Dylan Shenghong Huang

Performance-Aware Deep Learning for Stock Trend Prediction and Investment Decision-Making

Deep learning methods are increasingly being applied to stock market prediction, with growing evidence that they can extract useful structure from financial time-series and related textual signals. However, prediction alone is not sufficient. In practice, model outputs must also...

Performance-Aware Deep Learning for Stock Trend Prediction and Investment Decision-Making

Deep learning methods are increasingly being applied to stock market prediction, with growing evidence that they can extract useful structure from financial time-series and related textual signals. However, prediction alone is not sufficient. In practice, model outputs must also...

Performance-Aware Deep Learning for Stock Trend Prediction and Investment Decision-Making

Deep learning methods are increasingly being applied to stock market prediction, with growing evidence that they can extract useful structure from financial time-series and related textual signals. However, prediction alone is not sufficient. In practice, model outputs must also...