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Channel

[미래에셋 ETF/파생] 윤재홍

@qooowooo

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

6,700subscribers

+36 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001622911889
TypeChannel
Username@qooowooo
Created14 December 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/qooowooo

Topic

Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@globalmktinsight/72916 Aug 2026, 01:53 UTC@qooowooo/5257 · this entry6 Aug 2026, 02:41 UTC1.0049 minutes
@qooowooo/5929 · this entry2 Nov 2026, 03:11 UTC@globalmktinsight/78032 Nov 2026, 04:29 UTC1.0077 minutes
@globalmktinsight/78122 Nov 2026, 06:39 UTC@qooowooo/5931 · this entry2 Nov 2026, 06:39 UTC1.00under a minute
@globalmktinsight/78294 Nov 2026, 03:49 UTC@qooowooo/5943 · this entry4 Nov 2026, 03:50 UTC1.00under a minute
@globalmktinsight/78525 Nov 2026, 22:38 UTC@qooowooo/5953 · this entry5 Nov 2026, 22:39 UTC1.00under a minute
@eqmirae/31266 Aug 2026, 01:20 UTC@qooowooo/5257 · this entry6 Aug 2026, 02:41 UTC1.0082 minutes
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
ChannelMatching postsText overlapTypical gapPublished first
@globalmktinsight14 (8/8 hand-verifiable sample passed)0.9913 minutes@globalmktinsight (10–4)
@eqmirae7 (7/7 hand-verifiable sample passed)1.0014 minutes@eqmirae (5–2)

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. 11 of the 11 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 60 comparable posts for this entry, running 4 August 2026 to 8 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).

Of the group of 3 channels, the one whose matching posts we hold earliest is @chinadagudong. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 12 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.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

6,6636,7246,693.56 August 2026 — 6,664 subscribers6 August 2026 — 6,663 subscribers9 August 2026 — 6,664 subscribers12 August 2026 — 6,673 subscribers15 August 2026 — 6,681 subscribers18 August 2026 — 6,678 subscribers21 August 2026 — 6,680 subscribers24 August 2026 — 6,679 subscribers30 August 2026 — 6,680 subscribers2 September 2026 — 6,689 subscribers7 September 2026 — 6,687 subscribers11 September 2026 — 6,709 subscribers15 September 2026 — 6,713 subscribers27 September 2026 — 6,724 subscribers5 October 2026 — 6,722 subscribers12 October 2026 — 6,711 subscribers15 October 2026 — 6,705 subscribers18 October 2026 — 6,707 subscribers21 October 2026 — 6,718 subscribers24 October 2026 — 6,707 subscribers27 October 2026 — 6,713 subscribers29 October 2026 — 6,711 subscribers2 November 2026 — 6,707 subscribers4 November 2026 — 6,703 subscribers7 November 2026 — 6,699 subscribers11 November 2026 — 6,700 subscribers6,7006 August 202611 November 2026
26 measurements spanning 98 days, net +36. 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 6,654–6,733 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
11 Nov 2026, 21:086,700+1
7 Nov 2026, 21:006,699-4
4 Nov 2026, 21:106,703-4
2 Nov 2026, 00:556,707-4
29 Oct 2026, 20:296,711-2
27 Oct 2026, 04:506,713+6
24 Oct 2026, 02:546,707-11
21 Oct 2026, 01:006,718+11
18 Oct 2026, 01:086,707+2
15 Oct 2026, 04:396,705-6
12 Oct 2026, 03:176,711-11
5 Oct 2026, 13:006,722-2
27 Sept 2026, 14:596,724+11
15 Sept 2026, 07:376,713+4
11 Sept 2026, 14:386,709+22
7 Sept 2026, 04:386,687-2
2 Sept 2026, 18:236,689+9
30 Aug 2026, 18:136,680+1
24 Aug 2026, 23:336,679-1
21 Aug 2026, 11:576,680first reading

Engagement

112 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 19 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.0%
avg views ÷ 6,700 subscribers
Avg views / post
806
34 posts measured
Reaction rate
0.173%
reactions ÷ views · ER floor
Posts in window
34
of 112 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 7 of 34 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 8 November 2026
Posts held112 (4 August 2026 – 8 November 2026)
Views total27,418
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 15:57 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

19 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 78.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1578.9%
🤯315.8%
👍15.26%

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 19 of the 112 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 112 most recent posts we hold, published 4 August 2026 to 8 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 34 posts held from the last 30 days (2.94%) 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).

