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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 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 9 November 2026 |
| Measurements held | 38 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Nov 2026, 11:48 | 8,664 | -380 |
| 5 Nov 2026, 20:41 | 9,044 | -216 |
| 2 Nov 2026, 21:26 | 9,260 | -337 |
| 27 Oct 2026, 04:06 | 9,597 | -345 |
| 24 Oct 2026, 10:30 | 9,942 | +21 |
| 21 Oct 2026, 03:27 | 9,921 | -121 |
| 20 Oct 2026, 00:04 | 10,042 | -93 |
| 18 Oct 2026, 22:18 | 10,135 | -181 |
| 17 Oct 2026, 19:41 | 10,316 | -214 |
| 16 Oct 2026, 18:57 | 10,530 | -68 |
| 15 Oct 2026, 18:19 | 10,598 | -134 |
| 14 Oct 2026, 15:29 | 10,732 | -204 |
| 13 Oct 2026, 06:31 | 10,936 | -345 |
| 9 Oct 2026, 03:16 | 11,281 | +185 |
| 4 Oct 2026, 17:37 | 11,096 | +195 |
| 26 Sept 2026, 19:37 | 10,901 | +636 |
| 19 Sept 2026, 16:22 | 10,265 | +261 |
| 17 Sept 2026, 01:19 | 10,004 | -78 |
| 15 Sept 2026, 04:36 | 10,082 | -58 |
| 13 Sept 2026, 11:19 | 10,140 | first reading |
Engagement
110 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 32 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.4%
- avg views ÷ 8,664 subscribers
- Avg views / post
- 1,080
- 51 posts measured
- Reaction rate
- 0.092%
- reactions ÷ views · ER floor
- Posts in window
- 51
- of 110 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 51 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 November 2026 |
|---|---|
| Posts held | 110 (14 August 2026 – 9 November 2026) |
| Views total | 54,889 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 23:49 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
- 770
- Videos
- 13
- Links
- 38
Lifetime counters from Telegram’s own channel header, read 9 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 45 | 21.4% | |
| ❤ | 31 | 14.8% | |
| 🔥 | 31 | 14.8% | |
| 👍 | 30 | 14.3% | |
| 🎉 | 29 | 13.8% | |
| 👎 | 24 | 11.4% | |
| 🤔 | 20 | 9.52% |
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 110 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 110 most recent posts we hold, published 14 August 2026 to 9 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 51 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).
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
$NVO 自2026年初以来一直守住其200月移动平均线支撑 吸筹区正在发挥作用 新散户不会在这里加仓 聪明资金会 仅仅回到80美元的200周移动平均线,就正好是+100%的涨幅 【本消息由 @xfinancbot 自动推送】
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
$ZETA 财报将于周一发布 连续20次超预期并上调指引后,焦点在AI产品上 第三季度指引预期: • 营收:4.69亿美元-4.72亿美元,同比增长39%-40% • 调整后EBITDA:1.15亿美元-1.16亿美元,同比增长47%-49% 剔除收购和政治候选人收入后的增长指引为23%-24% 我关注的进展: 1. 与$PLTR的合作 Zeta正在Palantir Foundry上重建其Data Cloud,以将客户智能与企业数据连接起来 管理层认为,未来几年这有望带来超过1亿美元的年收入 2. Athena采用情况 客户是否在更广泛地使用它并增加支出,还是采用仍领先于变现? 3. AthenaOS与2027年机遇 AthenaOS旨在围绕业务目标整合企业数据、客户智能和AI代理 计划于2027年第一季度全面可用,进展如何? 4. AI发现 Zeta同意收购Senso,以帮助品牌理解并改善其在Cha…
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
$KEEL 较历史高点已回撤75% 大部分炒作热度已经消退 但基础设施投资逻辑仍在推进,尽管租赁进展比预期更慢 Keel最新数据: • 已锁定656MW数据中心电力,其中包括由公用事业协议覆盖的438MW增长容量 • 正在评估额外1.52GW扩张容量 • 总项目储备2.18GW 当前重点是位于美国三个站点的478MW: • Moses Lake:18MW,正在建设中,首批HPC收入预计在2027年 • Sharon:110MW,还剩一项环境许可 • Panther Creek:350MW,还剩三项环境许可 宾夕法尼亚州收入现在预计于2028年初开始,取决于租约签署和建设进度 采用以下假设: • PUE为1.15-1.35,在冷却和其他设施需求之后,剩余324-381MW可用于IT设备 • 每MW IT容量的年租赁收入为165万-185万美元 按当前438MW已锁定增长电力计算,这给出全面建成的535M-705M…
$ASTS 接下来会怎样? 我个人的看法,从技术分析角度 我们曾告诉过你会走向哪里;当所有人都在100美元以上追捧它时,我们在等待29美元 目前 $ASTS 正在遵循结构,走出一段漂亮的第2浪ABC调整。一旦找到支撑,接下来就是指向234美元的大第3浪走势 但首先我想看到支撑。两个重要水平: - 0.786斐波那契水平,上周它收于该水平上方 - 200周移动平均线 财报将在周一发布。让我们看看他们能否执行到位,以及财报后的反应能否重新站上200周移动平均线 拭目以待 非投资建议 Русскую версию можно посмотреть здесь👉 @us_stock77
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
SPX不见到200 SMA就不会见底 标普每一次宏观下跌都在这一确切均线处结束,而我们现在远在其上方,就像过去每次回调前一样 多数人都在喊无限新高。我却先看到跌向该线。 走势会这样演绎: 从7,500顶部受阻回落 约25%的向下回调 触及接近5,600的200 SMA 之后从该线反弹 前两次下跌都触及该线并反弹,因此这次没有理由跳过它 那次反弹是没人愿意做的交易,恰在恐惧最响亮之时 你要么在令人恐惧时在该线买入,要么在反弹消失后追涨 加密crypto频道 👉 @dexflash
$UUUU 我喜欢这里的风险回报比 👀 价格正处在0.786斐波那契位置,目前位于200月均线下方。 出现了一些看涨背离,我很乐意在此买入。 浪Y目标:409% 🚀
Charlie Munger:“我的伯克希尔股票曾三次下跌50%。这是游戏的一部分。” 股票平均每年从高点到低点波动100%;我们每1到2年会有一次10%的回调,每4年会有一次熊市。 如果你承受不了,就不要持有股票。
Showing the 12 most recent of 110 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.
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.
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.