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All Journal Jurnal Akun Nabelo : Jurnal Akuntansi Netral, Akuntabel, Objektif
Dina Anggraeni
Universitas Indonesia
Economics, Econometrics & Finance Social Sciences

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STOCK PRICE MOVEMENT PREDICTION USING SUPERVISED MACHINE LEARNING ALGORITHM: KNIME Dina Anggraeni; Kris Sugiyanto; Muhammad Irwan Zam Zam; Harry Patria
Jurnal Akun Nabelo: Jurnal Akuntansi Netral, Akuntabel, Objektif Vol 4, No 2 (2022)
Publisher : Department of Accounting, Faculty of Economics and Business, Universitas Tadulako

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Abstract

What happened to the money that was invested? Especially in light of the obscene wealth. Obviously, it refers to financial instruments. Let us start with the most basic investment instruments: firm stocks traded on stock exchanges. We have gathered field data from a few manufacturing companies over the last five years (2015–2019), including financial and non-financial data, as well as stock price variance over each year. We used KNIME's machine learning to find the best models for predicting the variance of the stock price in a given year based on the parameters provided. We expect the algorithms to be able to predict which company will return a capital gain for the investor.
Co-Authors Harry Patria Kris Sugiyanto Muhammad Irwan Zam Zam