[Submitted on 18 Jun 2023]
See Also
Can AI really predict stock market?Why Learn Data Science for Finance and Investing?Benefits Of Data Analysis In Stock Market PredictionWhy Artificial Intelligence Will Never Beat the Stock Market - Traders MagazineAbstract:This paper will analyze and implement a time series dynamic neural network to predict daily closing stock prices. Neural networks possess unsurpassed abilities in identifying underlying patterns in chaotic, non-linear, and seemingly random data, thus providing a mechanism to predict stock price movements much more precisely than many current techniques. Contemporary methods for stock analysis, including fundamental, technical, and regression techniques, are conversed and paralleled with the performance of neural networks. Also, the Efficient Market Hypothesis (EMH) is presented and contrasted with Chaos theory using neural networks. This paper will refute the EMH and support Chaos theory. Finally, recommendations for using neural networks in stock price prediction will be presented.
| Subjects: | Statistical Finance (q-fin.ST); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG) |
| Cite as: | arXiv:2306.12969 [q-fin.ST] |
| (or arXiv:2306.12969v1 [q-fin.ST] for this version) | |
| https://doi.org/10.48550/arXiv.2306.12969 arXiv-issued DOI via DataCite |
Submission history
From: David Noel [view email]
[v1] Sun, 18 Jun 2023 20:06:44 UTC (791 KB)
