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About A Survey of Deep Learning Techniques Applied To Trading: Limit Order Book Modeling
This document summarizes research applying deep learning techniques to finance and trading. It describes papers that use neural networks like deep belief networks to model limit order books, classify stock price movements, and predict which stocks will have higher returns. The papers describe neural network architectures, training methods, and report results like predictive accuracy rates and backtested portfolio performance.
Detailed Information
| Author: | ['Jorge Ivan Zapata Riveros'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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