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The Moneybee® Forecasts
Once a net has been trained successfully, it submits its results to our central
database, the BienenStock® . The results essentially only reflect threshold
values and weightings. Since these are pure numbers, that are also compressed,
the result file is not very large: neural networks hardly carry any ballast
with them.
In the BienenStock® , we can quickly reconstruct and use the neural
network on the basis of the result values - the actual forecast is even
quicker: within milliseconds a stock price diagram of the current day passes
through the network and submits the forecast for the future - in the same way
the network has practiced it millions of times and has learnt from it. On the
basis of the quality of the past few days, the quality of the network is tested
again - if it is bad, it is filtered out. Only good nets are used for the forecast.
The quality of the nets is determined by comparing the values that actually
occurred with those for the forecasts. What is calculated is how many forecasts
(in percent) corresponded to the real values within a certain tolerance range
(variation). The quality value in percent therefore states: "With a probability
of XX%, this forecast will be accurate" - those are the percentages in the forecast
table behind the actual forecast. The quality in the Upper
left-hand Honeycomb of the screensaver is ascertained somewhat differently.
For each forecast period (one day, one week, 30 day forecast) other tolerance
values have to be defined. In our explanation
one can see how the quality of the forecasts is calculated individually.
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