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Channel

사제콩이_서상영

@ehdwl

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

32,133subscribers

+915 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-1001157157231
TypeChannel
Username@ehdwl
Created4 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ehdwl

Topic

Crypto & trading — 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 9 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 7 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 (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ehdwl/11206 · this entry16 Oct 2026, 20:24 UTC@tazastock/7931017 Oct 2026, 00:32 UTC1.004.1 hours
@ehdwl/11277 · this entry6 Nov 2026, 21:28 UTC@sharpha/572376 Nov 2026, 23:36 UTC1.002.1 hours
@ehdwl/11278 · this entry6 Nov 2026, 21:29 UTC@sharpha/572386 Nov 2026, 23:37 UTC1.002.1 hours
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
@tazastock46 (8/8 hand-verifiable sample passed)1.0058 minutesthis entry (46–0)
@sharpha6 (6/6 hand-verifiable sample passed)1.0062 minutesthis entry (6–0)

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 0 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 303 comparable posts for this entry, running 31 July 2026 to 10 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 7 channels, the one whose matching posts we hold earliest is @ehdwl — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 11 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 7 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

31,21832,13331,675.56 August 202611 November 2026
66 measurements spanning 97 days, net +915. 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 31,081–32,270 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
11 Nov 2026, 20:2632,133+12
9 Nov 2026, 23:0132,121-9
8 Nov 2026, 12:4632,130+12
7 Nov 2026, 08:2032,118+5
6 Nov 2026, 11:0632,113+3
5 Nov 2026, 09:5632,110+8
4 Nov 2026, 12:0932,102+24
3 Nov 2026, 11:1932,078+38
2 Nov 2026, 10:4532,040+7
1 Nov 2026, 09:3532,033-5
31 Oct 2026, 12:2832,038+13
30 Oct 2026, 09:3932,025+3
29 Oct 2026, 08:0832,022+3
28 Oct 2026, 07:2732,019+15
27 Oct 2026, 10:4632,004+3
26 Oct 2026, 13:4532,001+3
25 Oct 2026, 17:1031,998+1
24 Oct 2026, 17:1431,997+9
23 Oct 2026, 20:2031,988+10
22 Oct 2026, 23:3731,978first reading

Engagement

309 posts held, back to 31 July 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 168 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
27.8%
avg views ÷ 32,133 subscribers
Avg views / post
8,930
107 posts measured
Reaction rate
0.692%
reactions ÷ views · ER floor
Posts in window
107
of 309 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 11 November 2026
Posts held309 (31 July 2026 – 11 November 2026)
Views total955,774
Reactions total6,615
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:49 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
≈169
Links
≈3,670

Lifetime counters from Telegram’s own channel header, read 11 November 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

20,120 reactions across 308 posts, in 49 distinct kinds. The most used accounts for 52.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10,48252.1%
👍8,06740.1%
🦄3751.86%
😭2741.36%
🔥1750.87%
👏1650.82%
💯1130.562%
🤬920.457%
🥰660.328%
🙏510.253%
🫡310.154%
😁280.139%
✍230.114%
🎉190.094%
😱170.084%
🤮110.055%
💩100.05%
🎃90.045%
👎90.045%
🕊90.045%
29 further kinds940.467%

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 308 of the 309 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 20,120 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 309 most recent posts we hold, published 31 July 2026 to 11 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: 2 of 107 posts held from the last 30 days (1.87%) 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).

