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:
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 2008. Each stage of development process will be provided
for discussion.
Interested
parties can contact us at:e-mail
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