<?xml version="1.0" encoding="UTF-8" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
  <title>速铺宝 Supubao · 量化策略审计与AI建站技术洞察</title>
  <link>https://supubao.com/insights/</link>
  <description>专业量化交易策略第三方审计、未来函数穿透、Purged K-Fold验证、小盘股真实滑点冲击建模，以及出海独立站高性能极速开发实录。</description>
  <language>zh-CN</language>
  <lastBuildDate>Fri, 09 Oct 2026 15:41:13 +0000</lastBuildDate>
  <atom:link href="https://supubao.com/feed.xml" rel="self" type="application/rss+xml" />

  <item>
    <title>量化回测如何避免过拟合？Purged K-Fold 与组合交叉验证的工业级实战</title>
    <link>https://supubao.com/insights/purged-kfold-cross-validation-backtest.html</link>
    <guid>https://supubao.com/insights/purged-kfold-cross-validation-backtest.html</guid>
    <pubDate>Fri, 09 Oct 2026 08:00:00 GMT</pubDate>
    <description>深入解析A股截面多因子策略中最易踩坑的时序自相关性与信息泄漏。通过 Purged 与 Embargo 技术实现无未来函数的数据切割，提供可落地 Python 代码。</description>
  </item>

  <item>
    <title>小盘股量化交易中的真实冲击成本与滑点测算：Python 逐笔回测实证</title>
    <link>https://supubao.com/insights/market-impact-and-slippage.html</link>
    <guid>https://supubao.com/insights/market-impact-and-slippage.html</guid>
    <pubDate>Fri, 09 Oct 2026 06:00:00 GMT</pubDate>
    <description>深度剖析A股小盘股量化策略回测与实盘偏差的根源：冲击成本平方根法则、真实挂单深度、涨跌停不可成交性。附带Python可复现滑点建模代码与防穿仓风控建议。</description>
  </item>

  <item>
    <title>量化策略回测赚钱实盘亏钱？深度排查过拟合与隐蔽未来函数</title>
    <link>https://supubao.com/insights/overfitting-and-lookahead-bias.html</link>
    <guid>https://supubao.com/insights/overfitting-and-lookahead-bias.html</guid>
    <pubDate>Thu, 08 Oct 2026 08:00:00 GMT</pubDate>
    <description>很多量化交易者回测年化惊人，实盘却持续回撤。本文深入拆解前复权因子的全局穿透、财报公告日与截止日颠倒、参数孤岛过拟合及一字板不可成交性四大技术盲区。</description>
  </item>

  <item>
    <title>传统建站 vs AI建站：中小企业搭建外贸与营销独立站的避坑实录</title>
    <link>https://supubao.com/insights/ai-website-vs-traditional-build.html</link>
    <guid>https://supubao.com/insights/ai-website-vs-traditional-build.html</guid>
    <pubDate>Thu, 08 Oct 2026 05:00:00 GMT</pubDate>
    <description>中小企业建站为什么总踩坑？深度横向对比传统软件外包、SaaS模板平台与AI驱动现代建站模式，解析源码交付、SEO收录与询盘转化的关键考量。</description>
  </item>
</channel>
</rss>
