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 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 1 other registered channel. 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 (2 of the pairs behind the counts below)
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
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 102 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).
Recorded under the key 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.
Growth
60 measurements spanning 97 days, net +377. 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 60
Measured (UTC)
Subscribers
Change
11 Nov 2026, 09:20
16,132
-4
9 Nov 2026, 13:49
16,136
+21
8 Nov 2026, 02:09
16,115
+3
6 Nov 2026, 21:26
16,112
-5
5 Nov 2026, 22:35
16,117
-12
5 Nov 2026, 00:34
16,129
+2
3 Nov 2026, 21:56
16,127
+75
2 Nov 2026, 22:36
16,052
-4
2 Nov 2026, 01:58
16,056
-3
1 Nov 2026, 05:20
16,059
+2
31 Oct 2026, 04:56
16,057
-2
30 Oct 2026, 03:29
16,059
-5
29 Oct 2026, 00:11
16,064
-3
27 Oct 2026, 22:57
16,067
-8
26 Oct 2026, 23:54
16,075
-7
26 Oct 2026, 01:37
16,082
-5
25 Oct 2026, 01:36
16,087
-7
24 Oct 2026, 04:26
16,094
-8
22 Oct 2026, 08:39
16,102
-8
20 Oct 2026, 23:31
16,110
first reading
Engagement
155 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.6%
avg views ÷ 16,132 subscribers
Avg views / post
3,800
65 posts measured
Reaction rate
0.492%
reactions ÷ views · ER floor
Posts in window
66
of 155 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
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
155 (31 July 2026 – 11 November 2026)
Views total
247,210
Reactions total
1,216
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:25 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
3m 42s
Average length
56s
Measured directly from 4 videos 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
2,857 reactions across 153 posts, in 9 distinct kinds. The most used accounts for 34.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
995
34.8%
😭
630
22.1%
😁
433
15.2%
👍
357
12.5%
🔥
139
4.87%
💯
121
4.24%
🫡
83
2.91%
👏
72
2.52%
👌
27
0.945%
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 153 of the 155 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 2,857 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 155 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: 8 of 66 posts held from the last 30 days (12.1%) 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).
# 11월 11일 TRUMP DAILY - "평화보다 압박"
■ 중국, 10개월 만에 무역흑자 1조달러 돌파…트럼프·시진핑 정상회담 앞두고 통상 압박 변수 부상
* 중국 해관총서가 10일 발표한 무역통계에 따르면 올해 1~10월 누적 무역흑자는 1조400억달러를 기록. 2년 연속 연간 누적 흑자 1조달러를 돌파했으며, 지난해보다 한 달 빠르게 해당 수준에 도달. 10월 수출은 전년동월대비 35.2% 증가해 시장 예상치(+33.5%)를 상회했고, 수입 역시 41.6% 증가하며 예상치(+32%)를 상회
* 인공지능(AI) 인프라 투자 확대가 중국의 수출 증가를 견인. 올해 1~10월 반도체 수출은 전년동기대비 111.1%, 첨단기술 제품 수출은 47.9% 증가. 10월 대미 수출도 전년동월대비 32.9% 늘어나며 관세 갈등에도 미국 시장으로…
# 10월 미국 CPI - "Headline 5.7%, Core 3.7%" 🫠
▪︎ 지난해 정부 셧다운 여파로 YoY 비교치는 부재한 가운데, 10월 Headline +0.4% MoM, Core +0.3% MoM으로 각각 컨센서스를 0.1%p씩 상회
▪︎ 에너지 가격 상승세는 크게 둔화됐지만, 식품 및 근원서비스 물가가 재차 가속되면서 기조적인 인플레이션 압력은 여전히 견고
