Stock Chart Pattern recognition with Deep Learning
Not on the map. Why?
Abstract (arXiv)
This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build the training set, the neural networks architectures and the accuracies obtained.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 2.
3 papers.