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Channel

키움증권 미국주식 톡톡

@kwusa

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry

36,586subscribers

-266 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001191697168
TypeChannel
Username@kwusa
Created19 September 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/kwusa

Topic

Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.

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 word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@KiwoomResearch/236925 Aug 2026, 22:26 UTC@kwusa/60055 · this entry5 Aug 2026, 22:27 UTC1.00under a minute
@kwusa/60056 · this entry5 Aug 2026, 22:42 UTC@KiwoomResearch/236965 Aug 2026, 22:43 UTC1.00under a minute
@kwusa/60059 · this entry5 Aug 2026, 23:19 UTC@KiwoomResearch/237005 Aug 2026, 23:20 UTC1.00under a minute
@kwusa/60119 · this entry7 Aug 2026, 07:23 UTC@KiwoomResearch/237197 Aug 2026, 07:23 UTC1.00under a minute
@kwusa/60122 · this entry7 Aug 2026, 07:59 UTC@KiwoomResearch/237217 Aug 2026, 07:59 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@KiwoomResearch5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (41)

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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 39 comparable posts for this entry, running 5 August 2026 to 7 August 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).

Across the whole group of 3, the earliest publisher we hold is @KiwoomResearch. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

36,58636,85236,7196 August 2026 — 36,852 subscribers6 August 2026 — 36,852 subscribers7 August 2026 — 36,845 subscribers9 August 2026 — 36,848 subscribers9 August 2026 — 36,847 subscribers10 August 2026 — 36,843 subscribers11 August 2026 — 36,832 subscribers12 August 2026 — 36,824 subscribers13 August 2026 — 36,820 subscribers15 August 2026 — 36,804 subscribers16 August 2026 — 36,797 subscribers17 August 2026 — 36,789 subscribers18 August 2026 — 36,777 subscribers19 August 2026 — 36,780 subscribers20 August 2026 — 36,777 subscribers24 August 2026 — 36,751 subscribers25 August 2026 — 36,723 subscribers26 August 2026 — 36,719 subscribers27 August 2026 — 36,708 subscribers28 August 2026 — 36,688 subscribers29 August 2026 — 36,684 subscribers30 August 2026 — 36,672 subscribers31 August 2026 — 36,656 subscribers1 September 2026 — 36,646 subscribers2 September 2026 — 36,640 subscribers3 September 2026 — 36,645 subscribers5 September 2026 — 36,637 subscribers8 September 2026 — 36,617 subscribers11 September 2026 — 36,586 subscribers6 August 202611 September 2026
29 measurements spanning 36 days, net -266. 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 36,546–36,892 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
11 Sept 2026, 10:1836,586-31
8 Sept 2026, 19:3836,617-20
5 Sept 2026, 11:4136,637-8
3 Sept 2026, 14:1936,645+5
2 Sept 2026, 08:2236,640-6
1 Sept 2026, 05:0736,646-10
31 Aug 2026, 07:0736,656-16
30 Aug 2026, 08:1636,672-12
29 Aug 2026, 06:2336,684-4
28 Aug 2026, 09:0636,688-20
27 Aug 2026, 07:4236,708-11
26 Aug 2026, 07:4236,719-4
25 Aug 2026, 10:0636,723-28
24 Aug 2026, 07:1636,751-26
20 Aug 2026, 22:4736,777-3
19 Aug 2026, 23:4736,780+3
18 Aug 2026, 21:2336,777-12
17 Aug 2026, 19:3336,789-8
16 Aug 2026, 15:2936,797-7
15 Aug 2026, 01:2536,804first reading

Engagement

481 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 72 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.33%
avg views ÷ 36,586 subscribers
Avg views / post
1,580
385 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
385
of 481 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 September 2026
Posts held481 (5 August 202610 September 2026)
Views total610,026
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 14:13 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.

Recent posts

10 Sept 2026, 14:07 UTC137 viewsread 10 September 2026

제목 : 애플 iPhone 신제품 공개, 판매 전망 강화 BofA 외 *연합인포맥스* 뱅크오브아메리카의 Wamsi Mohan 애널리스트는 애플(NAS: AAPL)의 신제품 공개행사 이후, iPhone 판매 전망에 대한 자신감이 강화되었다고 발언했다. “iPhone Duo는 장기간 정체되어 있던 iPhone에 유의미한 폼팩터 변화를 가져왔다. 새로운 폼팩터에 매끄럽게 통합된 하드웨어와 소프트웨어에도 주목할 필요가 있다”고 평가했다. “당사는 이를 통해 애플의 총유효시장(TAM)이 확대될 수 있다고 본다”고 설명했다. 투자의견 매수와 목표주가 370달러를 유지했다. 베어드의 Will

