AggrNews: ONDO AND BLACKROCK PARTNER FOR TOKENIZED “INTELLIGENT PORTFOLIOS” AggrNews: ONDO 与 BLACKROCK 合作推出代币化“智能投资组合” ONDO MarketCap: 2.1B (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-24 20:00:09
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Channel
@BWEnews
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
72,766subscribers
-162 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001279597711 |
|---|---|
| Type | Channel |
| Username | @BWEnews |
| Description | The fastest&alpha only crypto news media, we strive to make high quality information accessiable via the globe. info&tos: https://linktr.ee/BWEnews 🚀速度最快的华语媒体没有之一 我们致力于让高质量信息传播得更加高效且免费。 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/BWEnews |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 08:01 | 72,766 | -13 |
| 15 Sept 2026, 11:16 | 72,779 | -27 |
| 13 Sept 2026, 22:39 | 72,806 | -39 |
| 12 Sept 2026, 06:16 | 72,845 | -35 |
| 10 Sept 2026, 00:39 | 72,880 | +67 |
| 6 Sept 2026, 17:35 | 72,813 | +141 |
| 4 Sept 2026, 04:37 | 72,672 | -21 |
| 2 Sept 2026, 20:03 | 72,693 | -18 |
| 1 Sept 2026, 17:33 | 72,711 | -9 |
| 31 Aug 2026, 15:14 | 72,720 | -14 |
| 30 Aug 2026, 18:19 | 72,734 | -2 |
| 29 Aug 2026, 17:26 | 72,736 | -20 |
| 28 Aug 2026, 14:27 | 72,756 | -20 |
| 27 Aug 2026, 11:45 | 72,776 | -19 |
| 26 Aug 2026, 10:47 | 72,795 | -17 |
| 25 Aug 2026, 08:22 | 72,812 | -9 |
| 24 Aug 2026, 09:06 | 72,821 | -33 |
| 22 Aug 2026, 14:26 | 72,854 | -45 |
| 21 Aug 2026, 02:07 | 72,899 | -5 |
| 20 Aug 2026, 01:26 | 72,904 | first reading |
127 posts held, back to 28 July 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 100 pages of Telegram’s post history, 20 posts per page.
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 60 of 66 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 127 (28 July 2026 – 24 September 2026) |
| Views total | 735,000 |
| Reactions total | 899 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 13:15 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.
Lifetime counters from Telegram’s own channel header, read 24 September 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.
1,358 reactions across 108 posts, in 23 distinct kinds. The most used accounts for 37.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤣 | 510 | 37.6% | |
| ❤ | 256 | 18.9% | |
| 👎 | 235 | 17.3% | |
| 👍 | 100 | 7.36% | |
| 🔥 | 97 | 7.14% | |
| 😱 | 28 | 2.06% | |
| 👏 | 19 | 1.40% | |
| 😭 | 18 | 1.33% | |
| 🥴 | 17 | 1.25% | |
| 🥰 | 14 | 1.03% | |
| 🌭 | 13 | 0.957% | |
| 😈 | 9 | 0.663% | |
| 🍌 | 7 | 0.515% | |
| 💊 | 7 | 0.515% | |
| 🐳 | 6 | 0.442% | |
| 🕊 | 5 | 0.368% | |
| 🤨 | 5 | 0.368% | |
| ⚡ | 4 | 0.295% | |
| 🤬 | 4 | 0.295% | |
| 🆒 | 1 | 0.074% | |
| 3 further kinds | 3 | 0.221% |
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 117 of the 127 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 1,376 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 127 most recent posts we hold, published 28 July 2026 to 24 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BWEnews. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 127 most recent posts we hold for this entry, published 28 July 2026 to 24 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
AggrNews: ONDO AND BLACKROCK PARTNER FOR TOKENIZED “INTELLIGENT PORTFOLIOS” AggrNews: ONDO 与 BLACKROCK 合作推出代币化“智能投资组合” ONDO MarketCap: 2.1B (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-24 20:00:09
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Binance EN: Binance Will List Hyperliquid (HYPE) with Seed Tag Applied 币安重要公告: 币安将上线 Hyperliquid (HYPE) 并打上种子标签 HYPE MarketCap: 23.4B (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-24 15:30:38 source: https://cache.bwe-ws.com/bn-2111
