Stock Prediction with Deep Time-Series Models
Undergraduate Researcher · Applied Statistics Lab, Hanyang University (Nov 2023 – Dec 2024)
Implemented and compared deep learning models for stock price prediction using PyTorch.
- Implemented LSTM, GRU, and BERT-based models for stock prediction, incorporating technical indicators and news data.
- Participated in collaborative study sessions on time-series modeling and machine learning, including peer-led presentations and discussions.