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Channel

星辰观察站

@web2star

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,168subscribers

+262 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001897617940
TypeChannel
Username@web2star
DescriptionWeb3加密市场、美股、金融投资,理财,金融知识; 仅供参考
CreatedBetween 1 November 2022 and 31 July 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/web2star

Growth

7,9068,1688,0376 August 2026 — 7,906 subscribers6 August 2026 — 7,906 subscribers6 August 2026 — 7,907 subscribers9 August 2026 — 7,951 subscribers12 August 2026 — 7,988 subscribers15 August 2026 — 8,016 subscribers17 August 2026 — 8,052 subscribers21 August 2026 — 8,117 subscribers25 August 2026 — 8,168 subscribers6 August 202625 August 2026
9 measurements spanning 19 days, net +262. 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 7,867–8,207 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 00:238,168+51
21 Aug 2026, 09:358,117+65
17 Aug 2026, 22:438,052+36
15 Aug 2026, 07:468,016+28
12 Aug 2026, 01:567,988+37
9 Aug 2026, 00:537,951+44
6 Aug 2026, 05:407,907+1
6 Aug 2026, 03:457,906no change
6 Aug 2026, 03:397,906first reading

Engagement

166 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.86%
avg views ÷ 8,168 subscribers
Avg views / post
234
166 posts measured
Reaction rate
0.386%
reactions ÷ views · ER floor
Posts in window
166
of 166 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 36 of 166 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 25 August 2026
Posts held166 (5 August 202625 August 2026)
Views total38,776
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 02:18 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
12,700
Videos
506
Links
2,310

Lifetime counters from Telegram’s own channel header, read 25 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
14m 49s
Average length
1m 21s

Measured directly from 11 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

40 reactions across 29 posts, in 6 distinct kinds. The most used accounts for 47.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1947.5%
👍1537.5%
🤡37.50%
👎12.50%
😎12.50%
🤮12.50%

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 36 of the 166 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 166 most recent posts we hold, published 5 August 2026 to 25 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

25 Aug 2026, 01:19 UTC52 viewsread 25 August 2026
Photo

一图秒懂神级技术,缠论 缠论的创始人是A股的操盘手,打造了亿安科技,这只市场上的首只百元股 有传言他是中华人民共和国的开国上将李天佑之孙 如今,缠论无处不在,所有交易员都在看,都在用。 其核心如下 ❚ 走势类型 市场走势严格分为上涨、下跌、盘整三种基本类型,任何复杂走势均可分类,便于识别趋势方向。 ❚ 笔与线段 笔是最小走势单位,由K线组合成严格的锯齿形;线段由至少三笔构成,简化走势结构,避免主观判断。 ❚ 中枢定义 中枢是走势的核心,由至少三段次级别走势重叠区间形成,代表价格重心与平衡区,决定走势级别。 ❚ 背驰原理 走势力度减弱时出现背驰(如MACD柱子缩短),预示转折;用于判断买卖点,强调力度而非价格。 ❚ 走势终完美 所有走势必有开始与结束,结合中枢扩展或破坏,实现完美;指导操作严格在级别内,避免跨级错误。 金融/币圈|出海赚美金|优质资源|优质信息

25 Aug 2026, 01:00 UTC62 viewsread 25 August 2026

#频道互推 沙雕日常图鉴 星辰观察站 互联网研习社(破解软件/游戏 | 实测) 草台班子世界 优秀設計分享 优质「资源」收藏夹 烫手热知识 🍉 每日吃瓜【人间观察实录】 Resource Hub/资源库/Хранилище 公益破解辅助直装资源分享 ──── 💡 互推: @jxht_bot

24 Aug 2026, 14:41 UTC218 viewsread 25 August 2026

去年8月25号:3883 今年8月24号:3882 指数没动,大家账户的钱应该都在吧

24 Aug 2026, 14:21 UTC229 viewsread 25 August 2026
Photo

目前看,美国财政部确定自己进场接盘了,拿自己的现金从市场上买回美债,这印证了此前野村的预测。 美国财政部被曝,正考虑动用规模接近 1 万亿美元的政府活期账户 TGA,为其扩大美债回购计划,提供资金支持,等于把现金重新投放回金融体系。 这条消息也让黄金、比特币受到刺激。 @web2star

24 Aug 2026, 14:21 UTC225 views1 reactionsread 25 August 2026

回顾历史,很多加密交易所都不是熊市暴雷,而是熊市结束后的牛初,为了补窟窿或生存下去,他们在熊市低点时,抛售了资产,挪用了资金。 然后当牛市复苏,资产回涨时,它们又没有资金去买回当初低点抛售的资产。最终无法面对挤兑,或竞争对手投入更多的预算抢占市场。 @web2star

