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AWAKE - 실시간 주식 공시 정리채널

@darthacking

On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

65,571subscribers

+1,644 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-1001066938528
TypeChannel
Username@darthacking
Created17 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/darthacking

Topic

Other / unclassifiable — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 58% 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 10 other registered channels. 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
@darthacking/155512 · this entry27 Oct 2026, 07:07 UTC@Yeouido_Lab/3843127 Oct 2026, 07:07 UTC1.00under a minute
@darthacking/155400 · this entry26 Oct 2026, 06:46 UTC@tazastock/7987826 Oct 2026, 07:12 UTC1.0026 minutes
@darthacking/156317 · this entry4 Nov 2026, 08:07 UTC@alexppark/50514 Nov 2026, 08:32 UTC1.0025 minutes
@darthacking/156318 · this entry4 Nov 2026, 08:12 UTC@alexppark/50524 Nov 2026, 08:32 UTC1.0020 minutes
@darthacking/156320 · this entry4 Nov 2026, 08:20 UTC@alexppark/50534 Nov 2026, 08:32 UTC1.0011 minutes
@darthacking/156586 · this entry6 Nov 2026, 08:01 UTC@alexppark/50806 Nov 2026, 08:02 UTC1.00under a minute
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
@Yeouido_Lab34 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (34–0)
@tazastock17 (8/8 hand-verifiable sample passed)1.0015 minutesthis entry (17–0)
@pharmbiohana20 (8/8 hand-verifiable sample passed)1.007 minutesthis entry (20–0)
@alexppark5 (5/5 hand-verifiable sample passed)1.0016 minutesthis entry (5–0)
@FastStockNews5 (5/5 hand-verifiable sample passed)1.002 minutesthis entry (5–0)
@Ten_level7 (7/7 hand-verifiable sample passed)1.002 minutesthis entry (7–0)
@bornlupin13 (8/8 hand-verifiable sample passed)1.005 minutesthis entry (13–0)
@mnJeong_BIO5 (5/5 hand-verifiable sample passed)1.0023 minutesthis entry (5–0)
@huhpharm6 (6/6 hand-verifiable sample passed)1.002 minutesthis entry (6–0)
@hogniel5 (5/5 hand-verifiable sample passed)1.0011 minutesthis entry (5–0)

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 2,176 comparable posts for this entry, running 5 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).

Recorded under the keys clone_mutual · 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.

Growth

63,92765,59664,761.565,5716 August 202610 November 2026
65 measurements spanning 97 days, net +1,644. 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 63,677–65,846 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 23:1965,571-6
9 Nov 2026, 09:4965,577-13
8 Nov 2026, 02:5965,590+1
6 Nov 2026, 21:1065,589-7
5 Nov 2026, 22:1665,596+19
4 Nov 2026, 22:4665,577+3
4 Nov 2026, 00:4965,574+37
3 Nov 2026, 02:4065,537+6
2 Nov 2026, 04:5965,531+14
1 Nov 2026, 07:1465,517-2
31 Oct 2026, 08:0965,519+8
30 Oct 2026, 11:3565,511+93
29 Oct 2026, 11:3665,418+19
28 Oct 2026, 13:1965,399+67
27 Oct 2026, 14:0665,332+80
26 Oct 2026, 16:1565,252+3
25 Oct 2026, 19:3765,249+4
24 Oct 2026, 19:2565,245+3
23 Oct 2026, 20:1665,242+13
22 Oct 2026, 21:5165,229first reading

Engagement

2,181 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 195 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.74%
avg views ÷ 65,571 subscribers
Avg views / post
3,110
762 posts measured
Reaction rate
0.109%
reactions ÷ views · ER floor
Posts in window
762
of 2,181 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 589 of 762 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 held2,181 (5 August 2026 – 10 November 2026)
Views total2,369,112
Reactions total2,130
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 21:35 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

2,581 reactions across 695 posts, in 5 distinct kinds. The most used accounts for 62.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,61662.6%
😭44217.1%
👍27810.8%
👏1535.93%
🔥923.56%

