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 11 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 (1 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 106 comparable posts for this entry, running 3 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 key 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
26 measurements spanning 92 days, net +196. 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 8,859–9,585 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
8 Nov 2026, 00:01
9,501
+136
5 Nov 2026, 04:29
9,365
+219
2 Nov 2026, 09:06
9,146
+1
30 Oct 2026, 09:15
9,145
-12
27 Oct 2026, 17:00
9,157
-9
24 Oct 2026, 07:36
9,166
+6
21 Oct 2026, 12:35
9,160
+76
18 Oct 2026, 20:19
9,084
+141
15 Oct 2026, 11:28
8,943
-11
12 Oct 2026, 02:57
8,954
-21
5 Oct 2026, 19:20
8,975
-15
28 Sept 2026, 12:38
8,990
-27
19 Sept 2026, 02:57
9,017
-21
14 Sept 2026, 17:21
9,038
-20
11 Sept 2026, 06:56
9,058
-17
6 Sept 2026, 19:37
9,075
-9
1 Sept 2026, 20:42
9,084
-27
30 Aug 2026, 03:28
9,111
-21
27 Aug 2026, 02:34
9,132
-32
24 Aug 2026, 12:34
9,164
first reading
Engagement
226 posts held, back to 3 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.0%
avg views ÷ 9,501 subscribers
Avg views / post
1,800
148 posts measured
Reaction rate
0.6%
reactions ÷ views · ER floor
Posts in window
148
of 226 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 116 of 148 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 11 November 2026
Posts held
226 (3 August 2026 – 11 November 2026)
Views total
266,909
Reactions total
1,367
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 11:41 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
Photos
≈2,110
Videos
≈45
Links
≈1,550
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
11s
Average length
11s
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
2,569 reactions across 188 posts, in 37 distinct kinds. The most used accounts for 20.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
523
20.4%
👍
476
18.5%
🔥
391
15.2%
👏
277
10.8%
😁
214
8.33%
🤔
130
5.06%
😱
116
4.52%
🥰
71
2.76%
😭
50
1.95%
🤬
49
1.91%
😢
48
1.87%
🤷♂
29
1.13%
🤣
23
0.895%
🤪
23
0.895%
🤷♀
22
0.856%
😡
18
0.701%
🥱
15
0.584%
✍
14
0.545%
🙏
12
0.467%
😨
8
0.311%
17 further kinds
60
2.34%
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 191 of the 226 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 2,569 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 226 most recent posts we hold, published 3 August 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: 40 of 148 posts held from the last 30 days (27.0%) 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).
"MLCC, 반도체 닮아가네"…AI 서버 수요 폭증, 고부가 제품 위주 재편
트렌드포스에 따르면 2027년 전체 서버 출하량은 약 20%, AI 서버 출하량은 36% 증가할 것으로 예상된다. 차세대 AI 플랫폼에 필요한 MLCC 탑재량도 세대마다 늘어나는 추세다.
트렌드포스는 삼성전기·무라타·다이요유덴 등 3개 업체의 출하량이 1.8% 감소해도 매출은 사상 최고치를 기록할 것으로 전망했다. 판매량보다 고부가 제품의 비중과 가격이 매출 성장에 더 큰 영향을 미치는 구조로 재편된 것으로 분석된다.
고부가 MLCC 제품은 제조 공정이 복잡해 같은 설비에서 생산할 수 있는 수량이 상대적으로 적다. 삼성전기를 비롯한 주요 업체들이 AI용 생산을 늘려도 단기간에 공급을 크게 확대하기 어려운 이유다.
트렌드포스에 따르면 지난 6월 말 기준 삼성전기…
중국이랑 직접 경쟁하는 제조업은 볼 이유가 없다 -> 중국 제조업을 이길 수 없기 때문이다 -> R&D 500억, 감가상각 500억 이상 쓰는 자본 집약 중국 기술 제조업인데 코스닥에 상장되어 있고, 전방 산업이 AIDC, 반도체, MLCC, 2차전지, OLED 인 기업이 있는데 -> POR1에 증설과 업황 고려하면 향후 매출 폭증이 예상되어 있다? -> 사상 최초로 독립리서치 보고서 나온다면?
