68 citations · 223 across the 25 of their papers we have counts for
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q-fin.ST2022
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements
Jia Wang, Hongwei Zhu, Jiancheng Shen +2
It is a challenging task to predict financial markets. The complexity of this task is mainly due to the interaction between financial markets and market participants, who are not a…
q-fin.ST2021★ 68 cited
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Jia Wang, Tong Sun, Benyuan Liu +2
Financial markets are a complex dynamical system. The complexity comes from the interaction between a market and its participants, in other words, the integrated outcome of activit…
q-fin.ST2021★ 66 cited
Financial Markets Prediction with Deep Learning
Jia Wang, Tong Sun, Benyuan Liu +2
Financial markets are difficult to predict due to its complex systems dynamics. Although there have been some recent studies that use machine learning techniques for financial mark…