<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>statlearner123.r-universe.dev</title><link>https://statlearner123.r-universe.dev</link><description>Recent package updates in statlearner123</description><generator>R-universe</generator><image><url>https://github.com/statlearner123.png</url><title>R packages by statlearner123</title><link>https://statlearner123.r-universe.dev</link></image><lastBuildDate>Sun, 17 May 2026 04:43:29 GMT</lastBuildDate><item><title>[statlearner123] klineR 0.1.1</title><author>1848269440@qq.com (po su)</author><description>Detects classical candlestick patterns and structure-based
chart patterns from OHLCV time series and provides reusable
stock-screening workflows. Built-in detectors include single-
and multi-candle patterns, trend structures such as double
bottoms and ascending triangles, and a configurable &quot;golden
pit&quot; recovery setup. Includes a unified API to run pattern
scans across one or many symbols.</description><link>https://github.com/r-universe/statlearner123/actions/runs/26563050014</link><pubDate>Sun, 17 May 2026 04:43:29 GMT</pubDate><r:package>klineR</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://statlearner123.r-universe.dev</r:repository><r:upstream>https://github.com/statlearner123/kliner</r:upstream></item></channel></rss>