ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement

Mathematics

• Stock Market 100%
• Movement 75%
• Neural Networks 70%
• Modeling 48%
• Forecasting 34%
• Graph in graph theory 27%
• Time Series Prediction 23%
• Volatiles 23%
• Hybrid Model 20%
• Stock Prices 20%
• Memory Term 19%
• Forecast 17%
• Interconnection 16%
• Adjacency 16%
• Baseline 16%
• Business 16%
• Large Set 15%
• Trends 14%
• Model 14%
• Clustering 14%
• Trivial 11%
• Experiment 11%
• Tend 11%
• Observation 9%
• Design 9%
• Demonstrate 8%
• Framework 8%

Engineering & Materials Science

• Financial markets 90%
• Deep neural networks 72%
• Graph structures 23%
• Long short-term memory 21%
• Time series 16%
• Pipelines 14%
• Experiments 6%