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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 |
| 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 |
| Reference manual: | klineR.html , klineR.pdf |
| Package source: | klineR_0.1.1.tar.gz |
| Windows binaries: | r-devel: klineR_0.1.1.zip, 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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