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The books below should help you expand your knowledge about the stock market, including learning more about market indicators: Technical Analysis Plain and Simple (FT Press, 3rd edition, 2010), by Michael Kahn: An easy-to-read introduction to technical analysis and market indicators

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Figure 62: Results of the covariance analysis of Example 61 for R = 625 m2 The standard deviation of each component of the estimated state is plotted versus time in the left column Actual performance is indicated by the bold dotted curve The performance predicted by the implemented lter is the solid narrow curve The right column plots the Kalman lter gains versus time x = (x x) can be de ned and the covariance matrix propagation equations for the error state simplify considerably to M k+1 M+ k = = M+ + Qdk k I Kk Hk M I Hk Kk k + Kk Rk Kk (626) (627)

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How to Make Money in Stocks (McGraw-Hill, 4th edition, 2009), by William J O Neil: This bestseller shows investors how to profit in the market by using a rule-based, systematic approach The Visual Investor: How to Spot Market Trends (Wiley, 2009), by John J Murphy: A thoughtful introduction to technical analysis and the nuances of using market indicators Market Indicators: The Best-Kept Secret to More Effective Trading and Investing (Bloomberg, 2009), by Richard Sipley: An understandable and well-researched book for helping longterm investors use market indicators A Beginner s Guide to Short-Term Trading (Adams Media, 2008), by Toni Turner: An easy-to-read bestseller aimed at novice traders about short-term trading tactics and tools, including market indicators Market Wizards (Marketplace Books, classic edition, 2006) and The New Market Wizards (Marketplace Books, 2008), by Jack Schwager: The author delves into the minds of successful traders in these two classics The Secrets of Economic Indicators (Wharton, 2007), by Bernard Baumohl: A detailed but easy-to-read guide to helping investors use and interpret economic indicators Reminiscences of a Stock Operator (Wiley, revised edition, 2006), by Edwin Lef vre: A must-read classic about the trading adventures of legendary trader Jesse Livermore This book is as relevant today as it was in the early 1920s When Genius Failed (Random House, 2001), by Roger Lowenstein: Bestseller about the rise and fall of Long-Term Capital Management, a hedge fund run by some of the smartest people in the country Extraordinary Popular Delusions and the Madness of Crowds (Wiley, 1995), by Charles MacKay: This classic, originally written in the nineteenth century, proves that human behavior never seems to change, which makes this book so valuable Trading for a Living (Wiley, 1993), by Alexander Elder: A bestselling book on the psychological challenges of the market as well as how to use market indicators when trading.

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where M = cov( , x) These equations will be used to support the discusx sion of Section 63 In that section, to simplify the notation, all subscript k s in eqn (627) will be dropped To test the robustness of the lter design to model assumptions, the covariance analysis may be repeated for various instances of the design model assumptions For example, because the values of Qdk and Rk in eqns (66-68) and Qdk and Rk in eqns (626-627) can be distinct, the

latter set of equations can be used to study the state estimation accuracy versus the variance of a component of the process or measurement noise This leads into the idea of Monte Carlo analysis that is brie y discussed in Section 62

Stock Trader s Almanac (Wiley), by Jeffrey A Hirsch and Yale Hirsch: A popular yearly almanac loaded with calendar-based indicators, including graphs, historical charts, market data, and economic events