GoldenGem - Browse and analyze stock market data, using a neural network with significant advantages.Neural networks have proven success quantifying and using relationships between different types of stock market data. The user must know the relationship exists, and must enter a relevant collection of related tickers. Then the user must watch the graphs, and adjust a sensitivity slider and a days slider. It is possible at any time to lower the sensitivity and see the real result of backtesting the prediction throughout historical time, to verify that the net has seen the supposed relationship.
The developers of GoldenGem have overcome a difficulty which, for other neural networks, makes the preformance becomie linear as the number of neurons in level two is increased beyond the number of inputs.
GoldenGem is capable of predicting a complete range of mathematical test functions, with as few as ten inputs (corresponding to 5 close prices and 5 volumes), and as many as 256 neurons in level 2.
[ GoldenGem ScreenShot ]
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