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Channel

주식클라쓰_하창봉👍

@sharpha

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

9,279subscribers

+254 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001399999791
TypeChannel
Username@sharpha
Description기억해야할 이슈/뉴스/자료 DB용도입니다/검색기능을 활용해서 지난자료도 검색가능//
CreatedBetween 1 January 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/sharpha

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 12 other registered channels. This entry also sits inside a group of 4 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
@bornlupin/210165 Nov 2026, 08:49 UTC@sharpha/57178 · this entry5 Nov 2026, 10:20 UTC1.001.5 hours
@bornlupin/210226 Nov 2026, 04:52 UTC@sharpha/57241 · this entry7 Nov 2026, 01:05 UTC1.0020 hours
@bornlupin/210376 Nov 2026, 14:01 UTC@sharpha/57245 · this entry7 Nov 2026, 01:08 UTC1.0011 hours
@bornlupin/210679 Nov 2026, 11:24 UTC@sharpha/57345 · this entry9 Nov 2026, 11:39 UTC1.0016 minutes
@sharpha/57225 · this entry6 Nov 2026, 01:04 UTC@Ten_level/939826 Nov 2026, 01:05 UTC1.0072 seconds
@sharpha/57226 · this entry6 Nov 2026, 01:06 UTC@Ten_level/939836 Nov 2026, 01:11 UTC1.005 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
@bornlupin30 (8/8 hand-verifiable sample passed)0.9982 minutes@bornlupin (30–0)
@Ten_level9 (8/8 hand-verifiable sample passed)1.0027 minutes@Ten_level (6–3)
@Yeouido_Lab7 (7/7 hand-verifiable sample passed)1.0088 minutes@Yeouido_Lab (6–1)
@nje2e10 (8/8 hand-verifiable sample passed)1.0047 minuteseven
@G2strategy10 (8/8 hand-verifiable sample passed)1.0055 minutes@G2strategy (10–0)
@idea_memo5 (5/5 hand-verifiable sample passed)1.0013 minutes@idea_memo (5–0)
@tazastock5 (5/5 hand-verifiable sample passed)1.0059 minutes@tazastock (5–0)
@HANAchina8 (8/8 hand-verifiable sample passed)1.0056 minutes@HANAchina (8–0)
@TNBfolio11 (8/8 hand-verifiable sample passed)1.0011 minutes@TNBfolio (11–0)
@free_life597 (7/7 hand-verifiable sample passed)0.9958 minutes@free_life59 (5–2)
@ehdwl6 (6/6 hand-verifiable sample passed)1.0062 minutes@ehdwl (6–0)
@bumsong29 (8/8 hand-verifiable sample passed)1.0022 minutes@bumsong2 (8–1)

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. 44 of the 44 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 193 comparable posts for this entry, running 6 August 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 4 channels, the one whose matching posts we hold earliest is @upper_limit_price. 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 keys clone_copy · clone_mutual, 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 4 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

9,0259,2889,156.57 August 2026 — 9,025 subscribers7 August 2026 — 9,025 subscribers8 August 2026 — 9,027 subscribers11 August 2026 — 9,036 subscribers15 August 2026 — 9,094 subscribers18 August 2026 — 9,102 subscribers21 August 2026 — 9,122 subscribers25 August 2026 — 9,131 subscribers28 August 2026 — 9,133 subscribers31 August 2026 — 9,132 subscribers4 September 2026 — 9,143 subscribers10 September 2026 — 9,152 subscribers14 September 2026 — 9,156 subscribers18 September 2026 — 9,153 subscribers27 September 2026 — 9,141 subscribers5 October 2026 — 9,131 subscribers12 October 2026 — 9,117 subscribers18 October 2026 — 9,118 subscribers20 October 2026 — 9,141 subscribers24 October 2026 — 9,164 subscribers26 October 2026 — 9,212 subscribers29 October 2026 — 9,225 subscribers1 November 2026 — 9,221 subscribers3 November 2026 — 9,286 subscribers7 November 2026 — 9,288 subscribers10 November 2026 — 9,279 subscribers9,2797 August 202610 November 2026
26 measurements spanning 95 days, net +254. 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 8,986–9,327 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 19:209,279-9
7 Nov 2026, 07:249,288+2
3 Nov 2026, 20:589,286+65
1 Nov 2026, 02:599,221-4
29 Oct 2026, 13:289,225+13
26 Oct 2026, 22:549,212+48
24 Oct 2026, 08:589,164+23
20 Oct 2026, 23:579,141+23
18 Oct 2026, 06:419,118+1
12 Oct 2026, 09:579,117-14
5 Oct 2026, 11:209,131-10
27 Sept 2026, 07:229,141-12
18 Sept 2026, 09:369,153-3
14 Sept 2026, 00:409,156+4
10 Sept 2026, 03:429,152+9
4 Sept 2026, 16:189,143+11
31 Aug 2026, 17:259,132-1
28 Aug 2026, 10:139,133+2
25 Aug 2026, 02:399,131+9
21 Aug 2026, 14:569,122first reading

