据 SolanaFloor，哈萨克斯坦证券交易所（KASE）已上市 Volatility Shares Solana ETF（SOLZ）。今年早些时候，KASE 推出哈萨克斯坦首个持牌数字资产平台，该平台基于 Solana 构建。

老师穷困潦倒的原因终于找到了： 预测准， 不代表你扛得住： 波动(volatility)：你的杠杆是否允许你“犯错”？ 相关性(correlation)：你的防御是否只是“皇帝的新衣”？ 尾部风险(tail risk)：你是否能躲过那“万分之一”？ 冲击成本(impact cost)：你能不能“全身而退”？

据彭博社报道，衡量比特币未来 30 天预期波动率的 Volmex Bitcoin Implied Volatility Index 跌至 36.11，创 9 个月新低，并接近 2023 年以来最低水平。报道称，美国现货比特币 ETF 5 月迄今已净流出约 10 亿美元，市场交易活跃度与投机需求均有所降温。

一个中国 crypto trader，在 TikTok 上发了一段 neural network visualization 结果疑似不小心把系统正在 Polymarket 实时交易的画面露出来了 画面里全是蓝色连接线 hidden layers 纵向堆叠 neurons 在屏幕上不断触发 大多数人第一次看时，都忽略了中间一个很小的标签： “Bitcoin XVIII” 他把这条视频包装成一个普通 AI experiment 虚拟水族馆模拟 reinforcement learning “教神经网络学习生存行为。” 这是视频标题 但暂停在 0:16，细节就不对了 Profile： 模型似乎并不是在学习鱼的行为 hidden layer 里的标签，几乎和实时 Bitcoin prediction markets 对上了： price windows directional probabilities volatility ranges 这些信息被直接映射到 neural network 的 nodes 上，而所谓“模拟”还在后台继续运行 然后大家找到了这个 wallet 30 天 profit：$367,385 1,988 predictions 最大单笔 win：$183,000 几乎所有 active positions，都和 Bitcoin range markets 有关 entry price 集中在 94-98¢ 这正是自动化系统最喜欢 farm 的那类低波动 spreads： 赔率很高 空间很小 但可以持续重复 而且不需要人工一直盯着 1 小时内，评论区直接变成 detective board 有人把 TikTok 调到 0.25x 逐帧拼接 neural network 画面 然后把 hidden layer labels 和这个 Polymarket wallet 的 active positions 一一对比 时间点匹配得太精准 观众以为自己在看 AI visualization 但后台看起来更像是一个模型正在实时分类 market conditions，并根据 BTC 短线波动，把交易自动分配到不同 probability buckets 原 TikTok 只有 11,000 views。 但那条曝光 wallet 的 repost，一夜之间超过 600,000 views。 第二天早上，已经有人开始 clone 这个 interface，重建 network layout，并试图弄清楚： 为什么这个账户几乎所有 positions 都集中在 96-99¢，而且投入金额异常高。 最有意思的是： 原作者没有删除任何内容。 Wallet 也仍然 active。 问题是： 这类 Polymarket bot 的 edge，来自预测 BTC，还是来自把实时市场状态映射成可自动执行的概率分组？

很高兴的宣布， 的Web215 版本目前已做双站发布（glvs/greeks.live） 更新的核心功能为 DDH 新 U 本位对冲模式、DataLab Fly 图表、GEX 图表。 新上的两个指标和更新的U本位对冲都是应广大用户的需求，采纳多位专业交易员的意见后安排的功能， 在当下都是领先市场的工具。 致力于为每一位用户提供最先进最便捷的交易工具。 Vol Fly，即 Volatility Butterfly，是非常具有洞见性的期权指标，此图表展示波动率曲面凸度，衡量市场对极端行情的定价差异。（公式为：Fly = Avg(25Δ Call IV, 25Δ Put IV) - 50Δ Call IV） GEX，即Gamma 敞口，此图表展示期权做市商在各行权价上的净 Gamma 敞口汇总。正 Gamma（绿色）表示做市商对冲将抑制价格波动；负 Gamma（红色）表示做市商对冲将放大价格波动。（公式为：GEX = Σ（期权 Gamma × 持仓量 × 合约乘数 × 现货价格），单位为每 $1 变动对应的合约数） @leifuchen @JeffLia12309881 @CryptoRounder @Maxandzero

🚨 BREAKING 🇺🇸 Donald Trump 将于今天美东时间中午 12 点发表全国讲话， 并带来一项“关键性”声明。 👀 目前市场传闻和部分报道预计： 📌 美国可能宣布取消霍尔木兹海峡封锁 📌 与伊朗达成和平协议 如果属实： 🛢️ 油价可能剧烈波动 📈 风险资产情绪迅速变化 💥 全球市场进入高波动状态 不过截至目前， 尚未有官方确认特朗普具体会宣布什么内容。 () EXTREME VOLATILITY IS COMING. 🚨

