Current - Issue

1. Stock Price Prediction via Discovering Multi-Frequency Trading Patterns Authors: Liheng Zhang, Charu Aggarwal, Guo-Jun Qi Authors
Info & Claims.
2. Price prediction in a trading agent competition [Extended Abstract] Authors: Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner
Authors Info & Claims.
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4. Murphy, J. J. (1999). Technical Analysis of the Financial Markets. New York Institute of Finance.
5. Mohan, S., Chen, X., & Srivastava, G. (2019). Stock Market Prediction Using Deep Learning Models. IEEE Access
6. Mehta, A., Saxena, A., & Joshi, R. (2021). A Novel Approach for Predicting Stock Prices Using Machine Learning. International Journal
of Finance & Economics.
7. Nishitha, K., Kumar, R., & Rao, P. (2020). Deep Learning-Based Forecasting of Stock Market Trends. Journal of Computational Finance.
8. Lawal, B., Adegbite, A., & Ojo, A. (2020). Stock Price Prediction Using Hybrid Machine Learning Techniques. International Conference
on Artificial Intelligence.
9. jun Gu, W hao Zhong, Y zun Li, S song Wei, C ting Dong, L yue Wang, Z & Yan, C. (2024, August). Predicting stock prices with finbert-
lstm: Integrating news sentiment analysis. In Proceedings of the 2024 8th International Conference on Cloud and Big Data Computing (pp.
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logic-based sentiment analysis. Journal of theoretical and applied electronic commerce research, 19(1), 116-134.
11. Amin, M. S., Ayon, E. H., Ghosh, B. P., Chowdhury, M. S., Bhuiyan, M. S., Jewel, R. M., & Linkon, A. A. (2024). Harmonizing macro-
financial factors and Twitter sentiment analysis in forecasting stock market trends. Journal of Computer Science and Technology
Studies, 6(1), 58-67.
12. Sangwan, V., Kumar, V., & Christopher, V. B. (2024, July). Contrasting the efficiency of stock price prediction models using various types
of LSTM models aided with sentiment analysis. In AIP Conference Proceedings (Vol. 3075, No. 1). AIP Publishing.
13. Hung, M. C., Hsia, P. H., Kuang, X. J., & Lin, S. K. (2024). Intelligent portfolio construction via news sentiment analysis. International
Review of Economics & Finance, 89, 605-617.
14. Anjum, N., Al Bony, M. N. V., Alam, M., Hasan, M., Akter, S., Ferdus, Z., ... & Sultana, S. (2024). COMPARATIVE ANALYSIS OF
SENTIMENT ANALYSIS MODELS ON BANKING INVESTMENT IMPACT BY MACHINE LEARNING
ALGORITHM. International Journal of Computer Science & Information System, 9(11), 5-16.
15. Abdullah, M., Sulong, Z., & Chowdhury, M. A. F. (2024). Explainable deep learning model for stock price forecasting using textual
analysis. Expert Systems with Applications, 249, 123740.
16. Loginova, E., Tsang, W. K., van Heijningen, G., Kerkhove, L. P., & Benoit, D. F. (2024). Forecasting directional bitcoin price returns
using aspect-based sentiment analysis on online text data. Machine Learning, 113(7), 4761-4784.
17. Cam, H., Cam, A. V., Demirel, U., & Ahmed, S. (2024). Sentiment analysis of financial Twitter posts on Twitter with the machine learning
classifiers. Heliyon, 10(1).
18. Du, K., Xing, F., Mao, R., & Cambria, E. (2024). Financial sentiment analysis: Techniques and applications. ACM Computing
Surveys, 56(9), 1-42.
19. Zheng, S., Zhang, Y., & Chen, Y. (2024). Leveraging Financial Sentiment Analysis for Detecting Abnormal Stock Market Volatility: An
Evidence-Based Approach from Social Media Data. Academia Nexus Journal, 3(3).
20. Kobets, V. M., & Stang, N. D. (2024). Development of a software service for stock price forecasting based on sentiment analysis and
autoregressive models. Вісник сучасних інформаційних технологій, 7(3), 321-329.