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 725 of the 1,000 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 2,581 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 September 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: 7 of 762 posts held from the last 30 days (0.919%) 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, 11:23 UTC≈4,150 views7 reactionsread 10 November 2026

📊 2026년 3분기 어닝 서프라이즈 종목 현황 - 현재까지 발표된 어닝서프라이즈 종목 현황입니다. - 매출, 영업익, 순익 예상치와 발표치, 당시주가 대비 수익률, 주가차트 등을 한눈에 확인할 수 있습니다. 서프라이즈 종목👉 https://www.awakeplus.co.kr/board/daily_data/3120

❤6👍1

10 Nov 2026, 11:22 UTC≈4,220 views11 reactionsread 10 November 2026

📊 실적 발표 정리(11월 10일) 영업익 컨센대비 / (종목/ 발표/ 예상/ 괴리) 🔵 어닝 쇼크(-10%↓) 크레버스/ 24억/ 29억(-17.2%) F&F/ 1,084억/ 1,267억(-14.4%) 시프트업/ 207억/ 256억(-19.1%) 현대공업/ 4억/ 32억(-87.5%) 크래프톤/ 2,250억/ 2,715억(-17.1%) 신세계인터내셔날/ 51억/ 72억(-29.2%) GKL/ 96억/ 153억(-37.3%) 지역난방공사/ -79억/ 478억(적자전환) 🔹 하회(-10~0%) or 5분기 최저 세이브존I&C/ -18억/ (5분기 최저) 동원산업/ 1,497억/ 1,636억(-8.5%) 신세계/ 1,643억/ 1,697억(-3.2%) 토비스/ 74억/ (5분기 최저) 헥토이노베이션/ 153억/ 159억(-3.8%) 케이티/ …

❤7🔥2😭2

10 Nov 2026, 11:22 UTC≈3,700 views8 reactionsread 10 November 2026

📊 실적 발표 정리(11월 10일) 영업익 컨센대비 / (종목/ 발표/ 예상/ 괴리) 🔴 어닝 서프라이즈(+10%↑) 파라다이스/ 641억/ 542억(+18.3%) 덴티움/ 159억/ 138억(+15.2%) 메디톡스/ 155억/ 82억(+89.0%) 데브시스터즈/ 72억/ 57억(+26.3%) ♦️ 상회(0~+10%) or 5분기 최대 경동나비엔/ 378억/ 377억(+0.3%) 오로스테크놀로지/ 4억/ (5분기 최대) 아진전자부품/ 20억/ (5분기 최대) NHN/ 588억/ 538억(+9.3%)

❤6👏2

10 Nov 2026, 11:22 UTC≈3,420 views5 reactionsread 10 November 2026
Photo

(공지) AWAKE프로 버전 안내 매일 투자정보를 확인하는 루틴이 더욱 쉬워지고, 실적 시즌에는 더 나은 투자 판단을 할 수 있도록 AWAKE PRO를 활용해보세요. 📌 AWAKE PRO에서 제공하는 주요 기능 - 하루 중요공시 (매일 중요한 공시만 약 3분 안에 확인) - 실적 발표 전용 채널 - 실적 발표 엑셀 정리 - 실적 추정치 변화 - 주요 애널리스트 리포트 선별 - 지분공시 · 판매계약 전용 채널 - 투자경고 · 단기과열 예상 - 공시 이후 주가 흐름 분석 그리고 이번 업데이트에서는 회원 전용 웹서비스도 함께 추가되었습니다. 👉 자세히 보기 https://www.awakeplus.co.kr/pro

