deeptradingfx/stocks-predictor

Stock Trend Predictor

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.

Files

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.

Libraries

This project uses the following library:

[Keras] {https://keras.io/}

Pandas

Scikit-Learn

SciPy