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Therefore, a curve t in the frequency domain, of the theoretical model for SY from eqn (4140) to the PSD data computed from Y provides the estimates of N and K Example 426 Figure 46 displays a graph of eqn (4140) along with its 2 component parts N 2 and K2 From the graph, N 2 is the approximately 00045and K 2 is approximately 10 10 4 The instrument speci cation parameters are sometimes referred to as Allan variance parameters This name refers to the Allan variance method

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1 Overbought: If the slower %D line (the solid black line) rises above 80, look for an opportunity to sell Note: the dotted gray line (which might show up as red on the computer screen), is the faster %K line 2 Oversold: If the slower %D line drops below 20, look for an opportunity to buy 3 Note: These are not actionable trades, but only guidelines Always use other indicators to confirm before buying or selling 4 Important hint: Overbought and oversold are relative terms, depending on market conditions The market can remain overbought or oversold for long time periods Also, 80 and 20 are guidelines and may adjust upward or downward, depending on market conditions

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that is an alternative approach from the PSD for processing the data set Y to estimate the parameters of the stochastic error model The Allan variance method was originally de ned as a means to quantify clock (or oscillator) stability

Ralph Dystant, a Chicago dentist who also ran a technical analysis educators group, was reportedly the first to create Stochastics After Dystant s untimely death, his teaching assistant, George Lane, continued to make improvements to the Stochastics formula, and he also wrote numerous articles on how to use it, thus making it even more popular Tim Slater, who belonged to a group that helped develop numerous indicators in the 1970s, was the first to coin the name Stochastics

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This example analyzes the growth of uncertainty as measured by error variance in a simple unaided inertial navigation system The example will illustrate that the analysis methods of this chapter allow quantitative analysis of each contribution to the system error to be considered in isolation Consider a one dimensional single accelerometer inertial navigation system (INS) implemented in an inertial frame The actual system equations are p(t) = v(t) (4141) v(t) = a(t) An accelerometer is available that provides the measurement u(t) = a(t) b(t) va (t) (4142)

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Stochastics is the favorite indicator of many short-term traders, but it s even more volatile than RSI The reason It s the formula: RSI uses only one line, while Stochastics uses two or three Also, because RSI and Stochastics are so similar, many traders choose one of these oscillators but not both One is not necessarily better than the other Many traders like Stochastics because it provides accurate and usually reliable overbought or oversold levels It also helps traders identify when the current trend might end or begin Keep in mind that Stochastics, although it can be used to generate market signals, is primarily used with individual stocks If this is your first experience with Stochastics, be ready, because this indicator generates a lot of signals The following is a brief overview of some of the most important ones: 1 First, you ll notice that Stochastics is displayed as two lines, a %D (the slower line) and %K (the faster line) That s right, it comes in two speeds, slow and fast 2 When you use Stochastics, keep your eye on the slower, black %D line That is the line that will give you the most significant signals And because it s slower, it will be less choppy and easier to use 3 The most popular signal, as mentioned above, is when %D rises above 80 or drops below 20 This is significant, indicating that an index or individual stock is overbought or oversold

2 va is Gaussian white noise with PSD equal to va = 25 10 3 m2 s3 ;

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