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2010.01197
Cited By

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

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

29 September 2020

Aleksandr Vinel

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

Stock Embeddings: Learning Distributed Representations for Financial
Assets

Stock Embeddings: Learning Distributed Representations for Financial Assets

137

10

0

14 Feb 2022

Stock2Vec: An Embedding to Improve Predictive Models for Companies

Stock2Vec: An Embedding to Improve Predictive Models for Companies

Kaz-Onyeakazi Ijeoma

107

3

0

27 Jan 2022

AI in Finance: Challenges, Techniques and Opportunities

AI in Finance: Challenges, Techniques and OpportunitiesACM Computing Surveys (CSUR), 2021

174

348

0

20 Jul 2021

A Generic Methodology for the Statistically Uniform & Comparable
Evaluation of Automated Trading Platform Components

A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform ComponentsExpert systems with applications (ESWA), 2020

272

3

0

21 Sep 2020