Machine learning techniques for predicting the stock market using daily market variables

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence

Bibliographic Details
Main Author: Rita, Nicole Oliveira (author)
Format: masterThesis
Language:eng
Published: 2020
Subjects:
LSTM
Machine Learning
Prediction
Stock Market
Time Series
Forecasting
Algorithms
Regression
Bolsa
Prever
Aprendizagem Automática
Algoritmos
Regressão
Online Access:http://hdl.handle.net/10362/94992
Country:Portugal
Oai:oai:run.unl.pt:10362/94992

Internet

http://hdl.handle.net/10362/94992

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