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Tree News: *US WEIGHS INITIATIVE TO PROMOTE DOLLAR-BACKED STABLECOIN ABROAD: BBG Tree News: 美国正权衡在海外推广美元稳定币的倡议:彭博社 ———————————— 2026-09-24 06:16:00
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Binance EN: Binance Futures Will Launch OURAUSDT USDⓈ-Margined Perpetual Contract Pre-IPO Trading (2026-09-23) 币安重要公告: 币安合约将于2026年9月23日上线 OURAUSDT USDⓈ本位永续合约盘前交易 ———————————— 2026-09-23 15:15:46 source: https://cache.bwe-ws.com/bn-2104
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Binance EN: Binance Will Close UAH Deposits and Withdrawals via Fiat Trade UAH and Delist USDT/UAH Spot Trading Pair 币安重要公告: 币安将停止通过法币交易UAH的UAH充值与提现服务,并下架USDT/UAH现货交易对 SPOT MarketCap: 102.8B PAIR MarketCap: 5.8M (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-23 15:00:00 source: https://cache.bwe-ws.com/bn-2103
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BWENEWS AI (No Accuracy Guaranteed): Pyth Network becomes an external distributor of Nasdaq Basic, integrating Nasdaq's real-time quote and trade product for U.S. equities into the Pyth Data Marketplace |source: Twitter AI自动发布(速度优先可能有误: Pyth Network 成为 Nasdaq Basic 的外部数据分发商,将纳斯达克面向美股的实时报价与交易产品整合至 Pyth 数据市场 |source: Twitter PYTH MarketCap: 498.8M (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-22 22:01:…
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BWENEWS AI (No Accuracy Guaranteed): Infosys partners with Chainlink to accelerate institutional onchain finance, leveraging infrastructure supporting over 1.7 billion global customer accounts |source: Twitter AI自动发布(速度优先可能有误: Infosys与Chainlink合作以加速机构链上金融,利用支持全球超过17亿客户账户的基础设施 |source: Twitter LINK (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-22 21:01:27 source: https://twitter.com/chainlink/status/21…
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Bitget Listing: Bitget Lists OURAUSDT Pre-IPO Perpetual | Trade Oura's Smart Ring IPO Early & Seize the Pricing Power of a Global Wearables Unicorn! Bitget上新: Bitget上线OURAUSDT盘前永续合约 | 提前交易Oura智能戒指IPO,掌握全球可穿戴设备独角兽定价权! ———————————— 2026-09-22 20:49:01 source: https://www.bitget.com/en/support/articles/12560603895865
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BWENEWS AI (No Accuracy Guaranteed): CME Group to Expand Crypto Derivatives Suite with Bitcoin Cash and Uniswap Futures - PRN: AI自动发布(速度优先可能有误: 芝商所将推出比特币现金与Uniswap期货以扩展加密衍生品组合 —— 美通社 UNI MarketCap: 7.7B BCH MarketCap: 5.4B CME MarketCap: 3.6M (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-22 20:30:10
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Binance EN: Binance Futures Will Launch MOONSHOTUSDT USDⓈ-Margined Perpetual Contract Pre-IPO Trading (2026-09-22) 币安重要公告: 币安合约将于 2026 年 9 月 22 日上线 MOONSHOTUSDT U本位永续合约盘前交易 ———————————— 2026-09-22 15:31:04 source: https://cache.bwe-ws.com/bn-2093
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Binance EN: Binance Futures Will Launch USDBRLUSDT USDⓈ-Margined TradFi Perpetual Contract (2026-09-21) 币安重要公告: 币安合约将于2026年9月21日上线USDBRLUSDT USDⓈ-M TradFi永续合约 ———————————— 2026-09-18 22:00:03 source: https://cache.bwe-ws.com/bn-2082
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Binance EN: Binance Will Support the Stargate Finance (STG) Token Merge to LayerZero (ZRO) 币安重要公告: 币安将支持 Stargate Finance (STG) 代币合并至 LayerZero (ZRO) ZRO MarketCap: 792M STG MarketCap: 153M (Auto match could be wrong, 自动匹配可能不准确) ———————————— 2026-09-18 16:30:01 source: https://cache.bwe-ws.com/bn-2078
Showing the 12 most recent of 127 posts we hold for @BWEnews. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 69 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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.
Named by 17 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“方程式新闻 BWEnews” (@BWEnews), 72,766 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/BWEnews.
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.