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 problemand 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.