Application of Deep Learning for Stock Prediction Within the Framework of Portfolio Optimization in Quantitative Trading
This paper proposes a method for stock prediction and portfolio optimization as a part of quantitative trading based on a combination of Bi-RNN and a modified snake optimization algorithm (MSOA) to build optimal portfolios and outperform conventional models and benchmarks. Methods/Analysis: We empl...
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| Format: | Article |
| Language: | English |
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Ital Publication
2025-06-01
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| Series: | HighTech and Innovation Journal |
| Subjects: | |
| Online Access: | https://hightechjournal.org/index.php/HIJ/article/view/1063 |
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