区块链币圈实时资讯 pinned «💎奇闻猎奇 🌟社会百态 🌟经济视角💎 🔹东南亚华人社区出海交流 🔹柬埔寨华人社区 · 大事件频道 🔹全球新闻头条/吃瓜/曝光 🔹在线视频 麻豆精选 AV女优 🔹国产av-宅男福利收藏家 🔹东南亚大事件新闻曝光 🔹芊芊音乐 个人音乐频道 🔹芊芊电影 最新电影频道 🔹TG中文导航精品资源导航 🔹区块链币圈实时资讯 🔹《天香坊》全球包养选妃频道»

Channel
区块链币圈实时资讯
@CN_BNBPool58
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
71subscribers
-1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003075001311 |
|---|---|
| Type | Channel |
| Username | @CN_BNBPool58 |
| Created | 29 August 2025 — measured — dated from the channel’s first post |
| First recorded | 9 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/CN_BNBPool58 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 11:56 | 71 | -1 |
| 9 Aug 2026, 22:46 | 72 | no change |
| 9 Aug 2026, 09:15 | 72 | first reading |
Engagement
18 posts held, back to 29 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 13 September 2025. An engagement rate over an empty window would be a number about nothing.
Recent posts
💎奇闻猎奇 🌟社会百态 🌟经济视角💎 🔹东南亚华人社区出海交流 🔹柬埔寨华人社区 · 大事件频道 🔹全球新闻头条/吃瓜/曝光 🔹在线视频 麻豆精选 AV女优 🔹国产av-宅男福利收藏家 🔹东南亚大事件新闻曝光 🔹芊芊音乐 个人音乐频道 🔹芊芊电影 最新电影频道 🔹TG中文导航精品资源导航 🔹区块链币圈实时资讯 🔹《天香坊》全球包养选妃频道
#新闻资讯 : 在马来西亚,房产买卖或转让有着明确且严格的税务申报规定。 房产交易后,必须在60天内通过MyTax网站申报房地产增值税(RPGT) ,以此处理相关税务事宜。 若未能按时申报,将会面临法律惩处。马来西亚税收局房地产税务组首席助理主任阿兹曼莫哈末强调,对此若置之不理,当局有权起诉,最高罚款5000令吉,还可能面临最长12个月的监禁,或两者并罚。 征收RPGT有着重要目的,既能增加国家财政收入,又能提升公众纳税意识,更关键的是抑制房地产市场的投机行为。由于房地产交易金额大且炒房现象频繁,所以资本增值在此不能豁免征税。 许多刚需购房者因炒房行为被迫承受高价购房之苦,房地产增值税成为稳定房市、帮助民众的必要手段。 其税率根据房产持有年限和卖方类别而定,像个人持有房产前3年出售税率高达30%,后续随持有时间增长税率降低,第6年起则无需征收。不同主体的税率详情可浏览内陆税收局官网。
#OKB 由8600万枚直接销毁6500万枚,保留2100万固定量, 瞬间翻一倍😱
分析师:不断增长的货币供应量可能会年底前将比特币推高至13.2万美元以上 【分析师:不断增长的货币供应量可能会年底前将比特币推高至13.2万美元以上】币圈币圈报道,美国联邦债务已达到创纪录的37万亿美元,不断上升的赤字和潜在的货币供应量增长可能支撑比特币价格在年底前上涨至13.2万美元。分析师表示,不断膨胀的赤字最终可能促使货币政策更加宽松,包括量化宽松政策。量化宽松是指各国央行大规模购买债券,向金融系统注入流动性。 比特币支持者认为,不断增长的货币供应量和日益加剧的通胀担忧,可能导致人们重新认识到比特币的货币稀缺性,从而将全球首个加密货币推向历史新高。Real Vision 首席加密分析师 Jamie Coutts估计,基于与 BTC 的相关性,不断增长的货币供应量可能会在 2025 年底之前将比特币的价格推高至 132,000 美元以上。
今日恐慌与贪婪指数升至75,等级仍为贪婪 【今日恐慌与贪婪指数升至75,等级仍为贪婪】东大报道,今日恐慌与贪婪指数升至75,等级仍为贪婪。注:恐慌指数阈值为0-100,包含指标:波动性(25%)+市场交易量(25%)+社交媒体热度(15%)+市场调查(15%)+比特币在整个市场中的比例(10%)+谷歌热词分析(10%)。
