아이투자에서 글쓰다가 밸류스타로 가서 기획/운영으로 잠깐 일하다가 전업백수로 종사하고 있습니다. 이 채널은 자료를 스크랩하기 위한 채널입니다. 열심이 할때도 있고 슬슬 할때도 있습니다. 비정기적 방학이 있습니다만, 채널은 닫지 않습니다. 댓글달아주시면 투자와 관련되거나 관련되지 않은 인생고민도 상담해드립니다 :)
블로그:https://coconx.tistory.com
Created
19 May 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — 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 76% 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. 15 of the 15 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 228 comparable posts for this entry, running 4 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).
Recorded under the keys clone_copy · clone_mutual, 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.
Growth
61 measurements spanning 95 days, net +20. 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 17,328–17,501 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
9 Nov 2026, 18:31
17,481
+16
8 Nov 2026, 10:59
17,465
-3
7 Nov 2026, 07:47
17,468
-5
6 Nov 2026, 06:59
17,473
+43
5 Nov 2026, 06:47
17,430
-4
4 Nov 2026, 06:19
17,434
-4
3 Nov 2026, 08:19
17,438
-3
2 Nov 2026, 05:36
17,441
+5
1 Nov 2026, 06:46
17,436
-5
31 Oct 2026, 05:48
17,441
+1
30 Oct 2026, 09:15
17,440
-8
29 Oct 2026, 07:06
17,448
+12
28 Oct 2026, 02:45
17,436
+4
27 Oct 2026, 00:18
17,432
-6
26 Oct 2026, 00:16
17,438
-5
25 Oct 2026, 02:44
17,443
-2
23 Oct 2026, 04:35
17,445
-3
22 Oct 2026, 03:01
17,448
-4
20 Oct 2026, 19:50
17,452
-11
19 Oct 2026, 18:41
17,463
first reading
Engagement
482 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.6%
avg views ÷ 17,481 subscribers
Avg views / post
2,720
100 posts measured
Reaction rate
0.408%
reactions ÷ views · ER floor
Posts in window
104
of 482 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 69 of 100 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 11 November 2026
Posts held
482 (4 August 2026 – 11 November 2026)
Views total
271,858
Reactions total
816
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:06 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
≈4,850
Videos
≈77
Links
≈17,300
Lifetime counters from Telegram’s own channel header, read 11 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
36s
Average length
18s
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
2,955 reactions across 307 posts, in 3 distinct kinds. The most used accounts for 65.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,931
65.3%
👍
825
27.9%
😢
199
6.73%
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 325 of the 482 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 2,955 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 482 most recent posts we hold, published 4 August 2026 to 11 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 475 we hold a reading for · 0.2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Kyaooo. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 482 most recent posts we hold for this entry, published 4 August 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 22 of 104 posts held from the last 30 days (21.2%) 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).
#소부장
일본의 한 반도체 공급업체 임원은 닛케이에 “지금 반도체 업계에서 가장 큰 화제는 키옥시아도 라피더스도 아니다. 일론 머스크”라고 말했다.
테라팹이 단순한 ‘구상’이 아니라 실제로 발생하는 ‘특수’로 받아들여지기 시작했다는 것이다. 관계자들에 따르면 테라팹 측은 올가을 반도체 장비업체 등에 2032년 이후, 매달 실리콘 웨이퍼 100만장 규모의 반도체 양산을 목표로 한다는 방침을 비공식적으로 전달했다. 이는 라피더스가 홋카이도 지토세에 건설한 공장의 월 생산능력(2만5000장)의 40배에 해당한다.
월 100만장의 생산능력 가운데 약 70만장은 데이터 저장에 사용되는 메모리 반도체에, 30만장 이상은 연산 처리를 담당하는 로직 반도체에 배정한다는 계획이다. 미국 인텔도 테라팹 계획에 참여하고 있으며, 양산 과정에서 인텔의 생산기술…
테라팹, 2032년까지 월 100만 장 웨이퍼 생산 목표…이 중 메모리용 70만 장은 삼성전자의 전체 DRAM 생산 능력과 비슷한 수준
(trendforce)
테라팹은 장비 조달을 위한 초기 단계를 밟고 있는 것으로 알려졌다. 파이낸셜 뉴스가 닛케이를 인용해 보도한 바에 따르면, 조달 팀이 이달 초 일본을 비밀리에 방문해 일부 제조업체로부터 수개월 내 납품을 요청하고, 2028년 하반기 양산 개시를 지원하기 위한 장비 설치 일정을 조율한 것으로 전해졌다.
그러나 장비 조달 외에도 상당한 과제가 남아 있다. 파이낸셜 뉴스는 첨단 반도체 팹의 경우 일반적으로 건설 계획 단계에서 양산 단계로 넘어가는 데 3년 이상 걸린다고 지적했다. 장비 설치가 완료된 후에도 불량률을 낮추고 안정적인 생산을 달성하기 위해서는 추가적인 시간이 필요하다.
