Chart of Current Price and Predicted Prices

Price Predicting Transformer

  • Category: Machine Learning
  • Tools & Frameworks: NumPy, PyTorch
  • Project Duration: Feb-March, 2024


  • Developed a Transformer-based model to predict stock prices by capturing intricate patterns and long-range dependencies in financial time series data.
  • Designed and implemented a Transformer model with multiple attention heads and feedforward layers, enabling the capture of complex dependencies in data.
  • Trained the model on a substantial dataset with over 21 million sequences with varying sequence lengths.
  • Gained expertise in Transformer architecture and self-attention mechanisms, enhancing the ability to model complex sequential data.