8 Nov 2026, 23:57 UTC622 viewsread 9 November 2026

[이슈&ETF] 한국 주식형 ETF 편출입 Weekly (2026.11.2~11.6)∥미래에셋증권 윤재홍 ▼[자료 링크] https://han.gl/or4Jd 지난 주(11.2~11.6) 한국 주식형 ETF의 편출입 내역을 정리한 자료입니다. 이번 주 수요일(11/12) MSCI Korea 지수 발표가 예정되어 있고, 코스피 200·코스닥 150 등 대표 지수 발표는 11월 중 예정되어 있습니다. ✅- (산업) 코스피 반도체가 순편입 수 1위(11건). 직전 3주 연속 1위였던 코스닥 반도체는 순편출 1위(-13건)로 전환, 반도체 내 코스닥 편출/코스피 편입 뚜렷. 코스피 건강관리(6건)도 순편입 상위 ✅- (종목) 삼성SDI 편입 최다(4건), AI/디지털 외 배당·산업/정책 ETF에 고루 편입. 셀트리온·한미약품은 주주가치, 전략 …

8 Nov 2026, 23:44 UTC≈2,080 viewsread 9 November 2026

[Weekly Flow Monitor] 한국 현물·선물/옵션·ETF 매매 동향(11/2~6)∥미래에셋증권 김석환, 윤재홍 ▼[자료 링크] https://han.gl/2WsZs *데이터는 주간(5거래일) 합산치 📌[현물 매매 동향] - 주간 외국인 순매도 확대(-10.6조). 기관은 반도체·건강관리 위주 순매수(+4.4조) - (산업) 기관, 외국인 동반 순매수 산업: 인터넷(3,008억/1,184억), 운송(2,684억/149억). 반도체는 기관 순매수(1.3조), 외국인 대규모 순매도(-7.6조) (종목) - 외국인 코스피 순매수 상위: NAVER(1,191억), 대덕전자(879억) - 외국인 코스피 순매도 상위: SK하이닉스(-5.4조), 삼성전자(-2.2조) - 기관 코스피 순매수 상위: SK하이닉스(1.4조), 셀트리온(3,87…

8 Nov 2026, 23:11 UTC584 viewsread 9 November 2026

장시작 전 보는 코스닥 뉴스(11/9)∥미래에셋증권 윤재홍   [자료] '코스닥 Level-UP의 시그널' 점검(8/24) https://han.gl/jKhre   <주요 뉴스/정책> ✅1. 코스닥 기술특례상장…"성장 뒷받침할 시장으로 기능 재편을" • 기술특례, 상당수 상장 후에도 적자와 낮은 매출…”실질적 성장 위한 시장 기능 재편 시급 의견” • 자본시장연구원, 5년 보유기간 초과수익률 평균 특례상장 그룹 8.4%, 그룹의 75% 분위는 -8% 수준 [링크] http://junggi.co.kr/news/articleView.html?idxno=38345 ✅2. '반대매매 급증' 급한불 끄는 당국.. '신용공여 140%룰' 9일부터 면제 • 1월 31일까지 증권사 신용공여 담보비율 유지의무 면제, 탄력적 담보유지비율 적용 통해 증시 변동…

8 Nov 2026, 04:35 UTC685 views1 reactionsread 9 November 2026

한국 ETF 시장 자금 동향 요약 (11/2~11/6, 5거래일) 1. 전체 동향 • 5거래일 순유입 규모는 약 693억 원 • 해외 주식 ETF가 5,620억 원 순유입으로 가장 컸고, 한국 주식 ETF도 1,411억 원 순유입을 기록. 반면 한국 주식 인버스는 1,373억 원 순유출 • 주요 유입은 미국 대표 5,300억 원, 중소형주 2,849억 원, 대형주 1,803억 원, 글로벌 반도체 917억 원, 2차전지·전기차 911억 원 2. 특징 키워드/상세 • (해외 주식 중심 유입) 미국 대표 5,300억 원, 글로벌 반도체 917억 원, 중국 주식 100억 원 순유입 • ✅ (중소형주 유입 확대) 중소형주 2,849억 원 순유입. 특히 코스닥150에서 2,811억 원 유입 • ✅ (2차전지 자금 유입) 2차전지·전기차 911억 원 …

❤1

6 Nov 2026, 22:22 UTC775 views1 reactionsread 9 November 2026
Photo

ETF로 보는 미국 시장 동향(11/6): AI주 반등/시장 폭 혼조 📌시장동인 • S&P500 +0.3%, 나스닥 +1.1%, 다우 -0.5%; 반도체·AI 위주 반등, S&P500 내 하락 종목 > 상승 종목 • 미 10년물 4.86%(+2bp); 반도체·기술주 강세, 필수소비재·소매 약세 • 10월 비농업고용 +16.5만명·실업률 4.1%, 시간당임금 +0.4%; 견조한 고용이 금리 상승 요인 📌[Key ETFs] • 반도체(SOXX, +4.3%): 전일 투매 뒤 엔비디아·램리서치·마이크론 중심 반발 매수 • 우라늄(URA, +4.4%): 우라늄 현물 상승과 원전 연료주 강세 • 태양광(TAN, +3.4%): 민주당 의회 장악 후 청정에너지 정책 기대 지속 📌상승 키워드 우라늄(URA) +4.4% 반도체(SOXX) +4.3% 태양광…

❤1

6 Nov 2026, 22:22 UTC618 viewsread 9 November 2026

어제 미처 못 올려드렸군요. 월~목 기준입니다.

