Hermawan, Aditiya and Ananda, Stanley and Junaedi, Junaedi and Edy, Edy (2025) Enhancing Stock Price Forecasting: Optimizing Neural Networks with Moving Average Data. Bit-Tech (Binary Digital - Technology), 7 (3). pp. 799-808. ISSN 2622-2728
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Abstract
This research focuses on optimizing a neural network model for stock price prediction using Particle Swarm Optimization (PSO), considering the inherent risks and potential high returns associated with stock investment. Given the challenges posed by stock price volatility, this study combines Moving Average (MA) a fundamental statistical technique in stock market analysis with advanced data mining approaches, specifically neural networks and PSO, to enhance prediction accuracy. The primary objective is to improve the efficiency of neural networks by minimizing error rates and equipping investors with more reliable tools for financial decision-making. The proposed methodology involves converting historical stock price data into a Simple Moving Average (SMA) over a 5-day period, followed by optimizing a neural network model using PSO. This optimization process fine-tunes key parameters, particularly the weight distributions of various stock market indicators, including Open SMA, High SMA, Low SMA, and Close SMA. Model performance is evaluated using Root Mean Square Error (RMSE) as a validation metric. The findings indicate a significant enhancement in the predictive accuracy of the neural network model after PSO optimization. The optimal configuration is identified in a two-layer neural network with a specific node arrangement. This optimized model not only improves stock price forecasting precision but also has practical implications for investors and financial analysts in risk management and profit maximization.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Forecasting Neural Network Particle Swarm Optimization Simple Moving Average Stock Market |
| Subjects: | 000 Karya Umum > 005 Pemograman > 005.73 Struktur Data 000 Karya Umum > 006 Metode Komputer Tertentu > 006.242 Kode Bar > 006.3 Kecerdasan Buatan > 006.752 Web Blog 000 Karya Umum > 006 Metode Komputer Tertentu > 006.3 Kecerdasan Buatan > 006.752 Web Blog 000 Karya Umum > 006 Metode Komputer Tertentu > 006.752 Web Blog |
| Divisions: | Fakultas Sains & Teknologi > Sistem Informasi Fakultas Sains & Teknologi > Teknik Informatika |
| Depositing User: | Hariyanto Rie |
| Date Deposited: | 27 Aug 2026 07:27 |
| Last Modified: | 27 Aug 2026 07:27 |
| URI: | https://repositori.buddhidharma.ac.id//id/eprint/3435 |
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