GAIN Artificial Intelligence

Statistical surveys of financial market time series' show clear evidence that they partly follow complex, nonlinear relationships of the influencing variables. A human himself is usually not able to capture those nonlinear patterns.

Learning, adaptive algorithms are needed to identify and learn these relationships and to forecast the evolution of the patterns in the time-series into the future. Due to the adaptive optimization algorithms, also known as artificial intelligence methods, employed in this package users can create a robust, adaptive analysis model for different kinds of data.

The used techniques facilitate the identification of hard to recognize relationships in databases and data sources that can be used for the development of better strategies.

Due to a license agreement with the SNNS development team, AIM Software has ensured access to the integration of the most sophisticated and extensively tested neural network libraries into its software.

Characteristics

For the first time a software product comprises all areas needed for a financial analysis system built on artificial intelligence, like:

• the retrieval of the data
• the pre-processing
• the forecasting of the data
• the post-processing of the model-output
• the visualization of the results

Features of the AI Module

• Functions to learn the patterns and cycles in timeseries
• Transparent use of Neural Networks combined with graphical visualization of the network structure, the connections and the activity levels of all neurons
• Several net types supported
• Use of multi-net systems to analyze different aspects in one system