❤5

10 Nov 2026, 11:13 UTC≈3,340 views5 reactionsread 10 November 2026

2026년 3분기 실적발표 일정 - '결산실적예고' 공시를 바탕으로 작성되었습니다. (종목명/ 영업익 예상/ 전분기/ 전년동기) 2026-11-11 실리콘투 / 804억 / 830억 / 631억 바텍 / 130억 / 245억 / 124억 레이언스 / 34억 / 25억 / 10억 코스맥스 / 771억 / 737억 / 427억 JYP Ent. / 425억 / 310억 / 408억 이마트 / 1,591억 / -430억 / 1,515억 광동제약 / - / 28억 / 109억 위메이드플레이 / - / 26억 / 34억 코오롱인더 / 493억 / 987억 / 269억

❤5

10 Nov 2026, 08:51 UTC≈4,490 views3 reactionsread 10 November 2026

2026.11.10 17:51:02 기업명: 래블업(시가총액: 1,847억) A0147B0 보고서명: 주식등의대량보유상황보고서(약식) 대표보고 : 케이투인베스트먼트파트너스/대한민국 보유목적 : 단순투자 보고전 : -% 보고후 : 4.38% 보고사유 : 코스닥시장 상장에 따른 신규 보고 및 장내매도에 따른 보유지분 변동 * 케이투엑스페디오2호 투자조합 2026-11-03/신규상장(+)/보통주/ 569,963주/- 2026-11-03/장내매도(-)/보통주/ -87,685주/- * 케이투케이아이에스2022 세컨더리 투자조합 2026-11-03/신규상장(+)/보통주/ 184,890주/- 2026-11-03/장내매도(-)/보통주/ -28,400주/- 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=2…

❤3

10 Nov 2026, 08:50 UTC≈4,050 views5 reactionsread 10 November 2026

2026.11.10 17:50:07 기업명: 에코프로비엠(시가총액: 8조 8,124억) A247540 보고서명: 타법인주식및출자증권취득결정 취득회사 : PT ECOPRO BNSI INVESTMENT 주요사업 : 투자업 취득금액 : 6,271억 자본대비 : 24.8% - 취득 후 지분율 : 99.9% 예정일자 : 2027-06-30 취득목적 : PT BNSI 제련소 지분취득 및 주주대여금 확보 목적 * 취득방법 현금출자(유상증자) 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20261110900843 종목공시 : https://www.awakeplus.co.kr/disclosure/247540

❤4🔥1

10 Nov 2026, 08:47 UTC≈3,590 views2 reactionsread 10 November 2026

2026.11.10 17:46:59 기업명: 플리토(시가총액: 1,270억) A300080 보고서명: 기업설명회(IR)개최 개최일자 : 2026-11-18 개최시각 : 10:00 *IR 목적 당사 경영현황에 대한 투자자 이해 증진 및 사업내용 설명 *IR 내용 2026년 3분기 경영 실적 및 주요 사업 설명 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20261110900841 종목공시 : https://www.awakeplus.co.kr/disclosure/300080

❤2

10 Nov 2026, 08:36 UTC≈3,490 views1 reactionsread 10 November 2026

2026.11.10 17:36:13 기업명: 유진증권(시가총액: 3,361억) A001200 보고서명: 투자판단관련주요경영사항 제목 : 유진더블유사모투자합자회사 청산에 따른 잔여재산(현물)취득예정 * 주요내용 당사가 LP로 참여 중인 유진더블유사모투자합자회사(PEF)의 청산에 따른 잔여재산 분배로 동 법인이 보유 하고 있는 (주)우리금융지주 보통주식을 현물 분배받을 예정입니다. 1. 취득 대상: ㈜우리금융지주 보통주 2,968,152주 2. 취득 예정 금액: 91,846,495,488원 3. 당사 자기자본대비(%) : 8.11% (당사 자기자본 : 1,132,470,877,280원) 4. 취득예정일자: 2026년 12월 1일 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=2026111…

