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Channel

加密货币crypto资讯

@jmhb1

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

31,397subscribers

+1,727 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001192460556
TypeChannel
Username@jmhb1
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/jmhb1

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 36% 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 why it has no browse page of its own yet.

Growth

24,03635,28029,6587 August 2026 — 29,670 subscribers8 August 2026 — 29,354 subscribers9 August 2026 — 28,727 subscribers10 August 2026 — 28,200 subscribers11 August 2026 — 27,990 subscribers11 August 2026 — 28,700 subscribers13 August 2026 — 26,938 subscribers14 August 2026 — 26,512 subscribers16 August 2026 — 25,955 subscribers17 August 2026 — 25,676 subscribers18 August 2026 — 25,538 subscribers19 August 2026 — 24,383 subscribers20 August 2026 — 24,171 subscribers21 August 2026 — 24,036 subscribers22 August 2026 — 24,730 subscribers24 August 2026 — 35,280 subscribers25 August 2026 — 34,948 subscribers26 August 2026 — 34,613 subscribers27 August 2026 — 34,467 subscribers28 August 2026 — 34,037 subscribers29 August 2026 — 33,647 subscribers30 August 2026 — 33,320 subscribers31 August 2026 — 33,264 subscribers1 September 2026 — 33,115 subscribers2 September 2026 — 32,040 subscribers4 September 2026 — 31,814 subscribers6 September 2026 — 33,248 subscribers10 September 2026 — 32,616 subscribers12 September 2026 — 32,286 subscribers14 September 2026 — 31,772 subscribers15 September 2026 — 31,397 subscribers31,3977 August 202615 September 2026
31 measurements spanning 39 days, net +1,727. 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 22,349–36,967 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
15 Sept 2026, 15:3731,397-375
14 Sept 2026, 03:0031,772-514
12 Sept 2026, 07:4032,286-330
10 Sept 2026, 05:2132,616-632
6 Sept 2026, 20:0033,248+1,434
4 Sept 2026, 10:5831,814-226
2 Sept 2026, 22:2532,040-1,075
1 Sept 2026, 18:3333,115-149
31 Aug 2026, 19:2633,264-56
30 Aug 2026, 17:3433,320-327
29 Aug 2026, 16:2733,647-390
28 Aug 2026, 13:2334,037-430
27 Aug 2026, 16:4234,467-146
26 Aug 2026, 14:1234,613-335
25 Aug 2026, 11:3534,948-332
24 Aug 2026, 08:4735,280+10,550
22 Aug 2026, 19:4324,730+694
21 Aug 2026, 10:0324,036-135
20 Aug 2026, 10:0224,171-212
19 Aug 2026, 12:4424,383first reading

Engagement

1,256 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.69%
avg views ÷ 31,397 subscribers
Avg views / post
2,100
820 posts measured
Reaction rate
0.03%
reactions ÷ views · ER floor
Posts in window
820
of 1,256 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 16 of 820 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 9 September 2026
Posts held1,256 (7 August 20269 September 2026)
Views total1,721,834
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 15:21 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

Video runtime
1m 51s
Average length
6s

Measured directly from 18 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.

Reaction mix

14 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1285.7%
214.3%

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 16 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 14 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 August 2026 to 9 September 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

9 Sept 2026, 15:17 UTC241 viewsread 9 September 2026

特朗普能源股持仓在伊朗战争期间估计增值150万至440万美元 BlockBeats 消息,9 月 9 日,据 CNBC 报道,美国总统特朗普披露的 9 项最大油气公司持仓,在伊朗战争爆发前夕的 2 月 27 日至 8 月 31 日期间,估计增值 150 万至 440 万美元。 相关持仓包括埃克森美孚、雪佛龙、康菲石油、西方石油及多家炼油和管道公司。 特朗普的投资账户在战争期间继续买卖能源股。截至 6 月 29 日,账户至少报告了 23 笔相关股票出售。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 15:05 UTC754 viewsread 9 September 2026

美国财政部周四拟回购至多60亿美元长债 BlockBeats消息,9月9日,美国财政部将在周四回购最多60亿美元长期国债。此前财政部表示,11月4日之前,单次长债回购规模将至少翻倍至40亿美元。(金十) ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 15:05 UTC≈1,590 viewsread 9 September 2026
Photo

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9 Sept 2026, 15:01 UTC≈1,740 viewsread 9 September 2026

⚡️Robinhood CEO回应AMC炮轰:上市公司无法控制围绕其股票创建的金融产 BlockBeats 消息,9 月 9 日,据 CNBC 报道,Robinhood CEO Vlad Tenev 回应 AMC CEO Adam Aron 对股票代币业务的批评称,公司上市后,其股票将成为可转让财产,其他金融机构应能够在无需征得发行人许可的情况下,创建参考相关股票的金融产品。 Tenev 表示,上市公司有权控制自身发行股票的权利与义务,但不能控制其他公司发行参考其股票的证券。Robinhood 股票代币由独立实体发行,并由底层股票提供支持,因此不应自动要求获得上市公司同意。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:51 UTC≈2,280 viewsread 9 September 2026

