Conference proceedings

Stock Price Forecasting Using Artificial Neural Networks

Year:

2025

Published in:

Taras Shevchenko National University of Kyiv
Forecasting Model
Data pPreparation
Stock Price Forecasting

This 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

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Publisher: Ltd “DKS Centre”

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Information Analytics For Forming And Supporting Productive Habits

Publisher: Taras Shevchenko National University of Kyiv

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