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b is the random walk process b = b (t)

the distribution of the initial bias is b(0) N (0, Pb0 ) The plant state vector is x = [p, v, b] The implemented navigation equations are p(t) = v (t) (t) = a(t) v (4143)

Although dozens of indicators are discussed in this book, including more in 12, I m going to introduce you to the most popular market indicators If you ve never used a chart before, you re in the right place Since you already know that every indicator tells a story, I had a little fun by giving each indicator its own nickname and personality Ready Let s get started learning about the first set of indicators, which are appropriately named Reverse Psychology

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where a(t) = u(t) + and is the best estimate of the accelerometer b(t) b(t) bias b that is available at time t These equations are integrated forward in time starting from the expected initial conditions where we assume that p(0) N (p0 , Pp0 ) and v(0) N (v0 , Pv0 ) The navigation system state vector is x = [ , v , where the di erential equation for is = 0 because p b] b b the mean of b is zero

CHAPTER 4 STOCHASTIC PROCESSES states p = p p, v = 0 1 0 (459) in Section 461 00 00 00 25 10 3 00 00 00 00 10 10 6 0 0 1

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fueled by the fear, greed, and hope of millions of market participants So it should not be surprising that the market indicators in this chapter are used to monitor what the crowd is feeling These indicators are perhaps the easiest to read and understand, but they can give you the most revealing clues, especially at market extremes Knowing when the crowds are panicked or overconfident is essential if you are going to enter the market The stock market is psychological warfare, and you d better know what others are thinking before you enter The following indicators are commonly referred to as sentiment indicators because they monitor the sentiment, or psychology, of the market And as you ll soon find out, it s an Alice in Wonderland kind of world, where up is down and down is up Traders and investors closely follow the first indicator, the AAII Sentiment Survey

Therefore, the dynamic equations for the error v v , b = b are b p(t) 0 1 0 x(t) = v(t) = 0 0 1 x(t) + 0 0 0 b(t) F and using the de nition of Q in eqn 0 0 0 2 0 = Q = 0 va 2 0 0 b

Name: American Association of Individual Investors (AAII) Where to find: wwwaaiicom/sentimentsurvey, Barron s, Forbes, and other financial periodicals

va (t) b (t)

For any time t, due to the fact that in this example F and are time invariant, the state error covariance can be found in closed form as

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