The BrainTrader system uses innovative computer programming techniques known as Artificial Neural Networks (ANNs) to learn how markets behave. ANNs are very complicated and mathematical in nature, but the basic concept is to emulate the working of the human brain in order to have the computer learn from its environment.
Artifical Neural Networks
Neural Networks are used in many different applications such as military target recognition, data mining, and risk analysis. It is also estimated that as much as $250 billion is currently being managed by similar sophisticated computer tools. These include neural nets, expert systems (investment acumen distilled into rules of thumb), and genetic algorithms.
BrainTrader uses an ANN that has been trained on a selected stock market index, combined with a solid trading strategy to achieve its superior results. Please visit our Concepts section to learn more.
Our System Adapts and Learns
A Neural Network is based on the principles of Artificial Intelligence. Basically it analyzes a large amount of data and learns from it, based on desired outputs that the user is searching for. The system then evolves as it receives new data.
In theory, a neural network becomes "smarter" over time, as it learns more about the data and the patterns within it. Although, these nets must be re-trained at certain intervals to reassess new, recent patterns, that may be developing. These patterns are not like the ones you see when you look at a chart; they're much more deeply involved, and no one person could possibly pick them up, due to their incredible involvement.