<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>K线预测 on Text Matrix</title><link>https://txtmix.com/tags/k%E7%BA%BF%E9%A2%84%E6%B5%8B/</link><description>Recent content in K线预测 on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 23 May 2026 08:55:34 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/k%E7%BA%BF%E9%A2%84%E6%B5%8B/index.xml" rel="self" type="application/rss+xml"/><item><title>Kronos 完整指南：从金融时间序列入门到论文复现、微调与研究改进</title><link>https://txtmix.com/posts/tech/kronos-financial-ai-from-zero-to-expert/</link><pubDate>Sat, 11 Apr 2026 00:25:00 +0800</pubDate><guid>https://txtmix.com/posts/tech/kronos-financial-ai-from-zero-to-expert/</guid><description>Kronos 是面向金融 K 线的时间序列基础模型。本文从论文、README 与公开代码出发，讲清其离散化编码器、层次化 Token、自回归 Transformer、预测与微调流程，并补一份可直接执行的论文复现实验清单与研究改进路线。</description></item></channel></rss>