1

24 Aug 2026, 14:21 UTC208 viewsread 25 August 2026
Photo

因为宇树持续下跌,导致今天都在传的那篇 IPO 收紧小作文,晚间财联社获得了权威人士消息。 交易所确有向券商沟通,但核心是针对近期申报项目,质量好坏不一的问,已经约谈各保荐机构,别为了抢时间,什么公司都报上去申请上市。 @web2star

24 Aug 2026, 14:21 UTC186 viewsread 25 August 2026
Photo

太抽象了,因宣称马来人能飞,教授被大学解聘。 马来的国际伊斯兰大学,近期发表声明,表示此前宣称马来人能飞、马来人曾教中国人轻功的语言学教授 Solehah,早已于 4 月 27 日被解除职务。 该学者,因发表多次关于古代马来文明的个人观点,而在网上走红。 @web2star

24 Aug 2026, 12:15 UTC206 viewsread 25 August 2026
Photo

能控制情绪的人,才能控制账户 很多人以为交易是在和市场较量, 其实更多时候,是在和自己的情绪对打。 新手阶段:贪婪、侥幸、急躁。 想一口吃下整段行情, 亏了却舍不得止损,总觉得“它会回来”。 半瓶水阶段:从众、自负、恐惧。 学了点技术就开始跟群、跟单, 信心满满进场,错了又不敢再动。 自以为成熟阶段:懒惰、浮躁。 不复盘、不学习, 以为自己已经看透市场,结果被新行情教育。 交易走到最后, 拼的其实是4件事: ① 控制情绪,避免冲动交易 ② 接受风险,严格止损与仓位 ③ 用计划决策,而不是靠感觉 ④ 认清自己,找到适合的交易节奏 市场只是放大器, 把你的贪婪、恐惧、侥幸全部照出来。 能控制情绪的人,才能控制账户。 金融/币圈|出海赚美金|优质资源|优质信息

24 Aug 2026, 10:38 UTC237 viewsread 25 August 2026
Photo

大宗商品涨价顺序,收藏家们请存好! 核心逻辑:金融属性工业属性能源消费属性民生刚需属性 经济周期:避险复苏通胀滞胀 黄金→白银→铜→铝→钢铁→原油→化工品→农产品 第一阶段:金融预期先行(贵金属领涨) 核心:黄金白银(黄金领先1-2月)驱动:货币宽松,地缘风险,信用风险 黄金为无风险资产,通胀对冲意义:市场预期反应,实体未复苏。 第二阶段:工业需求确认(工业金属接棒) 核心:铜铝钢铁铅锌(铜领先,铜博士) 驱动:实体复苏,工业补库,基建制造启动。铜广泛应用意义:确认实体复苏,牛市实质阶段。 第三阶段:能源成本传导(能源化工崛起) 核心:原油天然气/煤炭化工品(乙烯/塑料等) 驱动:工业全面回暖,能源消费激增,供给约束,化工品 因原料涨价 意义:通胀向中游扩散,全面扩张。 第四阶段:民生终端扩散(农产品收尾) 核心:大豆/玉米/小麦棉花/糖油脂 驱动:能源推高农业成本(化肥/运输),极端天气,终端需求升 意义:通胀渗入民生,牛市尾

24 Aug 2026, 10:11 UTC220 viewsread 25 August 2026
Photo

没想到给 Anthropic 上市前冲击的,是这组数据。 Ramp 收集了 7 万家企业数据,发现在 Claude 推出了表现最强的 Fable 5 后,大多数企业,仍愿意采购便宜的旧模型,不愿多花钱为新模型付费。 这导致 Fable 5 上线两个多月后,只占客户在 Anthropic 总支出的约 11%,大幅低于投资人预期。 @web2star

24 Aug 2026, 08:31 UTC238 views0 reactionsread 25 August 2026
Photo

2026年二季度全国地产物业摘要 分化是主旋律:优质资产(核心区位、高运营能力、高入住率)率先企稳甚至回升(如香港中环、上海优质项目),非核心资产持续承压。 新动能是增量来源:AI、中企出海、游戏、新消费、智能硬件、入境消费等持续为办公楼、零售、物流、酒店各业态注入需求。 租金普遍仍在筑底:办公楼、零售、物流租金整体下行但跌幅收窄;香港、台北办公楼租金已回升。 下半年供应压力再起:多数城市下半年新增供应集中(北京70万㎡、广州办公楼近60万㎡、广州物流110万㎡等),空置率短期或承压。 报告:大中华区2026年二季度物业摘要 格式:电子版PDF 页数:36 发布时间:2026.8 @web2star

Showing the 12 most recent of 166 posts we hold for @web2star. 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 — 209,056 of 1,602,822entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 12 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 25 August 2026 — this entry's latest reading, not the date you are reading this.

“星辰观察站” (@web2star), 8,168 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/web2star.

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.