scan = chg >= percent; In words, the change difference (NOW minus the B4) divided by the original (B4) value times 100. Regression Testing - Meaning, Types & Tools Explained | Hero Vired Before and after pics are shown. Each of the three above have the format of starting the comparison at 'Zero Percent'. The syntax is: If(double condition, double true value, double false value); This is the simplest and easiest to use. case increase: def crossingup = price crosses above avg; Also labels are valuable for clarifications. plot trendLine = if start then startPrice else if end then endPrice else double.nan; Def DayOfWeek = GetDayOfWeek(First(yyyymmdd)); #Mon =1, Tues =2, Wed = 3, Thurs = 4, Fri = 5, Sat = 6, Sun = 7, Comment 1: 'SecondsFromTime' and 'Seconds TillTime' work smoothly during market hours but beware after-hours. try to create a trendline along up and downs of this reg trend line and i see some interesting patterns. def barnumber = BarNumber(); ', Alternate 1 = Stocks in top 10 percentile of their 52-week high-low range, Alternate 2 = Stocks between 47% and 53% (or the middle of) their 52-week-high-low range, Alternate 3 = scan to find stocks which made new 20-day-low, Alternate 1: Stocks that have a RSI under 20 for 3 days and a closing price above the 200 SMA, Plot scan = (RSIWilder(length = 2) < 20 && RSIWilder(length = 2)[1] < 20 && RSIWilder(length = [2] < 20 && Close > SimpleMovingAvg(length = 200)), Alternate 2: stocks that have a 3-day RSI under 20 a closing price above the 200 SMA, Plot Scan =(RSIWilder(length = 3) < 20 && Close > SimpleMovingAvg(length = 200)). The Standard Deviation (SD) is used frequently in TOS studies and its concept needs understanding.If you have 100 random datapoints, they combine to have an average (a single value). Labels allow you to look at the chart and verify the values. else if price == low then "The price-variable selected is low = " + Round(low,2) def MarketOpen = NineThirty > 0 && NineThirty [1] 0; The tags listed under 'TAGS and their PURPOSE:' may be used to format the desired text. Specify the threshold for the overbought-oversold value desired. You may need to learn other ways of specifying aggregation to read other peoples code such as in the built-in DailySMA. declare lower; Vary the "width of channel" and length to suit your own preferences. The distance of each of the 100 datapoints from the average is used to calculate (via a mildly complex formula) what is called the Standard Deviation (often abbreviated as SD). http://en.wikipedia.org/wiki/List_of_colors:_A%E2%80%93F or http://en.wikipedia.org/wiki/X11_color_names . Much credit and thanks are due those people. That is, that a data distribution with a 1 standard deviation (SD) contains 68% of all data. else if price == low then "low" In this example, 'nice' was used. Uses the data of the entire plot. This is a very easy way toimplement these scans since all the parameters are presented for easy assgnment. Visible. The datapoints are assumed to be a normal distribution curve (is prevalent in most statistical analyses). Learn all about VIP membership, To access the premium indicators, which are plug and play ready, sign up for VIP membership. crossup.setPaintingStrategy(paintingStrategy.BOOLEAN_ARROW_UP); The Linear Regression Slope study displays expected price change based on linear regression analysis using the least squares method. A distance of +/- 3 SD from the average will include 99.7% of the 100 datapoints(0.997 X 100 = 99.7).
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