Interpreter
is a superstructure that is built on associative self-building
neural network. It combines tick data feed and neural network
to provide real time and intraday live analysis and foretells.
Artificial Foreteller activates Interpreter only when it predicts
future trade period. Activation process is the following - Preprocessor
examines tick data and generates signal that current trade period
is over. That means trend have already changed its direction.
Preprocessor transmits calculated values of different criteria
to Network Builder that activates corresponding receptors in
receptor layer. Associative self-building network propagates
activating signals from receptor layer upward. Each network
node can be in one of the following state:
-
Node is activated if it gets activated signals from all input
connections (These type of nodes and connections are marked
with red color on Figure below).
-
Node
is partially activated if at least one of its input connections
does not bring activated signal (These type of nodes and connections
are marked with rose color on Figure below).
-
Node
is not activated if all its input connections do not bring
activated signal (These type of nodes and connections are
marked with blue color on Figure below).
If
similar trade periods happened before and they were used for system
train, then part of the network that represents these periods
will be activated. Interpreter compares current situation with
those that were used for train and makes conclusion for the future
trade period.
As
it can be seen from the figure, only a small fragment of associative
self-organazed neural network is activated. This feature of associative
neural network greatly reduces scope of data that interpreter
should process to make conclusion. In the end of activation process
interpreter receives activated signals from upper layer of the
network and analyses activated and partially activated segments
of neural network. Result of interpreter work is a conclusion
whether next trade period is favorable for trade or not.
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