6 Nov 2026, 22:21 UTC638 viewsread 9 November 2026

[주간 글로벌/한국 ETF 시장 동향] 미국 중간선거 종료, AI 규제 우려에 반도체/정보기술 하락(2026.11.2~11.5)∥미래에셋증권 윤재홍 ▼[주간 시장 동향] https://han.gl/T8CFy *기준(금요일 발간 기준) 수익률: 직전 주 마지막 거래일 → 목요일 자금: 한국 월~목 / 미국 월~수(직전 목/금 데이터는 직전 주 주간 단위로 반영) ** 자세한 내용은 보고서를 참고해주세요. 감사합니다. ▼텔레그램 링크 https://t.me/qooowooo

6 Nov 2026, 02:48 UTC517 viewsread 9 November 2026

[미래에셋증권 선진국 전략 김성근/시황 김석환] Market Issue - 시장코멘트: 데이터센터와 AI 포지션 청산 Key Takeaways · AI 투자 기대 재평가, 헤지펀드 디레버리징과 시스템 매도로 확산. 레버리지 ETF·CTA 매도와 외국인 수급 악화가 변동성 확대 요인으로 작용 · 민주당의 상하원 장악 외에 텍사스 등 데이터센터 활동 상위 주의 주지사 당선이 매도를 자극. 민주당 주지사들은 모라토리움, 세제 혜택 철회 등의 정책을 옹호 · 연말까지 시장 변동성 확대 가능성에 유의. 실질적 정책 변화, 외국인 수급 및 시스템 매도 등을 확인하며 관전 스탠스 유지 필요 https://securities.miraeasset.com/bbs/maildownload/20261106112152990_156 * 어려운 시장 상황 및 투자 …

6 Nov 2026, 01:20 UTC600 viewsread 9 November 2026

마켓 뷰 (11월 6일) ▶ Summary: 코스피 서킷 브레이커, 코스닥 매도 사이드카 -코스피 4,931.84(-451.96p, -8.39%), 코스닥 630.88(-47.53p, -7.01%) -코스피 초반 8%대↓, 5천선 하회하며 연저점 경신..서킷 브레이커 발동 · 롯데렌탈: 경영권 인수한 텍사스퍼시픽 그룹, 잔여 지분 전량 공개매수 후 상장폐지 추진. 롯데렌탈(+10.40%) · 씨어스: 서버 수급 차질로 주력 제품 ‘씽크’ 공급 일정 지연..3분기 영업적자. 씨어스(-29.03%) · 한진칼우: 호반건설과 조원태 한진그룹 회장 지분 경쟁 이어지는 가운데 5거래일째 급등. 한진칼우(+24.03%) · 부총리 “증시 펀더멘털 대비 지나친 반응 않도록 선제 조치 적기 시행할 것” · 위험 회피 심리에 달러 강세..달러-원 환율 …

5 Nov 2026, 23:43 UTC638 views2 reactionsread 9 November 2026

장시작 전 보는 코스닥 뉴스(11/6)∥미래에셋증권 윤재홍   [자료] '코스닥 Level-UP의 시그널' 점검(8/24)   https://han.gl/jKhre     <주요 뉴스/정책> 11/6 ✅1. [공시] 11월 6일, 코스닥 상장사 78개 종목 자사주 매수 신청 • 직접 방식, 21개 종목이 총 43.2만주의 자기주식 매수를 신청, 에스폴리텍 8.6만주, 감성코퍼레이션 5만주 등 • 신탁 방식, 57개 종목이 총 69.6만주의 자기주식 매수를 신청, 리메드 5만주, 칩스앤미디어 4만주 등 [링크] https://www.newstnt.com/news/articleView.html?idxno=727018 ✅2. 출범 7개월 BDC시장… 상품 출시 1개 그쳐 • 기업성장집합투자기구(BDC) 제도 시행 7개월 째, 출시된 상품은 1개에…

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5 Nov 2026, 22:39 UTC496 viewsread 9 November 2026

글로벌 마켓 브리핑(11월 6일) ▶미국증시 전 업종 하락..나스닥 5.5%↓, 다우 3.4%↓ *Key Indices 1. 미국증시 주요지수 - 다우존스 산업평균: 51,523.06/ -3.44% - S&P500: 7,353.73/ -4.36% - 나스닥 종합: 24,314.99/ -5.52% - 나스닥 100: 26,629.80/ -6.36% - 러셀 2000: 2,729.88/ -4.45% - 필라델피아 반도체: 9,011.14/ -12.25% - VIX: 28.18/ +69.66% 2. S&P500 업종지수 필수소비재 -0.67%/ 유틸리티 -0.71%/ 부동산 -1.82%/ 커뮤니케이션 -1.86%/ 헬스케어 -2.50%/ 소재 -2.70%/ 금융 -2.74%/ 에너지 -2.81%/ 경기소비재 -3.74%/ 산업재 -4.12%/…

Showing the 12 most recent of 112 posts we hold for @qooowooo. 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

@qooowooo 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.

First edit seen
9 November 2026
Most recent edit
9 November 2026

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 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.

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.

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.

천지일보 독자알림창
@cheonjiilbo · 19,687
Telegram ranks this channel #19 of 65 here — alongside 64 others — read 30 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 November 2026 — this entry's latest reading, not the date you are reading this.

“[미래에셋 ETF/파생] 윤재홍” (@qooowooo), 6,700 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/qooowooo.

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.