Predicting The Unpredictable

by Thomas Berghage & George Olander

Discover how artificial intelligence has

helped the authors beat the S&P 500

for 17 consecutive years.

The world of financial analysis runs on belief in the predictive power of the measures used to analyze corporate performance.

However, a comparison of past recommendations with actual market performance reveals that the advice given by brokers is only slightly

more reliable than the flip of a coin. In reality, there is very little correlation between traditional financial measures like earnings

growth, sales growth, and intrinsic value and the actual performance of stocks in the marketplace.

This is not to say that the future performance of stocks is hopelessly unpredictable. Instead, the authors argue that variables dismissed

by traditional financial measures as inconsequential actually have a serious impact on stock performance. Predictability is not

impossible, but it may be outside the realm of human capabilities.  Confident that something other than chance and irrational investors

determine future stock prices, several research groups around the world have started exploring the use of intelligent computer

programs (programs that self-organize based on environmental feedback) in financial analysis.  Predicting the Unpredictable looks at the stock analysis problem

and explores one of the more successful efforts to harness the new intelligent-computer technology. Thomas Berghage and George

Olander explain how they have made the technology work for them, and how it can be made to work for you.

ISBN 978-0-9792531-5-7, $29.95, 252 pages, 6”x9”, Hardcover.

Available at bookstores nationwide, through all major wholesalers,

and by contacting Acacia Publishing at 866-265-4553 (602-265-4553

in AZ) or online at www.acaciapublishing.com.

Return To Home Page