【段永平:目前不会卖出 #英伟达 ,未来黄仁勋或以“影子CEO”回归】11月13日,段永平在回复网友提问时称,“目前我不会卖出英伟达,实际上我今天卖了不少Puts。”他还补充了对黄仁勋回归可能性的判断,认为如果当初促使黄仁勋辞职的核心原因没有消除,他大概率不会重新回到岗位,但是存在一种可能性,就是公司邀请他担任顾问,成为类似“影子CEO”的角色,保留影响力,只是不再拥有签字决策权,而这个方向,要等到听证会结束之后才有可能出现明确结论。
🤡8👍3💯1

Channel
@FinanceNewsDaily
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
59,438subscribers
+5,616 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001132332373 |
|---|---|
| Type | Channel |
| Username | @FinanceNewsDaily |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 November 2026 |
| Measurements held | 66 |
| Confirmed unchanged | 1 time, most recently 13 November 2026 |
| On Telegram | t.me/FinanceNewsDaily |
Technology — 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 58% 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 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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 |
|---|---|---|---|
| @FinanceNewsDaily/492256 · this entry7 Aug 2026, 12:35 UTC | @Showmoney118/739777 Aug 2026, 12:35 UTC | 1.00 | under a minute |
| @FinanceNewsDaily/492260 · this entry7 Aug 2026, 12:50 UTC | @Showmoney118/739817 Aug 2026, 12:50 UTC | 1.00 | under a minute |
| @FinanceNewsDaily/492262 · this entry7 Aug 2026, 13:00 UTC | @Showmoney118/739827 Aug 2026, 13:00 UTC | 1.00 | under a minute |
| @FinanceNewsDaily/492263 · this entry7 Aug 2026, 13:25 UTC | @Showmoney118/739847 Aug 2026, 13:25 UTC | 1.00 | under a minute |
| @FinanceNewsDaily/492264 · this entry7 Aug 2026, 13:25 UTC | @Showmoney118/739857 Aug 2026, 13:25 UTC | 1.00 | under a minute |
| @FinanceNewsDaily/492265 · this entry7 Aug 2026, 13:30 UTC | @Showmoney118/739867 Aug 2026, 13:30 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @Showmoney118 | 7 (7/7 hand-verifiable sample passed) | 1.00 | under a minute | this entry (7–0) |
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 1,486 comparable posts for this entry, running 6 August 2026 to 12 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.
Of the group of 2 channels, the one whose matching posts we hold earliest is @FinanceNewsDaily — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 13 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.
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Nov 2026, 14:11 | 59,438 | +70 |
| 11 Nov 2026, 02:19 | 59,368 | +58 |
| 9 Nov 2026, 07:44 | 59,310 | +74 |
| 8 Nov 2026, 01:05 | 59,236 | +67 |
| 6 Nov 2026, 22:29 | 59,169 | +45 |
| 5 Nov 2026, 19:57 | 59,124 | +66 |
| 4 Nov 2026, 19:17 | 59,058 | +64 |
| 3 Nov 2026, 19:59 | 58,994 | +31 |
| 2 Nov 2026, 16:46 | 58,963 | +57 |
| 1 Nov 2026, 14:29 | 58,906 | +53 |
| 31 Oct 2026, 13:58 | 58,853 | +22 |
| 30 Oct 2026, 13:04 | 58,831 | +7 |
| 29 Oct 2026, 11:08 | 58,824 | +15 |
| 28 Oct 2026, 11:05 | 58,809 | +8 |
| 27 Oct 2026, 11:09 | 58,801 | +23 |
| 26 Oct 2026, 11:30 | 58,778 | +20 |
| 25 Oct 2026, 08:27 | 58,758 | +54 |
| 24 Oct 2026, 09:50 | 58,704 | +23 |
| 23 Oct 2026, 10:49 | 58,681 | +26 |
| 22 Oct 2026, 12:50 | 58,655 | first reading |
2,902 posts held, back to 6 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 199 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 274 of 906 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 2,902 (6 August 2026 – 13 November 2026) |
| Views total | 1,014,305 |
| Reactions total | 1,028 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 11:10 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.
1,127 reactions across 289 posts, in 8 distinct kinds. The most used accounts for 44.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 496 | 44.0% | |
| 👍 | 388 | 34.4% | |
| 👎 | 145 | 12.9% | |
| 👏 | 49 | 4.35% | |
| 🤯 | 20 | 1.77% | |
| 💯 | 17 | 1.51% | |
| 🤔 | 6 | 0.532% | |
| 🤷♂ | 6 | 0.532% |
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 297 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 1,127 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 October 2026 to 13 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: 0 of 906 posts held from the last 30 days (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).
