most citedStock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

q-fin.ST2020★ 3 cited

Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

Xing Wang, Yijun Wang, Bin Weng +1

We have proposed to develop a global hybrid deep learning framework to predict the daily prices in the stock market. With representation learning, we derived an embedding called St…