
Stock AI | Report
This dissertation focused on building LSTM models that can predict stock price values and trends any number of days in the future of any stock index, public company, or cryptocurrency using historical time series of 52 technical indicators. The models from the dissertation had achieved promising results by beating persistence baseline models and by outperforming 6 out of 7 selected research papers in the same domain.