케빈 워시 젝슨홀 발언 3줄 요약 - AI가 물가와 성장 둘다 긍정적인 역할을 할 수 있는건 맞는데 언제가 될지는 모름 - 물가는 너무 높음 코로나 직후 만큼은 아니지만 그전에 비해서는 너무 높음 - 금리는 제약적인 수준이 아니며 데이터센터 건설 등에 계속 돈을 빌려서 투자하고 유동성은 풍부함 한줄평 : 난 시장이 무슨말을 해주길 원하는지 알고있어 알아서 잘하자
❤7

Channel
@GoUpstock
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
20,935subscribers
+113 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001678571507 |
|---|---|
| Type | Channel |
| Username | @GoUpstock |
| Description | 📈 돈이 되는 뉴스를 찾아드립니다. 오를 주식을 발굴하고 공유드립니다.🔥 멤버쉽 가입 & 비즈니스 문의 👉 https://t.me/QnA_inquiry 모든 정보는 투자 권유 목적이 아니며 해당 게시물의 내용은 부정확할 수 있습니다. 매매에 따른 손실은 거래 당사자의 책임입니다 해당 게시물의 내용은 어떤 경우에도 법적 근거로 사용될 수 없습니다. |
| Created | 4 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/GoUpstock |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 20:34 | 20,935 | +2 |
| 28 Aug 2026, 22:34 | 20,933 | +9 |
| 27 Aug 2026, 20:02 | 20,924 | +3 |
| 26 Aug 2026, 01:32 | 20,921 | -1 |
| 25 Aug 2026, 03:02 | 20,922 | -8 |
| 23 Aug 2026, 16:07 | 20,930 | +15 |
| 22 Aug 2026, 01:44 | 20,915 | +7 |
| 20 Aug 2026, 18:56 | 20,908 | +9 |
| 19 Aug 2026, 21:34 | 20,899 | +3 |
| 18 Aug 2026, 21:53 | 20,896 | +4 |
| 17 Aug 2026, 21:03 | 20,892 | +13 |
| 16 Aug 2026, 17:28 | 20,879 | +9 |
| 15 Aug 2026, 00:04 | 20,870 | +7 |
| 13 Aug 2026, 15:19 | 20,863 | +18 |
| 12 Aug 2026, 14:45 | 20,845 | -1 |
| 11 Aug 2026, 15:28 | 20,846 | +25 |
| 10 Aug 2026, 12:56 | 20,821 | -6 |
| 9 Aug 2026, 12:52 | 20,827 | +4 |
| 8 Aug 2026, 13:48 | 20,823 | +5 |
| 7 Aug 2026, 16:05 | 20,818 | first reading |
401 posts held, back to 5 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 50 pagesof Telegram’s post history, 20 posts per page.
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 233 of 401 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 401 (5 August 2026 – 28 August 2026) |
| Views total | 883,722 |
| Reactions total | 985 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 10:41 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.
Lifetime counters from Telegram’s own channel header, read 30 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.
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.
934 reactions across 211 posts, in 22 distinct kinds. The most used accounts for 41.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 384 | 41.1% | |
| 🤣 | 100 | 10.7% | |
| 👍 | 99 | 10.6% | |
| 🔥 | 74 | 7.92% | |
| 😱 | 56 | 6.00% | |
| 🤔 | 38 | 4.07% | |
| 🌭 | 33 | 3.53% | |
| 👏 | 33 | 3.53% | |
| 😁 | 25 | 2.68% | |
| 🙏 | 24 | 2.57% | |
| 😢 | 15 | 1.61% | |
| 😭 | 12 | 1.28% | |
| 🎉 | 9 | 0.964% | |
| 👀 | 9 | 0.964% | |
| ⚡ | 8 | 0.857% | |
| 💊 | 5 | 0.535% | |
| 🥰 | 5 | 0.535% | |
| ❤🔥 | 1 | 0.107% | |
| 🏆 | 1 | 0.107% | |
| 💯 | 1 | 0.107% | |
| 2 further kinds | 2 | 0.214% |
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 233 of the 401 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 985reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 401 most recent posts we hold, published 5 August 2026 to 28 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.
