https://x.com/cams_kai/status/2020054282310152603
🎉1

Channel
@degen_eco
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
969subscribers
-4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002213028722 |
|---|---|
| Type | Channel |
| Username | @degen_eco |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/degen_eco |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 01:47 | 969 | -3 |
| 8 Aug 2026, 00:46 | 972 | no change |
| 7 Aug 2026, 16:01 | 972 | -1 |
| 7 Aug 2026, 13:02 | 973 | first reading |
20 posts held, back to 15 July 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 7 February 2026. An engagement rate over an empty window would be a number about nothing.
6 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 50.0% | |
| 🎉 | 3 | 50.0% |
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 4 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 6reactions 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 15 July 2025 to 7 February 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.
https://x.com/cams_kai/status/2020054282310152603
🎉1
🚨 八部委联合发文虚拟资产监管,不过这次是重大利好。2月6日注定写进中国Crypto RWA监管史 1️⃣ 核心要点一:虚拟货币态度零松动,但RWA被明确切割 $BTC 、 $ETH 、 $USDT 等继续被定性为非法金融活动,境内兑换、交易、ICO、境外服务一律严打,挖矿、广告、公司起名全部封杀。但RWA被单独定义并区别对待,不再一锅端,这是5年来最大的认知升级。 2️⃣ 核心要点二:证监会首次给出RWA权威定义 文件明确现实世界资产代币化 = 用区块链/分布式账本技术,把房产、债券、应收账款等真实资产的所有权/收益权转化为代币,进行发行和交易。 境内RWA原则上禁止,但加了一句关键除外条款——“经业务主管部门依法依规同意,依托特定金融基础设施开展的除外”。 就是想玩RWA?可以,但必须在监管认可的“指定赛道”里玩(比如上海、北上深数据交易所、数人民币基础设施等)。 3️⃣核心要点三:境内资产出海RWA,终于有明确规则了…
❤1🎉1
🈲 中国再次重申挖矿禁令—— 1)一切虚拟货币挖矿,被定性为非法金融活动; 2)地方政府强化排查与打击; 3)鼓励群众举报,责任直接下沉。 很多人还是没想明白一个问题: 为什么交易能忍,挖矿却始终是红线? 因为交易是零和博弈,再怎么折腾,也只是账户之间的数字变化; 不消耗现实资源,风险最终只在参与者内部结算。 而挖矿是实物——时间——主权的三重穿透。 用现在的电、现在的土地、现在的基础设施,但收益结算的时间和地点都在中国固有体系之外,这是绝对不被允许的。 一定要放弃灰色区域、窗口期这种政治不正确的幻想!
🎉1
🚨 买卖U 我犯法了吗? 简单来说,卖U本身在中国大陆并不直接构成犯罪,但整个交易链条的“怎么卖、卖给谁、资金来源和去向”决定了是否踩到刑事红线。 01/ 中国人民银行等部门反复强调: 1️⃣ 虚拟货币不具有与法定货币等同的法律地位,不具有法偿性,不应且不能作为货币在市场上流通使用。 2️⃣ 虚拟货币相关业务活动属于非法金融活动。 3️⃣ 稳定币被明确纳入虚拟货币范畴,存在被用于洗钱、集资诈骗、违规跨境转移资金等风险。 02/ 最大的雷区:交易对手的资金来源 1️⃣ 如果买家用诈骗款、赌博款、传销款、黑灰产资金来买卖U,你即使不知情,也可能涉嫌掩饰、隐瞒犯罪所得罪或洗钱罪。 2️⃣ “善意第三人”抗辩在实践中很难成立,尤其是大额、频繁交易。 3️⃣ 这是散户/U商最常见被“锤”的原因:收到赃款 → 被冻 → 涉案 → 即使上游不是你干的,你也可能被追责或资金被追缴。 03/ 怎么降低风险? 1️⃣ KYC + 聊天记录(…
https://x.com/cams_kai/status/2016481279873826915
