Abstract
Stock market data is one of the typical types of time series data because it is volatile and often irregular. The article presents how to use R language in collecting and analyzing stock data, thereby providing a number of technical indicators that are commonly used by people operating in this market. The main research methods in the article include synthesizing theories based on secondary documents, using data sets from available sources and performing statistical analysis using R. The results of the article help stock investors have an additional method of data analysis in an intuitive way; technical indicators are calculated automatically, thereby helping to analyze stock data in the real time with the best effect.
Keywords: Stock market; stock value; R language; quantmod; data analysis.
JEL classification: C81; C88.
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Ban biên tập Tạp chí Kinh tế & Quản trị Kinh doanh
Phòng 514, Nhà điều hành, trường Đại học Kinh tế & Quản trị Kinh doanh
Địa chỉ: Phường Tân Thịnh, thành phố Thái Nguyên
Email: tapchikt-qtkd@tueba.edu.vn; Điện thoại: 0208.3903373
