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cs.LG2026
Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning
Manuel Noseda, Nathan Soldati, Marco Paina
Predicting stock price movements during Earnings Announcements (EAs) is a significant challenge due to market noise and high-impact price discontinuities. In this study, we evaluat…
cs.LG2025
Federated Learning for Financial Forecasting
Manuel Noseda, Alberto De Luca, Lukas Von Briel +1
This paper studies Federated Learning (FL) for binary classification of volatile financial market trends. Using a shared Long Short-Term Memory (LSTM) classifier, we compare three…