10 Sept 2026, 11:28 UTC921 viewsread 10 September 2026

제목 : [실적 속보] 메이시스, 매출 가이던스 기대 못 미쳐 *연합인포맥스* 메이시스(NYS: M)는 FY27 2분기(5~7월) 실적을 다음과 같이 발표했다. ▲ 매출 49억 달러(+1.1% YoY)를 기록했다. 이는 컨센서스를 0.9억 달러 상회한다. ▲ 비GAAP EPS 0.63달러(+80% YoY)를 기록했다. 이는 컨센서스를 0.26달러 상회한다. 매출 가이던스가 기대에 미치지 못하면서 동사의 주가는 프리마켓에서 1.3% 하락 중이다. 동일매장매출 증가율은 2.7%를 기록했다. 브랜드별로는 Reimagine 200 Macy’s 브랜드 동일매장매출 증가율이 1.1%, Blo

10 Sept 2026, 08:47 UTC≈1,350 viewsread 10 September 2026

제목 : TSMC 8월 매출, 전년 동기 대비 53% 증가 *연합인포맥스* 시킹 알파는 인공지능 프로세서에 대한 강력한 수요 속에 TSMC(NYS: TSM)의 8월 매출이 전년 동기 대비 53% 증가했다고 보도했다. “TSMC는 8월에 매출 5,148억 신타이완달러(약 163.5억 미국달러)를 기록했다고 발표했다. 전년 동기 대비 53.3% 증가한 것이며, 전월 대비로도 10.1% 증가한 것이다”고 언급했다. 이에 따라 “TSMC의 1~8월 누적 매출은 3조 3,839억 신타이완달러로, 전년 동기 대비 39.3% 증가했다”고 전했다. TrendForce는 “인공지능

10 Sept 2026, 02:53 UTC≈1,810 viewsread 10 September 2026

제목 : [실적공시] 에어로바이런먼트, 수주잔고 사상 최대…시간외 상승 *연합인포맥스* -03 [실적공시] 에어로바이런먼트, 수주잔고 사상 최대&hellip;시간외 상승 에어로바이런먼트(NAS: AVAV)는 FY27 1분기(&#39;26년 5월~8월 1일) 영업실적을 다음과 같이 발표했다. ▲ 매출은 4억 8,050만 달러(+5.7% 이하 YoY)를 기록했다. 이는 컨센서스 4억 5,600만 달러를 약 2,450만 달러 상회한 것이다. ▲ 비GAAP EPS는 0.59달러(+84.4%)를 기록했다. 이는 컨센서스 0.25달러를 0.34달러 웃돈 수준이다. 동사 주가는 실적 발표 직후 시간외 거래에서

9 Sept 2026, 23:16 UTC≈1,360 viewsread 10 September 2026

[키움 미국전략/주식 김승혁] 🌏US Daily (9/10) (9/9 종가기준) - 주요 지수 수익률 S&P500 7,636.36 / -0.48% NASDAQ 종합 26,253.34 / -0.64% 다우산업 52,380.66 / -0.77% 러셀2000 2,921.23 / -1.32% 필라델피아 반도체 11,931.32 / 0.37% - 섹터별 수익률 High 3: 에너지 (1.09%), 은행 (0.39%), 엔터/미디어 (-0.02%) Low 3: 통신 (-2.50%), 가정용품 (-2.06%), 호텔/레저 (-1.70%) - 세부 업종별 수익률 에너지 1.09% 은행 0.39% 엔터/미디어 -0.02% 반도체 및 장비 -0.06% 하드웨어 -0.13% 제약 -0.29% 음식료 및 담배 -0.37% 소프트웨어 -0.39% 자동차 및 부

9 Sept 2026, 22:36 UTC985 viewsread 10 September 2026

[키움 글로벌 ETF 김진영] 🌏글로벌 ETF Daily (9/10) (9/9 종가기준) (Daily Return) 📈 주요 ETF 수익률 (전일대비) *시장 대표 ETF QQQ -0.29% SPY -0.46% DIA -0.75% IWM -1.37% *미국 상승 업종 XLE (에너지) 0.83% *미국 하락 업종 XLI (산업재) -1.51% XLY (경기 소비재) -1.34% XLU (유틸리티) -1.17% XLP (필수 소비재) -1.15% 🔥 주목할 만한 ETF 움직임 *1M Highs ZCSH 9.28%(ZCASH 현물) METW 7.70%(META 1.2x 주배당) BWET 6.04%(원유 유조선 운임 선물) MEIB 4.83% (META 옵션인컴) *1M Lows UBEW -3.41%(UBER 1.2x 주배당) AW

9 Sept 2026, 22:33 UTC≈1,070 viewsread 10 September 2026

제목 : 델, IT 하드웨어 탈상품화가 성장세 견인할 것 에버코어 *연합인포맥스* 에버코어의 Amit Daryanani 애널리스트는 델 테크놀로지스(NYS: DELL) 투자자들이 IT 하드웨어의 탈상품화에 따른 실적 성장세 가속에 주목해야 한다고 분석했다. “최근 델 주가가 상승세를 보이고 있으나, 당사는 추가적인 상승여력을 기대할 수 있다고 보고 있다. 네오클라우드 기업들의 델 제품 이용이 증가하고 있으며, 기업용 인공지능 서버 납품이 장기적인 성장세와 이익률 상승 양쪽에 기여할 것이라는 전망이 강화되고 있다. 또한 인공지능 인프라 전반에서 제기되고 있는 공급부족 리스크는 델의 점유율 확대로 나타