【段永平:目前不会卖出 #英伟达 ,未来黄仁勋或以“影子CEO”回归】11月13日,段永平在回复网友提问时称,“目前我不会卖出英伟达,实际上我今天卖了不少Puts。”他还补充了对黄仁勋回归可能性的判断,认为如果当初促使黄仁勋辞职的核心原因没有消除,他大概率不会重新回到岗位,但是存在一种可能性,就是公司邀请他担任顾问,成为类似“影子CEO”的角色,保留影响力,只是不再拥有签字决策权,而这个方向,要等到听证会结束之后才有可能出现明确结论。
🤡8👍3💯1
源杰科技:收到B客户大功率激光器 #芯片 产品采购订单,金额17.44亿元(不含税)。
Microsoft 364
🤡14👏2🤷♂2
IEA月报:OPEC第二大产油国伊拉克将产量提高54万桶/日,至460万桶/日,为2019年9月以来最高水平。
IEA月报:因 #伊朗 相关制约下调2027年供应预测。 将2026年石油供应预测上调92万桶/日。 预计石油供应2026年将下降480万桶/日,2027年 #反弹 660万桶/日。 10月海湾地区成品油流量仍比2月水平低44%。 预计2026年炼油厂加工量下降220万桶/日,2027年增加250万桶/日。 10月全球炼油厂加工量 #环比 下降130万桶/日。
【IEA月报:受海湾石油出口推动,全球石油市场转向过剩】 IEA月报:预计2026年第四季度全球油市将出现170万桶/日的供应过剩(此前预测为第四季出现供应短缺)。 IEA 11月供需平衡预测显示,全球油市将在2026年第四季重新转为供应过剩,并将在2027年出现更为显著的库存累积。 成员国计划在2027年2月底前进一步释放 7,100万桶紧急 #原油 和成品油储备。 成品油释储将以柴油为重点,计划在明年2月底前释放约1,500万桶柴油。 全球油市正显示出重新趋于平衡的迹象,自 #伊朗 冲突爆发以来,供应首次超过需求。 10月可观测石油库存增加了5,200万桶,为自6月以来首次上升。
📊 经济数据汇总 • #中国 10月M1货币供应 #同比 4.4%,前值 3.2%。
【 #恒生 指数收盘跌1.55%, #恒生科技 指数跌3.02%,智谱跌约10%】 MINIMAX跌约8%,中际旭创跌约9%,万国数据跌约8%,联想集团跌约6%,华虹宏力跌约6%, #小鹏 集团跌约5%,快手跌4.5%。
【两部门:指导 #储能 电池企业合理有序推进项目建设 防范盲目扩张 #风险 】 国家发展改革委、国家能源局印发《“十五五”新型储能实施方案》。其中提出,鼓励新型储能制造企业提高关键原材料资源保障水平和产品质量等。夯实全产业链自主研发制造能力。优化新型储能性能检测能力建设。研究新型储能回收体系。鼓励各地因地制宜培育新型储能产业生态集群,加强市场研判与评估,发挥新型储能发展需求对产业的引导作用,促进产能合理布局和结构优化。落实 #锂 电池产业调控要求,指导储能电池企业合理有序推进项目建设,防范盲目扩张风险。
【 #A股 收盘: #创业板 指高开低走跌3.32% 全市场超4700只个股下跌】创业板指、 #深成指 高开低走,科 #创50 指数冲高回落,此前一度涨超2%。全市场 #成交额 超1.66万亿,超4700只个股下跌。银行板块表现活跃,江苏银行、南京银行、青岛银行、成都银行、杭州银行均创历史新高;算力硬件概念集体下挫,CPO、PCB方向领跌,景旺电子 #跌停 ,天孚通信、源杰科技、新易盛等纷纷走弱。截至收盘, #沪指 跌0.59%,深成指跌2.05%,创业板指跌3.32%。
【两部门:到2030年,全国新型 #储能 装机规模达到3亿千瓦,平均储能时长3小时左右】国家 #发改委 、国家能源局印发《“十五五”新型储能实施方案》。方案提出,锚定2030年前碳达峰目标,建设能源强国,坚持高质量发展主线,统筹发展和安全,综合平衡各类电源、电网及调节能力的关系,巩固提升新型储能产业核心竞争力,全面支撑新型能源体系和新型电力系统建设。到2030年,新型储能由规模化发展阶段步入市场化发展阶段,全国新型储能装机规模达到3亿千瓦,平均储能时长3小时左右。
【央视网评:离岸 #信托 个税申报超1600亿,不是“劫富”,是收旧账】 1600多亿申报入库,10月单月入库超1200亿、带动当月全国个税收入增长近90%。数字出来的时候,有些自媒体炒作:“对富人加税了”?恰恰相反。这1600多亿的离岸信托个税谈不上开征新税,更谈不上对哪一群人定向加税,它是把本该缴的税,收回来。
👎3👍1
Showing the 12 most recent of 2,902 posts we hold for @FinanceNewsDaily. 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.
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.
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.
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 24 August 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 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.
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 13 November 2026 — this entry's latest reading, not the date you are reading this.
“【华尔街见闻】- 财经时讯 | AI 实时互动” (@FinanceNewsDaily), 59,438 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/FinanceNewsDaily.
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.