Telegram RegisterThe public register of Telegram

Channel

加密货币crypto资讯

@jmhb1

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

26,512subscribers

-3,158 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
Description🌍 联盟导航 @LM667788 💎 商务合作 @yh184 BTC|ETH|Crypto|Web3 市场热点、链上动态、情绪变化 一起看看这个圈子每天在发生什么
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/jmhb1

Growth

26,51229,67028,0917 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 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net -3,158. 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 26,038–30,144 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 12:2726,512-426
13 Aug 2026, 00:4626,938-1,762
11 Aug 2026, 22:5428,700+710
11 Aug 2026, 02:0227,990-210
10 Aug 2026, 04:5228,200-527
9 Aug 2026, 03:5228,727-627
8 Aug 2026, 00:5029,354-316
7 Aug 2026, 05:1629,670first reading

Engagement

323 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.40%
avg views ÷ 26,512 subscribers
Avg views / post
2,490
323 posts measured
Reaction rate
0.034%
reactions ÷ views · ER floor
Posts in window
323
of 323 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 323 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 14 August 2026
Posts held323 (7 August 202614 August 2026)
Views total805,304
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 15:37 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
295
Videos
70
Links
1,010

Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 42s
Average length
11s

Measured directly from 9 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 323 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 323 most recent posts we hold, published 7 August 2026 to 14 August 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

14 Aug 2026, 15:33 UTC481 viewsread 14 August 2026

StablecoinX披露持有ENA总供应量20%,价值超2.5亿美元 StablecoinX发布了上市后首份财报,截至二季度末持有约30亿枚ENA,占总供应量两成,价值超过2.5亿美元。消息一出,公司股价早盘大涨12%。这说明ENA被上市公司大量持有,筹码集中度提升,对ENA是偏利好信号,但公司因持仓减值出现亏损,后续价格波动可能加大。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 15:20 UTC≈2,130 viewsread 14 August 2026

沙特主权基金披露持有1.54亿股SpaceX股票 美国证交会文件显示,沙特公共投资基金持有1.541亿股SpaceX A类股。主权基金重仓科技资产,反映全球资本风险偏好回升,对加密市场情绪是间接偏积极的信号。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 15:13 UTC≈2,190 viewsread 14 August 2026

SK集团会长就天价离婚案上诉,韩国财阀治理再引关注 崔泰源对法院判决不服,决定上诉,这起天价离婚案又要拖下去了。虽然跟加密市场没有直接关系,但作为韩国顶级财阀的纠纷,可能会影响当地投资者情绪,间接波及风险资产走势。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 15:11 UTC≈2,230 viewsread 14 August 2026

美联储9月加息概率降至30.6%,流动性压力预期缓解 最新数据显示,美联储9月维持利率不变的概率为69.4%,加息25基点的概率只有30.6%。此前美国7月零售销售意外下滑,让交易员进一步缩减加息押注。对加密市场来说是偏暖信号:利率压力变小,资金风险偏好有望回升。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 15:05 UTC≈2,220 viewsread 14 August 2026
Photo

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14 Aug 2026, 14:59 UTC≈2,260 viewsread 14 August 2026

BTC期权恐慌情绪减弱,6-7万美元成关键博弈区间 比特币期权市场显示,大家短期没那么慌了,下行保护的需求也在减少。但仓位正慢慢集中到6万到7万美元这个区间,多空都在等方向。接下来往哪边突破,可能就决定短期走势。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 14:51 UTC≈2,260 viewsread 14 August 2026

Upbit母公司Q2营业利润暴跌73%,交易冷清是主因 Upbit运营商Dunamu公布二季度业绩,营收和利润环比都明显下滑,其中营业利润直接缩水七成多。公司说主要原因是全球数字资产市场流动性收缩、投资者情绪走弱。韩国最大交易所的交易量在降温,侧面反映散户资金正在撤退。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 14:47 UTC≈2,290 viewsread 14 August 2026

美光推出2.5亿美元AI基金,押注AI全栈投资 美光科技宣布成立2.5亿美元的AI投资基金,主要投向模型架构、算力和物理AI。这是美光创投迄今最大的一支基金,说明传统芯片巨头在加码AI基础设施。对加密市场来说,AI赛道相关项目可能受到情绪提振,尤其是和算力、去中心化AI相关的代币。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 14:39 UTC≈2,320 viewsread 14 August 2026

特朗普马斯克关系修复,但回不到从前——加密市场潜在风向标 据福布斯报道,两人去年决裂后,现在大约每月通话一次,主要聊AI和国际事务。虽然关系缓和,但特朗普也承认再也回不到从前。对加密市场来说,马斯克重回政治核心圈,可能影响后续监管风向和科技政策,值得留意。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 14:22 UTC≈2,320 viewsread 14 August 2026

美国消费者信心三个月来首次下滑,通胀预期再度升温 最新调查显示,8月消费者信心指数跌到51,比预期还低,大家对商业前景和物价上涨更担心了。加上7月零售销售也大幅下滑,说明家庭在收缩开支。对加密市场来说,通胀担忧可能推迟降息预期,压制风险资产表现,短期情绪偏谨慎。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 14:20 UTC≈2,320 viewsread 14 August 2026

美股创新高引发错失恐惧,机构加码看涨期权 美股一直涨,机构怕踏空,正在大举买入看涨期权上车。同时防跌保护变便宜,也有人花2000多万美元买暴跌对冲。整体市场风险偏好回升,这种情绪可能外溢到加密市场,短线偏利好。 ✅ 加密货币资讯频道 @jmhb1 🌐 联盟导航 @LM667788 🐖 商务合作 @yh184

14 Aug 2026, 14:14 UTC≈2,350 viewsread 14 August 2026

SK海力士上半年投资激增70%,AI存储需求持续爆发 韩媒报道,SK海力士上半年设备投资支出超18万亿韩元,同比大涨72.7%,研发投入也 nearly 翻倍。核心原因就是AI专用存储需求太猛,公司正在拼命扩产。对加密市场来说,这强化了AI算力相关叙事,AI赛道代币可能受情绪带动。 ✅ 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 323 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.

Citation-graph rank

Citation-graph rank — 259,763 of 1,345,403entries 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.

Mentions

Named by 8 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“加密货币crypto资讯” (@jmhb1), 26,512 subscribers as measured 14 August 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.