Engagement

624 posts held, back to 6 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 46 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.5%
avg views ÷ 9,279 subscribers
Avg views / post
2,000
212 posts measured
Reaction rate
2.18%
reactions ÷ views · ER floor
Posts in window
215
of 624 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 209 of 212 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 10 November 2026
Posts held624 (6 August 2026 – 10 November 2026)
Views total423,190
Reactions total9,227
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:16 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
≈22,700
Videos
≈118
Links
≈23,000

Lifetime counters from Telegram’s own channel header, read 10 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.

Video runtime
10s
Average length
10s

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.

Reaction mix

26,105 reactions across 608 posts, in 9 distinct kinds. The most used accounts for 26.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🙏6,91226.5%
👍6,88726.4%
❤6,17923.7%
🤣2,5419.73%
✍1,1054.23%
👏9673.70%
😁8413.22%
🤩5101.95%
💯1630.624%

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 610 of the 624 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 26,105 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 624 most recent posts we hold, published 6 August 2026 to 10 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: 18 of 215 posts held from the last 30 days (8.37%) 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).

10 Nov 2026, 23:15 UTC61 viewsread 10 November 2026
Forwarded from @cahier_de_marketPhoto

* 코어위브 컨콜 중 2027년까지의 약속된 자본 지출의 75% 이상이 투자 등급 및 기업 고객과 연계되어 있다. 약 25%는 AI 연구소 및 AI-native 기업과 연계. 올해 거래의 70%에 대해 선지급금을 수집했으며, 일부 고객은 계약 가치의 최대 100%를 선불로 지급. 기존 인프라를 원래 가격 대비 "상당한 프리미엄"으로 재계약 중 3분기 말 기준 부채 가중 평균 비용은 7.9%로 하락했으며, 전년 동기 대비 250bp 감소. ** 시간외 하락했다가 +3.3%로 급반등 https://x.com/wallstengine/status/2120280129972871479?a=BSXd5Wpc1Yi2P17EphQ&s=19

10 Nov 2026, 23:15 UTC91 views0 reactionsread 10 November 2026
Forwarded from @insidertrackingPhoto

CoreWeave 2026년 3분기 실적 요약 📍실적 • 매출 $36.61억, 전년 $13.65억 대비 +168% • 영업이익 $2.07억, 전년 $5,200만 • 영업이익률 6%, 전년 4% • 순손실 $7.09억, 전년 $1.10억 • 희석 EPS -$1.27, 전년 -$0.22 • 조정 EBITDA $22.56억, 전년 $8.38억 • 조정 EBITDA 마진 62%, 전년 61% • 조정 영업이익 $3.79억, 전년 $2.17억 • 조정 영업이익률 10%, 전년 16% • 조정 순손실 $5.29억, 전년 $4,100만 • 영업현금흐름 $19.75억, 전년 $16.89억 • 설비투자 $94.41억, 전년 $32.79억 • 순이자비용 $8.46억, 전년 $3.10억 • 매출 수주잔고 약 $1,325억 • 현금 및 현금성자산 $41.22억 …

10 Nov 2026, 23:14 UTC91 viewsread 10 November 2026

#오픈AI, 3분기 매출 100억 달러로 급증 ​오픈AI(OpenAI)는 최신 모델과 기업용 제품에 대한 수요가 늘어나면서 성장 둔화기를 딛고 반등하여, 3분기 매출이 50% 급증한 약 100억 달러에 달했다고 투자자들에게 밝혔습니다 https://www.theinformation.com/articles/openai-revenue-jumps-10-billion-third-quarter

10 Nov 2026, 23:14 UTC151 viewsread 10 November 2026
Forwarded from @bornlupin

코어위브($CRWV) 2026년 3분기 어닝콜 1. 실적: 매출 급증, 수익성 개선 vs 이자비용 부담 • 매출 $37억(+168% YoY), 가이던스 상단 상회 • 수주잔고 약 $1,330억(+138% YoY), 사상 최고. 절반 이상은 2026년 말까지 서비스 제공이 시작될 계약과 연결 • 조정 영업이익 $3.79억, 이익률 10%(1Q 1%→2Q 5%→3Q 10%) • 조정 EBITDA $23억(+169% YoY), 마진 62% • 영업현금흐름 $20억 • GAAP 순손실 $7.09억(전년 $1.10억 손실), 이자비용 $8.46억(전년 $3.10억). 조정 순손실도 $5.29억으로 확대 → 영업 수익성은 빠르게 개선됐지만 금융비용은 여전히 큰 부담. 2. AI 수요·가격: 공급 부족이 가격 결정력으로 연결 • 2027년 말까…

