로픽 ARR이 결국 정체됐네요
- 오늘 보고된 SEC 상장보고서 수정본에 따르면 10월 런레이트(ARR/연환산매출)는 $81B로 9월보다 $10B가 늘었음
- 10월 런레이트는 전월 대비(MoM) 14% 성장률을 기록. 이는 3Q26 월환산 성장률 13.6%와 거의 같음
- 런레이트 성장은 늘어나지도 줄어들지도 않고 정체된 셈. 시가총액 중간값을 런레이트로 나누면 약 12배 멀티플
Showing the 12 most recent of 532 posts we hold for @nje2e. 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 recorded as deleted after publishing
We recorded 1 post on @nje2e as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 August 2026
Most recent seen missing
8 August 2026
Median time before seen missing
7.0 hours
Seen missing in the last 30 days
0
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
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.
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.
피카츄 아저씨⚡️ @pikachu_aje · 24,923 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 14 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,776 Telegram ranks this channel #14 of 83 here — alongside 82 others — read 18 September 2026
김찰저의 관심과 생각 저장소 @kimcharger · 25,264 Telegram ranks this channel #18 of 88 here — alongside 87 others — read 15 September 2026
회색인간의 매크로 + 투자 @mistergray_11 · 19,792 Telegram ranks this channel #19 of 78 here — alongside 77 others — read 1 October 2026
AWAKE - 실시간 주식 공시 정리채널 @darthacking · 65,571 Telegram ranks this channel #26 of 91 here — alongside 90 others — read 2 September 2026
서화백의 그림놀이 🚀 @easobi · 23,386 Telegram ranks this channel #34 of 87 here — alongside 86 others — read 18 September 2026
그로쓰리서치(Growth Research) [독립리서치] @growthresearch · 40,090 Telegram ranks this channel #36 of 90 here — alongside 89 others — read 2 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,313 Telegram ranks this channel #46 of 87 here — alongside 86 others — read 10 September 2026
간절한 투자스터디카페 @desperatestudycafe · 18,510 Telegram ranks this channel #49 of 83 here — alongside 82 others — read 5 October 2026
루팡 @bornlupin · 49,242 Telegram ranks this channel #49 of 91 here — alongside 90 others — read 2 September 2026
Buff @bufkr · 21,585 Telegram ranks this channel #63 of 89 here — alongside 88 others — read 21 September 2026
선진짱 주식공부방 @sunstudy1111 · 55,188 Telegram ranks this channel #68 of 89 here — alongside 88 others — read 2 September 2026
AWAKE - 52주 신고가 모니터링 @awake_realtimeCheck · 22,874 Telegram ranks this channel #70 of 92 here — alongside 91 others — read 20 September 2026
제약/바이오/미용 원리버 Oneriver @pharmbiohana · 29,759 Telegram ranks this channel #73 of 89 here — alongside 88 others — read 7 September 2026
카이에 de market @cahier_de_market · 23,076 Telegram ranks this channel #75 of 85 here — alongside 84 others — read 20 September 2026
This channel appears in 15 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“너쟁이의 성실한 추추생활” (@nje2e), 8,956 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/nje2e.
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.
