## Gallery

- FinancialMADemonstrates the use of the SimpleMovingAverages and GeometricalMovingAverage.
- Aroon IndicatorsDemonstrates the use of Aroon indicators.
- Chaikin IndicatorsDemonstrates the use of Chaikin indicators.
- Commodity Channel IndexDemonstrates the use of financial indicator CommodityChanelIndex.
- CorrelationDemonstrates the use of LeastSquaresRegressionLineX and LeastSquaresRegressionLineY.
- FiltersDemonstrates the use of financial indicators MedianPrice and TypicalPrice.
- ZScoreDemonstrates the use of ZScore indicator.
- TrendlineDerive trend lines from your data.
- Trendline ScatterDerive trend lines from your scatter data.
- Date Trend LineDemonstrates adding a trendline to data with DateTime x values.
- Market StrengthDemonstrates the use of BalanceOfPower financial indicator.
- Financial One Value IndicatorsDemonstrates the use of one-value financial indicators arithmetic mean, geometric mean, standard deviation, mean deviation, range and median.
- Frequency TableDemonstrates the use of statistical procedures to summarize quantitative data from within DataPresentation class.
- OscillatorsDemonstrates the use of financial indicators : Momentum and MoneyFlowIndexOverPeriod.
- Rate ChartsDemonstrates creating a derived series through division of 2 existing series.
- Running SumDemonstrates use of a running sum derived series based on an invisible series.
- Crossing SignalDemonstrates the use of the Crossing Signal indicators within Stochastic.
- Extreme Value SignalDemonstrates the use of the Extreme value signal indicators.
- General LinearDemonstrates the use of GeneralLinear indicator from within forecasting.
- General Linear FitDemonstrates the use of GeneralLinear Forecasting engine in order to find the function of best fit from three functions spaces.
- Logarithmic FittingDemonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
- Non Linear PolynomialDemonstrates the use of NonLinear Forecasting model in order to find the function of best fit.
- Polynomial FittingDemonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
- Polynomial Fitting ExtendedDemonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
- ResidualsDemonstrates the use of LeastSquaresRegressionLineX and LeastSquaresRegressionLineY from within Correlation class.
- Sine Fitting
- StochasticDemonstrates the use of the K% Stochastic and D% Stochastic.
- Trend Line ExponentialDemonstrates the use of TrendLineExponential from within ForecatEngine which find the best fitting exponential curve to sets of data.
- Trend Line Exponential ExtDemonstrates the use of TrendLineExponential from within ForecatEngine which find the best fitting exponential curve to sets of data.
- Trend Line LogarithmicDemonstrates the use of TrendLineLogarithmic from within Forecasting which find the best fitting logarithmical curve to sets of data.
- Trend Line PolynomialDemonstrates the use of TrendLine Forecasting engine in order to find the function of best fit for the seventh degree polynomial.
- Trend Line Polynomial ExtDemonstrates the use of TrendLine Forecasting engine in order to find the function of best fit for the seventh degree polynomial.
- Trend Line PowerDemonstrates the use of TrendLinePower from within Forecasting which find the best fitting power curve to sets of data.
- Volume IndicatorsDemonstrates the use of the Volume indicators.
- ChartArea Data DistributionDemonstrates some quality control features like median, mean and percentile and integrate them within an element in a separate chart area.
- Exponential DistributionDemonstrates the use of ExponentialDistribution method from the StatisticalEngine. This method return the exponential distribution for a series when the standard deviation is known.
- Finite Impulse ResponseDemonstrates the use of financial indicator Finite Impulse Response.
- Log Normal DistributionDemonstrates the use of LognormalDistribution method from the StatisticalEngine. This method return the lognormal distribution for a series when the standard deviation is known.
- Normal DistributionDemonstrates the use of NormalDistribution method from the StatisticalEngine. This method return the normal distribution for a series when the standard deviation is known. The mean is calculated using the arithmetic mean of the XValues of the given series.
- Price Action IndicatorDemonstrates the use of financial indicators AveragePrice and PriceActionIndicator.
- RChartDemonstrates the use of R-Chart and R-XBAR chart.
- Run ChartDemonstrates the Run Chart.
- SChartDemonstrates the use of S-Chart and S-XBAR chart.
- Market Facilitation IndexDemonstrates the use of the Market Facilitation Index indicator.
- Series Data DistributionDemonstrates some quality control features like median, mean and percentile and integrate them within an element.
- Age HistogramDemonstrates the use of statistical procedures for summarize quantitative data from within StatisticalEngine.
- Directional MovementDemonstrates the use of the DM+ and DM-
- DMISignalDemonstrates the use of the DMI Signal indicator.
- Exponential Distribution 1Demonstrates the use of Exponential Distribution within StatisticalEngine.
- Exponential Distribution 2Demonstrates the use of Exponential Distribution and Relative Frequency Table for summarize quantitative data from within StatisticalEngine.
- Financial Kurtosis IndicatorDemonstrates the use of one-value financial indicators kurtosis and skewness.
- Forecast TrafficDemonstrates the use of TrendLine Forecasting engine in a real-world situation for predicting the number of click generated by an on-line add based on past trends.
- HistogramDemonstrates the use of statistical procedures for summarize quantitative data from within StatisticalEngine.
- Normal Distribution 1Demonstrates the use of NormalDistribution within StatisticalEngine.
- Normal Distribution 2Demonstrates the use of NormalDistribution within StatisticalEngine.
- Soft Drinks HistogramDemonstrates the use of statistical procedures for summarize quantitative data from within StatisticalEngine.
- True RangeDemonstrates the use of the TrueRange and DirectionalMotion indicators.
- PearsonDemonstrates the use of LeastSquaresRegressionLineX and LeastSquaresRegressionLineY from
- BesselIDemonstrates the bessel I function.
- BesselJDemonstrates bessel J function.
- BesselKDemonstrates bessel K function.
- BesselYDemonstrates the bessel Y function.
- BetaDemonstrates the beta function.
- GammaPDemonstrates the Gamma P function.
- GammaQDemonstrates the Gamma Q function.
- SMAUsageDemonstrates using a simple moving average over an n number of days.
- Bollinger BandsDemonstrates creating a 5 Day Moving Average and Bollinger Bands chart using live data.