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Telegram profile photo for 强大的红牛社区.china 🇨🇳📈

Channel

强大的红牛社区.china 🇨🇳📈

@ChinaPump

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

12,489subscribers

+6,262 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-1001311645737
TypeChannel
Username@ChinaPump
Description我们是一个大型红牛社区,始终将客户信任放在首位 这里的所有项目都是研究,总是在投资之前学习 成长壮大 📈🔥 管理 @kingdout888 https://x.com/ChinaPumpCN
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 live11 November 2026
Measurements held47
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ChinaPump

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 the other topics.

Growth

5,95712,8119,3847 August 2026 — 6,227 subscribers7 August 2026 — 6,222 subscribers10 August 2026 — 6,146 subscribers13 August 2026 — 6,103 subscribers16 August 2026 — 6,062 subscribers20 August 2026 — 5,957 subscribers23 August 2026 — 8,490 subscribers26 August 2026 — 8,465 subscribers29 August 2026 — 8,454 subscribers1 September 2026 — 8,402 subscribers4 September 2026 — 8,390 subscribers10 September 2026 — 12,811 subscribers12 September 2026 — 12,796 subscribers13 September 2026 — 12,789 subscribers15 September 2026 — 12,782 subscribers17 September 2026 — 12,771 subscribers25 September 2026 — 12,753 subscribers4 October 2026 — 12,701 subscribers8 October 2026 — 12,659 subscribers13 October 2026 — 12,642 subscribers14 October 2026 — 12,637 subscribers15 October 2026 — 12,629 subscribers16 October 2026 — 12,623 subscribers17 October 2026 — 12,619 subscribers18 October 2026 — 12,614 subscribers19 October 2026 — 12,615 subscribers20 October 2026 — 12,609 subscribers21 October 2026 — 12,602 subscribers22 October 2026 — 12,595 subscribers24 October 2026 — 12,591 subscribers25 October 2026 — 12,587 subscribers26 October 2026 — 12,584 subscribers27 October 2026 — 12,580 subscribers28 October 2026 — 12,577 subscribers29 October 2026 — 12,567 subscribers30 October 2026 — 12,562 subscribers31 October 2026 — 12,559 subscribers1 November 2026 — 12,550 subscribers1 November 2026 — 12,546 subscribers2 November 2026 — 12,539 subscribers3 November 2026 — 12,538 subscribers4 November 2026 — 12,531 subscribers5 November 2026 — 12,520 subscribers7 November 2026 — 12,511 subscribers8 November 2026 — 12,506 subscribers9 November 2026 — 12,499 subscribers11 November 2026 — 12,489 subscribers12,4897 August 202611 November 2026
47 measurements spanning 96 days, net +6,262. 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 4,929–13,839 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
11 Nov 2026, 06:4912,489-10
9 Nov 2026, 14:5612,499-7
8 Nov 2026, 05:5912,506-5
7 Nov 2026, 03:0512,511-9
5 Nov 2026, 23:5712,520-11
4 Nov 2026, 21:1712,531-7
3 Nov 2026, 23:0112,538-1
2 Nov 2026, 21:3912,539-7
1 Nov 2026, 23:4712,546-4
1 Nov 2026, 01:3812,550-9
31 Oct 2026, 02:5112,559-3
30 Oct 2026, 03:4912,562-5
29 Oct 2026, 05:5112,567-10
28 Oct 2026, 01:3712,577-3
27 Oct 2026, 01:5512,580-4
26 Oct 2026, 01:3612,584-3
25 Oct 2026, 04:1012,587-4
24 Oct 2026, 01:0012,591-4
22 Oct 2026, 22:2812,595-7
21 Oct 2026, 18:0112,602first reading

Engagement

184 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.39%
avg views ÷ 12,489 subscribers
Avg views / post
298
64 posts measured
Reaction rate
3.24%
reactions ÷ views · ER floor
Posts in window
125
of 184 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 4 of 64 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 12 November 2026
Posts held184 (3 August 2026 – 12 November 2026)
Views total19,080
Reactions total74
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 20:48 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
≈3,140
Videos
≈84
Links
≈2,000

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Reaction mix

147 reactions across 31 posts, in 12 distinct kinds. The most used accounts for 23.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉3423.1%
❤2517.0%
💯2315.6%
🏆1912.9%
🔥1912.9%
👍85.44%
👏74.76%
🤩42.72%
👾32.04%
🌚21.36%
🦄21.36%
👀10.68%

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 31 of the 184 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 147 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 184 most recent posts we hold, published 3 August 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 4 of 125 posts held from the last 30 days (3.20%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 17:53 UTC1 viewsread 12 November 2026
Photo

🔥 INSIGHT: @AccountableData 构建私有网络,帮助机构识别潜在借贷风险 加密借贷机构需要更清晰地了解共同借款人的风险敞口,同时又不能泄露敏感财务数据。这正是 @AccountableData CEO @WojtekP 在 Chapter 2 中重点介绍的方向。 目前已有超过 60 家机构使用该平台,能够在不公开隐私信息的情况下,证明自身持有的资产与承担的负债。 新阶段将通过私有网络连接这些机构,让两家贷款方能够发现自己是否向同一借款人提供了贷款,从而更早识别重叠风险,避免风险在市场中进一步扩散。 Vaults V2 还允许机构通过现成模板,在链上推出贷款和基金产品,降低产品部署的复杂度。 目前,Accountable Vaults 已覆盖超过 10 条区块链,包括 @monad、@arbitrum 和 @avax。 其核心方向是实现机构级透明度,同时保护商业隐私,为 DeFi 带来更完善的风险…