10 Nov 2026, 23:07 UTC543 views7 reactionsread 10 November 2026
Forwarded from @G2strategyPhoto

글로벌 주식 시가총액 Top10 1위 애플. 유일한 5조달러대 2위 엔비디아. 3위 마이크로소프트에 역전 당하면 4위 알파벳 위협도 금방

🙏5❤1👍1

10 Nov 2026, 23:06 UTC573 views6 reactionsread 10 November 2026
Forwarded from @G2strategy

골드만삭스, 2030년 앤트로픽 매출 7000억달러 육박 예상 • 앤트로픽 2030년 매출 6850억달러로 지난해 매출보다 130배 이상 증가할 것으로 전망. 그 중 기업 매출은 연간 5860억달러 예상 • 올해 약 520억달러, 2027년 1360억달러, 2029년 4420억달러, 2030년 6850억달러 이상 제시. 2025년 매출은 46억달러. 설립 6년도 되지 않은 이 기업의 성장 전망이 놀랍다는 것을 강조 • 목표 달성 시 해당 클로드 대형 모델 개발사는 세계에서 가장 높은 매출 규모 자랑하는 기업 반열에 오를 것 • 2030년에야 앤트로픽 FCF 플러스 전환이 가능할 것으로 예상(약 336억달러). IPO 신청서에 따르면 앤트로픽은 향후 수년간 컴퓨팅파워 조달에 약 9000억달러 구매 약정 高盛预计Anthropic 2030…

👍4🙏2

10 Nov 2026, 23:05 UTC603 views6 reactionsread 10 November 2026
Forwarded from @HANAchina

• 미디어텍: 10월 연결 매출은 550.2억 대만달러(MoM -0.6%, YoY +5.7%)로 역대 10월 최고치를 기록했으며, 3개월 연속 500억 대만달러를 상회함. 1~10월 누적 매출은 5,244.2억 대만달러(YoY +5.3%). • 4분기 매출은 2,101억~2,218억 대만달러(환율 USD/TWD 31.7 기준)로 QoQ +25~32%, YoY +40~48%의 강한 성장을 제시. 달러 강세 흐름도 실적 달성에 우호적 요인으로 평가 • 1세대 AI 가속기는 9월 소량 출하를 시작으로 4분기 매출 25억 달러 달성을 전망. 2027년에는 목표치 상단인 160억 달러 매출 및 AI 가속기 ASIC 시장 점유율 20% 달성을 예상하며 공급망 Capa 확보에 주력 중 • 고객사 차세대 AI 인프라용 2번째 AI 가속기 ASIC 프로…

🙏6

10 Nov 2026, 23:04 UTC633 views9 reactionsread 10 November 2026
Forwarded from @siglab

[시그널랩 리서치] 장 전 주목할 만한 주요 뉴스 https://t.me/siglab 美 10월 CPI, 전월비 0.4% 상승…예상치 웃돌아(종합) 美 10월 NFIB 소기업 낙관지수 97.8…전달 대비 하락 월러 연준 이사, CPI 결과 따라 "12월 50bp 인상도 고려해야" 댈러스 연은 총재 "금리 최소 두 차례 더 올려야…겨울엔 속도 높일 수도" 캔자스시티 연은 총재 "현재 금리 수준 상당히 완화적" BOE 부총재 "12월 금리 인상은 분명히 가능한 시나리오" 이란 외무 "美 부통령·이란 안보 수장 회담 계획 없어"

👍4🙏4❤1

10 Nov 2026, 22:39 UTC≈1,150 views22 reactionsread 10 November 2026

코어위브 3분기 매출 서프라이즈 & 연간 가이던스 상향 조정. 시간외 약 6% 상승 • 매출 36.6억달러 vs. 예상 35.6억달러 • 순손실 -7.09억달러 vs. 예상 -8.504억달러 • 매출 backlog 약 1325억달러 • 연간 매출 130억-133억달러 예상 vs. 기존 예상 120억-130억달러 • 연간 RRR 가이던스 200억-210억달러로 상향 조정 • 코어위브 시간외 5.9%, 네비우스 3% 상승 CoreWeave收入超预期,上调全年营收指引,股价盘后涨约6% CoreWeave三季度营收36.6亿美元,分析师预期35.6亿美元。三季度净亏损7.09亿美元,分析师预期亏损8.504亿美元。至9月30日,销售订单积压大约1325亿美元。预计全年营收130亿-133亿美元,公司原本预计120亿-130亿美元。上调年度运行率营收(RRR)预期至200…

