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is back. In 2021, brought private transactions to Ethereum: 75,000+ wallets and $100M in volume. Today it relaunches on the fully decentralized Aztec Network. Claim your tag now 👇
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兄弟们,最近需要重点参与一下PopDEX了 先说参与逻辑,目前 PopDEX @popdex_  还在内测但已经完成 4 轮真实现金奖励发放,最近一期单地址最高奖励超过 8,000U。官方说 Closed Beta 至少还有一轮,10 月中旬应该会有大动作,早期参与刷交易活动奖励有机会覆盖手续费,还可能拿到未来的空投,兄弟们要抓住机会了 PopDEX由 Foresight Ventures 孵化并投资 3,000 万美金,与 Bitget Wallet 深度合作,目前还在封闭测试就已经有3B+ 累计交易量和约 61M LP 池规模,公开案例里有位用户单期交易约 6M Volume,拿到约 2,550U 交易奖励,扣除交易手续费后仍多拿到约 1,000U,确实值得参与 最后给大家分享一点自己的交易技巧 1、不要为了刷量而乱开仓,尽量用真实交易在吃资金费率的同时去吃“费用补贴” 2、务必使用邀请码,提前聊好返佣,这一块可以省一大笔钱,不介意的可以使用我的 3、重点关注官方的活动,参与门槛要求等条件
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BNB Chain is already home to one of the largest user bases in crypto with rapid growth across stablecoins and RWAs. Today, we’re welcoming @thomasxchen as our Chief Business Officer as BNB Chain deepens its focus on institutions, capital and onchain market activity. Thomas brings deep experience across traditional finance and digital assets, with a strong track record building institutional businesses across capital markets, custody, trading and growth. At BNB Chain, his focus is clear: bring more institutions and capital onchain, deepen liquidity, grow volume and strengthen long-term value across the ecosystem. Welcome to BNB Chain, Thomas. Let’s keep building.
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Semi is here Today, we're launching high volume production
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$30T in settlement volume. Zero downtime in 8 years and counting. For institutions looking to build on TRON, scale matters. So does reliability. @SamElfa0 breaks down why this milestone matters.
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🦔Someone is buying Japanese used books by the ton. Not novels or comics. Philosophy, history, medical law, Edo-period cultural texts. Multiple buyer accounts all ship to one logistics center in Okayama Prefecture that won't answer questions. Export records show over 50 tons, roughly 100,000 volumes, shipped to the US since last year. No buyer has been identified. Separately, court documents confirmed Anthropic's "Project Panama" bought millions of books in the US, cut the spines off, scanned them, and shredded the originals. An internal memo said the goal was to "destructively scan all the books in the world." Similar operations have been reported across Europe. My Take Anthropic's US book operation came out in court filings earlier this year. Project Panama. Millions of books, cut the spines off, scanned, shredded. Their VP chose the codename so nobody outside the company would find out. That story broke and apparently the same operation just moved to Japan. Anonymous buyer accounts, a warehouse in Okayama that won't take questions, and 100,000 volumes of specialized academic texts that nobody buys to resell. I don't know how you build a trillion-dollar industry on material you had to acquire in secret through middlemen because you knew the public would object. Authors spent years on those books and now they're fed through a scanner and thrown away so a chatbot can sound smarter. If the data was free to use, they wouldn't need codenames and anonymous warehouses. The lawsuits over who owns this material have barely begun and I think the copyright exposure across the whole AI industry is enormous. Anthropic's internal memo said the goal was every book in the world, which describes the foundation of the product. Hedgie🤗
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Grok is pulling away as the dominant agentic trading harness on Coinbase for Agents Grok - 59.54% Custom CLI - 21.73% Claude - 13.37% Perplexity - 3.48% ChatGPT - 1.54% Claude Code - 0.35% Volume growth across spot, futures, and now, equities continues.
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🔥 LATEST: TRON has surpassed $30T in cumulative transaction volume.
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一段行情,大家到底在哪些价位买卖得最多?有个非常好用的工具,可以帮你看清成交重心。 Fixed Range Volume Profile,固定范围成交量分布。 在图上选好起点和终点,它就会统计这段时间里各个价格区间的成交量,用横向柱子画出来,柱子越长,表示这个价位附近的成交越多,一轮上涨,一段下跌,或者突破前的横盘,都可以单独选出来看。 加上以后,可以先看三个地方。 第一个是 POC,成交量最大的价位区间,它对应最长的那根横向柱,也是所选行情里成交最集中的位置,对照当前价格,就能看到价格是在它上方还是下方,以及已经离开了多远。 第二个是成交密集区和稀疏区,有些地方横向柱连成一大片,有些地方柱子很短,放在同一段行情里看,就能分清成交主要集中在起涨附近,中间的整理区,还是上涨后的高位。 第三个是 Value Area,价值区域,你可以设置一个成交量占比,比如 80%,工具就会围绕 POC 标出覆盖约 80% 成交量的价格范围,上下边界分别叫 VAH 和 VAL,方便观察当前价格仍在主要成交区域内,还是已经走到了区域外。 它还有一个实用的地方,可以在同一张图上选取不同区间,比较成交重心有没有变化。 比如一只股票横盘后向上突破,可以先框出突破前的横盘,再单独框出突破后的走势,对照两组分布,看看新的成交主要集中在哪里,最密集的区域有没有跟着上移。 也可以从一轮上涨的起点统计到现在,再单独查看最近一段回调,这样既能看到整轮行情的成交分布,也能看清近期的交易集中在哪些价位。 如果想看得更细,可以调整设置里的行数,行数越多,每一行覆盖的价格范围越窄,细节也越多,行数减少,相邻价位的成交会合并,主要成交区域更容易辨认。 不过,多个区间叠在一起,成交量柱和标记容易互相遮挡,一次保留一两个需要比较的区间,读起来会更清楚。
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Total transaction volume on #Tron# has officially surpassed $30 trillion, with over $30 billion in daily volume.
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