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Channel

전인구경제연구소 주식공유방

@juningulab

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

10,887subscribers

-52 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003653932833
TypeChannel
Username@juningulab
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/juningulab

Growth

10,88710,93910,9137 August 2026 — 10,939 subscribers7 August 2026 — 10,939 subscribers8 August 2026 — 10,938 subscribers9 August 2026 — 10,933 subscribers10 August 2026 — 10,928 subscribers11 August 2026 — 10,918 subscribers12 August 2026 — 10,902 subscribers13 August 2026 — 10,887 subscribers7 August 202613 August 2026
8 measurements spanning 6 days, net -52. 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 10,879–10,947 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:3910,887-15
12 Aug 2026, 11:4410,902-16
11 Aug 2026, 13:0510,918-10
10 Aug 2026, 16:1710,928-5
9 Aug 2026, 14:1610,933-5
8 Aug 2026, 11:3710,938-1
7 Aug 2026, 14:0110,939no change
7 Aug 2026, 13:4910,939first reading

Engagement

21 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
48.7%
avg views ÷ 10,887 subscribers
Avg views / post
5,310
21 posts measured
Reaction rate
0.365%
reactions ÷ views · ER floor
Posts in window
21
of 21 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 20 of 21 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held21 (24 July 202612 August 2026)
Views total111,450
Reactions total390
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:36 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

390 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 77.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
30177.2%
👍7218.5%
👏174.36%

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 20 of the 21 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 390reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 24 July 2026 to 12 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.

Recent posts

12 Aug 2026, 03:19 UTC≈2,340 views15 reactionsread 13 August 2026

여러분~ 이번에 업로드된 영상에서 최고민수님이 추천하신 ETF 목록 싹- 정리해왔습니다! 촬영이 끝나고도 작가님께서 "ETF만 해도 충분해~"라고 하셨는데요. 아무래도 개별종목 투자가 쉽지 않잖아요.. 기업 하나를 선택하려면 고려해야 할 부분도 참 많고요. 반면, 대표지수 추종ETF나 테마별 ETF는 손해볼 위험도 훨씬 적고, 운용사가 주기적으로 리밸런싱까지 해주니 조금 더 안정적인 투자가 가능합니다. 매력적인 ETF가 참 많더라고요. 저도 이참에 ETF 투자를 더 늘려가보려고 합니다! 이미 ETF 투자를 활발히 하고 계신 분들도 많으실 텐데, 영상 속 최고민수님이 남겨주신 ETF 포트폴리오 전략부터 분할매수 전략 그리고 절세법까지 보시면서 비교해보셔도 좋겠습니다 ^^ 영상도 많은 시청 바랍니다.🙇🏻‍♀️❤️ https://yo

15

Signed 지은

12 Aug 2026, 03:18 UTC≈2,340 views12 reactionsread 13 August 2026
File

File, posted without a caption

👏12

Signed 지은

7 Aug 2026, 08:12 UTC≈5,980 views44 reactionsread 13 August 2026
Photo

코스피가 좀 처럼 반등을 못하고 있지만 외국인이 현물을 많이 팔지도 않고 선물을 매수하고 있습니다.

41👏3

5 Aug 2026, 21:46 UTC≈5,690 views29 reactionsread 13 August 2026
Photo

리사 쿡 연준 이사 추가 금리 인상 가능성 시사 보통 쿡 이사는 시장 친화적인 발언을 많이 해온 편이었는데, 이번엔 완전히 매운맛으로 돌아왔습니다. 알래스카 연설에서 "물가가 너무 높다, 필요하면 금리 더 올릴 준비 되어 있다"고 아주 센 발언을 던졌거든요. 연준이 제일 중요하게 보는 게 '물가 잡기'랑 '일자리 지키기' 두 가지잖아요? 그런데 쿡 이사는 지금 일자리 걱정할 때가 아니고 물가 터지는 걸 막는 게 훨씬 급하다고 본 겁니다. 시장에선 이제 금리 내려주겠지 하고 기대하고 있었는데, 도리어 금리를 더 올릴 수도 있다는 이야기가 나오니까 많이 당황스러운 분위기입니다. 당분간 증시 변동성에 유의하셔야겠습니다! 작성자: 원앵커의 월가 비밀노트 https://t.me/wonlyu9496/628 출처: 전인구 경제연구소 https:

24👍5

Signed Won Park

31 Jul 2026, 09:24 UTC≈7,880 views30 reactionsread 13 August 2026

1. 누가 사고를 쳤나요? 레오폴드 아셰너브레너 (25세) - 19살에 명문대를 수석 졸업하고 오픈AI에서 일했던 천재 연구원 상황: 회사에서 나온 뒤 "앞으로 인공지능(AI) 시대가 오면 반도체, 메모리, 데이터센터가 무조건 대박 난다!"라며 '시추에이셔널 어웨어니스'라는 거대 투자 펀드를 차렸습니다. 인기를 끌면서 올해 7월 초에는 무려 450억 달러짜리 거대 공룡 펀드로 성장했죠. 2. 무슨 문제가 생겼나요? 과도한 빚을 내서 무리하게 도박을 걸었다가 양쪽에서 뺨을 맞았습니다. 첫 번째 뺨 "AI 반도체 무조건 오른다!" 하고 마이크론, 샌디스크, SK하이닉스 같은 주식에 몰빵했는데, 최근 한 달간 이 주식들이 35% 넘게 폭락하면서 엄청난 돈을 잃었습니다. 두 번째 뺨 "앞으로 AI가 다 해주니까, 전통 소프트웨어 회사들은