❤1

10 Nov 2026, 08:34 UTC≈3,040 views6 reactionsread 10 November 2026

2026.11.10 17:34:31 기업명: 크레버스(시가총액: 837억) A096240 보고서명: 분기보고서 (2026.09) 잠정실적 : N 매출액 : 569억(예상치 : 590억, -3.6%) 영업익 : 24억(예상치 : 29억, -18.4%) 순이익 : 2억(예상치 : -) **최근 실적 추이** (기간/ 매출/ 영업익/ 순익) 2026.3Q 569억/ 24억/ 2억 2026.2Q 555억/ 24억/ 29억 2026.1Q 584억/ 26억/ 16억 2025.4Q 500억/ -23억/ -57억 2025.3Q 559억/ 2억/ 86억 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20261110000446

😭3❤2🔥1

10 Nov 2026, 08:33 UTC≈2,700 views5 reactionsread 10 November 2026

2026.11.10 17:33:39 기업명: 세이브존I&C(시가총액: 868억) A067830 보고서명: 영업(잠정)실적(공정공시) 매출액 : 312억(예상치 : -) 영업익 : -18억(예상치 : -) 순이익 : -201억(예상치 : -) **최근 실적 추이** 2026.3Q 312억/ -18억/ -201억 2026.2Q 313억/ 27억/ 314억 2026.1Q 289억/ 13억/ 27억 2025.4Q 315억/ 12억/ 9억 2025.3Q 279억/ -7억/ 8억 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20261110800813 종목공시 : https://www.awakeplus.co.kr/disclosure/067830

😭3❤1🔥1

10 Nov 2026, 08:29 UTC≈2,640 views1 reactionsread 10 November 2026

2026.11.10 17:29:49 기업명: 아이진(시가총액: 775억) A185490 보고서명: 투자판단관련주요경영사항(임상시험계획변경승인신청) (4가 수막구균 접합백신‘EGMCV4의 국내 임상 제2/3상 임상시험계획 변경 승인 신청) * 임상명칭 : 건강한 성인을 대상으로 EG-MCV4수막구균(혈청형 A, C, W-135 및 Y 군) 접합백신의 면역원성 및 안전성 평가를 위한 다기관, 무작위배정, 이중 눈가림, 활성 대조, 제2/3상 임상시험 * 대상질환 : 수막구균(Neisseria meningitidis) A,C,W-135 및 Y군에 의한 침습성 수막구균 질환의 예방 * 임상단계 : 제2/3상 임상시험 Part 1 - 제2상 임상시험 Part 2 - 제3상 임상시험 * 승인기관 : 식품의약품안전처(MFDS) …

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Showing the 12 most recent of 2,181 posts we hold for @darthacking. 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

