Visualization of One of the Neural Network Topologies in TradingSolutions

The advantage to using neural networks can be found in the complexity of the patterns they can identify. This includes patterns that cannot be seen in charts and patterns that could not be easily described through manually entered rules.

In addition to neural networks, TradingSolutions also uses genetic algorithms – a sophisticated search technology that allows TradingSolutions to intelligently search through potential settings of neural networks and trading systems to optimize the profit and consistency of the historical trades*.

The combination of these two technologies makes TradingSolutions a powerful and accurate market timing solution.

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* Hypothetical performance results have many inherent limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particularly trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk. Variables such as the ability to adhere to a particular trading program in spite of trading losses as well as maintaining adequate liquidity are material points which can adversely affect actual real trading results.