Crypto & trading — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
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 word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies 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)
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. 8 of the 8 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 20 comparable posts for this entry, running 5 August 2026 to 7 August 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).
Across the whole group of 3, the earliest publisher we hold is @awake_globalwatch. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
32 measurements spanning 41 days, net -109. 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 16,063–16,225 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:41
16,082
-8
15 Sept 2026, 11:58
16,090
-13
13 Sept 2026, 20:35
16,103
-4
12 Sept 2026, 03:16
16,107
-16
9 Sept 2026, 20:15
16,123
-20
6 Sept 2026, 11:00
16,143
-8
4 Sept 2026, 01:37
16,151
-1
2 Sept 2026, 16:29
16,152
-9
31 Aug 2026, 19:26
16,161
-5
30 Aug 2026, 16:23
16,166
-9
29 Aug 2026, 16:44
16,175
+3
28 Aug 2026, 15:34
16,172
-5
27 Aug 2026, 12:18
16,177
-3
26 Aug 2026, 14:34
16,180
+5
25 Aug 2026, 16:55
16,175
-6
24 Aug 2026, 14:58
16,181
-6
23 Aug 2026, 00:43
16,187
+13
21 Aug 2026, 13:49
16,174
-3
20 Aug 2026, 14:51
16,177
-2
19 Aug 2026, 13:56
16,179
first reading
Engagement
182 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.98%
avg views ÷ 16,082 subscribers
Avg views / post
1,440
46 posts measured
Reaction rate
0.084%
reactions ÷ views · ER floor
Posts in window
46
of 182 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 26 of 46 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
182 (5 August 2026 – 3 September 2026)
Views total
66,459
Reactions total
35
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:03 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
128 reactions across 79 posts, in 3 distinct kinds. The most used accounts for 73.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
94
73.4%
👍
33
25.8%
😁
1
0.781%
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 85 of the 182 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 128 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 182 most recent posts we hold, published 5 August 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.
🇺🇸 CNH Industrial(+5.5%)
❗️ 52주 신고가 신규 돌파
Sector : Industrials
Industry : Agricultural - Machinery
종목코드 : CNH
시가총액 : 16.3B(24.0조 krw)
거래대금 : 92mil(1363억 krw)
시총순위 : 605 → 590위(15계단🔺)
[기업개요]
- 농업 및 건설 장비 제조업체
- 북미와 유럽 시장에서 강력한 매출 기반
- 주요 성장동력은 지속 가능한 농업 기술 혁신
🇺🇸 Phillips 66(+1.4%)
❗️ 역사적 신고가 돌파 이어감
Sector : Energy
Industry : Oil & Gas Refining & Marketing
종목코드 : PSX
시가총액 : 102.4B(152.0조 krw)
거래대금 : 131mil(1941억 krw)
시총순위 : 137 → 133위(4계단🔺)
[기업개요]
- 정유 및 에너지 분야에서 강력한 입지를 가진 업체
- 석유 정제, 마케팅, 화학 제품 등 다양한 사업 포트폴리오 보유
