Goldengem is considered to be one of the best of the neural network stock prediction applications.

GoldenGem is a simple no-nonsense program, containing a sophisticated mathematical calculation, which has been very successfully used by a few top traders.

Select tickers, in capitals, separated by commas, including any that may influence the price you wish to analyze. Press Load then Run. Select your ticker on the right.

Select a number of days on the slider. You will see three traces going across the graph. The red trace is the historical price of your chosen ticker. The blue trace is a copy of this, advanced by the number of days on the slider.

The green trace is the neural net's attempt to match the blue curve, but using all loaded prices and volumes from the earlier time indicated by the red trace. Raise the sensitivity until the green and blue curves begin to match, and leave it running.

After a while, you can lower the sensitivity. If the green curve still matches the blue curve, this means the neural net can match the advanced blue curve based on loaded prices and volumes from the earlier time.

GoldenGem can continue this calculation for an interval of time an equal number of days into the future, and therefore give an opinion about the selected ticker at that time.

NOTE: If you wish to use the program for more than one month you will need to obtain a permanent and free license key from GoldenGemNetwork@gmail.com.

Here are some key features of "GoldenGem":

· The trader, wishing to quantify the relationship among a group of stock or share prices, and/or indices, enters the tickers in capital letters, separated by commas.
· The needed historical and real time share price quotes and volumes are looked up and compared automatically.
· The neural network searches for a nonlinear mathematical relationship (pattern) relating the prices and volumes to the ticker of interest, while the user participates by controlling a sensitivity (also called 'momentum') adjustment
· When sensitivity is then set to zero, graphs show two years of correct and rigorous backtesting. through which the user may visually assess whether the relationship is valid throughout historical time.
· The relationship is extended into the future to make a forecast, by the number of days the user has set on the slider during training.
· There is no buy/sell indicator: the reliability of the forecast depends on the user's visual verification of the match between the two graphs obtained during backtesting, and the his estimation of the likelihood that the mathematical relationship which has been found will continue to hold in the future.