Investment forecasts for stocks and mutual funds
Howard Phillips, PhD
The purpose of this site is to demonstrate that forecasting
accuracy can be consistently higher than 60% using
financial engineering, a new field of engineering
forecasting theory. In actual practice, the forecasting
accuracy of these predictions typically runs in the
range of 70%, 80% and even higher, depending on market
conditions and the existence of trends.
Forecasts are provided for users having an interest in
forecasting stock share prices and mutual fund NAV prices.
These forecasts are based on research using forecasting
theory, artificial intelligence and filtering techniques to
separate order from disorder in the price movements. The
goal of this research is to maintain a high forecasting
accuracy. This information is not copyrighted or
otherwise protected. Neither the author nor any
organization assumes liability for the use of these
forecasts.
Click here for more info
about forecasts.
3-Star award received from Magellan, after more than
40,000 internet web site reviews. Award based on depth of
content, ease of exploration and net appeal.
Howard Phillips (hphillip@uncc.edu)