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10 Nov 2026, 15:54 UTC≈2,080 views62 reactionsread 10 November 2026
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이밤에 비리한 건 1.어제 시게 올랐고 2.여튼 물가지표 내렸지만 예상치 상회 3.유가 내려도 CPI 영향이 국채금리상승엔 기여함이고 4.뉴욕증시 개장전.엔트로픽 담주에 상장은 할건데 몸 값 더 내릴게에 대한 반응과 5.아니라할 수도 없는 새벽 코어위브 컨콜보자는 심리의 종합판

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10 Nov 2026, 15:50 UTC≈2,040 views35 reactionsread 10 November 2026
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그러치 시장은 절대치만큼이나 투자대비효율 가성비를 평가할겨

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Showing the 12 most recent of 624 posts we hold for @sharpha. 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

Republishes

Channels on the register whose posts this channel has forwarded.

루팡
@bornlupin · 49,242
22 posts
하나 중국/신흥국 전략 김경환
@HANAchina · 35,273
14 posts
한투증권 미국/중국전략 정정영
@G2strategy · 16,724
12 posts
TNBfolio
@TNBfolio · 25,163
8 posts
[한투증권 🚘 자동차 / 김창호 & 전유나]
@autoteamkorea · 4,114
5 posts
사제콩이_서상영
@ehdwl · 32,121
5 posts
실시간 역외 첩보망 PRO
@hyperspect · 4,750
5 posts
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 41,019
3 posts
미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 74,015
3 posts
[ IT는 SK ]
@skitteam · 18,244
3 posts
여의도스토리 Ver2.0-习近平是个狗东西
@YeouidoStory2 · 57,966
2 posts
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,874
2 posts
시장 이야기 by 제이슨
@bumgore · 35,370
2 posts
카이에 de market
@cahier_de_market · 23,076
2 posts
[미래에셋 배터리/디스플레이 김철중] 디배저
@cjdbj · 16,426
2 posts
DS Tech 이수림
@dssemicon · 5,763
2 posts
키움증권 미국주식 톡톡
@kwusa · 36,213
2 posts
[미래에셋 선진국 전략] 김성근
@mirae_dm · 6,313
2 posts
[시그널랩] Signal Lab 리서치
@siglab · 10,749
2 posts
YM리서치
@ym_research · 39,821
2 posts
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 26,513
1 post
Plan G Research
@Plan_G_Research · 6,328
1 post
글로벌 인사이트: Standard Capital
@STANDARDCAPITAL · 2,934
1 post
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,456
1 post
@아무자료 아무노래(2026년, 계급사회 가속화 3.0)
@anysong_Technon · 4,971
1 post
선수촌
@athletes_village · 22,138
1 post
DAOL 자동차/이차전지 유지웅
@auto_revolution · 5,418
1 post
가치투자클럽
@corevalue · 67,126
1 post
딘스티커 Dean's Ticker
@d_ticker · 16,242
1 post
[한투증권 강경태] 조선/기계(기자재)
@enc210406 · 9,414
1 post
프리라이프
@free_life59 · 12,707
1 post
[하나증권 ETF] 박승진
@globaletfi · 20,575
1 post
[미래에셋증권 시황] 김석환, 김주연
@globalmktinsight · 18,239
1 post
하나증권 IT 전기전자/부품 김민경
@hanaitmk · 2,065
1 post
투자의 빅 픽처를 위한 퍼즐 한 조각
@investment_puzzle · 14,298
1 post
[삼성 전종규] 차이나는 투자전략
@jkc123 · 11,340
1 post
[미래에셋 에너지/정유화학] 이진호
@miraeoillee · 7,086
1 post
[미래에셋 유틸리티/전력기기] 김태형
@miraepower · 1,456
1 post
묻따방 🐕
@mootda · 19,801
1 post
요약하는 고잉
@one_going · 48,209
1 post
용산의 현인
@petrojimmy · 7,003
1 post
실시간 주식 뉴스
@realtime_stock_news · 36,964
1 post
독학주식📚 (실전투자/인사이트공유🇰🇷🇺🇸)
@selfstudyview · 7,956
1 post
시황맨의 주식이야기
@shmstory · 39,582
1 post
CTRINE
@teamctrine · 8,436
1 post
지엘리서치_ 독립리서치
@valjuman · 7,230
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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“주식클라쓰_하창봉👍” (@sharpha), 9,279 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/sharpha.

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.