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Channel

[DAOL퀀트 김경훈] 탑다운 전략

@toptownquant

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

16,165subscribers

+410 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001108342152
TypeChannel
Username@toptownquant
Created9 April 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live27 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/toptownquant

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

15,71616,17015,9436 August 2026 — 15,755 subscribers7 August 2026 — 15,753 subscribers8 August 2026 — 15,757 subscribers9 August 2026 — 15,762 subscribers10 August 2026 — 15,751 subscribers11 August 2026 — 15,741 subscribers12 August 2026 — 15,725 subscribers13 August 2026 — 15,724 subscribers14 August 2026 — 15,716 subscribers16 August 2026 — 15,799 subscribers17 August 2026 — 15,802 subscribers18 August 2026 — 15,801 subscribers19 August 2026 — 15,792 subscribers20 August 2026 — 15,849 subscribers21 August 2026 — 15,861 subscribers23 August 2026 — 15,865 subscribers24 August 2026 — 15,874 subscribers25 August 2026 — 15,870 subscribers27 August 2026 — 15,862 subscribers28 August 2026 — 15,858 subscribers29 August 2026 — 15,855 subscribers30 August 2026 — 15,852 subscribers31 August 2026 — 15,850 subscribers1 September 2026 — 15,852 subscribers2 September 2026 — 15,847 subscribers4 September 2026 — 15,844 subscribers6 September 2026 — 15,852 subscribers9 September 2026 — 15,845 subscribers12 September 2026 — 16,089 subscribers13 September 2026 — 16,166 subscribers15 September 2026 — 16,167 subscribers17 September 2026 — 16,170 subscribers27 September 2026 — 16,165 subscribers16,1656 August 202627 September 2026
33 measurements spanning 52 days, net +410. 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 15,648–16,238 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
27 Sept 2026, 16:0116,165-5
17 Sept 2026, 15:3916,170+3
15 Sept 2026, 13:2016,167+1
13 Sept 2026, 21:3916,166+77
12 Sept 2026, 03:1616,089+244
9 Sept 2026, 17:0115,845-7
6 Sept 2026, 12:1415,852+8
4 Sept 2026, 01:5515,844-3
2 Sept 2026, 16:2415,847-5
1 Sept 2026, 15:5315,852+2
31 Aug 2026, 17:4215,850-2
30 Aug 2026, 17:4315,852-3
29 Aug 2026, 21:1415,855-3
28 Aug 2026, 20:2815,858-4
27 Aug 2026, 18:5815,862-8
25 Aug 2026, 20:1815,870-4
24 Aug 2026, 17:3815,874+9
23 Aug 2026, 02:5715,865+4
21 Aug 2026, 16:3515,861+12
20 Aug 2026, 17:4315,849first reading

Engagement

89 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 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.7%
avg views ÷ 16,165 subscribers
Avg views / post
2,870
9 posts measured
Reaction rate
0.566%
reactions ÷ views · ER floor
Posts in window
9
of 89 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 3 September 2026
Posts held89 (31 July 2026 – 3 September 2026)
Views total25,790
Reactions total146
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:17 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

Video runtime
1m 47s
Average length
1m 47s

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

1,641 reactions across 88 posts, in 9 distinct kinds. The most used accounts for 43.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤70843.1%
👍28517.4%
😭21813.3%
😁21212.9%
💯724.39%
🔥553.35%
👏462.80%
👌271.65%
🫡181.10%

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 88 of the 89 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 1,641 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 89 most recent posts we hold, published 31 July 2026 to 3 September 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

3 Sept 2026, 07:18 UTC≈1,630 views21 reactionsread 3 September 2026
Photo

# 소름돋는 차트 한장 😱 작년 9월 1일 이후 줄곧 1위 자리(주도주)를 지켜오던 "반도체"가 이번달 딱 1년만에 자격박탈, 단순 순환매 업종으로 전락 🏃🏃‍♂🏃‍♀ 통상 반대로 움직여야 하는 주가 모멘텀과 밸류에이션 매력도가 동시 꼴찌... 🙈

❤11😭9😁1

Signed 경훈 김

2 Sept 2026, 13:42 UTC≈2,850 views14 reactionsread 3 September 2026
Photo

└└└ 한달만에 전고점 164엔에 근접하니 또 개입했나보군 🤣 요즘은 뭐든지 티나게 하는 게 글로벌 트랜드 😜

😁10👍2🔥2

Signed 경훈 김

2 Sept 2026, 11:37 UTC≈2,850 views10 reactionsread 3 September 2026

[DAOL퀀트 김경훈] Active Quant의 定石 - 9/3 "실적 가뭄" 3Q26분기 2번째 업데이트 (9.3 ~ 9.18) ▪︎ 시총 TOP3 실적 현황 * 삼성전자: 3Q26 OP 116조원 vs 컨센 115조원으로 컨센과의 괴리 +1.3%, 2주 전 퀀트 추정치 대비 +0.4% 조정, 밸류에이션은 Undervalued이나 Long 포지션 아님 * SK하이닉스: 3Q26 OP 79조원 vs 컨센 79조원으로 컨센과의 괴리 +0.2%, 2주 전 퀀트 추정치 대비 -1.0% 조정, 밸류에이션은 Undervalued이나 Long 포지션 아님 * 삼성전기: 3Q26 OP 6.275억원 vs 컨센 5,960억원으로 컨센과의 괴리 +5.3%, 2주 전 퀀트 추정치 대비 +6.4% 조정, 밸류에이션은 Overvalued이나 Short 포지션…