【东大午报 | 8月14日午间重要动态一览】7:00-12:00关键词:美联储、SpaceX、Ark Invest 1.机构:美联储9月会议必将出现反对意见; 2.SpaceX持有8,285枚BTC,价值超10亿美元; 3.韩国政府加快推动加密改革,稳定币监管成重点; 4.比特币市值超越Google,全球资产市值排名升至第5位; 5.以太坊基金会:昨日卖出2794枚ETH的地址不属于基金会; 6.Ark Invest多支基金买入253.2万股BLSH,价值1.72亿美元; 7.美财长贝森特警告:日本央行落后于形势,预计将加息控通胀; 8.特朗普家族支持的矿企ABTC加速增持比特币,目前储备量达2130枚BTC。
【东大日报(08月14日)】 1、特朗普称将推动美俄乌三方会晤 2、美最大养老基金增持Coinbase等科技股 3、MetaMask或将推出美元稳定币mUSD 4、越南政府确认将推出国有加密货币交易所 5、Algorand链新增铸造1亿枚USDC 6、USDC Treasury新增铸造2.5亿枚USDC 7、QCP:美联储9月降息预期提振以太坊动能 8、FTX债权人信息疑泄露,警惕钓鱼攻击
#币安 #币安下载 #币安注册 #币安交易所 Spark (Spark.fi) 深度解析:DeFi 的稳定币流动性引擎 1. 项目定位:DeFi 的“流动性大脑” Spark 是一个基于区块链的资本分发系统,核心目标是优化稳定币流动性的使用效率,连接 DeFi 与传统金融(RWA)。它不仅是普通用户的收益工具,更是协议、DAO 和机构的流动性基础设施,管理超 40 亿美元 TVL,年化收入超 1.8 亿美元。 2. 三大核心产品 SparkLend(借贷市场): 固定利率模式(由治理决定利率),避免传统 DeFi 借贷的剧烈波动,适合大资金长期配置。 支持主流稳定币(DAI、USDC、USDT)及 ETH 等抵押资产。 Spark Savings(储蓄系统): 用户存入 USDC、DAI 等,自动兑换为 sUSDC、sDAI,获得链上收益。 资金自动分配至 Aave、Morpho、Ethena 等 DeFi 协议,以及 …
【热搜榜:WLFI 热度持续走高,24H跌21.06%】 #派币 😍 热度排行显示,WLFI 热门关注度较昨日上升18万,排名第一,热度排行如下: ① WLFI ($0.2549,-21.06%) ② W ($0.07897,-4.83%) ③ ETH ($4393.12,-1.86%) ④ SOL ($203.40,0.23%) ⑤ IP ($7.83,0.77%) WLFI 主力资金卖出力量一般,24小时净流出$1830.19万,24小时成交$79.80亿,其中主力净流出$1352.50万。
#派币 2025年9月2日 一、大盤走勢 btc下跌,山寨普跌。 美股勞動節休市,黃金大漲。 二、市場熱點: 1、bn上所somi,somnia是專注於元宇宙遊戲的l2公鏈,tps高達100萬,從a16z等機構融資2.7億美元。 2、特朗普家族項目wlfi發幣下跌,全市值220億美元。孫宇晨大量籌碼意外解鎖,項目方提議交易費回購。生態項目dolo跟跌腰斬。 3、盤前交易的xpl、linea暴跌
区块链币圈实时资讯 pinned «💎奇闻猎奇 🌟社会百态 🌟经济视角💎 📝投稿人:小玄 🔹柬埔寨华人社区 · 大事件频道 🔹全球新闻头条/吃瓜/曝光 🔹在线视频 麻豆精选 AV女优 🔹国产av-宅男福利收藏家 🔹东南亚大事件新闻曝光 🔹芊芊音乐 个人音乐频道 🔹芊芊电影 最新电影频道 🔹TG中文导航精品资源导航 🔹区块链币圈实时资讯 🔹《天香坊》全球包养选妃频道»
Showing the 12 most recent of 18 posts we hold for @CN_BNBPool58. 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 — 1,000,326 of 1,481,306entries 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 3 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@CN_BNBPool58 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 3 posts, 10 August 2026 – 10 August 2026
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“区块链币圈实时资讯” (@CN_BNBPool58), 71 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/CN_BNBPool58.
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.