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might be interpreted as unclear.
click on each
image to expand into a new window
Conventional
techniques usually focus on specific levels when dealing with indicators, so
that key levels separate “overbought” from neutral or “oversold” from neutral.
If an indicator is 0.000001 under the overbought level then it is only neutral
still. No matter where the overbought/oversold level is set, this approach is
crude. Safir´s Fuzzy Logic divides the range into much finer areas, so-called
Fuzzy Sets.
An indicator
using the Fuzzy Logic system is not just overbought or oversold, but might also
be “somewhat overbought”, or “somewhat oversold“. Safir finds these areas due
to the percentage distribution of the indicator.
Dividing a range
of indicator values into many sections is only a first step of the concept,
there is still the question of how this is done, and what to do with the
information once the sets are decided. In particular, the question remains of
how to use the various possible combinations of indicators. Using this kind of
technique the number of possible combinations can easily exceed the number a
programmer can grasp or can be programmed with conventional methods.
click on image
to expand into a new window
The trading
system would take a lot of development time
using
the conventional approach. Safir-Xp
applies
neuronalen training techniques (thus
the expression NeuroFuzzy) to sort out the combinations. This training process
compares
the maximum possible result for a defined period with the result achieved with
the present Fuzzy configuration. The maximum possible result is calculated with
the ZigZag indicator, which
returns
the optimal minimum length of move for a trade.
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