[폭스콘, 3분기 순이익 34% 증가] 진시데이터에 따르면, 폭스콘은 목요일(현지시간) 발표한 3분기 실적에서 인공지능(AI) 수요 호조에 힘입어 순이익이 전년 동기 대비 34% 증가했다고 밝혔다. 세계 최대 전자제품 위탁생산 업체이자 엔비디아 최대 서버 제조업체, 그리고 주요 아이폰 조립업체인 폭스콘의 3분기 순이익은 775억 대만달러로, LSEG가 발표한 696억 대만달러와 전년 동기 577억 대만달러를 모두 상회했다.
❤9

Channel
@FastStockNewsUSA
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
41,039subscribers
+800 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001586367974 |
|---|---|
| Type | Channel |
| Username | @FastStockNewsUSA |
| Description | 🇺🇸급등일보에서 직접 운영하는 미국주식 속보·리서치 텔레그램 채널입니다🤠 - 미국증시 속보 및 실시간 주요 이슈 제공 - 유망 기술주/성장주 투자 아이디어 발굴 - 글로벌 매크로와 시장 이슈 브리핑 [공식 소셜 안내] 📌 shorten.is/sns1 [공식 텔레그램] 🚀국내주식 @FastStockNews 🪐코인 @FastBitNews 🏡부동산 @FastLandNews ✅문의 @GoFirstClass 🤫제보 @FastJebo |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/FastStockNewsUSA |
International news — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 29% 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.
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.
Posts published here appear in near-verbatim form on 12 other registered channels. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @FastStockNews/12654615 Oct 2026, 06:40 UTC | @FastStockNewsUSA/23804 · this entry15 Oct 2026, 06:40 UTC | 1.00 | under a minute |
| @HANAchina/7116828 Oct 2026, 13:14 UTC | @FastStockNewsUSA/24040 · this entry28 Oct 2026, 13:16 UTC | 1.00 | 72 seconds |
| @HANAchina/715825 Nov 2026, 03:19 UTC | @FastStockNewsUSA/24176 · this entry5 Nov 2026, 03:20 UTC | 1.00 | under a minute |
| @HANAchina/7193411 Nov 2026, 03:55 UTC | @FastStockNewsUSA/24345 · this entry11 Nov 2026, 03:56 UTC | 1.00 | under a minute |
| @FastStockNewsUSA/24224 · this entry6 Nov 2026, 09:02 UTC | @free_life59/540746 Nov 2026, 09:22 UTC | 1.00 | 20 minutes |
| @free_life59/540897 Nov 2026, 08:27 UTC | @FastStockNewsUSA/24244 · this entry7 Nov 2026, 10:33 UTC | 1.00 | 2.1 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @FastStockNews | 65 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (35–30) |
| @bornlupin | 50 (8/8 hand-verifiable sample passed) | 1.00 | 22 minutes | @bornlupin (50–0) |
| @HANAchina | 48 (8/8 hand-verifiable sample passed) | 1.00 | 46 minutes | @HANAchina (48–0) |
| @free_life59 | 26 (8/8 hand-verifiable sample passed) | 1.00 | 20 minutes | @free_life59 (16–10) |
| @Samsung_Global_AI_SW | 29 (8/8 hand-verifiable sample passed) | 1.00 | 14 minutes | @Samsung_Global_AI_SW (29–0) |
| @G2strategy | 18 (8/8 hand-verifiable sample passed) | 1.00 | 8 minutes | @G2strategy (18–0) |
| @kimcharger | 5 (5/5 hand-verifiable sample passed) | 1.00 | 6 minutes | this entry (4–1) |
| @kwusa | 20 (8/8 hand-verifiable sample passed) | 1.00 | 9 minutes | @kwusa (20–0) |
| @elite_instructor | 8 (8/8 hand-verifiable sample passed) | 1.00 | 11 minutes | this entry (8–0) |
| @nje2e | 8 (8/8 hand-verifiable sample passed) | 1.00 | 85 minutes | this entry (5–3) |
| @idea_memo | 6 (6/6 hand-verifiable sample passed) | 1.00 | 64 minutes | this entry (4–2) |
| @cahier_de_market | 17 (8/8 hand-verifiable sample passed) | 1.00 | 24 minutes | @cahier_de_market (14–3) |
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. 82 of the 84 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 924 comparable posts for this entry, running 5 August 2026 to 11 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.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 06:41 | 41,039 | +20 |
| 10 Nov 2026, 03:51 | 41,019 | -11 |
| 8 Nov 2026, 21:20 | 41,030 | +44 |
| 7 Nov 2026, 13:46 | 40,986 | -4 |
| 6 Nov 2026, 16:26 | 40,990 | +12 |
| 5 Nov 2026, 15:59 | 40,978 | +33 |
| 4 Nov 2026, 17:37 | 40,945 | +38 |
| 3 Nov 2026, 19:48 | 40,907 | +78 |
| 2 Nov 2026, 16:27 | 40,829 | +8 |
| 1 Nov 2026, 19:08 | 40,821 | -3 |
| 30 Oct 2026, 15:15 | 40,824 | -1 |
| 29 Oct 2026, 14:56 | 40,825 | -2 |
| 28 Oct 2026, 10:47 | 40,827 | -8 |
| 27 Oct 2026, 11:16 | 40,835 | +6 |
| 26 Oct 2026, 11:29 | 40,829 | +22 |
| 25 Oct 2026, 13:27 | 40,807 | +9 |
| 24 Oct 2026, 10:50 | 40,798 | -4 |
| 23 Oct 2026, 12:17 | 40,802 | +3 |
| 22 Oct 2026, 14:36 | 40,799 | +25 |
| 21 Oct 2026, 05:20 | 40,774 | first reading |
1,699 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 187 pages of Telegram’s post history, 20 posts per page.
