Channel
@ZLSbi
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
856subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002125579203 |
|---|---|
| Type | Channel |
| Username | @ZLSbi |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/ZLSbi |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 17:37 | 856 | -2 |
| 8 Aug 2026, 01:18 | 858 | no change |
| 7 Aug 2026, 21:33 | 858 | first reading |
20 posts held, back to 2 January 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 20 posts for this entry, the most recent from 19 April 2025. An engagement rate over an empty window would be a number about nothing.
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 3 of the 20 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 January 2025 to 19 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
监管焦点：SEC评估XRP商品状态 美国证券交易委员会正在权衡XRP是否更像是一种商品而不是一种证券--使用以太坊的分类作为基准。 在Ripple被罚款1.25亿美元并禁止机构XRP销售后，此次监管重新评估是在正在进行的和解谈判中进行的。 Ripple的法律团队认为，不断变化的监管方法应该会减轻对过去行为的处罚。 XRP的市场地位仍然复杂;尽管最近表现不佳，但其完全稀释后的估值现在超过了以太坊。
❤2
CLARPTO走上主流：Telegram Wallet增加交易和产量 Telegram基于TON的钱包集成增加了多种资产的交易和收益能力;该平台现在支持比特币和稳定币，同时保持自我托管原则。 简化的交易消除了主流用户获取的传统链上摩擦点;而Toncoin持有者的收益率生成功能标志着战略生态系统的承诺-USDT收益计划。 该计划还有助于Telegram的盈利能力--验证集成区块链服务的业务案例。
交易所挂牌为正在使用的彭谷代币提供临时救济 Pudgy Penguins的PENGU代币在Robinhood宣布上市后上涨10.4%。 尽管出现短期反弹，但PENGU在3月11日触及历史低点0.00515美元后，在过去一个月内仍下跌了33%。 2024年12月推出的代币市值维持了4.05亿美元，完全稀释估值接近5亿美元;同伴代币POPCAT（16%）和PNUT（8%）也出现了类似的基于列表的泵。
特朗普的市场阵痛策略可能会扭转欧佩克的命运 特朗普的经济团队正在精心策划市场动荡，以解决根本性经济问题;该战略的目标是通过故意的市场修正为9万亿美元以上的美国债务再融资;政府官员公开承认这种方法--框架经济低迷是必要的过渡。 加密资产在初始波动阶段面临与传统市场的持续相关性;流动性限制可能会放大整个数字资产格局的价格波动。 如果降息实现且美元强势继续减弱，长期利益可能会出现。
❤1
巴西将欧佩克定位为战略性金砖国家贸易解决方案 巴西作为金砖国家主席国优先考虑在国际结算中实施加密货币;该倡议的目标是加快金融交易，同时减少整个贸易集团对美元的依赖。 值得注意的是实用的方法：巴西没有追求有争议的共同货币，而是专注于利用数字国家货币和稳定币的高效支付系统。 巴西可能会提出一种类似于其国内Pix系统的模式--尽管围绕监管标准的主权担忧仍然存在。 俄罗斯外交部长拉夫罗夫确认积极发展这一“跨境支付计划”，并计划建立再保险公司和金砖国家Clear结算基础设施。
布莱克洛克大厦跨越10亿美元马克：机构RWA的采用加速 尽管市场整体低迷，贝莱德的代币化财政基金的资产规模已达到10亿美元，但短短30天内仍增长了56%。 该基金主要投资于美国国债和银行存款，APY利率约为4.5%，管理费在0.20- 0.50%之间。 拥有61名持有人，每月转移超过2.69亿美元，大量机构资本正在通过该系统流动。 这一发展与全行业RWA代币化增长保持一致，目前所有平台的总价值为183.4亿美元，一个月内增长了18%。
俄罗斯采用美国石油公司战略石油出口付款制度 俄罗斯石油公司与中国和印度实施了复杂的加密货币支付渠道，避开了受制裁影响的传统金融体系。 该交易架构涉及多个离岸账户和货币兑换--从人民币到加密货币再到卢布--由中间人管理流程。 这种转变代表着实际的适应，而不是意识形态的一致;一位交易员称加密货币是“一种方便的工具”，“有助于更快地运行运营。" 与此同时，俄罗斯央行正在采取行动，使拥有超过110万美元证券和存款的认证个人的加密投资合法化。
特朗普国家石油公司风险投资者锁定了半亿美元的战争冠军 尽管早期需求面临挑战，World Liberty Financial仍以5.5亿美元的价格完成代币销售;不可转让的WLFI代币将管理计划中的去中心化交易平台。 该项目通过代币互换交易战略性地吸引区块链团队：至少1000万美元的买入，收取10%的费用; Trump family LLC有权获得60%的股权、75%的佣金收入和价值约11亿美元的225亿个代币。 该平台的目标是在第三季度推出，完全稀释后估值为15亿美元。
机构纪律：比特币ETF留存率为95%，尽管进行了四分之一价值修正 美国现货比特币ETF表现出出色的投资者纪律--95%的人通过25%的BTC大幅修正维持头寸。 总流入已从峰值400亿美元放缓至约350亿美元，同时管理着1150亿美元的总资产。 最近的每日数据显示有选择性的资本流动：3月13日总流出1.35亿美元，只有贝莱德的IBIT吸引了4570万美元的正流入;通货膨胀指标和关税讨论等宏观因素继续影响市场情绪，比特币目前交易价格为82，970美元。 CryptoQuant的首席执行官指出，需求似乎暂时停滞，但强调目前的情况尚未预示着熊市。
破产法官严厉打击FTX，批准3AC的15.3亿美元索赔 特拉华州破产法院已授权Three Arrows Capital清算人将对FTX的索赔增加12倍以上，达到15.3亿美元。 首席法官多尔西驳回了FTX的反对意见，理由是FTX故意推迟提供关键交易记录的证据。 扩大的索赔目标是FTX清算15.3亿美元的3AC资产，以在2022年偿还13.3亿美元的负债。 这一裁决代表了2022年以来两次重大加密货币崩溃的解除过程中的另一个复杂层面。
以太坊在更广泛的可变性中陷入困境 以太坊继续面临重大阻力，53%的地址亏损运营;另类币的表现低于更广泛的加密货币市场，上周下跌了13.5%，而市场下跌了11%。 ETH ETF报告称，3月11日，两周内连续撤资，净流出2150万美元;联合创始人Joseph Lubin保持乐观，暗示近期的市场调整是必要的。 外汇储备处于多年低点表明抛售压力正在减弱--这是价格稳定的潜在建设性进展。
在政策转变的情况下，比特币恢复至8.2万美元以上，市场趋于稳定 比特币在反弹4.3%后，交易价格为82，598美元，而更广泛的加密货币市场在24小时内上涨了3.8%;分析师将其描述为“小幅反弹”，而不是基本面转变--只是在周一大幅下跌后纠正了过度悲观情绪。 市场复苏恰逢特朗普撤销加拿大钢铁关税以及乌克兰接受30天停火提案;而国内加密货币政策势头仍在继续--参议员卢米斯重新提出了战略性比特币储备立法。 宏观经济关注仍然至关重要，今天发布的CPI是美联储政策方向的关键指标;尽管价格走势积极，但LVRG Research指出，这次反弹主要是纠正了过度狂热的风险厌恶情绪，而不是预示着趋势的明确逆转。
Showing the 12 most recent of 20 posts we hold for @ZLSbi. 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 — 160,747 of 1,151,006entries 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.
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.
Named by 8 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“币圈与区块链” (@ZLSbi), 856 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/ZLSbi.
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.