A software development project that uses artificial neural networks with the objective of stock market time series forecast analysis. The project started with the Master's Degree dissertation by Manoel Amorim Neto from the Informatics Center at the Federal University of Pernambuco Brazil, with the title: "Financial Time Series Prediction Using Exogenous Series and Combined Neural Networks".

A.I. Stock Trend is one of the outputs of the research project that is being prepared as a business application that supports the decision making process of investors in the Brazilian stock market and FOREX with great initial financial results and forecasting accuracy.

The project shall be an essential resource for the financial business community, specially investment banks and hedge funds. For more details, read more about or contact us at any time