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Finance Forecast

Preprocessor

Neural Net Builder

Interpreter

GUI

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Latest News


 

We continue working on improvement of Artificial Foreteller for better finance prognostics.

To increase data processing speed we are working on splitting process of forecasting into two parallel processes:

  • indicator and other criteria calculations based on tick data flow;
  • prediction of future trade period.

We also working on API interface to feed Artificial Foreteller with data flow through Internet.

We also want to improve training process. For that we want to implement additional category of train data. Periods with small gain or small loss (periods with not very well defined trends) we will mark as "neutral". In that case Associative self-building neural network will be trained on positive, negative, and neutral trade periods.

A demo version of Artificial Foreteller is available at Test Result. and full version is at Products.

We are on the final stage of development of two new systems that will be used for prediction of oil and mineral deposits and solar flare prediction. We are going to finish these systems to the mid of 2014. Each stage of development process will be provided for discussion.

Interested parties can contact us at:e-maiL

 

Home

Finance Forecast

Preprocessor

Neural Net Builder

Interpreter

GUI

Test Results

Latest News

 

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