11 Nov 2026, 21:21 UTC≈1,070 views20 reactionsread 11 November 2026

*한국 증시 관련 수치: 옵션만기일, 다음주 변수 주목하며 매물 소화 예상, 외국인 수급 주목 MSCI 한국 증시 ETF는 6.20% 상승. MSCI 신흥지수 ETF도 2.43% 상승. 필라델피아 반도체 지수는 5.66% 상승. 러셀2000지수는 0.88% 상승. 다우 운송지수는 1.19% 상승. KOSPI 야간 선물은 1.96% 상승. 전일 서울 환시에서 달러/원 환율은 1,333.60원을 기록. NDF 달러/원 환율 1개월물은 1,336.40원을 기록. 한국 증시는 미국 AI, 반도체 관련주 급등과 코어위브의 신용위험 완화 기대에 상승 출발할 것으로 예상. 특히 필라델피아 반도체지수가 5.66%, 야간선물 1.96% 상승하고 삼성전자 GDR(+9.85%)과 SK하이닉스 ADR(+9.71%)도 상승한 점이 투자심리에 긍정적. 다만 11일 …

❤13👍7

11 Nov 2026, 21:20 UTC904 views10 reactionsread 11 November 2026

비트코인: 미국 기술주 급등에도 ETF 자금 유출 지속 비트코인은 나스닥과 AI 관련주가 급등한 가운데서도 7만 4,000달러 내외에서 등락을 보이며 제한적인 움직임을 보임. 특히 미국 비트코인 현물 ETF에서는 11월 10일까지 4거래일 연속 순유출이 발생한 것으로 집계돼 주식시장과 암호화폐 시장의 수급 차별화가 지속. 이러한 제한적인 등락에 스트레티지(+1.06%)는 상승. 로빈후드(+4.00%), 코인베이스(+3.13%), 서클 인터넷(+3.29%) 등 여타 관련 기업들은 강한 모습

👍7❤3

11 Nov 2026, 21:20 UTC≈1,530 views16 reactionsread 11 November 2026

*특징 종목: 마이크론, 엔비디아, 테슬라, 오라클, 샌디스크 급등 Vs. MS 부진 메모리, 스토리지 반도체: 코어위브, 앤트로픽, 골드만, 모건스탠리 영향에 급등 마이크론(+11.89%)는 샌디스크(+13.69%), SK하이닉스 ADR(+9.71%) 등 메모리 기업들은 큰 폭으로 상승. 코어위브의 실적 발표로 AI 신용 불안이 완화된 가운데 앤트로픽의 IPO 수요 급증에 따른 AI 산업 기대 유입, 그리고 모건스탠리가 메모리 관련주의 급락으로 투자 매력이 개선됐다고 발표하자 급등. 옵션거래에서 마이크론의 콜옵션 거래가 급증하는 등 수급적인 요인도 특징. 시게이트(+9.99%), 웨스턴디지털(+8.34%) 등 스토리지 기업들도 급등. 필라델피아 반도체 지수는 장중 7.89% 상승하기도 했지만 장 후반 상승 축소되며 5.66% 상승으로 마감…

❤8👍6👎1🕊1

11 Nov 2026, 21:20 UTC≈1,490 views16 reactionsread 11 November 2026

11/11 미 증시, 코어위브와 앤트로픽, 옵션 수급에 AI, 반도체 급등 후 상승 일부 축소 미 증시는 코어위브(+24.71%)의 실적과 자금조달 구조 개선 발표에 AI, 반도체주를 중심으로 급등. 특히 최근 AI 산업의 핵심 위험으로 부각됐던 신용위험이 일부 완화되면서 낙폭 과대 종목에 반발 매수세가 집중. 여기에 19일 앤트로픽의 IPO 공모물량의 수배의 주문이 몰렸다는 보도도 AI 투자 사이클에 대한 기대를 자극. 특히 옵션시장에서는 주요 기술주와 ETF의 당일만기 콜옵션 거래가 집중되면서 단기 수급도 영향. 이에 장 마감 앞두고는 되돌림이 유입되며 상승폭이 일부 축소된 점도 특징(다우 +0.48%, 나스닥 +1.60%, S&P500 +1.31%, 러셀2000 +0.88%, 필라델피아 반도체 +5.66%) *변화요인: 코어위브 신용…

