Stock Price Forecasting Using Artificial Neural Networks
Year:
2025Published in:
Taras Shevchenko National University of KyivThis study aims to develop a methodology for forecasting stock prices using machine learning methods, specifically Artificial Neural Networks (ANN), to improve prediction accuracy and support investment decision-making. The model implementation allows for short- and long-term forecasts over 1 month, 6 months, 1 year, and 5 years, enabling a range of forecasting horizons.
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Publisher: Slovak University of Technology in Bratislava
Authors: Oleksandr Ilchuk, Ihor Miroshnychenko
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Authors: Ihor Miroshnychenko, Vladyslav Krupin
Information Analytics For Forming And Supporting Productive Habits
Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Maxim Suprunenko