37 citations · 53 across the 2 of their papers we have counts for
2 papers
q-fin.ST2021★ 37 cited
Stock price forecast with deep learning
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
In this paper, we compare various approaches to stock price prediction using neural networks. We analyze the performance fully connected, convolutional, and recurrent architectures…
q-fin.ST2021★ 16 cited
Forecasting with Deep Learning: S&P 500 index
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
Stock price prediction has been the focus of a large amount of research but an acceptable solution has so far escaped academics. Recent advances in deep learning have motivated res…