케빈 워시 젝슨홀 발언 3줄 요약 - AI가 물가와 성장 둘다 긍정적인 역할을 할 수 있는건 맞는데 언제가 될지는 모름 - 물가는 너무 높음 코로나 직후 만큼은 아니지만 그전에 비해서는 너무 높음 - 금리는 제약적인 수준이 아니며 데이터센터 건설 등에 계속 돈을 빌려서 투자하고 유동성은 풍부함 한줄평 : 난 시장이 무슨말을 해주길 원하는지 알고있어 알아서 잘하자
❤7
워시 연준 의장, 금리 인상 가능성 시사...힘 받는 9월 인상론 https://naver.me/FriumdsC
무역휴전은 기정사실. 기업인 동행한다면 기대 이상 https://n.news.naver.com/article/001/0016276276?sid=104
👀2❤1
한국 증시 쇼크 봤지?" 개별 레버리지 막은 日 https://n.news.naver.com/mnews/article/018/0006359659?sid=101 반면교사
😁3
Photo, posted without a caption
옵션 시장 구조로 본 잭슨홀 앞두고 주식 시장 관점 비대칭성 구조. 시장은 이미 수많은 금리 관련 악재를 견뎌냈으며 큰 매도세 없이 잘 버텨옴. 온건한 워시 의장 연설만으로 안도 랠리충분. 반면, 징정 매파적인 깜짝 발언이 나올 경우 현재 VIX가 반영하고 있는것보다 횔씬 큰 규모의 가격 재조정 일어날 수. SPY 변동성 기간 구조를 보면 옵션 시장은 잭슨홀 미팅보다 9/4 비농업 고용보고서(NFP), 9/16 FOMC 금리 결정, 10월 중간선거에 훨씬 더 높은 변동성을 반영하고 있음 장기 금리 상승은 연준의 금리 전망뿐만 아니라 국채 공급, 재정 적자, 경기 견조, AI 인프라 투자에 따른 자금 조달 경쟁이 복합 작용하고 있음 채권 시장의 또 다른 변수는 CTA 포지셔닝이 현재 미 국채 선물에 대해 대규모 숏(매도) 포지션을 취하고…
❤1
"잠자던 사옥이 재무카드로"…기업들 '부동산 장부' 다시 펼친다 [fn마켓워치] https://n.news.naver.com/article/014/0005567836?sid=101
❤1
원익로보틱스 전체 기업가치를 1.67조원으로 산정한 것. 기존에 원익홀딩스 재무제표상 원익로보틱스 장부금액은 165억원(96.4%)이었음
❤2
국민성장펀드, 원익로보틱스에 3500억원 투자한다 https://www.irobotnews.com/news/articleView.html?idxno=48173 관련 공시 https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20260828900360
❤2
#니어스랩 상승이유 (신규상장주 / 공모가 4.1만) 니어스랩, '한 발 55억' 미사일 아낀다…40개국서 검증한 AI 드론 기술로 軍 방어망 정조준 https://www.financialpost.co.kr/news/articleView.html?idxno=272589
🙏2
원안위, i-SMR 본심사 착수…2035년 상업운전 가능할까 https://n.news.naver.com/mnews/article/277/0005808683?sid=101
#파마리서치 +6% 상승이유😂 [파마리서치 딥시크②] 리쥬란 등 성장률 93.5%→6.2% 뚝...독점 프리미엄 사라질 위기 https://n.news.naver.com/mnews/article/018/0006359489?sid=105
Showing the 12 most recent of 401 posts we hold for @GoUpstock. 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.
@GoUpstock edited 1 post 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.
Citation-graph rank — 127,242 of 1,626,935entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“오를주식 - 뉴스/경제/주식” (@GoUpstock), 20,935 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/GoUpstock.
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.