News Release -- How The NASDAQ Selloff Was Forecasted Accurately In February 1999

       
           COMPUTER PREDICTED 94-point NASDAQ SELLOFF 
                  WITH 96% FORECASTING ACCURACY


                           NEWS RELEASE
   For Immediate Release ... February 9, 1999 ...  11 p.m. EST


The NASDAQ has dropped 6.2% since a computer predicted the
event.  The prediction was announced publicly on 2/2/99, one week
before the 94-point drop on 2/9/99.  This sharp selloff was
accurately predicted by an adaptive forecasting computer with a
consistent record of forecasting major market crashes for the
past several years.  This selloff and earlier stock market
crashes on October 27, 1997 and October 31, 1998 were accurately
predicted, announced publicly and posted on the internet.
 
Before this selloff began to accelerate, the market decline was
forecasted with a 96% forecasting accuracy on 2/2/99.  When the
adaptive forecast generated new sell signals for the Dow, the S&P
500 and 25 of 37 business sectors, the financial markets were
poised for a big selloff.   

These forecasts notify investors to take action, prevent losses,
and preserve their investment capital.  The selloffs can either
be very brief or extended over several days.  In either case the
investor can benefit from knowing in advance that price declines
are probable.  

Financial market forecasts are posted publicly each evening on
the internet for investors to consider before the market opens
the following day (  http://www.coe.uncc.edu/~hphillip/  ).    

A book has been written to describe computer-generated financial
forecasting and how to interpret/use the forecasts that are
posted publicly on the internet.

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For additional information:   Phillips & Co.
                              Dr. H. Phillips
                              Voice Telephone:  704-593-1166
                              FAX:  704-593-1002

Photograph available:  http://www.coe.uncc.edu/~hphillip/ 


                                                                    

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Howard Phillips (hphillip@uncc.edu)