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Deep Learning Models Predict Stock Price Direction Using Multi-modal Data

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a multi-modal deep learning approach to predict stock price direction on earnings announcement days. The study combines fundamental metrics, technical indicators, and sentiment analysis from financial news processed by FinBERT. Both LSTM and Transformer architectures were evaluated, with the Transformer showing superior sensitivity to volatile movements and a higher F1-score, demonstrating a consistent benefit from incorporating news sentiment. AI

IMPACT This research demonstrates the potential of multi-modal deep learning, specifically incorporating news sentiment, to improve financial market predictions.

RANK_REASON The cluster contains an academic paper detailing a new research methodology and model evaluation.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Deep Learning Models Predict Stock Price Direction Using Multi-modal Data

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The cluster contains an academic paper detailing a new research methodology and model evaluation.
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paper, model release
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136 days old
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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Manuel Noseda, Nathan Soldati, Marco Paina ·

    Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning

    arXiv:2605.25894v1 Announce Type: new Abstract: 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 evaluate whether pre-announcement news sentiment, firm fund…

  2. arXiv cs.LG TIER_1 English(EN) · Marco Paina ·

    Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning

    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 evaluate whether pre-announcement news sentiment, firm fundamentals, and recent market dynamics jointly pre…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning

    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 evaluate whether pre-announcement news sentiment, firm fundamentals, and recent market dynamics jointly pre…

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