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 507 of 514 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 1,699 (5 August 2026 – 12 November 2026) |
| Views total | 3,440,070 |
| Reactions total | 9,064 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 10:00 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.
Lifetime counters from Telegram’s own channel header, read 12 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.
Measured directly from 23 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.
15,033 reactions across 975 posts, in 45 distinct kinds. The most used accounts for 52.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7,858 | 52.3% | |
| 👍 | 1,386 | 9.22% | |
| 😁 | 931 | 6.19% | |
| 😱 | 893 | 5.94% | |
| 🔥 | 560 | 3.73% | |
| 😨 | 429 | 2.85% | |
| 🤯 | 342 | 2.27% | |
| 😇 | 266 | 1.77% | |
| 💊 | 235 | 1.56% | |
| 👏 | 225 | 1.50% | |
| 🙏 | 218 | 1.45% | |
| 🤔 | 207 | 1.38% | |
| 😐 | 187 | 1.24% | |
| 😢 | 154 | 1.02% | |
| 👻 | 137 | 0.911% | |
| 🤡 | 125 | 0.832% | |
| ⚡ | 103 | 0.685% | |
| 🙈 | 93 | 0.619% | |
| 🙉 | 90 | 0.599% | |
| 🤝 | 84 | 0.559% | |
| 25 further kinds | 510 | 3.39% |
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 979 of the 1,000 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 15,033 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 12 September 2026 to 12 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.
Telegram’s own ‘edited’ marker: 13 of 514 posts held from the last 30 days (2.53%) 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).
[폭스콘, 3분기 순이익 34% 증가] 진시데이터에 따르면, 폭스콘은 목요일(현지시간) 발표한 3분기 실적에서 인공지능(AI) 수요 호조에 힘입어 순이익이 전년 동기 대비 34% 증가했다고 밝혔다. 세계 최대 전자제품 위탁생산 업체이자 엔비디아 최대 서버 제조업체, 그리고 주요 아이폰 조립업체인 폭스콘의 3분기 순이익은 775억 대만달러로, LSEG가 발표한 696억 대만달러와 전년 동기 577억 대만달러를 모두 상회했다.
❤9
트럼프와 루트닉 모두 스파이 사실을 알고 있었다는 점이 엔비디아 사건을 더욱 황당하게 만듭니다. 루트닉은 상무부의 하급 직원들이 조사를 요청하는 것을 막은 것으로 알려졌으며, 민주당은 내년에 이 사건을 두고 크게 반발할 것입니다.
❤11🔥4
월스트리트저널(WSJ) 보도에 따르면, 밴스 미국 부통령이 이란 고위 관리와 직접 만나는 방안을 검토 중이며, 이는 에너지 부문에 약간의 압력을 가하고 있다.
❤8
젠슨황 팬으로서 계속 CEO 역할을 해주었으면 하지만, 아무리 생각해도 직원이랑 연애한건 오바였네요.
😨11😱6❤3
오늘 중 젠슨황 거취가 결정된다고 하니 그걸 기다리는 게 아닌가 싶습니다.
❤6
나스닥 선물지수가 움직임이 없네요
❤4
The information: 미국의 대중국 칩 규제 강화 가능성 외신 언론 더 인포메이션에서 젠슨황 사태로 미국 상무부는 대중국에 대한 칩 수출 규제를 진일보 강화하는 방안을 마련하고 있다고 보도. 일각에서는 동남아 지역까지 포함해서 규제할수도 있다고 보도 해당 우려에 금일 홍콩증시에서 중국 LLM 기업들 주가 일제히 부진 -알리바바 -6.5% -즈푸 -8.0% -미니맥스 -7.2% -텐센트 -2.4% 기사 원문: https://www.theinformation.com/?shem=aimgspe%2C
❤6👍4
•중국 AI칩 획득 출처 추정 (대만언론)
🤯4❤1
전자면 엔비디아만 하락하고 나머지는 오히려 상승하는 곳들도 있었는데 후자면 그냥 AI 생태계 자체가 불확실성으로 다 빠질 듯 ㅠ
😱27❤10😨6🤔1😐1
어제까지만 해도 젠슨황 개인의 일탈, 또는 스파이에게 당했다 같이 해프닝 느낌이었는데 오늘은 젠슨황이라는 AI 키맨이 2선 후퇴 또는 아웃 되는 시나리오로 받아들이는 것 같네요.
😱29❤6😇2
미국장도 엉망일 확률이 높아보이네요 ㅠ
😱23❤3🙉2😘1
오늘 국장 돌아가는 모습을 보니까
❤6😐1
Showing the 12 most recent of 1,699 posts we hold for @FastStockNewsUSA. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
며칠전에 미증시 "극단적 공포" 시에 매수 여부?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 1,000 most recent posts we hold (the sample is capped at 1,000), published 12 September 2026 to 12 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 50 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
Republishes
Channels on the register whose posts this channel has forwarded.
Republishes 96 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.
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.
Named by 6 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.
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.
@FastStockNewsUSA named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 2 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“급등일보 미국주식🇺🇸 속보·매크로·리서치” (@FastStockNewsUSA), 41,039 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/FastStockNewsUSA.
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.