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http://avis-c.gluk.org

Genetic algorithms can also simply build neural networks. In that case neural network structure does not depend on generic algorithm but on sequence of examples that were used by the generic algorithm during training.

I wrote two trade systems for US guys as off-shore.

Yes, I did. http://avis-c.gluk.org

Who can argue with that? However, what happen if Neural Networks would be trained not only on indicator values but and with those additional data like oil prices, economic data and so on? And if we take into account that computational capability of NN is not limited with only 5-7 variables like...

Machine learning is great help to develop patterns that represent complex relationships in information-saturated financial markets. During analysis NN compares existing stock-trading patterns with previous situations and generates trade signals. In other words, NN searches out linkages between...

http://avis-c.gluk.org

Pattern-recognition software works well if it is software that can do that. AI and neural network can coupe with that. Suppose you selected a set of indicators that you think sufficiently reflect market up and down trends. You examine historical data and mark places where trends change their...

Artificial Foreteller. http://avis-c.gluk.org

If you non-programmer and would like to backtest then Artificial Foreteller could help you. It forms trade strategy based on training session. Then it generates trade signal and assesses situation. It also provides charts for a set of indicators.

That is a matter of taste and objectives. I'm using VC++. It has a huge set of MFC and let me use list structures for data handling.

Take a look at http://avis-c.gluk.org

That is a good reason to have a personal system for stock analysis.

Yes, I took part in development of this approach. Before I developed software for strategy backtesting and found that neural network is much better do this work.

Neural software is a great help in backtesting of a trade strategy from my point of view. How does it work? Neural network is formed on the same indicators set as the strategy that should be backtested. In that case neural network represents trade strategy that was formed based on trade...

Look at the site: http://avis-c.gluk.org Described system Artificial Foreteller is based on neural network that is trained at historical data. It generates sell/buy signal by analyzing previous 15-20 ticks.

You can look at http://avis-c.gluk.org There you find software that generates chart and gives you buy/sell signals.

I did that and programmed indicators for several traders. They used my programs for trade and backtesting without problem. There is only one problem with that - you should find reliable people. That's it.

That's an actually worked system. Pertaining to continual changing structure - it's not actually true. The system changes it NN structure only during training session. That means user can retrain or enter new information that can be used as additional data that can be reflected in NN structure...

Please check http://avis-c.gluk.org I think that it can be quite informative for you.