❤9👍7

10 Nov 2026, 21:26 UTC≈5,410 views90 reactionsread 11 November 2026

*한국 증시 관련 수치: 외국인 선물 동향 주목 MSCI 한국 증시 ETF는 2.05% 하락. MSCI 신흥지수 ETF도 0.75% 하락. 필라델피아 반도체 지수는 0.36% 하락. 러셀2000지수는 0.68% 하락. 다우 운송지수는 0.10% 상승. KOSPI 야간 선물은 1.74% 하락. 전일 서울 환시에서 달러/원 환율은 1,337.50원을 기록. NDF 달러/원 환율 1개월물은 1,342.00원을 기록. 한국 증시는 국채금리 급등으로 매물이 출회되며 하락 출발이 예상. 특히 12월 연준의 50bp 금리 인상 가능성이 부각된 점이 전일 급등에 따른 차익실현 욕구를 자극할 것으로 판단. 여기에 엔비디아 젠슨 황 CEO 관련 논란이 미국 의회의 대중국 반도체 수출 규제 강화 움직임으로 확산된 점도 부담. 실제 민주당과 공화당 주요 의원들…

❤53👍33👏2🍓1🔥1

10 Nov 2026, 21:25 UTC≈8,040 views44 reactionsread 11 November 2026

양자컴퓨팅: 디웨이브 실적 부진과 CPI 충격에 동반 하락 디웨이브퀀텀(-8.63%)은 아이온큐(-0.99%)와 달리 주당 손순실이 예상과 달리 0.13달러로 확대되었다는 소식에 큰 폭 하락. 여기에 신규 수주액도 190만 달러에 그치며 전년 대비 19% 감소했다는 소식도 영향. 아이온큐는 상대적으로 하락은 제한. 리게티컴퓨팅(-6.39%)는 금리 급등 영향에 따른 매물 소화하며 하락. 이런 가운데 장 마감 후 매출이 예상을 하회한 결과에 시간 외 4% 하락 중 제약, 바이오: 일라이릴리 강세 지속, 모더나 차익실현 일라이릴리(+1.44%)는 비만치료제 젭바운드와 경구용 GLP-1 치료제 파운다요의 성장 기대가 지속되며 상승. 경기 방어 성격의 업종 성격도 반영. 반면 힘스앤허스(-16.61%)는 매출이 예상보다 부진했고 예상과 달리 적자로…

👍26❤16🔥1🗿1

10 Nov 2026, 21:25 UTC≈6,690 views59 reactionsread 11 November 2026

*특징 종목: 엔비디아, 마이크론, 모더나 부진 Vs. 브로드컴 상승, 코어위브 시간외 상승 메모리, 스토리지 반도체: 금리 급등과 AI 투자 부담에 동반 하락 마이크론(-1.10%), SK하이닉스 ADR(-3.51%), 샌디스크(-2.99%) 등 메모리 기업들은 국채 금리가 급등하자 차익 실현 매물 출회되며 하락. 여기에 엔비디아 사태가 국가 안보 논란으로 이어진 가운데 반도체 규제 강화 이슈가 부각된 점도 부담. 웨스턴디지털(-0.20%), 씨게이트(-0.89%) 등 스토리지 기업들도 동반 하락. 필라델피아 반도체 지수는 0.36% 하락. 특히 장 중 금리 상승이 축소되자 대부분 하락이 축소되는 경향. 필라델피아 반도체 지수도 2.56% 하락에서 낙폭 축소 AI 반도체: 엔비디아 하락 Vs. 브로드컴 상승 엔비디아(-5.47%)는 젠슨…

