lstm_stock_prediction

This is the repo for my master's thesis using LSTM-based models and sentment analysis.

Project highlight

Duration: 5 months

Languages: Python

Top used libraries: Keras, PyTorch, Numpy, Pandas, Selenium

Models: (1) LSTM (2) Bert Transformer

Dataset: TBD

IDE: VScode, Windows 10, Mac OS, git

Project objective and result

Objective: Verify whether using relavant business news sentiment analysis can improve the stock prediction.

Result: Business news sentiment analysis will improve the stock prediction.

Visualization

more info are coming...