🚨 通俗易懂解释一下币安公告的 #OECD 的 #CARF 1️⃣自动信息交换:参与 CARF 的国家将从加密资产服务提供者处收集本国税务居民的加密资产交易信息,并每年与其他参与国的税务机关进行自动信息交换。 2️⃣ 申报范围:CARF 覆盖范围广泛,不仅包括比特币、以太坊等加密货币,还包括稳定币、非同质化代币(NFT)以及以加密资产形式存在的衍生品等。 3️⃣ 申报信息内容:用户身份信息(姓名、地址、居住国、纳税人识别号(TIN)等)和交易信息(交易类型、累计交易金额、交易次数等详细交易数据) 4️⃣申报义务主体:凡是为客户或代表客户从事加密资产交易撮合、提供交易平台或相关服务的加密资产服务提供者,均负有申报义务。包括交易所、做市商、加密资产运营主体 5️⃣ 防范跨境逃税:CARF 有助于防止通过加密资产交易产生的所得逃税行为。通过信息自动交换机制,各国税务机关能够掌握跨境加密资产交易情况。 6️⃣ 监管要求加强:…
此前,中国刑法学研究会、上海高院指导,上海二中院与中国人民大学法学院联合主办刑事审判研讨会,第四期聚焦「涉虚拟货币犯罪案件的适法统一」主题,研讨内容整理如下: 1️⃣ 涉虚拟货币洗钱犯罪中「主观明知」的认定,应综合判断涉虚拟货币洗钱罪中的主观明知,以防止客观归罪。 2️⃣ 涉虚拟货币洗钱犯罪的行为类型及既遂标准的认定,一是准确把握「掩饰、隐瞒犯罪所得及其收益的来源和性质」这一犯罪本质;二是实施洗钱犯罪构成要件所规定的掩饰、隐瞒犯罪所得及其收益行为,即属于犯罪既遂;三是依法从严打击洗钱犯罪,坚决维护国家金融安全。 3️⃣ 涉虚拟货币非法经营犯罪的认定,如行为不具有经营行为特征,仅属于个人持币、炒币,则一般不认定为非法经营罪。但如果其明知他人非法买卖或者变相买卖外汇,仍通过兑换虚拟货币方式提供帮助,情节严重的,应认定为非法经营罪的共犯。
虚拟货币“U商”陷阱 1️⃣ 买卖 USDT 本身并不当然构成洗钱罪,单纯进行虚拟货币交易通常不会直接被认定为洗钱。 2️⃣ 但现实中仍存在严重刑事风险,包括涉嫌帮助信息网络犯罪活动罪、掩饰隐瞒犯罪所得罪,情节严重的甚至可能构成非法经营罪。 3️⃣ 司法关注的核心并不是你是否“想犯罪”,而是资金来源是否清晰,大额交易、来历不明资金,以及明知或应知异常仍协助转移,都会成为定罪关键。 4️⃣ 做场外交易一定要做 KYC,一定要验证U的来源是否涉及非法。 如果涉及非法那很有可能变成帮信罪、掩隐罪、非法经营罪 交流群 | 非法地址免费查询
目前国内政策是个人持有或交易加密货币(如 $BTC 等“炒币”)以及非盈利目的的日常换取 $USDT 本身并不直接构成违法行为,但相关活动需严格遵守外汇管制、反洗钱等规定。 真正的风险主要在于资金/U的来源、出入金方式以及是否涉及盈利或大额交易,如果来源非法或绕过监管,可能触及刑事责任(如非法经营罪或掩饰、隐瞒犯罪所得罪)。 ✅ 个人持有/交易加密货币不违法,但风险自担:国内未明确禁止个人持有虚拟货币,其被视为虚拟财产,具有一定财产价值。政策重点打击的是机构化交易、ICO、矿场等“相关业务活动”,而非个人行为。 ✅ 非盈利目的日常换U不违法:小额、非营利性的USDT兑换(如个人跨境支付或持有)未被定为违法,但需确保不涉及外汇管制违规。 🚨 主要风险: 1️⃣ U的来源非法:如果U来自电诈、网赌、洗钱等犯罪资金,交易方可能不知情但仍被追责(如“善意取得”不适用虚拟货币)。 推荐免费查询非法U工具:@DeepScanPro_b…
目前在多个 EVM 链 上,似乎有 数百个钱包正在被持续盗取资金,每个受害钱包被盗金额较小(单个受害者合计低于 2,000 美元),且 根本原因尚未查明。 截至目前,累计被盗金额约为 107,000 美元,且 盗窃总额仍在持续上升中。 可疑地址: 0xAc2e5153170278e24667a580baEa056ad8Bf9bFB 交流群 | 非法地址分析工具
📌 TZAdsCArx2cU3C79i8tvudSGhkJRZFqHKy 💰 余额:28.61 USDT ⛓ 主链:USDT-TRC20 ├ ⻛控评级:风险高,请谨慎 ├ ⾮法关联事件:疑似恶意地址 ├ ⾮法交易总额:$ 0 ‼ ⾮法交易详情: ├ 涉及与非法活动实体交易:Guarantee Merchant ├ 涉及额度:$ 0.00 └ 交易路径:直接交易-中转 1 次 🧬 与你交易过的⾮法地址: ├ TDuYf6t4f3ZGXSDcEgqLwfUwXEZqbaeh7T (Suspected malicious address, Laundering, Guarantee Merchant) └ 交易记录 1 | 交易记录 2 | 交易记录 3 ├ TW5RX79CU6ArUTePvCZHnwCykyoDQrAD3V (Suspected malicious address, Laund…
Photo, posted without a caption
Showing the 12 most recent of 20 posts we hold for @degen_eco. 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 — 129,516 of 1,548,671entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 2 seed channels' Telegram-generated recommendation lists in total. 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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Degen's Club 🍌” (@degen_eco), 969 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/degen_eco.
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.