klineR: Candlestick Pattern Detection and Stock Screening

Detects classical candlestick patterns and structure-based chart patterns from open, high, low, close, and volume (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 "golden pit" recovery setup. Includes a unified API to run pattern scans across one or many symbols. Methods are informed by Nison (2001, ISBN:9780735201811) "Japanese Candlestick Charting Techniques" and Bulkowski (2021, ISBN:9781119739685) "Encyclopedia of Chart Patterns".

Version:	0.1.1
Imports:	stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-05-27
DOI:	10.32614/CRAN.package.klineR (may not be active yet)
Author:	po su [aut, cre]
Maintainer:	po su <1848269440 at qq.com>
BugReports:	https://github.com/statlearner123/klineR/issues
License:	MIT + file LICENSE
URL:	https://github.com/statlearner123/klineR
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	klineR results

Documentation:

Reference manual:

klineR.html , klineR.pdf

Downloads:

Package source:	klineR_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: klineR_0.1.1.zip, r-oldrel: klineR_0.1.1.zip
macOS binaries:	r-release (arm64): klineR_0.1.1.tgz, r-oldrel (arm64): klineR_0.1.1.tgz, r-release (x86_64): klineR_0.1.1.tgz, r-oldrel (x86_64): klineR_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=klineR to link to this page.