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Channel

加密币BTC,ETH——行情分析

@linghangshidai

On this record: Growth · Engagement · Posts · Cite this entry

85subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002133662956
TypeChannel
Username@linghangshidai
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live29 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 29 August 2026
On Telegramt.me/linghangshidai

Growth

8385847 August 2026 — 84 subscribers9 August 2026 — 84 subscribers16 August 2026 — 83 subscribers23 August 2026 — 85 subscribers7 August 202623 August 2026
4 measurements spanning 16 days, net +1. 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 83–85 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 17:0985+2
16 Aug 2026, 19:1983-1
9 Aug 2026, 17:1784no change
7 Aug 2026, 11:1584first reading

Engagement

20 posts held, back to 5 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 85 subscribers
Avg views / post
10.8
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held20 (5 August 20268 August 2026)
Views total215
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 17:17 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.

Recent posts

8 Aug 2026, 02:38 UTC7 viewsread 9 August 2026
Photo

币圈方面:1. 据 监测显示,贝莱德本周累计增持 7320 枚 BTC,价值约 4.785 亿美元,今日其 IBIT ETF 从 Coinbase Prime 提取 1840 枚 BTC,均价64619价值约 1.189 亿美元 2. Morgan Stanley 旗下 MSBT Bitcoin ETF 在 3 小时前从 Coinbase Prime 提取 232.55 枚 BTC,均价64717价值约 1505 万美元 3. 据 监测,Coinbase Pro 交易所出现大额资金流动。过去 24 小时,该交易所钱包流出 2686 枚 BTC,价值 2.69 亿美元 4. 据监测沉睡三年 ETH 巨鲸苏醒,向 Kraken 充值 7323 枚ETH均价1906价值 1396 万美元 市场方面:1美国7月季调后非农就业人口减少2.3万人,预期增加8万人,前值由增加5.7万人修正为增加2万人;美国7月失业率为4.1%,预期

7 Aug 2026, 13:01 UTC10 viewsread 9 August 2026

8月7日,美国利率期货市场对美联储9月加息的预期概率有所下降。

7 Aug 2026, 12:32 UTC10 viewsread 9 August 2026

美国 7 月失业率为 4.1%,预期值为 4.2%,前值为 4.20%。

7 Aug 2026, 02:43 UTC10 viewsread 9 August 2026
Photo

币圈方面:过去 24 小时内,共有 7067 枚 BTC 流出交易所钱包,价值 7.07 亿美元。 市场方面:1. 8月6日消息,据财联社报道,美国上周首次申领失业救济人数为19.9万人,预估为20.5万人,前值为19.7万人。 2. 据财联社报道,美国总统特朗普表示关于重新开放霍尔木兹海峡的协议尚不能说已经正式达成,但海峡目前某种程度上已经开放,美国正参与相关谈判且进展良好。美国海军正在执行针对伊朗的封锁行动并控制相关海域,水雷等安全风险仍可能影响商业船只通行。特朗普正在参与谈判,认为局势正在朝积极方向发展。 3. 8月7日消息,据美媒MS NOW报道,两位了解谈判情况的中东外交官表示,阿曼已同意与伊朗达成一项协议框架,以暂时重新开放霍尔木兹海峡。一位伊朗政府官员称,该协议将通过允许商船经由伊朗控制的航线进入波斯湾、再经由阿曼控制的航线驶出,来建立新的航运通道。据该伊朗官员称,该协议不包括向寻求安全通过水道的商船收取通行费

Showing the 12 most recent of 20 posts we hold for @linghangshidai. 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.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“加密币BTC,ETH——行情分析” (@linghangshidai), 85 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/linghangshidai.

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.