Spotify的20周年庆，他们偷偷给用户的软件Icon做了一个小升级，变成了闪亮的迪斯科球版本。 有些用户并不太满意并且希望他们开除这个想法的人。 不过吸引了很多人讨论和关注是最终现状。 RaceJohnson于是弄了几个其他公司的迪斯科版本的LOGO。如图二。 而在下面，越来越多迪斯科版本的LOGO出现，其中包括Cursor，@uniswap , X，Discord等。 那这种好玩的事情怎么能少掉monad！我来也！

SBI Holdings 正式申请日本首个 Spot XRP ETF 了，我觉得市场现在还没完全反应过来。 我感觉很多人看到这个消息，第一反应还是：“哦，又来一个 ETF。”但这次日本这步，可能没表面上那么简单，有需要关注的两点： 第一，日本开始真正测试新的加密基金规则了。这说明监管态度已经不是单纯“允许 crypto 存在”，而是准备把 XRP 这类资产正式拉进传统金融产品体系里。 第二，SBI 不是一般的机构。它跟 Ripple 生态绑定极深，从支付、跨境结算到亚洲资源，一直都是 XRP 最铁杆的推动者之一。 所以这次申请，本质上是日本传统金融资本开始正式给 XRP 打开一个合规的流动性入口。别忘了，美国现货 BTC ETF 批下来之后，真正厉害的不是当天涨多少，而是机构资金终于有了合规配置的通道。XRP 现在正走到类似的位置。 最近也能明显感觉到，Ripple 生态的话题已经慢慢从“诉讼结束了没”转向“实际金融应用落地”。 如果日本这次真的率先通过 Spot XRP ETF，影响绝不只在日本市场。亚洲资金、支付叙事、跨境清算预期，都可能重新聚焦到 XRP 身上。 其实过去几年很多人低估 XRP，就是因为大家都去追 Meme、AI、Solana 那些热点。但传统金融机构最容易接受的，反而是监管路径清晰、机构关系深、支付场景明确的资产。 XRP 接下来最大的看点，已经不只是币价本身，而是它会不会成为下一波“机构化 crypto 资产”的代表之一。

Binance: Hold USD1 in Binance Spot, Funding, Margin and Futures Accounts to Share $13 Million Rewards in WLFI (2026-05-15) Binance: 在币安现货、资金、保证金和期货账户中持有 1 美元，即可参与 WLFI 活动，分享 1300 万美元奖励（2026 年 5 月 15 日）。 ———————————— 2026-05-14 16:00:04

Binance: Hold USD1 in Binance Spot, Funding, Margin and Futures Accounts to Share 135 Million WLFI Tokens (2026-03-20) Binance: 在币安现货、资金、保证金和期货账户中持有 1 美元，即可分享 1.35 亿枚 WLFI 代币（2026 年 3 月 20 日） ———————————— 2026-03-20 10:00:06

在线娱乐订阅（Netflix、Spotify、Disney+） 区域限制：国内卡付不了美区 共用账号？老被踢，不安全 代充月付？随时跑路 MiPay 怎么做： USDT 充值钱包 生成虚拟卡，设消费限额 绑定订阅服务，自动扣款 就这么简单。 Mipay下载链接： 官方中文客服群： Online entertainment subscriptions (Netflix, Spotify, Disney+) Regional restrictions: Domestic cards cannot be used to pay in the United States. Shared account? I get kicked all the time, it’s not safe Charge monthly payment? Run away at any time How to do MiPay: USDT recharge wallet Generate a virtual card and set consumption limits Bind subscription service and automatically deduct payment It's that simple. Mipay download link: Official Chinese customer service group:

和Quant Alex @StochAlex07 讨论： SABR Theta与Spot Theta+Vol Theta+Cross Theta的异同与应用，以及SABR模型自洽性分析。 **English Summary of the Chat** **SABR Theta vs Spot Theta + Vol Theta + Cross Theta** The conversation between **Alex Wu** (white bubbles) and **Jeff Liang** (green bubbles) is a technical discussion focused on **SABR Theta versus Total Theta** (i.e., Spot Theta + Cross Theta + Vol Theta), model self-consistency, PDE residual, and the correct definition of SABR Greeks. ### Key Points Discussed: 1. **SABR Gamma = Spot Gamma** (first major question, raised by Jeff) Jeff asked whether SABR Gamma (\(\partial^2 P / \partial F^2\)) is identical to Spot Gamma and whether it includes the dependence of \(\sigma_B\) on \(F\). He also provided the full chain-rule expansion of SABR Gamma in terms of Black-76 Greeks. Alex confirmed the understanding and **later affirmed in code** that this is exactly how SABR Gamma is implemented in their system. 2. **SABR Theta vs Total Theta and Model Self-Consistency** (main topic, led by Jeff) Jeff shared a clear 3-point understanding: - SABR Theta is computed directly via the SABR approximation formula to obtain \(\sigma_B\), then applying the Black-76 chain rule: \(\partial P/\partial t =\) BS_Theta(\(\sigma_B\)) + BS_Vega \(\cdot \partial\sigma_B/\partial t\). - Total Theta is the exact decomposition from the SABR PDE (Spot Theta + Cross Theta + Vol Theta). - When the model is **fully self-consistent** (Residual = \(\partial P/\partial t + \mathcal{L}P = 0\)), SABR Theta = Total Theta; otherwise the difference is the unexplained PnL caused by the approximation error in the Hagan formula (especially pronounced in long-dated, high vol-of-vol, or high-skew options). 3. **Practical Implication – Theta Decomposition Decision** (comment by Alex) Alex noted that whether to perform Theta decomposition depends on the risk-management approach: - Without decomposition → use SABR Gamma vs. dP/dt. - With decomposition → SABR Gamma maps to Spot Theta, Vanna to Cross Theta, and Volga to Vol Theta. **Overall Tone**: The discussion is highly technical and collaborative. Jeff drives the conversation by asking clarifying questions and presenting a well-structured 3-point summary of his recent study. Alex provides confirmations, practical insights, and code-level validation. Both participants demonstrate a strong command of SABR model nuances, particularly the relationship between approximation error, PDE residual, and real-world risk management.