STONK新高带动,point farm capital 重回FOMO日榜首位 BlockBeats 消息,9月9日数据显示,STONK市值推升至约2.1亿美元创历史新高后,FOMO榜单排名再度变动。用户 point farm capital 重新夺回日榜第一,当前持仓资产约1057.2万美元,过去24小时账面浮盈约239.3万美元。 本轮登顶的核心收益来自STONK。该账户目前STONK仓位价值约838.2万美元,占总资产比重接近八成,累计浮盈约793.0万美元,对应收益率约1532.6%。其平均建仓市值约1170万美元。随着STONK价格继续走高,point farm capital 的账户净值正同步快速抬升。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:44 UTC≈2,380 viewsread 9 September 2026

Zcash备兑看涨策略隐含年化收益约70%,灰度主管提示风险 灰度研究主管Zach Pandl 9月9日表示,按当前波动率测算,Zcash备兑看涨期权策略的权利金收入对应隐含年化收益率约为70%,而比特币同类策略约30%。 他指出,Zcash市值仅约为比特币的1%,过去一年ZEC价格波动率平均约140%;比特币已实现年化波动率早期约125%,过去一年平均约40%,接近美国“科技七巨头”股票水平。Pandl提醒,更高潜在收益伴随更高风险,若现货跌幅超过权利金,备兑看涨策略仍会产生本金损失。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:37 UTC≈2,760 viewsread 9 September 2026

美司法部打击Xinbi诈骗服务市场,查封5200万美元加密资产 BlockBeats 消息,9 月 9 日,据美国司法部公告,司法部诈骗中心打击工作组与财政部针对 Xinbi Guarantee 采取协调执法行动,单日查封及限制处置逾 5200 万美元加密资产,使该工作组累计限制处置的资产规模达到约 9. 38 亿美元。Tether 为本次调查提供了主动协助。 司法部指控,Xinbi 是一个主要通过 Telegram 运营的非法诈骗服务市场,为诈骗团伙提供定制投资诈骗网站、洗钱服务,并招募人口贩运受害者前往东南亚诈骗园区工作。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:31 UTC≈2,820 viewsread 9 September 2026

Bubblemaps:LAPTOP主要持币地址多为新钱包,60%此前无链上活动 BlockBeats 消息,9 月 9 日,Bubblemaps 发文披露,LAPTOP 的主要持币地址中,多数为新近创建或注资的钱包,其中 60% 的地址在本次出现前没有任何链上交互记录。所谓“新钱包”,指过去 10 天内才获得资金的地址;而上述大部分地址的资金,均在今日才到账。其调查细节与原始数据见原文链接。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:24 UTC≈2,940 viewsread 9 September 2026

MetaMask宣布独立运营:Consensys Software更名为MetaMask,资产私钥不受影响 BlockBeats消息,9月9日,MetaMask发文宣布,即日起作为独立公司开启新发展阶段。原MetaMask所属的Consensys Software Inc.将更名为MetaMask,并全面聚焦消费者平台;包括Linea在内的协议及机构基础设施业务将组建新公司,继续沿用Consensys名称。 MetaMask表示,此次调整不会影响现有用户,其应用、资产、私钥及访问权限均保持不变,用户无需采取任何操作。未来公司将集中资源发展MetaMask,推动其从加密钱包扩展为可供用户持有、消费、交易及增值资金的平台,并将这一定位称为“开放货币”。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:20 UTC≈2,970 viewsread 9 September 2026

交易员900美元狙击LAPTOP获利超25万美元 据 Lookonchain 监测,9 月 9 日,某交易员花费 900 枚 USDC,以 0.40 美元单价买入 2268.56 枚 LAPTOP,随后以约 111 美元均价全部卖出,获得 251,270 枚 USDC,回报约 278 倍。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:10 UTC≈3,030 viewsread 9 September 2026

Consensys拆分MetaMask为独立公司 9月9日,据《财富》报道,Consensys将进行企业拆分:MetaMask作为独立公司运营,专注钱包及消费金融服务;另一家实体继续使用Consensys名称,主营协议与机构级以太坊软件。 创始人Joe Lubin出任MetaMask公司CEO,同时担任新Consensys执行董事长;长期高管Mike Kriak领导Consensys。Lubin称拆分原因之一是MetaMask消费者业务价值增速高于公司其他业务。目前暂未披露两家公司的IPO时间表及MetaMask发币计划。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

9 Sept 2026, 14:08 UTC≈3,060 viewsread 9 September 2026

PayPal 推出 PYUSDx,助企业发行定制稳定币 首批接入的 Saturn、Concrete、Cap 三家加密公司,已通过 PayPal 新平台合计处理超过 1 亿美元交易量。9 月 9 日,PayPal 正式上线定制稳定币开发平台 PYUSDx,允许企业发行以 PayPal USD(PYUSD)为支持资产的定制稳定币。 该平台由稳定币技术公司 M0 与加密支付公司 MoonPay 协助搭建,体系内代币由 MoonPay Digital Assets Ltd. 发行,结合 M0 的通用稳定币技术及 MoonPay 的发行分销基础设施。USD.AI 和 Fairblock 也计划通过该平台推出稳定币。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

Showing the 12 most recent of 1,256 posts we hold for @jmhb1. 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.

Mentions

Named by 10 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.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“加密货币crypto资讯” (@jmhb1), 31,397 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/jmhb1.

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.