Abstract
Stock market price prediction is like an Astrologer which will predict the future value of the stocks whether our share brings in profit or loss, the significance of this prediction system is to gain profit on our invested money and to prevent huge financial loss in the share market, to predict this asset we use many methods. In this article, we analyzed the different steps in the stock market price trend prediction namely, data collection, Pre-processing, dimensionality reduction, classification, prediction, and validation. This article does a thorough analysis of machine learning, deep learning, fuzzy based, and some hybrid models with help of performance metrics such as accuracy. This article also concludes which model is best among all existing models.
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Agilandeeswari, L., Srikanth, R., Elamaran, R., Muralibabu, K. (2023). Stock Market Price Trend Prediction – A Comprehensive Review. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-35501-1_48
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DOI: https://doi.org/10.1007/978-3-031-35501-1_48
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