중국의 투자는 앞으로 더 빨라질 것
========================
~ 최근 중국기업개혁발전연구회의 '2026 세계 에너지 전환 보고서' 등에 따르면 올해 중국의 에너지 투자 규모는 9400억달러(약 1258조원)로 세계 최대 규모가 될 것으로 예상된다. 특히 동부의 데이터를 서부에서 연산하기 위한 전력망 투자 규모도 약 1400억달러(약 187조원)에 이를 것으로 국제에너지기구(IEA)는 전망했다
~ 국가 주도의 인프라 투자로 중국의 데이터센터 건립은 빨라지고 있다. 미국에서는 빅테크 기업이 데이터센터를 완공해도 송전망 연결에 평균 5년을 기다려야 하는 병목 현상이 나타나고 있다. 반면 중국은 정부가 초고압 송전망을 선제 구축해 전력망 연결에 3~6개월밖에 걸리지 않는다
https://n.news.naver.com/art…
소외된 종목 G리는 종목 잘 부탁 드립니다. 그러고 보니 GRT는 증권사 애널리포트 나올 가능성은 당장은 희박하지만, 독립 리서치 리포트는 가능성 있을지도? 소외된 종목 알린다는 독립 리서치 취지에도 맞으니까. 과연 리포트가 나올까?
👍7😁1
Showing the 12 most recent of 226 posts we hold for @small_stock. 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
@small_stock edited 1 post 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
8 November 2026
Most recent edit
8 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 1 registered channel — 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.
선진짱 주식공부방 @sunstudy1111 · 55,188 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 2 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,776 Telegram ranks this channel #19 of 83 here — alongside 82 others — read 18 September 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠) @hermitcrab41_1 · 21,453 Telegram ranks this channel #24 of 81 here — alongside 80 others — read 28 September 2026
회색인간의 매크로 + 투자 @mistergray_11 · 19,792 Telegram ranks this channel #28 of 78 here — alongside 77 others — read 1 October 2026
AWAKE - 52주 신고가 모니터링 @awake_realtimeCheck · 22,874 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 20 September 2026
YM리서치 @ym_research · 39,821 Telegram ranks this channel #30 of 89 here — alongside 88 others — read 2 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,313 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 10 September 2026
도PB의 생존투자 @survival_DoPB · 22,062 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 21 September 2026
조기주식회 공부방 @EarlyStock1 · 24,379 Telegram ranks this channel #40 of 91 here — alongside 90 others — read 16 September 2026
선수촌 @athletes_village · 22,138 Telegram ranks this channel #46 of 88 here — alongside 87 others — read 23 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치 @FastStockNewsUSA · 41,019 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 2 September 2026
간절한 투자스터디카페 @desperatestudycafe · 18,510 Telegram ranks this channel #54 of 83 here — alongside 82 others — read 5 October 2026
타점 읽어주는 여자(타자) @tazastock · 40,945 Telegram ranks this channel #61 of 89 here — alongside 88 others — read 2 September 2026
시장 이야기 by 제이슨 @bumgore · 35,370 Telegram ranks this channel #63 of 89 here — alongside 88 others — read 2 September 2026
피카츄 아저씨⚡️ @pikachu_aje · 24,923 Telegram ranks this channel #64 of 91 here — alongside 90 others — read 14 September 2026
제약/바이오/미용 원리버 Oneriver @pharmbiohana · 29,759 Telegram ranks this channel #68 of 89 here — alongside 88 others — read 7 September 2026
스탁이지 - AI 투자 어시스턴트 @maddingStock · 20,884 Telegram ranks this channel #71 of 87 here — alongside 86 others — read 27 September 2026
Buff @bufkr · 21,585 Telegram ranks this channel #72 of 89 here — alongside 88 others — read 21 September 2026
김찰저의 관심과 생각 저장소 @kimcharger · 25,264 Telegram ranks this channel #72 of 88 here — alongside 87 others — read 15 September 2026
서화백의 그림놀이 🚀 @easobi · 23,419 Telegram ranks this channel #80 of 87 here — alongside 86 others — read 18 September 2026
그로쓰리서치(Growth Research) [독립리서치] @growthresearch · 40,090 Telegram ranks this channel #84 of 90 here — alongside 89 others — read 2 September 2026
루팡 @bornlupin · 49,242 Telegram ranks this channel #84 of 91 here — alongside 90 others — read 2 September 2026
재야의 고수들 @gaoshoukorea · 41,200 Telegram ranks this channel #87 of 90 here — alongside 89 others — read 2 September 2026
This channel appears in 23 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“소형주 투자자 텔레그램” (@small_stock), 9,501 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/small_stock.
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.