- 주요 성장동력은 정유 및 화학 부문에서의 지속적인 혁신과 확장
🇺🇸 Valero Energy(+0.8%)
❗️ 역사적 신고가 돌파 이어감
Sector : Energy
Industry : Oil & Gas Refining & Marketing
종목코드 : VLO
시가총액 : 105.1B(155.0조 krw)
거래대금 : 195mil(2892억 krw)
[기업개요]
- 정유 및 석유화학 제품 제조업체
- 북미 및 국제 시장에서의 강력한 유통 네트워크 기반
- 주요 성장동력은 지속 가능한 에너지 전환 및 정제 역량 강화
🇺🇸 Marathon Petroleum(+0.9%)
❗️ 역사적 신고가 돌파 이어감
Sector : Energy
Industry : Oil & Gas Refining & Marketing
종목코드 : MPC
시가총액 : 112.8B(167.0조 krw)
거래대금 : 145mil(2142억 krw)
시총순위 : 120 → 119위(1계단🔺)
[기업개요]
- 정유 및 석유화학 제품을 생산하는 에너지 업체
- 원유 정제 및 유통을 통해 안정적인 매출 기반 확보
- 주요 성장동력은 정제 마진 개선 및 석유화학 사업 확장
🇺🇸 Pfizer(+1.0%)
❗️ 52주 신고가 돌파 이어감
Sector : Healthcare
Industry : Drug Manufacturers - General
종목코드 : PFE
시가총액 : 164.3B(243.0조 krw)
거래대금 : 277mil(4100억 krw)
[기업개요]
- 글로벌 제약 및 바이오테크놀로지 업체로, 백신과 혁신 의약품 개발에 주력
- 최근 mRNA 기술을 활용한 백신 개발로 시장 점유율 확대
- 주요 성장동력은 신약 개발과 글로벌 시장 확장
🇺🇸 Deere & Company(+1.5%)
❗️ 역사적 신고가 돌파 이어감
Sector : Industrials
Industry : Agricultural - Machinery
종목코드 : DE
시가총액 : 185.2B(274.0조 krw)
거래대금 : 175mil(2591억 krw)
시총순위 : 73 → 71위(2계단🔺)
[기업개요]
- 농업 및 건설 장비 제조업체
- 매출의 주요 원천은 농업 기계와 건설 장비
- 농업 기술 혁신과 지속 가능한 솔루션이 주요 성장동력
🇺🇸 Amgen(+0.3%)
❗️ 역사적 신고가 다시 돌파
Sector : Healthcare
Industry : Drug Manufacturers - General
종목코드 : AMGN
시가총액 : 237.2B(351.0조 krw)
거래대금 : 167mil(2475억 krw)
시총순위 : 49 → 48위(1계단🔺)
[기업개요]
- 생명공학 분야에서 혁신적인 바이오의약품 개발 및 상업화에 주력하는 업체
- 면역학, 종양학, 심혈관계 질환 등 다양한 치료 영역에서 강력한 제품 포트폴리오 보유
- 주요 성장동력은 신약 개발과 글로벌 시장 확장 전략
🇺🇸 Johnson & Johnson(+1.6%)
❗️ 역사적 신고가 다시 돌파
Sector : Healthcare
Industry : Drug Manufacturers - General
종목코드 : JNJ
시가총액 : 664.3B(983.0조 krw)
거래대금 : 0.6B(1.0조 krw)
[기업개요]
- 헬스케어 및 소비재 분야에서 글로벌 리더로 자리매김한 업체
- 제약, 의료기기, 소비자 건강 제품을 주요 사업으로 하는 다각화된 포트폴리오 보유
- 주요 매출원은 제약 부문이며, 혁신적인 신약 개발이 성장동력
🇺🇸 Canadian Natural Resources(+3.0%)
❗️ 역사적 신고가 다시 돌파
Sector : Energy
Industry : Oil & Gas Exploration & Production
종목코드 : CNQ
시가총액 : 107.5B(159.0조 krw)
거래대금 : 132mil(1952억 krw)
시총순위 : 130 → 126위(4계단🔺)
[기업개요]
- 북미 최대 석유 및 천연가스 생산업체
- 주력 시장은 캐나다와 미국, 주요 제품은 원유와 천연가스
- 주요 성장동력은 지속적인 자원 개발과 생산 확대
🇺🇸 Valero Energy(-0.4%)
❗️ 역사적 신고가 돌파 이어감
Sector : Energy
Industry : Oil & Gas Refining & Marketing
종목코드 : VLO
시가총액 : 102.9B(152.0조 krw)
거래대금 : 147mil(2181억 krw)
[기업개요]
- 정유 및 석유화학 제품 제조업체
- 북미 및 국제 시장에서의 강력한 유통 네트워크 기반
- 주요 성장동력은 지속 가능한 에너지 전환 및 정제 역량 강화
🇺🇸 Marathon Petroleum(+0.1%)
❗️ 역사적 신고가 돌파 이어감
Sector : Energy
Industry : Oil & Gas Refining & Marketing
종목코드 : MPC
시가총액 : 109.1B(161.0조 krw)
거래대금 : 155mil(2293억 krw)
[기업개요]
- 정유 및 석유화학 제품을 생산하는 에너지 업체
- 원유 정제 및 유통을 통해 안정적인 매출 기반 확보
- 주요 성장동력은 정제 마진 개선 및 석유화학 사업 확장
Showing the 12 most recent of 182 posts we hold for @mkglobalinvest. 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.
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“매경 월가월부” (@mkglobalinvest), 16,082 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mkglobalinvest.
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.