JSAI2020

Presentation information

Interactive Session

[3Rin4] Interactive 1

Thu. Jun 11, 2020 1:40 PM - 3:20 PM Room R01 (jsai2020online-2-33)

[3Rin4-12] Market trend prediction using multiple technical indicators

〇Ryosuke Katayose1, Yoshioka Masaharu1 (1.Hokkaido University)

Keywords:Machine Learning, Technical Analysis, Stock Market Prediction

Stock price forecasting is performed in various forms, such as technical analysis and fundamental analysis using time series data and financial indicators, and text analysis using news information. We propose a method for predicting stock prices by machine learning using multiple technical indicators, taking into account the increasing number of algorithmic trades using technical analysis. At this time, stocks with good and bad fits by technical analysis are classified and evaluated. We consider how to combine multiple technical indicators.

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