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 57% 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. 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)
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. 1 of the 1 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 32 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 2, the earliest publisher we hold is @macro_OK. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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 1 other registered channel, 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.
34 measurements spanning 43 days, net -111. 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 17,360–17,514 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:39
17,378
-16
16 Sept 2026, 02:37
17,394
+6
14 Sept 2026, 07:36
17,388
-10
12 Sept 2026, 13:00
17,398
-6
10 Sept 2026, 12:16
17,404
-2
7 Sept 2026, 04:15
17,406
-6
4 Sept 2026, 11:37
17,412
-5
3 Sept 2026, 02:23
17,417
+2
1 Sept 2026, 21:44
17,415
-12
1 Sept 2026, 00:37
17,427
-5
30 Aug 2026, 23:35
17,432
-8
29 Aug 2026, 22:07
17,440
-1
28 Aug 2026, 23:38
17,441
-4
28 Aug 2026, 00:17
17,445
+2
27 Aug 2026, 02:54
17,443
-7
26 Aug 2026, 02:32
17,450
-5
24 Aug 2026, 23:28
17,455
-2
23 Aug 2026, 08:18
17,457
-6
21 Aug 2026, 17:47
17,463
-5
20 Aug 2026, 16:45
17,468
first reading
Engagement
562 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.69%
avg views ÷ 17,378 subscribers
Avg views / post
1,340
233 posts measured
Reaction rate
0.327%
reactions ÷ views · ER floor
Posts in window
233
of 562 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 155 of 233 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
562 (5 August 2026 – 3 September 2026)
Views total
311,240
Reactions total
672
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:18 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
49s
Average length
25s
Measured directly from 2 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
1,770 reactions across 339 posts, in 33 distinct kinds. The most used accounts for 71.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,263
71.4%
👍
118
6.67%
🤔
49
2.77%
❤🔥
44
2.49%
🙏
43
2.43%
👏
30
1.69%
✍
29
1.64%
🔥
19
1.07%
🥱
17
0.96%
👀
15
0.847%
🤣
13
0.734%
😁
12
0.678%
😨
12
0.678%
💯
11
0.621%
🤯
11
0.621%
😇
9
0.508%
🎃
8
0.452%
🍾
7
0.395%
😭
7
0.395%
🙈
7
0.395%
13 further kinds
46
2.60%
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 365 of the 562 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 1,808 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 562 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.
ASML 협력사, 中EUV 장비 개발 15년 전망에 "합리적 추정"
https://n.news.naver.com/mnews/article/277/0005811580
1.ASML에 광학장비를 독점 공급하는 자이스의 반도체 부문 CEO는 중국의 EUV 자체 개발에 15년가량 걸릴 것이란 전망을 "합리적인 가정"이라고 평가했다.
2.자이스는 자사 부품이 전 세계 반도체의 약 80% 생산에 사용된다고 밝혔으며, 수출통제 확대에 대해서는 오히려 중국의 혁신을 가속한다고 지적했다.
3.UBS는 중국의 EUV 확보에 최소 10년 이상이 걸리고 기술 수준은 ASML의 EUV 양산 약 15년 전 단계라면서도, 2~5년 내 액침식 DUV 대량생산 역량은 확보할 것으로 봤다.
https://t.me/davidstocknew 주식소리통
[데이터센터 건설지출은 증가. 민간건설은 둔화]
미국 민간 건설투자는 데이터센터만 2023년 말 대비 약 509억 달러 증가한 반면, 나머지 민간 건설은 약 1,203억 달러 감소함.
데이터센터 반대론자들은 이를 전력·용수·세제 혜택이 특정 산업에 집중되는 가운데, 지역 고용과 경제 전반의 파급효과는 충분한지 따져봐야 한다는 근거로 활용하는데...
데이터센터가 다른 건설투자를 밀어냈다고 단정할 수는 없음.
근데 분명한 건, 민간건설 둔화 중이라는 점...
https://t.me/macro_OK 숏박스
1.5조 계약 수주에 한화오션 7% 급등…조선주 '강세' [코주부]
https://n.news.naver.com/mnews/article/011/0004658255
1.한화오션이 대만 양밍해운으로부터 1만 3650TEU급 LNG 이중연료 컨테이너선 6척을 총 1조 5527억원에 수주했다.
2.지난 1일 초대형 가스운반선 3척을 4778억원에 수주한 데 이어 이틀 만에 총 2조원대 계약을 확보했다.
3.3일 오후 1시 46분 기준 한화오션은 7.20% 오른 8만 7900원, 삼성중공업은 9.33% 상승한 2만 1800원에 거래됐다.
https://t.me/davidstocknew 주식소리통
5%가 마지노선…美 국채10년물 더 오르면 AI마저 꺾인다
https://n.news.naver.com/article/277/0005811347
1.전날 3.99% 급락했던 코스피는 3일 오전 10시 1분 기준 1.19% 오른 6640.74에 거래되며 반등했고, 코스닥은 0.28% 내린 801.75를 기록했다.