❤7👍1👏1😁1

Signed 경훈 김

2 Sept 2026, 11:37 UTC≈2,290 views5 reactionsread 3 September 2026
Photo

Photo, posted without a caption

❤3💯1😁1

Signed 경훈 김

2 Sept 2026, 00:58 UTC≈2,370 views17 reactionsread 3 September 2026
Photo

# 9월 세미나 자료 제목 💋 "10월이 더 무서운데 9월부터 이러면..." • 8월: “8월은 반등의 달!” (월간 수익률 KS +3.4% / KQ +16%) • 7월: “1년 만에 장 색깔 바뀌나?” (KS -22% / KQ -21%) • 6월: “3월 이후 6월 쉬어가나?” (KS 0% / KQ -15%) • 5월: “SELL IN MAY가 뭐에요?” (KS +28% / KQ -10%) 👉 이거 (https://naver.me/GqfcuNM1) 잊지 않으셨길 바랍니다... 🙈

😭13🔥2👏1😁1

Signed 경훈 김

1 Sept 2026, 13:36 UTC≈2,990 views18 reactionsread 3 September 2026
Photo

# 국내 센티, 위냐 아래냐 그것이 문제로다 🫵 지난 6월 이번 사이클 최저점 도달 이후 Fear 국면에서 3개월 째 방향 못잡고 있는 국내증시 각 국면 진입 후 KOSPI 평균 수익률 (1M / 3M / 6M / 12M) • Extreme Greed 2.2% / 8.6% / 39.3% / 51.1% • Greed 2.2% / 3.6% / 11.9% / 16.7% • Norm 0% / 4.8% / 5.4% / 15.6% • Fear -0.3% / -1.4% / -5.7% / +4.6% • Extreme Fear -1.7% / -3.4% / -8.6% / -9.2%

❤9😭6😁2🔥1

Signed 경훈 김

1 Sept 2026, 01:42 UTC≈3,370 views14 reactionsread 3 September 2026
Photo

[DAOL퀀트 김경훈] 9월 국내증시 스타일 전략 "1달만에 다시 힘빠진 장" ▪︎ 9월은 일단 관망세 * 이번달 매크로 변수 전반적인 변화는 크게 부재한 가운데, 미국 증시의 센티먼트를 대변하는 1의 역수로 보는 PUT/CALL RATIO가 한달만에 재차 둔화 * 이에 따라 직전 8월 소폭의 반등을 경험한 우리 증시는 이번 9월을 거치며 큰 변동성 없이 횡보장 관망세가 이어질 개연성 ▪︎ 유망업종 선택의 폭이 좁아진 9월 * 최근 2~3개월간 국내증시의 큰 조정으로 업종 전반적으로 Equity Duration이 크게 축소 (i.e. 이익 증가보단 주가 하락에 기인) * 이번달 탑다운 시그널인 "성장주"에 부합하는 유망업종에는 화장품, 상사/자본재 등 2개만이 멀티팩터 평가와의 교집합 <보고서 원본 ☞ https://buly.kr/Be…

👍11🔥1😁1😭1

Signed 경훈 김

1 Sept 2026, 00:45 UTC≈3,090 views13 reactionsread 3 September 2026
Photo

[DAOL퀀트 김경훈] 9월 국내증시 리스크 시그널 "우려가 현실로, 경기확장 모멘텀의 감속" ▪︎ 선행경기지표가 올해들어 처음으로 반락하며, 경기확장에 대한 RISK-ON 강도 또한 올해들어 가장 약해진 상황. 이는 그간 우려해 온 후행이 못 따라오는 가운데 선행만 급등하는 즉, 기대감이 실제 실물경기로 전이 되어오지 못한 뚜렷한 "K자 형태"의 디커플링에 주로 기인 (e.g. 선행의 금융시장/심리/설비투자 관련 지표는 여전히 강한 반면, 후행의 전산업생산/서비스업생산/소매판매 등은 부진) ▪︎ 이번달 경기확장 모멘텀의 둔화가 일시적일지 혹은 추세가 될 것이지는 향후 2~3개월의 데이터가 중요. 특히, 전세계적인 스테그플레이션 장기화 속 글로벌 긴축공조 마저 재개되면서 향후 점진적인 경기 사이클의 피크아웃에 대한 무게가 커지는 상황 …