Republished by

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

Republished by 262 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,456
90 posts
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,759
75 posts
텐렙
@Ten_level · 16,994
51 posts
루팡
@bornlupin · 49,242
38 posts
조기주식회 공부방
@EarlyStock1 · 24,379
34 posts
타점 읽어주는 여자(타자)
@tazastock · 40,945
34 posts
BUY(!)BUY(!)바이오🤡DS 제약/바이오 김민정
@mnJeong_BIO · 8,009
32 posts
다올 의료기기/화장품 박종현
@alexppark · 8,596
30 posts
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,822
29 posts
호그니엘
@hogniel · 15,354
28 posts
소소스노-스터디
@sososnow0 · 2,403
27 posts
허혜민의 제약/바이오 소식통
@huhpharm · 24,265
25 posts
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,672
23 posts
[신한 리서치본부] 제약/바이오
@bio_shinhan · 21,328
23 posts
레드버드 기업분석
@redbirdstock · 10,747
23 posts
빠르고 정확한 주식정보방
@fastest_info1 · 13,620
21 posts
쩜상리서치
@upper_limit_price · 7,954
20 posts
인상주의 투자 인생 업그레이드노트
@insangnism · 11,236
19 posts
투자이야기
@investorinkorea · 286
19 posts
投資, 아레테
@mstaryun · 18,785
18 posts
🗽엄브렐라(Umbrella Research) 리서치+ 네프콘 옆집부자형 since 2020
@umbrellaresearch · 13,060
18 posts
미래에셋 제약/바이오 김승민
@bioksm · 14,992
17 posts
재야의 고수들
@gaoshoukorea · 41,200
16 posts
너쟁이의 성실한 추추생활
@nje2e · 8,956
16 posts
힙한 펭미업의 1인칭 시점
@pengmeup · 9,175
14 posts
순대렐라의 바이오 하우스
@BIOWORLDJD · 4,084
13 posts
현대차증권 IT[전기전자 김종배, 반도체 소부장 윤동욱]
@IThardwareDisplay · 1,268
13 posts
[한투증권 김명주] 유통/화장품/생활소비재
@kmj_retailcosmetics · 9,833
13 posts
샐러리맨의 주식투자
@valueinvestor11 · 3
13 posts
돼지바
@bbong_tta · 12,887
12 posts
BUYagra
@psychotherapy101 · 5,925
12 posts
한투 제약/바이오 위해주
@KIS_Healthcare · 8,685
10 posts
가치투자클럽
@corevalue · 67,126
10 posts
미미회관
@mimihall5 · 1,162
10 posts
파하의 아카이빙 노트
@paranhanl20 · 3,432
10 posts
용산의 현인
@petrojimmy · 7,003
10 posts
상장기업 수사대 ☎️
@cyber_rangers · 16,905
9 posts
#Beautylog
@ejpark3312 · 7,738
9 posts
FOMO 4가투
@fourgachi · 9,361
9 posts
[충간지의 글로벌 의료기기/디지털 헬스/로보틱스 연구소]
@globalmedtech · 12,054
9 posts
플렉서블 리서치
@ivy77788 · 5,902
9 posts
[메리츠 커뮤니케이션 정지수, 김민영]
@meritztelco · 3,653
9 posts
[미래에셋 에너지/정유화학] 이진호
@miraeoillee · 7,086
9 posts
실버만삭스의 루틴
@silvermansachs_routine · 7,885
9 posts
키움증권 신민수 의료기기 기록보관소
@sms_archive · 3,320
9 posts
캬오의 공부방
@Kyaooo · 17,481
8 posts
[미래에셋 배터리/디스플레이 김철중] 디배저
@cjdbj · 16,426
8 posts
교보 음식료/화장품 권우정
@kyobofnbcosmetic · 5,976
8 posts

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 10 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.

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.

