Formulation of a Prediction Index with the Help of WEKA Tool for Guiding the Stock Market Investors
2016 ◽
Vol 9
(3)
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pp. 212-225
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Keyword(s):
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.
2019 ◽
Vol 6
(3)
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pp. 1-15
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2018 ◽
Vol 31
(3)
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pp. 429-435
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2019 ◽
Vol 7
(4)
◽
pp. 28
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2021 ◽
Vol 11
(2)
◽
pp. 38-52
2021 ◽
2020 ◽
Vol 13
(1)
◽
pp. 130-149