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Channel

美股前瞻财经八卦

@xfinance001

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,664subscribers

-2,365 since we began measuring on 19 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003689305988
TypeChannel
Username@xfinance001
Description每天不定时发 美股热点 分析 短评 小道消息 仅供娱乐据此投资盈亏自负 联系:@leexiaolung
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live9 November 2026
Measurements held38
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/xfinance001

Topic

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 89% 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.

Growth

8,66411,2819,972.519 August 2026 — 11,029 subscribers20 August 2026 — 10,922 subscribers21 August 2026 — 10,813 subscribers22 August 2026 — 10,613 subscribers24 August 2026 — 11,218 subscribers25 August 2026 — 11,024 subscribers26 August 2026 — 10,825 subscribers27 August 2026 — 10,749 subscribers28 August 2026 — 11,152 subscribers29 August 2026 — 10,891 subscribers30 August 2026 — 10,700 subscribers31 August 2026 — 10,597 subscribers1 September 2026 — 10,503 subscribers2 September 2026 — 10,360 subscribers3 September 2026 — 10,125 subscribers5 September 2026 — 10,113 subscribers9 September 2026 — 10,100 subscribers11 September 2026 — 10,238 subscribers13 September 2026 — 10,140 subscribers15 September 2026 — 10,082 subscribers17 September 2026 — 10,004 subscribers19 September 2026 — 10,265 subscribers26 September 2026 — 10,901 subscribers4 October 2026 — 11,096 subscribers9 October 2026 — 11,281 subscribers13 October 2026 — 10,936 subscribers14 October 2026 — 10,732 subscribers15 October 2026 — 10,598 subscribers16 October 2026 — 10,530 subscribers17 October 2026 — 10,316 subscribers18 October 2026 — 10,135 subscribers20 October 2026 — 10,042 subscribers21 October 2026 — 9,921 subscribers24 October 2026 — 9,942 subscribers27 October 2026 — 9,597 subscribers2 November 2026 — 9,260 subscribers5 November 2026 — 9,044 subscribers9 November 2026 — 8,664 subscribers19 August 20269 November 2026
38 measurements spanning 82 days, net -2,365. 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 8,271–11,674 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)SubscribersChange
9 Nov 2026, 11:488,664-380
5 Nov 2026, 20:419,044-216
2 Nov 2026, 21:269,260-337
27 Oct 2026, 04:069,597-345
24 Oct 2026, 10:309,942+21
21 Oct 2026, 03:279,921-121
20 Oct 2026, 00:0410,042-93
18 Oct 2026, 22:1810,135-181
17 Oct 2026, 19:4110,316-214
16 Oct 2026, 18:5710,530-68
15 Oct 2026, 18:1910,598-134
14 Oct 2026, 15:2910,732-204
13 Oct 2026, 06:3110,936-345
9 Oct 2026, 03:1611,281+185
4 Oct 2026, 17:3711,096+195
26 Sept 2026, 19:3710,901+636
19 Sept 2026, 16:2210,265+261
17 Sept 2026, 01:1910,004-78
15 Sept 2026, 04:3610,082-58
13 Sept 2026, 11:1910,140first reading

Engagement

124 posts held, back to 14 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 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.3%
avg views ÷ 8,664 subscribers
Avg views / post
1,070
65 posts measured
Reaction rate
0.092%
reactions ÷ views · ER floor
Posts in window
65
of 124 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 1 of 65 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held124 (14 August 2026 – 10 November 2026)
Views total69,478
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 11:55 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
780
Videos
13
Links
42

Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

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

210 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 21.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏4521.4%
❤3114.8%
🔥3114.8%
👍3014.3%
🎉2913.8%
👎2411.4%
🤔209.52%

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 19 of the 124 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 210 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 124 most recent posts we hold, published 14 August 2026 to 10 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: 0 of 65 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).

10 Nov 2026, 07:31 UTC874 viewsread 10 November 2026
Photo

碰到听不懂的推特视频,用这个机器人将语音转成文字识别,支持多语种 👇 🤖 https://t.me/xfinancbot

10 Nov 2026, 07:21 UTC868 viewsread 10 November 2026

$HIMS 报23美元 在收盘前发布财报前,略低于其200 WMA 季度营收9亿美元 300万订阅用户 预计将发布肽类公告 目前市值55亿美元 而今天下跌9% 我认为这份财报后可能会有大惊喜 这说不通

10 Nov 2026, 07:20 UTC875 viewsread 10 November 2026

记住,并非所有回调都是买入机会 但 $HIMS $ZETA $OSCR $ASTS 以及今年即将出现的 $NVDA 回调 都是改变妻子级别的

10 Nov 2026, 04:40 UTC≈1,010 viewsread 10 November 2026
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通过本机器人可以查询多种资产实时价格,包括 金,银,BTC, ETH, 主要货币汇率... 👉 http://t.me/xfinancbot