12 Nov 2026, 09:29 UTC1 viewsread 12 November 2026
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🔥 INSIGHT: $BTC ETF 资金流出压力正在减弱 美国现货比特币 ETF 已连续四个交易日出现资金净流出,但每日流出规模持续收窄,机构抛售压力可能正在降温。 🔴 11月5日:流出 4.31 亿美元 🔴 11月6日:流出 4.12 亿美元 🟠 11月9日:流出 2.01 亿美元 🟡 11月10日:流出 9500 万美元 最新数据表明,资金撤出速度明显放缓,但目前仍未转为净流入。与此同时,面对高于预期的 CPI 数据,$BTC 过去24小时跌幅不足 1%,表现出一定韧性。 接下来值得关注的是,ETF 流出能否继续收窄,并最终重新转为净流入。@FarsideUK

12 Nov 2026, 08:36 UTC2 viewsread 12 November 2026
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🔥 INSIGHT: 刚接触 @Monad?先了解 $MON DeFi 生态,再开始探索 Monad 的 $MON 生态正在不断扩展,越来越多 DeFi 和链上金融应用开始加入网络。 从代币兑换、$MON 流动性质押,到借贷以及代币化股票交易,用户现在拥有更多参与网络的方式。 不过,进入一个新生态不能盲目操作。了解每个应用的功能、流动性机制,以及不同策略背后的风险非常重要。 一份实用指南可以帮助新用户熟悉 @Monad 的应用版图,发现值得了解的协议,并掌握不同 DeFi 服务之间的联系。 无论是去中心化交易所、质押平台、借贷市场,还是代币化资产,先了解基础知识,才能更有效地探索整个生态。

12 Nov 2026, 08:01 UTC2 viewsread 12 November 2026
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🔥 WATCH: $XRP 大户持续增持,市场回调约 30% 仍未停止 尽管整个加密市场面临抛售压力,@XRP 的大额持有者数量却呈现出相对积极的趋势。 根据 @santimentfeed 的数据,持有至少 10,000 枚 $XRP 的钱包数量已增加至约 343,500 个。 过去九个月,这类钱包新增 16,815 个,增幅达到 5.15%。值得注意的是,同期 $XRP 在短短七周内下跌了约 30%。 这, 趋势表明,即使市场情绪承压,大额持有者群体仍在扩大。不过,钱包数量增加并不, 定代表净买入,也需要结合实际资金流向判断。 Santiment 将 1 美元视为接下来值得关注的关键价位。$XRP 在这, 水平附近的表现,可能为 XRP 生态及整个加密市场的下, 步走势提供重要信号。

12 Nov 2026, 07:29 UTC1 viewsread 12 November 2026
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🔥 TODAY: @Telcoin 将于 12 月 2 日启动 $TEL 主网创世 @Telcoin 的 $TEL 主网启动进入倒计时,网络创世启动时间已定为 12 月 2 日,面向公众的正式开放预计将在 12 月中旬进行。 在此之前,团队计划于 11 月 16 日冻结代码,这将成为主网上线前的重要里程碑。 Telcoin Association 创始人 Parker Spann 与顾问 David Palmer 近期向硅谷 Telecom Council 介绍了平台的三大核心组成部分: - 专为电信运营商打造的区块链网络。 - 支持多种货币的稳定币体系,将数字资产与日常支付连接起来。 - 基于手机的身份验证基础设施。 项目的整体愿景是让电信网络与区块链技术深度结合,为用户提供数字支付及金融服务。 随着代码冻结日期临近,主网创世启动仅剩数周,12 月或将成为 $TEL 生态发展的重要节点。

12 Nov 2026, 02:09 UTC2 viewsread 12 November 2026
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🔥 INSIGHT: PANCAKESWAP 累计交易量突破 4.5 万亿美元 @PancakeSwap 再次创下重要里程碑。自 2020 年上线以来,平台累计交易量已经突破 4.5 万亿美元。 其中大部分交易活动来自 @BNBChain,但 PancakeSwap 持续拓展多链布局,其他生态的交易量也为这增长作出了贡献。 目前其多链覆盖范围包括: - @Monad $MON - @Aptos $APT - @arbitrum $ARB - @Arc - @RobinhoodCrypto 这数据体现了 PancakeSwap 从单链 DEX 向多链交易平台的转变。 随着更多网络接入其流动性与交易基础设施,未来的重点将是维持交易活跃度,并进步扩大其在 DeFi 市场中的影响力。

Showing the 12 most recent of 184 posts we hold for @ChinaPump. 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.

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 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.

Named by

Channels on the register whose posts name this channel's handle.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“强大的红牛社区.china 🇨🇳📈” (@ChinaPump), 12,489 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ChinaPump.

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.