9 Sept 2026, 22:30 UTC≈1,140 viewsread 10 September 2026

https://www.youtube.com/live/0MyVHxEJxFQ?si=jWJyQCe15bZ5dVR5

9 Sept 2026, 14:45 UTC≈1,590 viewsread 10 September 2026

제목 : 메타, 뮤즈 출시, 수익화 견인할 것으로 기대돼 - 키뱅크 외 *연합인포맥스* 시킹 알파는 메타 플랫폼스(NAS: META)의 개인용 인공지능 에이전트 뮤즈가 메타의 수익화를 견인할 수 있다는 기대감이 나타나고 있다고 보도했다. “메타가 개인용 스탠드얼론 인공지능 에이전트인 뮤즈(Muse)를 출시했다. 뮤즈는 업무를 자동화하고 장기적인 계획을 구체적으로 실행할 수있다. 사용자 개인정보를 활용하여 업무를 처리한다는 점이 개인정보 유출 우려를 자극하고 있지만, 메타는 뮤즈가 분리된 가상머신 상에서구동될 것이므로 개인정보가 다른 플랫폼과 공유되지 않는다고 설명했다”고 전했다. “뮤즈는 또한 직관적인

9 Sept 2026, 12:22 UTC≈1,930 viewsread 10 September 2026

제목 : 알파벳, 핀란드 인프라에 150억 달러 이상 투자 *연합인포맥스* CNBC는 알파벳(NAS: GOOGL, GOOG)이 유럽 인공지능 인프라 구축 과정에서 핀란드 투자를 발표했다고 보도했다. “알파벳이 핀란드의 인공지능 인프라 구축에 130억 유로(약 151억 달러) 이상을 투자할 계획이다. 이는 알파벳의 유럽 투자 중 최대 규모의프로젝트가 된다”고 언급했다. “알파벳은 핀란드에 데이터센터뿐만 아니라 데이터센터를 운용하기 위한 에너지 인프라 등에도 투자하게 된다. 데이터센터 전력 공급을 위해 핀란드의 에너지 기업 ▲ Fortum과 22년간의 전력구매계약(PPA)를 체결하기도

9 Sept 2026, 11:58 UTC≈1,610 viewsread 10 September 2026

제목 : [개장 전 특징주] 에너지 섹터, 유가 상승세 이어지며 관심 *연합인포맥스* ▲ 에너지 섹터: 미국과 이란의 충돌이 계속되고 있는 가운데, 브렌트유 유가가 배럴당 100달러를 돌파했다. 엑슨 모빌(NYS: XOM) +0.9%, 셰브론(NYS: CVX) +0.8% 등을 기록하고 있다. ▲ 시그넷 주얼러스(NYS: SIG): 컨센서스를 상회하는 실적을 발표했고, 가이던스도 상향 조정했다. 프리마켓에서 13.1% 급등하고 있다. ▲ 케이시스 제너럴 스토어(NAS: CASY): 컨센서스를 상회하는 실적을 발표했지만, 동일매장매출 증가율이 저조한 것으로 나타났다. 프리마켓에서 10.7% 급락하고 있다

9 Sept 2026, 11:20 UTC≈1,520 viewsread 10 September 2026

제목 : 퀄컴, 아마존과의 협력은 기존 성장 목표에 이미 반영 바클레이즈 *연합인포맥스* 바클레이즈의 애널리스트는 퀄컴(NAS: QCOM)이 아마존과의 대규모 협력을 발표했지만, 성장 전망이 상향 조정되는 것은 아니라고 주장했다. “▲ 아마존닷컴(NAS: AMZN) AWS 클라우드가 퀄컴의 인공지능 반도체를 사용하는 협력을 발표했다. 퀄컴은 또한 아마존에 최대 40억 달러 규모의 주식을 취득할 수 있는 워런트를 발행한다”고 언급했다. “이는 퀄컴 주가 상승으로 연결됐지만, 당사는 이번 발표가 퀄컴의 성장 전망을 변화시키는 것은 아니라고 본다. 퀄컴 반도체의 인공지능 인프라 설치 확대와 이에 따른 실적 전망은 이미

Showing the 12 most recent of 481 posts we hold for @kwusa. 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

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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Read from Telegram’s recommendation API, most recently 2 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

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Telegram ranks this channel #31 of 91 here — alongside 90 others — read 8 September 2026
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Telegram ranks this channel #90 of 92 here — alongside 91 others — read 2 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 September 2026 — this entry's latest reading, not the date you are reading this.

“키움증권 미국주식 톡톡” (@kwusa), 36,586 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/kwusa.

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.