FOMO 4가투
@fourgachi · 9,361
#1
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,874
#2
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,822
#3
돼지바
@bbong_tta · 12,887
#4
호그니엘
@hogniel · 15,354
#5
시장 이야기 by 제이슨
@bumgore · 35,370
#6
Buff
@bufkr · 21,585
#7
기술적 분석으로 보는 주식시장 (by 소라게아빠)
@hermitcrab41_1 · 21,453
#8
Stock Trip
@stocktrip · 7,238
#9
양파농장
@Onionfarmer · 16,148
#10
投資, 아레테
@mstaryun · 18,785
#11
서화백의 그림놀이 🚀
@easobi · 23,386
#12
Pluto Research
@hedgehara · 19,579
#13
타점 읽어주는 여자(타자)
@tazastock · 40,945
#14
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,672
#15
재야의 고수들
@gaoshoukorea · 41,200
#16
Macrotrader - 금융치료
@slsyphus · 4,443
#17
빠르고 정확한 주식정보방
@fastest_info1 · 13,620
#18
범송공자 X 29PER
@bumsong2 · 13,449
#19
지휘통제실
@Fire_Direction_Center · 5,293
#20
미국 제약-바이오 주식/약장수
@yakjangsu · 11,375
#21
지식 책꽂이 (이대호 기자)
@knowledge_to_wealth · 14,423
#22
돌다리🚦
@stbridgee · 4,645
#23
여의도스토리 Ver2.0-习近平是个狗东西
@YeouidoStory2 · 57,966
#24
TNBfolio
@TNBfolio · 25,170
#25
너쟁이의 성실한 추추생활
@nje2e · 8,956
#26
AWAKE - 마켓 브리핑
@awake_schedule · 17,427
#27
주식 다람이
@stockDaram2 · 5,018
#28
💯똥밭에 굴러도 주식판
@daegurr · 23,776
#29
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,456
#30
김찰저의 관심과 생각 저장소
@kimcharger · 25,264
#31
선진짱 주식공부방
@sunstudy1111 · 55,188
#32
가치투자클럽
@corevalue · 67,126
#33
텐렙
@Ten_level · 16,994
#34
야자반 - Y.Z. stock
@yaza_stock · 13,053
#35
한투증권 미국/중국전략 정정영
@G2strategy · 16,724
#36
에테르의 일본&미국 리서치
@aetherjapanresearch · 34,305 (as read 2 September 2026)
#37
TRENDSETTER GLOBAL
@TRENDSETTERVERSION2 · 3,883
#38
한양증권 제약/바이오 오병용
@bdragon0808 · 13,488
#39
올바른
@allbareun · 12,174
#40
투자의 빅 픽처를 위한 퍼즐 한 조각
@investment_puzzle · 14,298
#41
선수촌
@athletes_village · 22,138
#42
간절한 투자스터디카페
@desperatestudycafe · 18,510
#43
히스토리투자자문 채상욱
@aptvalueprice · 10,361
#44
도PB의 생존투자
@survival_DoPB · 22,062
#45
루팡
@bornlupin · 49,242
#46
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,759
#47
YM리서치
@ym_research · 39,840
#48
쩜상리서치
@upper_limit_price · 7,954
#49
MZ타뇽 긴축모드 ON
@mztanyong · 6,063
#50
주린이 개소리하는 채널
@Dogrini · 4,724
#51
인상주의 투자 인생 업그레이드노트
@insangnism · 11,236
#52
퀀텀 알고리즘
@quantum_ALGO · 7,605
#53
그로쓰리서치(Growth Research) [독립리서치]
@growthresearch · 40,090
#54
드리머의 잃지 않는 투자
@orangeboard · 4,574
#55
반붐온? 방붐온?
@cpshelter · 5,377
#56
석학들의 마켓 (인)사이트 PRO
@getfeed · 8,774
#57
BUYagra
@psychotherapy101 · 5,925
#58
Thesis
@thesis_true · 2,245
#59
실전매매전략 : 마켓타이밍
@stockgrandmaster · 11,057
#60
한국투자증권/기관영업부/이민근
@mk81_koreainvestment · 16,681
#61
게이머 강석오 [Gamer Seoko Kang]
@seokokang · 5,880
#62
[메리츠 Tech 김선우, 양승수, 김동관]
@merITz_tech · 24,795
#63
인포마켓 infomarket
@infomarketopen · 9,751
#64
글로벌바이오아저씨
@choaz1 · 6,957
#65
Financial Magazine
@hanagae · 4,599
#66
투자자문 와이즈리서치 경제공부방
@econostudy · 8,428
#67
YIELD & SPREAD
@yieldnspread · 22,089
#68
CTT Research
@CTTResearch · 6,853
#69
퍼가요~♡
@hwalja · 3,444
#70
테크밸리 Insight
@triple_stock · 13,408
#71
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 26,513
#72
[니커 게임/엔터]
@Nicker0122_1 · 4,024
#73
잠실개미&10X’s N.E.R.D.S
@jake8lee · 17,222
#74
캬오의 공부방
@Kyaooo · 17,481
#75
영리한 황소
@stockinvcowcow · 13,370
#76
주식독학
@selfstudystock · 3,624
#77
서초동 투자머신
@twomachine · 5,423
#78
알음다트
@infodart · 6,754
#79
다올 의료기기/화장품 박종현
@alexppark · 8,596
#80
하나 중국/신흥국 전략 김경환
@HANAchina · 35,273
#81
Nihil's view of data & information
@viewofdata · 13,457
#82
오를주식 - 뉴스/경제/주식
@GoUpstock · 21,089
#83
상장기업 수사대 ☎️
@cyber_rangers · 16,905
#84
습관이 부자를 만든다. 🧘
@habit4117 · 28,313
#85
피카츄 아저씨⚡️
@pikachu_aje · 24,923
#86
Rafiki research
@rafikiresearch · 20,654
#87
조기주식회 공부방
@EarlyStock1 · 24,379
#88
유해섹터 인겜미
@tteoksangMalangCow · 53 (as read 2 September 2026)
#89
레드버드 기업분석
@redbirdstock · 10,747
#90
디일렉(THEELEC)
@theelec · 10,812
#91

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.