2.증시 급락을 촉발한 미 10년물 국채금리는 간밤 4.82%까지 올라 2023년 11월 이후 최고치를 찍은 뒤 4.78% 수준으로 내려왔다.
3.KB증권은 10년물 금리가 5%를 추세적으로 돌파하면 위험하다고 경고했고, 하나증권은 2023년 10월 금리 5% 급등 당시 코스피가 10% 이상 하락했다고 지적했다.
https://t.me/davidstocknew 주식소리통
'로봇이 올리브영 택배 포장'…CJ대한통운, 휴머노이드 '실전 투입'
https://techm.kr/news/articleView.html?idxno=154898
1.CJ대한통운이 경기 용인 양지 올리브영 물류센터에 양팔형 휴머노이드 로봇 2대를 배치해 박스 완충재 투입 공정에 투입했다.
2.지난해 군포 풀필먼트센터의 실증 단계를 넘어 실제 출고되는 고객 상품을 다루는 운영 공정에 로봇을 넣은 것이 특징이다.
3.로봇 두뇌인 로봇 파운데이션 모델(RFM) 고도화를 위해 로보티즈·에이딘로보틱스·리얼월드AI와 협력하며, 향후 피킹·분류·검수까지 확대할 계획이다.
https://t.me/davidstocknew 주식소리통
미국, 베네수엘라 원유로 SPR 채운다?
미국 정부가 고갈된 전략비축유(SPR)를 보충하기 위해 베네수엘라 원유 확보 계획을 추진 중.
◆ 어떤 계획인가?
NABEP는 베네수엘라 17개 유전에 대한 100년 개발권을 확보하는 내용의 협정을 체결.
(해당 유전의 추정 매장량: 베네수엘라 전체 석유 매장량의 약 5분의 1에 해당)
미국 정부는 NABEP 모회사 지분 35% + 생산량의 20%를 원가에 공급받을 권리, 나머지 80%에 대한 우선매수권을 확보하는 구조.
◆ NABEP에서 끝나는 이벤트일까?
실제 원유 생산을 확대하려면 시추장비·유전 서비스·송유관·항만·정유시설 등에 대규모 투자가 필요함.
»현재는 셰브론이 별도로 70억 달러 규모의 베네수엘라 투자 계획을 발표했고, 향후 정유사와 유전 서비스업체로 수혜가 확산될 가능성.
다만 …
美, 반도체 완제품까지 관세 확대 검토…"미국서 생산하면 감면"
https://n.news.naver.com/mnews/article/277/0005811206
1.러트닉 미 상무장관은 반도체 관세를 데이터센터 서버·노트북 등 완제품까지 확대하되, 미국 내 생산 기업에는 관세를 감면하는 방안을 검토 중이라고 밝혔다.
2.미국 내 반도체 생산 투자 약속은 약 1조 2000억 달러 규모로, TSMC가 애리조나에 2650억 달러, 마이크론이 2500억 달러를 투자 중이다.
3.삼성전자는 텍사스 테일러에 370억 달러 이상, SK하이닉스는 인디애나에 40억 달러 이상을 투자 중이어서 감면 대상이 될 것으로 기대된다.
https://t.me/davidstocknew 주식소리통
[미국의 비상 원유 창고, 44년 만에 최저]
◆ SPR이란?
(Strategic Petroleum Reserve): 미국의 전략비축유.
-전쟁·제재·허리케인 등으로 원유 공급이 중단될 때를 대비해 정부가 보관하는 비상용 원유
◆ 현재 상황
미국 SPR은 한 주 동안 약 310만 배럴 감소하며 2억8,660만 배럴까지 하락. 1982년 이후 가장 낮은 수준.
»이란 전쟁과 호르무즈 해협 공급 차질에 대응해 미국이 비축유를 대규모로 방출하고 있기 때문.
2022년 러시아의 우크라이나 침공 당시, 유가 안정을 위해 대량 방출한 바 있음.
◆ 왜 지금 중요할까?
①방출에도 높은 유가
SPR을 풀고 있지만 WTI는 여전히 배럴당 90달러를 상회.
② 추가 대응 여력 약화
비축량이 줄어들수록 또 다른 공급 충격이 발생했을 때 미국이 사용할 수…
❤5
Showing the 12 most recent of 562 posts we hold for @davidstocknew. 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
@davidstocknew edited 7 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
9 August 2026
Most recent edit
29 August 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“주식소리통 NEO by Bilanx Research” (@davidstocknew), 17,378 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/davidstocknew.
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.
