lcyanalysis: An R Package for Technical Analysis in Stock Markets

Chun-Yu LIU  Shu-Nung YAO  Ying-Jen CHEN  
[Paper on system development]

IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.7   pp.1332-1341
Publication Date: 2019/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDK0004
Type of Manuscript: PAPER
Category: Office Information Systems, e-Business Modeling
technical indicators,  R package,  big data analysis,  stock market,  investment,  

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With advances in information technology and the development of big data, manual operation is unlikely to be a smart choice for stock market investing. Instead, the computer-based investment model is expected to bring investors more accurate strategic analysis and more effective investment decisions than human beings. This paper aims to improve investor profits by mining for critical information in the stock data, therefore helping big data analysis. We used the R language to find the technical indicators in the stock market, and then applied the technical indicators to the prediction. The proposed R package includes several analysis toolkits, such as trend line indicators, W type reversal patterns, V type reversal patterns, and the bull or bear market. The simulation results suggest that the developed R package can accurately present the tendency of the price and enhance the return on investment.