10 Nov 2026, 04:30 UTC≈1,060 viewsread 10 November 2026

来点阴谋论!如果Nasdaq今天收涨,我就会确信,过去一个月里很多“重要人物”早就知道这个Jensen的消息。而这才是过去一个月股票下跌的真正原因。和往常一样,散户总是最后才知道。如果今天标志着半导体崩盘的底部,我绝对会相信这是真的。 过去一个月,所有新闻都被当成坏消息,即使实际上是好消息,半导体股票还是崩了。像SK和SNDK等许多公司的财报是有史以来最好的之一,但半导体股票仍遭血洗。如果这个“坏消息”没有打垮半导体股票,那告诉我大玩家已经卖完了他们想卖的所有东西。他们现在可能开始买入。我们拭目以待。 加密crypto频道 👉 @dexflash

10 Nov 2026, 03:00 UTC≈1,150 viewsread 10 November 2026
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将包含视频的推文的url链接(例如:https://x.com/elonmusk/status/2111930742615802163 )发送给本机器人,即可下载视频 🫰 http://t.me/xfinancbot

10 Nov 2026, 02:50 UTC≈1,010 viewsread 10 November 2026
Photo

$ZETA 连续第21次超预期并上调指引 Q3业绩: • 营收:4.927亿美元,预期4.709亿美元,同比增长46% • 剔除Marigold和政治候选人收入后的增长:30%,指引为23%-24% • 调整后EPS:0.38美元,预期0.28美元 • 调整后EBITDA:1.21亿美元,同比增长55%,利润率24.6% 上调指引: • Q4营收中值:5.08亿美元 → 5.23亿美元 • FY26营收中值:18.18亿美元 → 18.55亿美元 • FY26自由现金流中值:2.55亿美元 → 2.71亿美元 • FY26 GAAP EPS中值:0.10美元 → 0.23美元 产品更新同样很有意思: Athena: • Zeta最大客户中现在有超过一半每月使用它,Q2时仅略高于40% • 其前25大用户对Zeta的支出同比增长超过70% $PLTR 合作: • 已有八家客户在不同阶段开绿灯,首个试点已转化 • 管理…

10 Nov 2026, 02:49 UTC≈1,020 viewsread 10 November 2026
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$NBIS 今日因融资消息上涨 路透社今日报道,Nebius 在9月探讨了高收益债券发行,并于10月决定不进行 Nebius 同月还单独获得了花旗35亿美元、364天期信贷安排,初始定价为 Term SOFR + 2.75% 本周四将发布财报,焦点在于管理层计划如何为下一阶段融资 第二季度突出的是交易经济性(折旧摊销前毛利率77%) • 新AI云交易平均每兆瓦ARR超过2000万美元 • 管理层估计回本期为22个月,低于其历史2-3年区间 $NBIS 当前市值为2026年底ARR的4.3-5.5倍,你在财报前看涨还是看跌? 加密crypto频道 👉 @dexflash

10 Nov 2026, 02:49 UTC≈1,300 viewsread 10 November 2026
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$RKLB 和 $ASTS 今天发布财报,并带来了重大消息 $RKLB - NASA 确认,RocketLab 建造的两艘 ESCAPADE 航天器在成功完成有动力地球飞掠后,现已前往火星 $ASTS - ASTS 与 Rakuten 宣布成立合资企业,在日本建设卫星到智能手机网络 • ASTS 将提供卫星 • 该合资企业预计将获得日本政府最高 10 亿美元支持 • 目标是到 2029 年 3 月实现日本国内运营 这对太空行业来说正成为一个重要日子,因为有两项非常不同的执行测试: $RKLB: • 在将首次发射推迟到 2027 年之后,Neutron 取得了什么进展? • Space Systems 的增长情况如何(目前是主要经济引擎)? $ASTS: • 卫星生产和发射能否跟上其星座计划? • 部署时间表、商业服务以及建设 Blacklift 的成本是否明确? 两者的雄心都远超其当前状况 整个太空行业的问题是时机…

10 Nov 2026, 01:25 UTC≈1,020 viewsread 10 November 2026

⚠️ 🔥 美股大事件提醒 CPI通胀数据 🕐 美东时间:2026-11-10 08:30 🕐 北京时间:2026-11-10 21:30

10 Nov 2026, 00:13 UTC≈1,090 viewsread 10 November 2026
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加这个机器人 (http://t.me/xfinancbot), 点击推特视频下方的[语音转文字]按钮,即可将视频中的语音提取并转为文字

10 Nov 2026, 00:03 UTC≈1,060 viewsread 10 November 2026
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$SPCX, $ASTS, $RKLB, $RDW, $PL, $LUNR, $FLY, $VOYG: 太空板块早盘期货微涨,即便经历了黄仁勋丑闻与回调。 【本消息由 @xfinancbot 自动推送】

Showing the 12 most recent of 124 posts we hold for @xfinance001. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“美股前瞻财经八卦” (@xfinance001), 8,664 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/xfinance001.

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.