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Computation of the radius of the circle expected to contain a given percentage of the points is not straightforward Various approximate formulae exist A few examples follow Let = max( n , e ) and = min( n , e ) De ne = / The rst formula is RCEP = 0589( n + e ) which is accurate to 3% for [02, 10] The second formula is RCEP = 0615 + 0562 which is much more accurate than the previous formula for [03, 10] For [00, 01], RCEP 0675 In addition to the statistics previously discussed, two additional measures are sometimes of interest: drms and 2drms The distance root-meansquare (drms) is the root-mean-square (RMS) value of the norm of the horizontal errors The formula for the drms measure is drms =

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The 2drms error measure is twice the drms value: 2drms = 2(drms) The reason for mentioning the 2drms is that the name is subject to misinterpretation Note in particular that 2drms is not the two-dimensional RMS position error If the horizontal error distribution is circular (ie, n = e = ), then 2 drms = 2drms = 2 2 4913 Scalar Analysis

$SPX (Daily) 109531

Let x represent one component of the position error, the component-wise error density is: 1 x2 p(x) = exp 2 (4136) 2 2 2

3 Note: These are not actionable trades, but only guidelines Always use other indicators to confirm before buying or selling 4 Hint: For a longer-term perspective, change the period to Weekly, and press Update

49 DETAILED EXAMPLES Statistic Radius Probability RMS 393 drms 2 632 2drms 2 2 982 CEP 2 ln(2) 500 R95 2 ln(20) 950

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Table 41: Summary of various horizontal error statistics in w coordinates and their relationships to the error standard deviation assuming a circular error distribution (ie, = I) Given a set of samples {xi }N of the random variable x, the RMS error is i=1 rmsx = x = 1 N

J Welles Wilder introduced the RSI in an article that appeared in Commodities magazine (now Futures magazine) in 1978 Wilder was an airplane mechanic and engineer who eventually became interested in using technical analysis to trade commodities In addition to RSI, Wilder also created the Average True Range, Strength Index, and Directional Movement

(4137)

RSI is a reliable indicator primarily used by short-term traders to try and catch the highs and lows of individual stocks It seems to work best in a trading range, the kind of market that frustrates

For large values of N , the RMS value is expected to converge to From distribution tables for Gaussian random variables (see p 48 in [107]), P rob{|x| < 0674 } = 500% P rob{|x| < 2 } = 955% P rob{|x| < } = 683% P rob{|x| < 3 } = 997%

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Therefore, if the altitude h is estimated to be 100m with = 5m, then the probability that h [95, 105]m is 68%, that h [90, 110]m is 95%, etc 4914 Summary Comparison

long-term investors On the other hand, sharp traders can still find opportunities no matter what the environment Although preferred by short-term traders, RSI can also be used to monitor overbought or oversold market conditions, moving between 0 and 100 RSI is an oscillator, a special type of indicator that fluctuates above and below a centerline Beneath the surface, RSI is based on complicated formulas, but it appears easy to use, primarily because it has only one signal line When RSI rises above 70, it s a signal the market or underlying stock is overbought The tricky part, as you remember, is that the market can remain overbought for extended time periods Some traders use an overbought reading as a potential danger signal Conversely, when the RSI drops below 30, it s a signal the market or the underlying stock is oversold It takes some experience to use RSI because it tends to generate a lot of signals If you want to master RSI (or its cousin, Stochastics), you ll need to do the following: 1 Experiment with the default settings 2 Observe RSI in different market conditions 3 Practice trading before committing real money based on its signals Once again, oscillators such as RSI tend to be used more with individual stocks for a short-term time frame, although it is adaptable to longer-term time periods For some market watchers, the long-term RSI signals are perhaps the most valuable Therefore, some traders change the default time period setting in RSI from daily to weekly to get a longer-term view of the market

Table 41 summarizes the various horizontal error statistics de ned above in relation to the one dimensional error standard deviation The table is useful for converting between error statistics Example 425 If an analyst is interested in nding the R95 error statistic that is equivalent to a stated drms error statistic of 100 m, then from Table 41: 10 drms = 10 = 2 R95 = 10 2ln(20) 2

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