여의도스토리 Ver2.0-习近平是个狗东西
@YeouidoStory2 · 57,966
Telegram ranks this channel #6 of 92 here — alongside 91 others — read 2 September 2026
시장 이야기 by 제이슨
@bumgore · 35,370
Telegram ranks this channel #9 of 89 here — alongside 88 others — read 2 September 2026
Buff
@bufkr · 21,585
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 21 September 2026
재야의 고수들
@gaoshoukorea · 41,200
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 2 September 2026
천지일보 독자알림창
@cheonjiilbo · 19,694
Telegram ranks this channel #11 of 65 here — alongside 64 others — read 30 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,822
Telegram ranks this channel #13 of 92 here — alongside 91 others — read 2 September 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠)
@hermitcrab41_1 · 21,453
Telegram ranks this channel #16 of 81 here — alongside 80 others — read 28 September 2026
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,874
Telegram ranks this channel #16 of 92 here — alongside 91 others — read 20 September 2026
TNBfolio
@TNBfolio · 25,170
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 15 September 2026
타점 읽어주는 여자(타자)
@tazastock · 40,945
Telegram ranks this channel #24 of 89 here — alongside 88 others — read 2 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널
@stock_messenger · 25,226
Telegram ranks this channel #27 of 90 here — alongside 89 others — read 14 September 2026
선진짱 주식공부방
@sunstudy1111 · 55,188
Telegram ranks this channel #27 of 89 here — alongside 88 others — read 2 September 2026
하나 중국/신흥국 전략 김경환
@HANAchina · 35,273
Telegram ranks this channel #28 of 92 here — alongside 91 others — read 2 September 2026
유진투자증권 코스닥벤처팀
@SmallCap · 22,994
Telegram ranks this channel #32 of 96 here — alongside 95 others — read 19 September 2026
신영증권 박소연
@sypark_strategy · 29,259
Telegram ranks this channel #39 of 91 here — alongside 90 others — read 8 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 41,019
Telegram ranks this channel #39 of 89 here — alongside 88 others — read 2 September 2026
간절한 투자스터디카페
@desperatestudycafe · 18,510
Telegram ranks this channel #40 of 83 here — alongside 82 others — read 5 October 2026
YM리서치
@ym_research · 39,840
Telegram ranks this channel #41 of 89 here — alongside 88 others — read 2 September 2026
HS아카데미 대표 이효석
@HS_academy · 36,220
Telegram ranks this channel #44 of 90 here — alongside 89 others — read 8 September 2026
피카츄 아저씨⚡️
@pikachu_aje · 24,923
Telegram ranks this channel #46 of 91 here — alongside 90 others — read 14 September 2026
[메리츠 Tech 김선우, 양승수, 김동관]
@merITz_tech · 24,795
Telegram ranks this channel #47 of 92 here — alongside 91 others — read 17 September 2026
이지스스트레티지 리서치
@jeilstock · 26,244
Telegram ranks this channel #47 of 93 here — alongside 92 others — read 12 September 2026
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,759
Telegram ranks this channel #47 of 89 here — alongside 88 others — read 7 September 2026
시황맨의 주식이야기
@shmstory · 39,582
Telegram ranks this channel #50 of 89 here — alongside 88 others — read 2 September 2026

This channel appears in 46 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“AWAKE - 실시간 주식 공시 정리채널” (@darthacking), 65,571 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/darthacking.

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.