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 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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. 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. 9 of the 9 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 251 comparable posts for this entry, running 4 August 2026 to 11 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 12 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
61 measurements spanning 97 days, net +710. 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 17,949–18,957 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
11 Nov 2026, 13:18
18,775
-10
9 Nov 2026, 15:36
18,785
-7
8 Nov 2026, 06:11
18,792
-2
7 Nov 2026, 01:07
18,794
-3
6 Nov 2026, 00:47
18,797
-3
4 Nov 2026, 21:26
18,800
-6
3 Nov 2026, 17:51
18,806
-9
2 Nov 2026, 14:34
18,815
+4
1 Nov 2026, 17:14
18,811
-1
30 Oct 2026, 17:30
18,812
-8
29 Oct 2026, 15:44
18,820
+1
28 Oct 2026, 18:28
18,819
+1
26 Oct 2026, 19:15
18,818
-6
25 Oct 2026, 16:19
18,824
+5
24 Oct 2026, 19:20
18,819
+5
22 Oct 2026, 13:58
18,814
-7
21 Oct 2026, 09:10
18,821
-8
20 Oct 2026, 07:26
18,829
-8
19 Oct 2026, 04:26
18,837
-4
18 Oct 2026, 04:08
18,841
first reading
Engagement
390 posts held, back to 4 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.4%
avg views ÷ 18,775 subscribers
Avg views / post
1,950
85 posts measured
Reaction rate
0.244%
reactions ÷ views · ER floor
Posts in window
85
of 390 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 19 of 85 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 13 November 2026
Posts held
390 (4 August 2026 – 13 November 2026)
Views total
166,062
Reactions total
90
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 04:49 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
≈3,740
Videos
≈15
Links
≈3,430
Lifetime counters from Telegram’s own channel header, read 13 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.
Reaction mix
640 reactions across 119 posts, in 6 distinct kinds. The most used accounts for 68.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
435
68.0%
❤🔥
61
9.53%
😁
48
7.50%
💯
45
7.03%
🫡
36
5.63%
✍
15
2.34%
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 122 of the 390 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 640 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 390 most recent posts we hold, published 4 August 2026 to 13 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: 2 of 85 posts held from the last 30 days (2.35%) 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).
* 단독]삼성, 온양 낸드 조립공정까지 베트남 이전 추진…국내는 HBM 중심 재편
-12일 업계에 따르면 삼성전자는 베트남 북부 타이응우옌성에 건설 중인 반도체 검사공장의 2027년 하반기 가동을 준비하면서 2030년까지 조립시설을 추가하는 방안을 내부적으로 검토하고 있다. 조립시설이 들어서면 베트남은 단순 검사기지에서 낸드플래시 조립과 검사를 일괄 수행하는 종합 후공정 생산거점으로 확대된다.
현재 구체화된 시설은 검사공장 1개 동이다. 삼성전자는 내년 9월 제품 품질 인증(퀄리피케이션)을 목표로 천안·온양의 기존 검사장비 일부를 현지로 이전하고 신규 설비도 도입할 것으로 알려졌다. 이후 국내에서 담당하던 낸드플래시 검사 물량 대부분을 단계적으로 베트남으로 옮기는 방안이 추진되고 있다. 여기에 추가되는 1개동은 조립 시설까지 들어가는 구상…
“한국에 ‘천궁-Ⅱ 값’ 3조원 얼른 줘라”…이라크, 다급히 돈 마련한 이유
URL: https://nownews.seoul.co.kr/news/newsView.php?id=20261111601017&wlog_tag3=naver
이라크 재무부가 한국산 중거리 요격 체계인 천궁-Ⅱ(KM-SAM2) 도입을 위한 자금 조달을 공식 지시했다.
이라크 매체 샤파크 뉴스는 10일(현지시간) “팔레 사리 이라크 재무부 장관이 이날 나예프 알 샴마리 국방장관과의 회담 후 한국과의 방공 시스템 계약에 필요한 자금 지원을 지시했다”고 보도했다.
보도에 따르면 재무부는 이라크의 영공 보호 능력을 강화하고 무기 조달 및 군사 장비에 필요한 자금을 확보하겠다는 의지를 재확인하기 위해 지원을 공식 지시했다.
이라크는 초기 대금 5억 달러(약 6673억원)를 …
[삼양식품, 베트남 신공장 투자 관련 코멘트_유안타 손현정]
-베트남 신공장 건설에 2,186억원 투자 결정. 2029년 1월 준공 목표. 초기 1개 생산라인을 설치하되, 향후 총 8개 라인까지 확장 가능한 공장을 선제적으로 건설
-생산CAPA 전망
2026년 25억식 → 2027년 38억식 → 2029년 39억식 → 중장기 최대 49억식
-베트남 최종 8개 라인 구축 시 연간 약 10~11억식 추가, 2027년 대비 생산능력 약 30% 확대 가능
1. 2029년부터 추가 매출 기여 시작
-2027년 중국 자싱공장(11.3억식) 가동으로 글로벌 CAPA 약 37.8억식 확보
-2029년 베트남 초기 1개 라인 가동 시 CAPA 약 1.2~1.4억식 추가 예상. 글로벌 CAPA 약 39억식으로 확대
-초기 1개 라인 기준 연간 매출 잠재력…
안녕하세요.
