Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

24 Sep 2019Daiki MatsunagaToyotaro SuzumuraToshihiro Takahashi

Recently, there has been a surge of interest in the use of machine learning to help aid in the accurate predictions of financial markets. Despite the exciting advances in this cross-section of finance and AI, many of the current approaches are limited to using technical analysis to capture historical trends of each stock price and thus limited to certain experimental setups to obtain good prediction results... (read more)

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