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".


Reference manual

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install.packages("klineR")

0.1.1 by po su, 4 months ago


https://github.com/statlearner123/klineR


Report a bug at https://github.com/statlearner123/klineR/issues


Browse source code at https://github.com/cran/klineR


Authors: po su [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats

Suggests knitr, rmarkdown, testthat


See at CRAN