기존 에테르의 일본&미국 채널을 운영하는 에테르입니다.
지난 10월 27일에 올해 8월부터 지속적인 신고 누적으로 인해 텔레그램 계정에 신용사기딱지가 붙었습니다. 이후 텔레그램측에 해결하기 위해 수차례 이메일, 문의등등 방법으로 접촉을 시도해보았지만, 연락이 닿지 않아 아직까지도 어떠한 응답을 못받았습니다. 따라서 기존 계정을 작성된 글들을 최대한 백업해서 새로운 채널인
https://t.me/aethersemiconductor 로 옮겼습니다.
기존 채널은 옆에 (구)를 붙일거고, 당분간은 폐쇄하지 않을 방침입니다.
제 채널을 구독하는 분이라면 새로운 채널로 이전해주시면 대단히 감사하겠습니다.
https://t.me/aethersemiconductor
Showing the 12 most recent of 390 posts we hold for @mstaryun. 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.
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 2 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.
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.
스탁이지 - AI 투자 어시스턴트 @maddingStock · 20,900 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 27 September 2026
이지스스트레티지 리서치 @jeilstock · 26,239 Telegram ranks this channel #4 of 93 here — alongside 92 others — read 12 September 2026
제약/바이오/미용 원리버 Oneriver @pharmbiohana · 29,789 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 7 September 2026
간절한 투자스터디카페 @desperatestudycafe · 18,510 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 5 October 2026
선진짱 주식공부방 @sunstudy1111 · 55,218 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 2 September 2026
김찰저의 관심과 생각 저장소 @kimcharger · 25,261 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 15 September 2026
AWAKE - 52주 신고가 모니터링 @awake_realtimeCheck · 22,881 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 20 September 2026
AWAKE - 실시간 주식 공시 정리채널 @darthacking · 65,571 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 2 September 2026
재야의 고수들 @gaoshoukorea · 41,185 Telegram ranks this channel #14 of 90 here — alongside 89 others — read 2 September 2026
카이에 de market @cahier_de_market · 23,110 Telegram ranks this channel #15 of 85 here — alongside 84 others — read 20 September 2026
가치투자클럽 @corevalue · 67,105 Telegram ranks this channel #16 of 93 here — alongside 92 others — read 2 September 2026
타점 읽어주는 여자(타자) @tazastock · 40,978 Telegram ranks this channel #18 of 89 here — alongside 88 others — read 2 September 2026
엄브렐라리서치 Jay의 주식투자교실 @Jstockclass · 26,508 Telegram ranks this channel #19 of 90 here — alongside 89 others — read 13 September 2026
Yeouido Lab_여의도 톺아보기 @Yeouido_Lab · 43,450 Telegram ranks this channel #19 of 90 here — alongside 89 others — read 2 September 2026
오를주식 - 뉴스/경제/주식 @GoUpstock · 21,091 Telegram ranks this channel #20 of 83 here — alongside 82 others — read 25 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널 @stock_messenger · 25,223 Telegram ranks this channel #23 of 90 here — alongside 89 others — read 14 September 2026
피카츄 아저씨⚡️ @pikachu_aje · 24,917 Telegram ranks this channel #24 of 91 here — alongside 90 others — read 14 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,811 Telegram ranks this channel #32 of 92 here — alongside 91 others — read 2 September 2026
유진투자증권 코스닥벤처팀 @SmallCap · 22,982 Telegram ranks this channel #40 of 96 here — alongside 95 others — read 19 September 2026
HS아카데미 대표 이효석 @HS_academy · 36,206 Telegram ranks this channel #48 of 90 here — alongside 89 others — read 8 September 2026
허혜민의 제약/바이오 소식통 @huhpharm · 24,264 Telegram ranks this channel #49 of 93 here — alongside 92 others — read 16 September 2026
YM리서치 @ym_research · 39,821 Telegram ranks this channel #50 of 89 here — alongside 88 others — read 2 September 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠) @hermitcrab41_1 · 21,506 Telegram ranks this channel #52 of 81 here — alongside 80 others — read 28 September 2026
Rafiki research @rafikiresearch · 20,656 Telegram ranks this channel #52 of 88 here — alongside 87 others — read 26 September 2026
This channel appears in 48 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“投資, 아레테” (@mstaryun), 18,775 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/mstaryun.
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.