Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
📰 ArXiv cs.AI
Researchers propose a stock price prediction model combining Large Language Models (LLMs) with daily financial news using stock name embeddings
Action Steps
- Utilize Large Language Models (LLMs) for stock price prediction
- Integrate daily financial news data into the model
- Apply stock name embeddings to process and identify relevant news content
- Train and evaluate the model using historical stock price data
Who Needs to Know This
Quantitative analysts and data scientists on a finance team can benefit from this approach to improve stock price prediction accuracy, while software engineers can implement the proposed model
Key Insight
💡 Combining LLMs with news data can improve stock price prediction accuracy
Share This
💡 LLMs + news fusion for stock price prediction
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