37 citations · 53 across the 3 of their papers we have counts for
3 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…
cs.LG2020
Machine learning based forecasting of significant daily returns in foreign exchange markets
Firuz Kamalov, Ikhlaas Gurrib
Asset value forecasting has always attracted an enormous amount of interest among researchers in quantitative analysis. The advent of modern machine learning models has introduced…