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Hold onto your seats, because oscillators have a reputation for being a little wild, but I ll do my best to give you a smooth ride

For a given value of c, the ellipse in x coordinates is x2 x2 1 2 2 2 + 2 c 1 2 The ellipse in w coordinates is w P 1 w c2 (4135) (4134)

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Name: Relative Strength Index (RSI) Where to find: wwwstockchartscom or any chart program Default settings: 14-day time period Time period: Daily or weekly Favorite market: Choppy The Lighter Side: RSI, which I nicknamed The Drama King, can be really unpredictable at times If you follow this butterfly too closely, you can get whipsawed

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The RSI indicator helps determine if the market or individual stocks have been overbought or oversold

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1 Type wwwstockchartscom in your Web address line (or open any chart program) 2 On the right side of the screen, type $SPX, the S&P 500 index 3 When the chart appears, RSI should appear in the indicator window at the top of the chart as a single line (If it doesn t appear automatically, select RSI from the drop-down menu under the Indicators tab Press the Update button) 4 It should look something like Figure 34

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Figure 45: Distributions of the v, x, w variables from Example 424 with the 50% and 95% ellipses indicated The ellipses de ned by eqns (4134) and (4135) each contain the same area 1 2 c2 which is distinct from the area enclosed by the circle of radius c in the v coordinates The ellipse in w coordinates can be drawn numerically by selecting vectors v on the circle of radius c and transforming those vectors according to w = U v The locus of points around the circle of radius c in the v coordinates will transform to the ellipse of eqn (4135) This procedure is demonstrated in the following example Example 424 Consider the situation where cov(w) = P = 1 3 3 16

1 Overbought: If the RSI line rises above 70, that s an overbought signal 2 Oversold: If the RSI line drops below 30, that s an oversold signal

which has n = 1m, e = 4m, and the correlation coe cient between w1 and w2 is 075 The decomposition of P, computed by use of the singular value decomposition, is U= 01891 09820 09820 01891 and = 40716 00000 00000 06498

RSI (14) 4694

The left graph of Figure 45 displays a scatter plot distribution for 200 samples of v where the components of are iid Gaussian (pseudo) random variables with unit variance The density of v is shown in eqn (4132)The graph also shows the circles expected to contain 50% and 95% of the samples In the experiment shown 97 of the 200 samples (ie, 485%) are within the CEP circle and 191 of 200 (ie, 955%) of the samples are within the R95 circle Lastly, the gure indicates vectors along the v frame axes The center and right graphes of Figure 45 displays a scatter plot distribution for the resulting 200 samples of x and w, respectively In each

graph, the 50% and 95% ellipses are indicated as are the transformations of the v frame axes The previous analysis of this section has discussed the computation of 2 2 the 50% and 95% uncertainty ellipses When the variances 1 = 2 = 2 are equal then RCEP = 11774 and R95 = 24477

Aide (CNA or Orderly)

90 70 50 4694 30 10 1200 1180 1160 1140 1120 1100 109531 1080 1060

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