[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio515993eb":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":80},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio515993eb","美股投资网将正式部署全新的量化+AI模型","\u002Fdoc\u002Fdcio515993eb","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\n\u003C\u002Fp>\u003Cp>\u003Cspan>\u003Cspan>【重磅更新】从\u003C\u002Fspan>2026\u003Cspan>年\u003C\u002Fspan>9\u003Cspan>月\u003C\u002Fspan>23\u003Cspan>日起，美股投资网将正式部署全新的量化\u003C\u002Fspan>+AI\u003Cspan>模型，并全面替换已经服役三年的\u003C\u002Fspan>“\u003Cspan>火力全开模型\u003C\u002Fspan>2”\u003Cspan>。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>\u003Cspan>过去三年里，模型\u003C\u002Fspan>2\u003Cspan>帮助我们挖掘出了不少极具成长潜力的公司，包括\u003C\u002Fspan>2024\u003Cspan>年的\u003C\u002Fspan>AppLovin\u003Cspan>（\u003C\u002Fspan>APP\u003Cspan>）、\u003C\u002Fspan>Hims &amp; Hers Health\u003Cspan>（\u003C\u002Fspan>HIMS\u003Cspan>），以及\u003C\u002Fspan>2025\u003Cspan>年的\u003C\u002Fspan>Celestica\u003Cspan>（\u003C\u002Fspan>CLS\u003Cspan>）等，也成为我们量化选股体系中非常重要的一部分。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>但量化交易有一个非常现实的问题：市场不会永远保持同一种结构。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>\u003Cspan>资金风格、交易机制、市场参与者、信息传播速度以及\u003C\u002Fspan>AI\u003Cspan>量化交易的普及程度都在不断变化。一个三年前表现非常优秀的模型，并不意味着三年后依然能够保持同样的有效性。随着市场环境不断迁移，模型原有的\u003C\u002Fspan>Edge\u003Cspan>会逐渐衰减，准确率和效率也可能随之下降。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>\u003Cspan>这也是为什么我们一直强调，真正的量化系统并不是\u003C\u002Fspan>“\u003Cspan>开发完成以后一直使用\u003C\u002Fspan>”\u003Cspan>，而是需要持续监控、回测、迭代和升级。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>\u003Cspan>经过一段时间的开发、测试和大量历史数据回测，我们决定从明天开始正式部署新一代量化\u003C\u002Fspan>+AI\u003Cspan>模型。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>\u003Cspan>从目前的历史回测结果来看，新模型最明显的提升主要体现在两个方面：第一，模型识别机会并产生有效结果所需要的时间，相比原有模型缩短了约\u003C\u002Fspan>50%\u003Cspan>；第二，整体信号准确率也出现了大幅度提升。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>\u003Cspan>这次升级并不会替换目前表现火力全开模型\u003C\u002Fspan>1\u003Cspan>，而是只替换\u003C\u002Fspan>“\u003Cspan>火力全开模型\u003C\u002Fspan>2”\u003Cspan>。可以在美股大数据\u003C\u002Fspan> StockWe.com \u003Cspan>官网的【\u003C\u002Fspan>AI\u003Cspan>选股】查看到。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>2026\u003Cspan>年\u003C\u002Fspan>9\u003Cspan>月\u003C\u002Fspan>23\u003Cspan>日，新模型正式上线。希望明天运行一切顺利，不出现任何我们意想不到的\u003C\u002Fspan>Bug\u003Cspan>。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>新的模型，新的数据，新的开始。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>--\u003Cspan>美股投资网\u003C\u002Fspan>TradesMax.com\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003C\u002Fp>","https:\u002F\u002Fwww.tradesmax.com\u002Fimages\u002Fa_Stock\u002FA\u002FAI\u002FAI.jpg","2026-09-22T21:54:33","2026.09.22","2026\u002F09\u002F22",50415,[22],"AI","Article",0,"免费","success",{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":28,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},[22],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":31,"services":32,"recentDocuments":41},"\u003Cfigure class=\"image\">\u003Ca href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\" rel=\"noopener noreferrer\">\u003Cimg src=\"\u002Fimg\u002Fstockwewebfiles\u002Fweb-202408-stk\u002F1586109431mceclip0.jpg\">\u003C\u002Fa>\u003C\u002Ffigure>\u003Cdiv class=\"text-center\">\u003Ch2 class=\"card-title mx-auto\">\u003Cbr>\u003Ca rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\">案例介绍：英伟达深度研究报告\u003C\u002Fa>\u003C\u002Fh2>\u003C\u002Fdiv>",[33,37],{"productId":34,"serviceName":35,"priceText":36},"prod_PPxdDdK87QaiLv","月付","$12.95美元",{"productId":38,"serviceName":39,"priceText":40},"prod_PPxeMs3bix1da5","年付","$149.00美元",[],{"links":43,"images":71,"summaryHtml":76,"aboutTitle":77,"aboutHtml":78,"copyrightHtml":79},[44,47,50,53,56,59,62,65,68],{"label":45,"url":46},"深度报告","\u002Fcol\u002FdepthReport",{"label":48,"url":49},"VIP会员","\u002Fvip",{"label":51,"url":52},"期权推荐","\u002FOption",{"label":54,"url":55},"低价暴涨股","\u002FPenny",{"label":57,"url":58},"AI智能体","\u002FAiAgent",{"label":60,"url":61},"常见问题","https:\u002F\u002Fstockwe.com\u002FFAQ",{"label":63,"url":64},"美股课程","\u002Fcol\u002Fvideos",{"label":66,"url":67},"免责声明","\u002Fdisclaimer",{"label":69,"url":70},"联系我们","\u002FContactUs",[72,73,74,75],"\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploaderzic2tuwsol2_2025_09_11_18_21_07.gif","\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploadercakzdvydksw_2025_09_03_09_00_56.png","\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploadergtjyagwvoyk_2025_09_14_08_32_05.png","\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploader3u0tt4jhlqh_2025_09_23_22_30_48.png","邮箱: buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 \u003Ca href=\"https:\u002F\u002Fstockwe.com\" rel=\"noopener\">StockWe.com\u003C\u002Fa> 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理海量股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，美股买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":81,"search":82,"searchPlaceholder":82,"hotContent":83,"draft":84,"noData":85,"searchNoData":86,"courseContent":87,"more":88,"buyNow":89,"subscribeNow":90,"encoding":91,"paidContent":92},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]