▪︎ 최근 3개월 물가상승률을 연율화하면 Headline 5.7%, Core 3.7%에 해당. 이는 연준의 2% 물가 목표와 비교하면 여전히 부담스러운 물가 상승 속도
👉 지난달 "이중책무 무용론"에서 10월 재차 확인된 강한 고용 + 연이은 고물가 = 12월 빅스텝 인상? 🫠
# 멋있어! 할꺼면 이렇게 하는게 정책이지!! - "보고있나 BOJ?" 🇯🇵🐒
▪︎ 월러 이사가 단순히 50bp 인상 가능성만을 언급한 것이 아님
▪︎ 물가가 개선되더라도 25bp 인상
▪︎ 근원 CPI가 전월 대비 0.3% 이상이면 50bp 인상 검토. 25bp 인상에 그칠 경우 연준의 신뢰성이 훼손될 수 있다고 경고
👉 25부터 26년 초까지 비둘기파 인사가 경기 상황에 맞게 완급 조절하는 모습 👏
# 11월 10일 TRUMP DAILY - "중국의 관세 유예 연장"
■ 중국, 미국산 제품 24% 추가관세 유예 2개월 연장…희토류·해운 제재도 중단
* 중국 국무원 관세세칙위원회, 9일 미국산 수입품에 대한 24%포인트 추가관세 부과 유예를 2개월 연장한다고 발표. 당초 10일 만료 예정이던 조치를 연장해 중국시간 10일 오후 1시 1분부터 적용하며, 기존 10% 관세는 유지. 중국은 이번 조치가 지난 9월 트럼프 대통령과 시진핑 국가주석의 워싱턴 정상회담에서 도출된 합의사항을 이행하기 위한 것이라고 설명
* 중국 상무부는 일부 핵심광물 및 관련 기술의 수출통제 면제 조치를 2027년 1월 10일까지 연장한다고 발표. 미국 기업 11곳에 대한 신뢰할 수 없는 기업 명단 관련 조치와 16곳에 대한 수출통제 조치도 같은 날짜까지 유예. …
[DAOL퀀트 김경훈] Active Quant의 定石 - 11/9
"진정되지 않는 숏 밭"
3Q26분기 7번째 업데이트 (11.9 ~ 11.13)
■ 시총 TOP3 실적 현황
* 삼성전자: 4Q26 125조원 vs 컨센 129조원으로 시장 컨센서스를 여전히 밑도는 수준
* SK하이닉스: 4Q26 110조원 vs 컨센 103조원으로 시장 컨센서스는 웃돌지만, FY27 연간 추정치가 꺽이며 No Position
* 삼성전기: 분기 및 연간 실적 모두 지속적인 우상향 추세이나, 시장 컨센서스가 이를 모두 따라잡으며 이미 주가 및 추정치 전반에 기반영된 상황
■ 다수 숏 포지션 특징
* 경기소비재 7개로 가장 많으며 특히 자동차 전 밸류체인에 여전히 집중
* 16개 숏 포지션 전 종목의 퀀트 영업이익 추정치가 시장 컨센서스를 하회. 괴리가 가…
# 11월 9일 TRUMP DAILY - "대화와 압박의 이중주"
■ 미, 중국에 부산 무역합의 이행 촉구…희토류·농산물 구매 압박 강화
* 스콧 베선트 미 재무장관과 제이미슨 그리어 무역대표부(USTR) 대표, 6일(현지시간) 허리펑 중국 국무원 부총리와 화상회의를 진행하고 지난해 10월 부산에서 체결한 미·중 무역합의의 이행을 촉구. 그리어 대표는 중국이 미국산 농산물 구매와 희토류·핵심광물 공급에 관한 기존 약속을 완전히 이행하기 위한 구체적인 조치를 취해야 한다고 강조
* 미 행정부는 중국의 희토류 및 핵심광물 공급이 기존 합의에 미치지 못하고 있다고 판단하고 있으며, 미국산 농산물 구매 확대도 요구하는 상황. Reuters에 따르면 기존 합의에는 향후 3년간 미국산 대두 2,500만톤 구매와 기타 농산물 구매액 170억달러 확대…
❤2🔥1
Signed 안정욱
Showing the 12 most recent of 155 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.
Posts edited after publishing
@toptownquant edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
3 November 2026
Most recent edit
3 November 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 · 29,259 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 8 September 2026
YIELD & SPREAD @yieldnspread · 22,089 Telegram ranks this channel #18 of 89 here — alongside 88 others — read 21 September 2026
HS아카데미 대표 이효석 @HS_academy · 36,220 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 8 September 2026
[하나증권 ETF] 박승진 @globaletfi · 20,575 Telegram ranks this channel #69 of 86 here — alongside 85 others — read 28 September 2026
하나 중국/신흥국 전략 김경환 @HANAchina · 35,273 Telegram ranks this channel #82 of 92 here — alongside 91 others — read 2 September 2026
시장 이야기 by 제이슨 @bumgore · 35,370 Telegram ranks this channel #89 of 89 here — alongside 88 others — read 2 September 2026
키움증권 미국주식 톡톡 @kwusa · 36,213 Telegram ranks this channel #90 of 92 here — alongside 91 others — read 2 September 2026
This channel appears in 7 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“[DAOL퀀트 김경훈] 탑다운 전략” (@toptownquant), 16,132 subscribers as measured 11 November 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.
![Telegram profile photo for [DAOL퀀트 김경훈] 탑다운 전략](https://cdn.tgregister.com/av/21/21d321b4012f8b13d3e98ccb7c140a592c16dfcb6c999f44215cf2e68f4ab586.jpg)