Authors: Redi Vildo dos Santos Rosa e Guilherme Rosa Ziolle
This is "Stock Trend Predictor" - It is the final assignment for MO444A - Machine Learning and Pattern Recognition.
The goal is to predict the trends of a stock - if is goes up or down.
BovespaParser.py - parses the data retrieved from Bovespa(Bolsa de Valores de São Paulo)
moving_avg_pred.py - Predicts the trends using Exponential Moving Average.
random_forest_pred.py - Predicts the trends using a Random Forest.
lstm_pred - Predicts the trends using a LSTM Network.
This project uses the following library:
[Keras] {https://keras.io/}