This repository implements machine learning models for quantitative trading and price prediction. It uses deep learning architectures like LSTMs and MD-LSTM for time-series forecasting on financial instruments such as NASDAQ and Bitcoin. The project also includes sentiment analysis on news data combined with recurrent neural networks to inform trading strategies. It employs TensorFlow, Keras, and scikit-learn within a Python pipeline for feature engineering and model training.