👍30❤27👌1🥰1

10 Nov 2026, 21:24 UTC≈6,820 views74 reactionsread 11 November 2026

11/10 미 증시, 높은 물가로 인한 금리 폭등과 엔비디아 여파로 하락 후 낙폭 축소 미 증시는 10월 소비자물가지수(CPI)가 예상을 상회하자 국채금리가 급등하며 하락 출발. 장중 국제유가 하락에 따른 반발 매수세가 유입되기도 했지만, 엔비디아(-5.47%)의 중국 관련 정보유출 의혹과 미 의회의 반도체 수출규제 강화 움직임이 부각되면서 기술주 중심으로 낙폭 확대. 특히 월러 연준 이사가 CPI 발표에 앞서 12월 50bp 금리 인상 가능성을 언급했고, 로건 댈러스 연은 총재도 추가 긴축 필요성을 강조하면서 금리 상승을 자극. 다만 장 후반으로 갈수록 국채금리 상승폭이 축소되고 국제유가도 하락하자 주요 지수는 낙폭 축소(다우 -0.30%, 나스닥 -0.74%, S&P500 -0.38%, 러셀2000 -0.68%, 필라델피아 반도체 지수 …

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9 Nov 2026, 21:23 UTC≈6,550 views80 reactionsread 11 November 2026

*한국 증시 관련 수치: 반도체 종목 상승 기대 속 외국인 수급 주목 MSCI 한국 증시 ETF는 3.72% 상승. MSCI 신흥지수 ETF도 2.87% 상승. 필라델피아 반도체 지수는 6.86% 상승. 러셀2000지수는 3.15% 상승. 다우 운송지수는 3.14% 상승. KOSPI 야간 선물은 5.78% 상승. 전일 서울 환시에서 달러/원 환율은 1,347.10원을 기록. NDF 달러/원 환율 1개월물은 1,340.30원을 기록. 전일 한국 증시는 외국인 매도세가 지난 주 후반에 비해 감소하며 한 때 2% 넘게 상승하기도 했지만 개인 투자자 중심으로 반도체 종목군에 대한 매도가 확대되자 결국 하락 전환. 이런 가운데 지난 주 급락의 원인이 결국 헤지펀드들의 과도한 집중화를 축소하는 등 수급적인 요인에 의한 결과라는 점, 그리고 관련 수급…

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9 Nov 2026, 21:23 UTC≈4,790 views46 reactionsread 11 November 2026

원전, 전력망: 컨스텔레이션에너지 실적 호조, 구글, 아마존 전력공급 계약 확대 컨스텔레이션에너지(+10.46%)는 예상을 상회한 실적을 발표하고 2026년 EPS 전망을 상향 조정하자 큰 폭으로 상승. 특히 구글, 아마존 등을 포함한 3개 고객과 약 4,560MW 규모의 장기 전력공급 계약을 확보하면서 올해 누적 계약 규모가 8,500MW를 상회한 점도 영향. 특히 컨퍼런스콜에서 데이터센터 규제 우려에도 실제 전력 수요와 장기 공급계약은 유지되고 있으며 규제에 대한 시장 반응이 과도했다고 설명한 점도 영향. 한편 비스트라(+7.31%)을 비롯해 GE버노바(+7.13%), 이튼(+5.14%) 등 전력망, 모놀로식파워(+16.60%) 등 전력 반도체, 블룸에너지(+11.91%), 오클로(+13.97%), 뉴스케일파워(+7.09%) 등 발전소 기…

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9 Nov 2026, 21:23 UTC≈7,170 views63 reactionsread 11 November 2026

*특징 종목: 엔비디아 부진, 마이크론, 브로드컴, 메타, 테슬라 상승 메모리. 스토리지 반도체: AI 수요 유지 기대와 과도한 매도 완화에 강세 마이크론(+6.28%), SK하이닉스 ADR(+5.53%), 샌디스크(+6.16%)는 물론 웨스턴디지털(+9.86%), 시게이트(+9.79%) 등이 동반 강세. 모건스탠리가 데이터센터 규제에 따른 투자 지연이 실제 AI 수요의 소멸을 의미하지 않는다며 반도체, 스토리지 기업에 대한 긍정적인 전망을 유지한 점이 투자심리를 개선. 여기에 지난주 급락 과정에서 집중됐던 헤지펀드 매도가 완화되면서 낙폭이 컸던 메모리 기업을 중심으로 반발 매수가 확대된 점도 특징. 필라델피아 반도체지수는 6.86% 급등 AI 반도체: AMD 투자의견 상향에 급등, 엔비디아는 CEO 관련 조사로 부진 엔비디아(-4.27%…

