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NLP Text Stock Prediction

Stock price prediction using LSTM and BERT models to analyze daily news headlines and forecast stock movement.

NLP Text Stock Prediction

This project uses LSTM and BERT models to analyze the context of daily news headlines for stock movement forecasting.

  • Aggregated and processed over 100,000 news articles, aligning them with historical stock data from the S&P 500.
  • Developed a baseline LSTM model using stock data and an advanced hybrid model combining LSTM with BERT embeddings of news headlines.
  • Implemented a custom tokenization strategy to handle BERT token limits and create daily news embeddings representing each day’s context.