Articles by Serkan Korkmaz

{talib}: Interactive financial charts

June 17, 2026 | Serkan Korkmaz

{talib} is a new R package built on TA-Lib, which is now available on CRAN. The R-package is targeted at individuals and, perhaps, institutions who, in some form or the other, interacts with the financial markets using technical analysis. The library is built with minimal dependencies for long-term stability and ...
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{talib}: Technical Analysis using R

April 26, 2026 | Serkan Korkmaz

{talib} is a new R package built on TA-Lib, which is now available on CRAN. The R-package is targeted at individuals and, perhaps, institutions who, in some form or the other, interacts with the financial markets using technical analysis. The library is built with minimal dependencies for long-term stability and ... [Read more...]

{talib}: Candlestick Pattern Recognition in R

November 16, 2025 | Serkan Korkmaz

{talib} is a new R-package for Technical Analysis (TA) and Candlestick Pattern Recognition (Yeah, the patterns traders bet their lifesavings on….). In this post I will show basic example on how {talib} works, and how it compares performance-wise with {TTR}. Basic example In this example I will identify all ‘Harami’ ...
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Thanks, on its way to CRAN

March 24, 2025 | Serkan Korkmaz

The generic seal of approval from the CRAN team – countless hours spent tabbing between R CMD check and R CMD build logs, ‘Writing R Extensions’ and Stackoverflow approved, with a single line. The equivalent of “Noted, thanks” after a painstakingly well-written e-mail to your professor – except, this has an amazing ... [Read more...]

{SLmetrics}: Machine Learning performance evaluation on steroids

December 5, 2024 | Serkan Korkmaz

Introduction {SLmetrics} is a low-level R package designed for efficient performance evaluation in supervised AI/ML tasks. By leveraging {Rcpp} and {RcppEigen}, it ensures fast execution and memory efficiency, making it ideal for handling large-scale datasets. Built on the robust S3 class system, {SLmetrics} integrates seamlessly with stable R packages, ... [Read more...]

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