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9 Nov 2026, 21:22 UTC≈7,980 views72 reactionsread 11 November 2026

11/09 미 증시, 유가 급락과 AI 과매도 인식에 강세, 옵션 수급이 상승폭 확대 미 증시는 젠슨 황 CEO 관련 조사로 엔비디아(-4.27%)가 급락했지만, 국제유가 하락과 AI·반도체 관련주의 낙폭이 과도했다는 주요 투자은행들의 평가에 힘입어 강하게 상승. 특히 모건스탠리, UBS, 제프리스 등이 데이터센터 규제에 따른 AI 투자 위축 우려를 과도하다고 평가한 가운데, 지난주 대규모 레버리지 축소에 따른 매도 압력이 완화될 수 있다는 기대도 반발 매수를 자극. 여기에 미·이란 협상 진전 기대에 국제유가가 급락한 점도 긍정적. 결국 유가 하락과 과매도 인식이 반등을 촉발하고, SPY와 QQQ의 당일 만기 콜옵션 거래 프리미엄이 풋옵션의 약 15배에 달하는 등 옵션 수급이 상승폭을 확대(다우 +2.15%, 나스닥 +2.74%, S&P50…

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Showing the 12 most recent of 309 posts we hold for @ehdwl. 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

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Channels on the register that have forwarded this channel's posts into their own feed.

Brain and Body Research
@Brain_And_Body_Research · 34,560
81 posts
타점 읽어주는 여자(타자)
@tazastock · 40,978
33 posts
같이주식공부방
@aesrh2023 · 531
14 posts
주식클라쓰_하창봉👍
@sharpha · 9,279
6 posts
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 41,019
3 posts
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 26,513
3 posts
이프로 밸류스탁
@epro_valuestock · 313
3 posts
'문어'지지마
@ozaoza06 · 1,028
3 posts
수퍼삐셩의 15년 투자 프로젝트
@superbisheng_insight · 2,958
3 posts
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,450
2 posts
표상록의 경제버스
@psl0408 · 178
2 posts
경제 잘 알려주는 그냥 누나
@ssookster137_room · 276
2 posts
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,811
1 post
오를주식 - 뉴스/경제/주식
@GoUpstock · 21,089
1 post
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,672
1 post
Brave stock
@bravestock · 2,166
1 post
범송공자 X 29PER
@bumsong2 · 13,449
1 post
Fact and Truth
@coffeekhan007 · 888
1 post
디젠의 트레이딩 일지
@degen2468 · 13,025
1 post
간절한 투자스터디카페
@desperatestudycafe · 18,510
1 post
엘리트강사의 주식 공부방
@elite_instructor · 10,911
1 post
재야의 고수들
@gaoshoukorea · 41,200
1 post
[임직원 전용] ☆KB증권 해외주식☆ -글로벌BK솔루션부- 🇺🇸🇬🇧🇹🇼🇯🇵🇭🇰🇨🇦🇧🇪
@globalKB · 650
1 post
기분좋은 마곤
@magonia_b · 26,189
1 post
너쟁이의 성실한 추추생활
@nje2e · 8,956
1 post
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,789
1 post
BrinK · 텔레모아 공식채널📈
@primestocknote · 2,060
1 post
공부하는 탑맨방
@topnpick · 369
1 post
🗽엄브렐라(Umbrella Research) 리서치+ 네프콘 옆집부자형 since 2020
@umbrellaresearch · 13,069
1 post
야자반 - Y.Z. stock
@yaza_stock · 13,053
1 post

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“사제콩이_서상영” (@ehdwl), 32,133 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ehdwl.

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.