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Channel

세종기업데이터

@sejongdata2013

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

23,433subscribers

-17 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001327307590
TypeChannel
Username@sejongdata2013
Description2015년부터 시장 분석과 정보를 제공해온 세종기업데이터는 유사투자자문업자로서 투자 판단에 참고할 수 있는 다양한 데이터를 제공합니다. 본 서비스는 투자 권유가 아닌 정보 제공 목적이며, 모든 투자 결정과 결과에 대한 책임은 이용자 본인에게 있습니다. 앞으로도 신뢰할 수 있는 정보를 제공하기 위해 노력하겠습니다.
Created19 June 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live23 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/sejongdata2013

Growth

23,41923,45023,434.56 August 2026 — 23,450 subscribers7 August 2026 — 23,449 subscribers8 August 2026 — 23,450 subscribers10 August 2026 — 23,449 subscribers11 August 2026 — 23,447 subscribers12 August 2026 — 23,442 subscribers13 August 2026 — 23,430 subscribers14 August 2026 — 23,424 subscribers16 August 2026 — 23,419 subscribers17 August 2026 — 23,429 subscribers18 August 2026 — 23,419 subscribers19 August 2026 — 23,424 subscribers20 August 2026 — 23,425 subscribers22 August 2026 — 23,430 subscribers23 August 2026 — 23,433 subscribers23,4336 August 202623 August 2026
15 measurements spanning 17 days, net -17. 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 23,414–23,455 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 11:1623,433+3
22 Aug 2026, 00:1623,430+5
20 Aug 2026, 20:0723,425+1
19 Aug 2026, 18:4823,424+5
18 Aug 2026, 16:1223,419-10
17 Aug 2026, 13:3723,429+10
16 Aug 2026, 08:2623,419-5
14 Aug 2026, 19:4823,424-6
13 Aug 2026, 10:0723,430-12
12 Aug 2026, 07:4223,442-5
11 Aug 2026, 06:2623,447-2
10 Aug 2026, 03:5123,449-1
8 Aug 2026, 02:5523,450+1
7 Aug 2026, 04:1523,449-1
6 Aug 2026, 09:5223,450first reading

Engagement

76 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 38 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.2%
avg views ÷ 23,433 subscribers
Avg views / post
4,270
76 posts measured
Reaction rate
0.137%
reactions ÷ views · ER floor
Posts in window
76
of 76 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 49 of 76 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 24 August 2026
Posts held76 (5 August 202624 August 2026)
Views total324,870
Reactions total294
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Aug 2026, 08:35 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
5,830
Videos
32
Links
5,610

Lifetime counters from Telegram’s own channel header, read 24 August 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

294 reactions across 43 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
294100.0%

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 49 of the 76 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 294reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 76 most recent posts we hold, published 5 August 2026 to 24 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

24 Aug 2026, 01:59 UTC≈2,030 views8 reactionsread 24 August 2026
Photo

#파마리서치 3분기 첫 출발도 아주 좋습니다. 관련 수출은 6월에 이어 7월에도 역대 최대를 찍었네요! 이 추세를 이어가 3분기에도 호실적을 내길 기대합니다.

8

24 Aug 2026, 01:54 UTC≈2,010 viewsread 24 August 2026

110조 쏘도고 빠지는 삼성전자 주가 https://contents.premium.naver.com/sejongdata/sejongdata0304/contents/260824105137236tw

23 Aug 2026, 00:32 UTC≈2,430 viewsread 24 August 2026
Forwarded from @G2strategy

정상회담 이전에는 어떤 가능성이든 쉽게 언급 ======================== ~ IT 전문매체 Wccftech는 중국 웨이보 계정 ‘모바일 칩 엑스퍼트’를 인용해 트럼프 행정부가 애플의 CXMT D램과 YMTC 낸드플래시 구매를 승인하는 방안을 준비하고 있다고 22일(현지시각) 보도했다. ~ Wccftech에 따르면 관련 공식 통보는 트럼프 대통령과 시 주석이 9월 직접 회담한 뒤 이뤄질 것으로 예상된다. ~ 다만 아직 미국 정부의 공식 발표는 나오지 않았다. Wccftech도 해당 보도를 ‘루머’로 분류하고 신빙성을 60%인 ‘가능성 있음’으로 평가했다. ~ 중국 측 소식통은 트럼프 행정부의 승인 가능성을 중국에 제공하는 일종의 ‘선물’로 표현했다. 미국이 중국에 양보하는 동시에 애플이 겪는 메모리 공급난을 완화하는 효

21 Aug 2026, 22:23 UTC≈3,790 views6 reactionsread 24 August 2026
Photo

미 10년물 국채금리가 4.73 수준까지 다시 올라왔네요;

6

21 Aug 2026, 03:08 UTC≈3,580 views21 reactionsread 24 August 2026

지난 5월 예상치였던 6,710억 달러보다도 무려 680억 달러나 늘어났어요 4분기 예상 차입액 6,280억 달러까지 더하면 올해 하반기에만 총 차입 규모는 1조 3,670억 달러가 되는 겁니다. 상반기 실제 차입액 7,670억 달러와 비교하면 하반기에는 약 78%, 금액으로는 6,000억 달러나 폭증하는 셈인데요, 아무래도 전쟁 비용이 추가되었으니까 당연한 결과입니만, 문제는 이게 듀레이션을 건드리지 않고 계속 해서 롤 오버가 쉽지 않다는 데 있습니다. . 좀 더 자세하게 설명을 드리죠. 지난 7월 말 현재 미 국채의 순 발행액은 총 3,555억 달러였습니다. 이 가운데 단기채인 T-bill이 2,982억 달러로 약 84%를 차지했고, 장기채인 Notes와 Bonds 순 발행은 합쳐서 573억 달러에 불과했지요. 3,555억 달러 규모의 다

21

21 Aug 2026, 03:08 UTC≈3,080 views18 reactionsread 24 August 2026

제목; 반도체에 더 큰 위기는 4분기에 온다 . 오늘은 반도체 Q의 시대를 안정적으로 열어갈 수 있는 대박 호재를 먼저 소개해 드리고 시작하겠습니다. . 설명을 자세하기 드리기에 앞서서 PF라고 하는 금융 기법부터 설명드리죠. . 대기업 건설사에서 100조 원 짜리 건물을 짓는다고 해보겠습니다. 그냥 자력을 지을 수 있을까요? 턱도 없습니다. 그 필요한 돈을 몽땅 빌려서 하다가는 자체 신용 등급이 추락해서 결국 완성하기도 전에 망할 겁니다. . 그럼 어떤 방법으로 건설이 가능할까요? 프로젝트 파이넨싱이라는 금융 기법이라면 가능합니다. 시행사라고 부르는 이른바 SPV...즉 부도 차단 법인을 만들어서 신용과 시공을 분리한다면 가능한 일이죠. 건설사는 그냥 시공에만 전념하면 됩니다. 시행사는 완공 이후에 발생하는 미래의 안정적 현금 흐름, 이를테

18

20 Aug 2026, 20:10 UTC≈3,580 views8 reactionsread 24 August 2026
Photo

뉴욕증시는 3대지수 모두 하락했고, 마이크론(+3.97%), 샌디스크(+2.02%) 등 메모리 섹터만 강세를 보였던 하루였네요. 코스피 야간 선물은 -0.6% 정도 하락을 하고 있습니다.

8

Showing the 12 most recent of 76 posts we hold for @sejongdata2013. 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 — 152,861 of 1,585,759entries 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

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 1 registered channel — 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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“세종기업데이터” (@sejongdata2013), 23,433 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/sejongdata2013.

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.