❤8😁2😭2🔥1

Signed 경훈 김

29 Aug 2026, 00:11 UTC≈4,350 views34 reactionsread 3 September 2026

└└ 워쉬 잭슨홀 리뷰 - "결국 이중책무의 무게중심 변화" 🏃‍♀‍➡️🏃‍➡️🏃‍♂‍➡️ 뭐, 당연한 얘기겠습니다. 트럼프 행정부가 만들어 놓은 이 난리통 속에서 독립적인(?) 기관인 Fed의 통화정책에도 뚜렷한 변곡점이 찾아왔습니다. 전일 워쉬 연설의 핵심은 결국 이 한 문장이었습니다. "The Fed's predominant focus right now should be on prices." 그간 말을 아껴왔던 워쉬가 중간선거를 앞두고 톤다운을 이어갈 것이라는 예상과는 달리, 가장 우려했던 Fed 이중책무의 무게중심 이동을 불과 1년 만에 다시 수면 위로 끌어올린 것입니다. 불과 지난해 잭슨홀에서 파월은 고용의 하방위험이 높아지고 있음을 강조하며 정책의 무게중심을 경기와 고용 쪽으로 옮겼습니다. 반면, 이번 워쉬는 노동시장이 …

❤19👍12😁2🔥1

Signed 경훈 김

28 Aug 2026, 14:28 UTC≈3,320 views24 reactionsread 3 September 2026

└ 워시는 진실의 방으로! 🙈 11:24 pm 현재까지 예상치 못한, 다 보여주는 슈퍼 매파 🙈🙈 물가 언급이 너무 많네요... 🙈🙈🙈 자세한 내용은 내일 아침 팔로우업 드리겠습니다. 🫡

😭13🔥4❤3👍2🫡1😁1

Signed 경훈 김

28 Aug 2026, 12:54 UTC≈3,380 views16 reactionsread 3 September 2026

그냥 이럴거면 "Planet America"로 행정명령 싸인해, 하나하나 귀찮잖아 🤣 이런 사이비 집단에 둘러싸여 좀 이따 연설해야 할 "Planet FED" 의장 워시 😇 https://youtu.be/19ZXprlEz3c?si=akjwbWcRAN0r27kl

❤9😭4😁2🔥1

Signed 경훈 김

28 Aug 2026, 01:48 UTC≈3,370 views11 reactionsread 3 September 2026

# 관세 업데이트: "임박한 반도체 관세?" - 8월 28일 ■ 폴리티코, 트럼프 행정부가 반도체에 대한 새로운 전면적 관세 부과를 검토하고 있으며, 관세 대상 기술 제품의 범위도 대폭 확대하는 방안을 논의 중이라 보도 * 폴리티코, 반도체 칩뿐 아니라 노트북·게임콘솔·데이터센터 서버 등 반도체가 탑재되는 다양한 완제품까지 잠재적인 관세 대상에 포함될 수 있다 설명 * 폴리티코, 국가별로 차등화된 관세율과 할당량을 설정하고 각국 주요 반도체 제조업체에 적용할 별도 지침을 마련하는 방안과 함께, 신규 관세를 단계적으로 도입하는 유예기간을 두는 방안도 검토 중이라 보도 * 폴리티코, 러트닉 상무장관은 외국 기업에 대한 관세 면제 혜택을 미국 내 반도체 제조 투자와 연계하는 방식을 선호하고 있으며, 이를 통해 미국 내 반도체 생산 확대…

❤7👍2🔥1😁1

Signed Chang Yong Yang

Showing the 12 most recent of 89 posts we hold for @toptownquant. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 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.

신영증권 박소연
@sypark_strategy · 29,465
Telegram ranks this channel #14 of 91 here — alongside 90 others — read 8 September 2026
YIELD & SPREAD
@yieldnspread · 22,018
Telegram ranks this channel #18 of 89 here — alongside 88 others — read 21 September 2026
HS아카데미 대표 이효석
@HS_academy · 36,164
Telegram ranks this channel #25 of 90 here — alongside 89 others — read 8 September 2026
하나 중국/신흥국 전략 김경환
@HANAchina · 35,301
Telegram ranks this channel #82 of 92 here — alongside 91 others — read 2 September 2026
시장 이야기 by 제이슨
@bumgore · 35,352
Telegram ranks this channel #89 of 89 here — alongside 88 others — read 2 September 2026
키움증권 미국주식 톡톡
@kwusa · 36,480
Telegram ranks this channel #90 of 92 here — alongside 91 others — read 2 September 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 27 September 2026 — this entry's latest reading, not the date you are reading this.

“[DAOL퀀트 김경훈] 탑다운 전략” (@toptownquant), 16,165 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/toptownquant.

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.