30

Signed Won Park

29 Jul 2026, 21:34 UTC≈7,220 views21 reactionsread 13 August 2026
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마이크로소프트 Q4 실적 발표 매출 예상 상회 📈 EPS 예상 상회 📈 장 시작 전만해도 월가에서는 "AI 공장 짓느라 돈 까먹고 나중에 잉여현금흐름 구멍 나는거 아니야?" 라는 걱정이 많았는데요 핵심은 '애저' 클라우드 매출이 전년대비 무려 43% 폭팔. 2022년 초 이후 4년만에 가장 빠른 빛의 속도로 성장하면서 평균 예상치를 밟고 올랐어요. => 덕분에 애저 클라우드의 일년 누적 매출이 역사상 처음으로 1000억달러 고지를 뚫음 사티아 나델라 CEO "우리 AI비서인 코파일럿의 돈내고 쓰는 유료 회원수가 3000만명을 돌파했고 3개월 전 2000만 명 수준에서 한번 더 껑충 뛴겁니다" 즉, 기업들이 말로만 AI 좋다고 하는게 아니라, 진짜 지갑을 열고 마이크로소프트의 서비스를 쓰고 있다는 증거가 증명 된 것. 아무래도 '오

21

Signed Won Park

29 Jul 2026, 00:38 UTC≈4,470 views5 reactionsread 13 August 2026

https://www.theraum.co.kr/shop/detail.php?pno=C4492CBE90FBDBF88A5AEC486AA81ED5&rURL=https%3A%2F%2Fwww.theraum.co.kr%2F&ctype=1&cno1=1107 이번에 저도 라움아트센터에서 하는 와인&전통주 살롱에 참석합니다. 관심있으신 분들 오시면 좋겠습니다!

5

28 Jul 2026, 21:39 UTC≈4,450 views16 reactionsread 13 August 2026
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🚨비자 3분기 회계연도 실적 발표 • 조정 EPS 3.32달러 기록 • 분기 매출 116억 달러 달성 비자는 실적을 따끈하게 발표했습니다. 매출과 EPS는 물론, 결제 처리 건수까지 어닝 서프라이즈를 기록했는데요. 조정 EPS는 3.32달러로 예상을 상회했고 분기 매출 역시 116억 달러로 시장 전망치를 넘어섰습니다. 이번 호실적의 일등 공신은 글로벌 결제 수요였는데요. 이번 분기에 총 결제 처리 건수는 717억 건으로, 두 자릿수 성장세를 나타냈습니다. 특히 월드컵 개최 도시들을 중심으로 국가 간 거래 결제 대금이 20% 가량 늘어난 점도 매출 성장을 견인했습니다. 📈 +1.12% 📉 실적 발표 후 -0.62% 상승한 이유는 https://t.me/wonlyu9496/588 출처: 전인구 경제연구소 https://t.me/jun

16

Signed Won Park

28 Jul 2026, 10:01 UTC≈4,900 views19 reactionsread 13 August 2026

정신없는 하루였습니다. 코스피 매도 사이드카에 서킷브레이커까지 발동하면서 반도체주가 말도 안되게 빠졌는데요. 오늘 장우진 대표님과 인터뷰를 통해, 반도체 반등은 다시 올 것이라는 전망을 들었습니다. 그럼에도 반도체주가 이렇게 빠지는 이유는 알고 있어야 대처를 할 수 있겠죠? 오늘 전인구 대표님이 올려주신 <주식시장이 하락하는 근본적인 이유>의 핵심 내용한장 요약본 함께 올려드립니다. 영상 함께 보시면서 대응전략 짜보시면 좋겠습니다. https://youtu.be/DHlz2aQyuoU?si=rhdKM-qc8fav2w-a

19

Signed 지은

28 Jul 2026, 10:00 UTC≈3,960 views9 reactionsread 13 August 2026
File

File, posted without a caption

9

Signed 지은

27 Jul 2026, 10:48 UTC≈4,820 views32 reactionsread 13 August 2026

이번주 증시가 어려운건 저 변수를 다 맞추기도 어렵고 맞춰도 주식은 반대로 해석이 될수도 있습니다

👍275

Showing the 12 most recent of 21 posts we hold for @juningulab. 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.

Citation-graph rank

Citation-graph rank — 1,003,890 of 1,340,412entries 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

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“전인구경제연구소 주식공유방” (@juningulab), 10,887 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/juningulab.

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.