GoldenGem
From GoldenGem, the free neural network
2. Locate the label which says 'Related Group of Tickers.' Beneath this, delete the sample list of tickers which may be there, and enter the names of the tickers you are interested in analyzing, in capital letters, and separated by commas.
3. Choose a data source from the File: button at the top of the program. The simplest possibility is 'Load from Internet.' The program knows how to search the standard list of public domain websites including Google, Yahoo and MSN. If you are happy with this selection, press the 'Load' button. (The use of share data from these sources is just a beginners' tool; it is expected that you will later graduate from technical analysis to fundamental analysis finding your own data from other websites; click here to find out how to do this.)
4. Use the up and down arrows on your keyboard to choose which of the the various graphs you wish to see,or you can use the drop-down menu button, near the letters TK to the right of the screen.
5. You will see three coloured traces on each graph. The red trace is the graph of the selected share price throughout two years of historical time. The green graph shows the neural net's use of artificial intelligence to predict the red graph, throughout historical time, simultaneously combining all loaded volume and price information of all the shares. There is also a blue graph, which shows where the green graph would go if it were predicting perfectly.
6. Increase the sensitivity and wait until the green graph matches the blue graph, then decrease the sensitivity to zero (the bottom of the slider). This is best done in stages, over many iterations, as you are removing the training input. Displayed advice will appear from time-to-time above the graph to help you do this, and an 'autotrain' button which will do it automatically. There are also two indicator lights that help assess the correlation during backtesting. If the green and blue graphs match well when sensitivity is zero, this means the green curve has learned how to predict the advance copy of the red curve throughout historical time, by looking only at effects as many days in the past as you have selected on the Days slider. The green curve does not therefore need to finish at the 'Loaded Until' date, but can continue the calculation for an equal number of days yet to come.
7. The numerical prediction for the future increase or decrease will also be shown at the upper right of the display. A text display will say, for instance: Predicted change over the next 15 business days: +2.35.