테슬…
SK하이닉스 DRAM 영업이익률 60% → 32% 반토막 전망
- 모건스탠리 숀킴이 10일에 발간한 메모리 리포트에 따르면 SK하이닉스의 29~35년 D램 영업이익률(OPM) 가정을 60% → 32%로 낮췄음
- 삼성전자도 29~35년 같은 기간 DRAM OPM 전망을 60% → 39% 하향했음
치킨게임이 시작된다
오늘 하루를 정리해보자
오전 9시 전까지 외국인, 기관 모두 관망하는 분위기였지만 9시 이후 선물과 현물을 동시에 매수했다. 다만 매수 규모는 크지 않았다.
개인은 계속해서 매도 규모를 키워갔다.
오후 2시 이후 외국인은 선물 포지션을 계속 줄여갔으며, 줄인 선물 포지션만큼 현물 포지션을 늘렸다.
특이점:
오후로 갈수록 반도체보다 재건, 항공, 조선 쪽이 강한 모습을 보였다.
개인이 이 정도로 매도했는데도 외국인의 매수세가 약해 보인다.
오늘 지켜보면서 느낀 것은, 한국 주식을 매수하기 싫은 것인가?
보통 2,3조는 들어왔어야 했는데..
지수는 반등이 나왔지만 개인은 웃지 못했을 것 같다.
😢20❤6
Showing the 12 most recent of 482 posts we hold for @Kyaooo. 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
@Kyaooo edited 3 posts 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 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @Kyaooo 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
5 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
1
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 3 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.
조기주식회 공부방 @EarlyStock1 · 24,379 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 16 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,313 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 10 September 2026
선수촌 @athletes_village · 22,138 Telegram ranks this channel #41 of 88 here — alongside 87 others — read 23 September 2026
피카츄 아저씨⚡️ @pikachu_aje · 24,923 Telegram ranks this channel #43 of 91 here — alongside 90 others — read 14 September 2026
선진짱 주식공부방 @sunstudy1111 · 55,188 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 2 September 2026
여의도스토리 Ver2.0-习近平是个狗东西 @YeouidoStory2 · 57,966 Telegram ranks this channel #50 of 92 here — alongside 91 others — read 2 September 2026
엄브렐라리서치 Jay의 주식투자교실 @Jstockclass · 26,513 Telegram ranks this channel #58 of 90 here — alongside 89 others — read 13 September 2026
시장 이야기 by 제이슨 @bumgore · 35,370 Telegram ranks this channel #61 of 89 here — alongside 88 others — read 2 September 2026
스탁이지 - AI 투자 어시스턴트 @maddingStock · 20,884 Telegram ranks this channel #62 of 87 here — alongside 86 others — read 27 September 2026
실시간 주식 뉴스 @realtime_stock_news · 36,964 Telegram ranks this channel #63 of 93 here — alongside 92 others — read 2 September 2026
간절한 투자스터디카페 @desperatestudycafe · 18,510 Telegram ranks this channel #65 of 83 here — alongside 82 others — read 5 October 2026
Buff @bufkr · 21,585 Telegram ranks this channel #66 of 89 here — alongside 88 others — read 21 September 2026
김찰저의 관심과 생각 저장소 @kimcharger · 25,264 Telegram ranks this channel #66 of 88 here — alongside 87 others — read 15 September 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠) @hermitcrab41_1 · 21,453 Telegram ranks this channel #68 of 81 here — alongside 80 others — read 28 September 2026
도PB의 생존투자 @survival_DoPB · 22,062 Telegram ranks this channel #69 of 90 here — alongside 89 others — read 21 September 2026
제약/바이오/미용 원리버 Oneriver @pharmbiohana · 29,759 Telegram ranks this channel #69 of 89 here — alongside 88 others — read 7 September 2026
YM리서치 @ym_research · 39,821 Telegram ranks this channel #69 of 89 here — alongside 88 others — read 2 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,822 Telegram ranks this channel #70 of 92 here — alongside 91 others — read 2 September 2026
재야의 고수들 @gaoshoukorea · 41,200 Telegram ranks this channel #74 of 90 here — alongside 89 others — read 2 September 2026
AWAKE - 실시간 주식 공시 정리채널 @darthacking · 65,571 Telegram ranks this channel #75 of 91 here — alongside 90 others — read 2 September 2026
HS아카데미 대표 이효석 @HS_academy · 36,220 Telegram ranks this channel #79 of 90 here — alongside 89 others — read 8 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,776 Telegram ranks this channel #81 of 83 here — alongside 82 others — read 18 September 2026
이지스스트레티지 리서치 @jeilstock · 26,244 Telegram ranks this channel #81 of 93 here — alongside 92 others — read 12 September 2026
루팡 @bornlupin · 49,242 Telegram ranks this channel #81 of 91 here — alongside 90 others — read 2 September 2026
This channel appears in 36 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“캬오의 공부방” (@Kyaooo), 17,481 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/Kyaooo.
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.
