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About Stock Chart Pattern Recognition With Deep Learning: Marc Velay and Fabrice Daniel
This document evaluates deep learning techniques for recognizing common stock chart patterns in historical data. It compares CNN and LSTM models to a hard-coded algorithm for detecting two patterns. A training set was built using the hard-coded approach, and the neural networks were trained on this set. The models achieved accurate detection while generalizing to patterns outside the strict bounds of the hard-coded method. This improved over only detecting obvious patterns and reduced missed opportunities.
Detailed Information
| Author: | ['ymt1123'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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