#为什么是中国# #WhyChina# The Global Logic of China's Economic Growth in the First Half of 2026: A 4.7% GDP Increase 2026年上半年GDP增长4.7%：中国经济增长的全球逻辑 According to the latest semi-annual report, China's gross domestic product (GDP) reached 69.6 trillion yuan, representing a year-on-year increase of 4.7% at constant prices, in line with the annual growth target. Against a backdrop of intertwined international complexities and volatilities, China's economic performance is commendable. Yet, a closer look at the data reveals that the logic underpinning China's economic growth is being reshaped. (I) At the Industry Level, Notable Highlights Emerge: First, new quality productive forces are being cultivated and strengthened at an accelerated pace.** In the first half of the year, industrial production grew robustly. The value-added output of the equipment manufacturing sector increased by 9.3% year-on-year, and that of high-tech manufacturing grew by 13.3%, both outpacing the overall growth rate of industrial output above a designated scale. This underscores a clear trend toward a high-end, intelligent, green, and integrated industrial structure. Looking at specific products, the output of 3D printing equipment, lithium-ion batteries, industrial robots, and other products emblematic of new quality productive forces surged. The average daily token call volume has reached hundreds of trillions, showcasing the vitality and potential of the digital and intelligent economies. Second, new growth drivers are accelerating to take on a leading role. Preliminary estimates suggest that new growth drivers—encompassing high-end manufacturing, the digital economy, and modern services—contributed over 40% to economic growth in the first half of the year. The economy's distinct shift toward a higher quality and more optimized structure is evident, and this overall trend is accelerating. For instance, industries related to artificial intelligence, such as integrated circuit manufacturing and intelligent vehicle equipment manufacturing, have all maintained high growth rates exceeding 30%, vividly illustrating the pace of China's industrial upgrading. Third, confidence on the investment front is on the rise. In the first half of the year, investment in high-tech industries grew by 4.6% year-on-year. Notably, investment in the manufacturing of aircraft, spacecraft, and equipment, computer and office equipment manufacturing, and information services grew by 23.3%, 8.1%, and 15.5%, respectively. Investment structure best reflects market expectations. The increasing "new economy content" in investments signals an acceleration in the replacement of old growth drivers with new ones. Investment in intellectual property products grew by 9.4%, indicating that enterprises are placing greater emphasis on R&D and innovation. This suggests that technological advancement is not simply about capacity expansion but about qualitative change driven by innovation. (II) Observing a Major Economy Requires Looking Beyond the Immediate Figures to the Long-term Trajectory. Behind the "new economy content" of the semi-annual report lies China's ongoing transformation from a global manufacturing hub to a global center of innovation. At the 17th Annual Meeting of the New Champions (Summer Davos), observers noted a new phenomenon: a host of unicorn companies are heading to China. They are establishing R&D centers, regional headquarters, and deeply integrating into China's innovation and industrial chains—shifting from "produced in China" to "created in China." So, why China? Economist Justin Yifu Lin, in his book *Demystifying the Chinese Economy, touched upon the theory of the "speed of technological change." He argues that the essence of the industrial revolution is not just the application of new technologies, but more fundamentally, the ever-accelerating pace of technological change. Since the mid-18th century, starting with the steam engine reshaping the textile industry, the snowball of technological change has grown, rapidly sweeping through industries like chemicals and automobiles, ultimately redrawing the geographical map of great power competition. Looking at China today, the trajectory of accelerating technological change is equally clear. A leading enterprise can drive an entire industry, which in turn can boost a whole region. These burgeoning industrial clusters, growing from saplings to forests, not only enhance production efficiency and invigorate market vitality but also effectively improve development quality and resilience. For example, specialized and sophisticated "little giant" enterprises above a designated scale in Beijing, through deep cultivation of innovation chains, supply chain collaboration, and international expansion, have become "connecting points" and "accelerators" for the dual circulation strategy. More importantly, emerging industrial clusters possess powerful spillover effects. The rapid rise of new energy vehicles is not only reshaping the automotive industry but also driving transformations in chips, software, and energy networks, allowing more sectors to gain value from efficiency improvements. The swift advancements in AI and biomedicine are sparking a "gentle qualitative change" in people's livelihoods, significantly enhancing the sense of fulfillment and well-being through smarter, more affordable products and more livable environments. (III) Looking from the First Half to the Full Year, China's Development Momentum Remains Positive. Of course, during this critical period of transitioning between old and new growth drivers, China's economy still faces lingering issues and new challenges. Some core areas are still grappling with "bottleneck" technologies, certain high-tech industries face external risks of "decoupling" and supply chain disruptions, and "involution"-style competition affects the new energy market ecosystem. However, most of these are issues arising from development and transition, and they can be addressed with effort. The supporting conditions and fundamental trends for long-term economic improvement remain unchanged. China's economic journey toward a newer, higher-quality model is itself a process of encountering new problems and solving them along the way. By maintaining confidence, proceeding steadily, and balancing both qualitative improvements and quantitative growth, China's industries are poised to be brimming with dynamism, and the Chinese economy will continue to advance steadily and sustainably. #China# #Jiangxi# #JiangxiEconomy# #世界经济看中国# #赣出新精彩#