This project builds a dense neural network in Python to predict short-term stock returns based on historical and macroeconomic features. Techniques include data preprocessing, normalization, hyperparameter tuning, and performance evaluation.
Tools: Python, TensorFlow, NumPy, Pandas, Matplotlib