Channel
@funnynasdaq
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
306subscribers
+0 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001271625020 |
|---|---|
| Type | Channel |
| Username | @funnynasdaq |
| Description | 存放股票群内重要讯息 https://t.me/+HzDku67Rk31hMmI0 |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/funnynasdaq |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:15 | 306 | no change |
| 13 Aug 2026, 10:04 | 306 | first reading |
16 posts held, back to 26 July 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 24 November 2023. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 August 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.
22 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 77.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 17 | 77.3% | |
| ❤ | 5 | 22.7% |
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 9 of the 16 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 July 2022 to 24 November 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
The owner of this channel has been inactive for the last 11 months. If they remain inactive for the next 30 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
信安资管公司：距离美联储暂停加息仍有一段时日 在美国10月份CPI数据低于预期后，欧元区政府债券收益率下滑。据Tradeweb数据显示，10年期国债收益率跌幅高达21个基点，其中10年期德债收益率下跌近16个基点，至2.022%。信安资产管理公司首席全球策略师Seema Shah表示：“尽管核心通胀和总体通胀都有所缓解，但我们能从（美联储）那里期待的最好结果只是放缓紧缩的步伐。”Shah称，显然美联储12月可能加息50个基点，而不是75个基点，但在我们看到一系列此类表现的CPI报告之前，距离暂停加息仍有一段时间。
❤3👍3
Signed Tony With you
摩根士丹利表示，美国国债市场终于跌到了可以进场的便宜水平。Matthew Hornbach等分析师在报告中写道，过去一年，美国国债经历了历史性熊市，最近，国债收益率终于达到了风险补偿水平。他们认为，投资者现在应该等待合适的时机买入美国国债，以期收获显著的期限溢价。目前，美国国债的期限溢价已经大幅上升，从某些指标衡量，已经达到了前所未有的高度。不过，报告中也做出了几点警告：①存在价值陷阱，美债价值上升的速度是前所未有的，有理由保持谨慎②随着美国债券市场今年迄今下跌17%，越来越多人无力或不愿承担风险，流动性不佳③交易量通常在月中下降，到月底会回升。
👍1
Signed Tony With you
Photo, posted without a caption
Signed Tony With you
2022年9月8日 美联储主席鲍威尔：如果没有新冠病毒，就不会有这么高的通胀。 美联储主席鲍威尔：新冠疫情大流行导致供应紧张。 美联储主席鲍威尔：通胀高于目标的时间越长，风险越大。 美联储主席鲍威尔：历史告诫我们不要过早地放松政策。 美联储主席鲍威尔：美联储的工作是确保通胀预期得到锚定。 美联储主席鲍威尔：希望有一段经济增长速度低于趋势的时期。
❤1
Signed Tony With you
8/9/2022 美联储鲍威尔讲话： https://youtu.be/fVSmA30qWu0
Signed Tony With you
Powell的讲话：一次坦诚的认错 1.当前首要目标：控通胀。 鲍威尔开篇就提到，美联储当前首要目标就是把通胀拉回到2%的目标。中间有提到，7月的通胀下降，并不足以让美联储相信通胀在持续回落。 2.高通胀—>高通胀预期。 鲍威尔提到，联储不能任由高通胀持续。现在的通胀会影响人们对未来通胀的预期。鲍威尔还引用了沃克尔的一句话"Inflation feeds in part on itself, so part of the job of returning to a more stable and more productive economy must be to break the grip of inflationary expectations." 3.不再给自己找“借口”。 鲍威尔指出，尽管现在高通胀是一个全球现象，有的地方比美国还要高，尽管美国高通胀部分是受到供给受限的影响，而美联储的政策只能作用于需…
👍4
Signed Tony With you
美联储公布的会议纪要显示，7月货币政策会议上，美联储决策者重申要继续加息，认为要遏制高通胀，就得将货币政策变为让经济放缓的限制性水平，并且保持这一水平，直到通胀明显加快回落。美联储决策者首次承认有过度加息的风险，认为未来可能某个时间点放缓加息，但没有明确何时放缓、何时结束。
❤1
Signed Tony With you
机构分析：美国非农就业人数激增，缓解衰退担忧，给美联储带来压力 美国7月非农就业人数是预期的两倍多，表明就业需求非常旺盛，尤其是在劳动力短缺的服务业，缓解了人们对经济衰退的担忧。同时，这也让美联储有理由在通胀持续数十年高企的背景下继续推行激进的货币政策。美联储主席鲍威尔上周表示，有可能在9月份的会议上第三次加息75个基点，这将取决于届时的通胀和经济数据。Glassdoor高级经济学家Daniel Zhao表示：“随着美联储收紧货币政策的影响，劳动力市场可能在未来几个月放缓，但目前，劳动力市场依然火热，有望缓解人们对衰退的担忧。”
👍1
Signed Tony With you
机构评美国第二季度GDP数据：美国经济连续第二个季度萎缩，加大了经济衰退的可能性，数十年来的高通胀削弱了消费者支出，而美联储加息削弱了企业投资和住房需求。美国商务部周四公布的初步估计数据显示，美国国内生产总值年率化下降0.9%，今年前三个月的降幅为1.6%。作为经济最大组成部分的个人消费以1%的速度增长，较前一时期有所放缓。
👍5
Signed Tony With you
黄金高位横盘时间越长，上涨概率越大。 美黄金一直维持强势后的横盘。
Signed Tony With you
美原油预计还会向上冲一波。 美原油99.2附近直接多，损0.55美金，止盈100.2。
👍1
Signed Tony With you
Showing the 12 most recent of 16 posts we hold for @funnynasdaq. 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.
Citation-graph rank — 1,421,154 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Tony ETF 美股资讯频道” (@funnynasdaq), 306 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/funnynasdaq.
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.