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Formulation of a Prediction Index with the Help of WEKA Tool for Guiding the Stock Market Investors


Affiliations
1 IMED, BVDU, Pune, India
 

Prediction of stock prices using various computer programs is on rise. Popularly known in the field of finance as algorithmic trading, a radical transformation has taken place in the field of stock markets for decision making through automated decision making agents. Machine learning techniques can be applied for predicting stock prices. This paper attempts to study the various stock market forecasting processes available in the forecasting plugin of the WEKA tool. Twenty experiments have been conducted on twenty different stocks to analyse the prediction capacity of the tool.

Keywords

JEL Classification–Mathematical and Quantitative Methods, Financial Economics and other Special Topics).
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  • Formulation of a Prediction Index with the Help of WEKA Tool for Guiding the Stock Market Investors

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Authors

Aseema Dake Kulkarni
IMED, BVDU, Pune, India
Ajit More
IMED, BVDU, Pune, India

Abstract


Prediction of stock prices using various computer programs is on rise. Popularly known in the field of finance as algorithmic trading, a radical transformation has taken place in the field of stock markets for decision making through automated decision making agents. Machine learning techniques can be applied for predicting stock prices. This paper attempts to study the various stock market forecasting processes available in the forecasting plugin of the WEKA tool. Twenty experiments have been conducted on twenty different stocks to analyse the prediction capacity of the tool.

Keywords


JEL Classification–Mathematical and Quantitative Methods, Financial Economics and other Special Topics).

References