Gallery > Analysis

  • FinancialMA
    Demonstrates the use of the SimpleMovingAverages and GeometricalMovingAverage.
  • Aroon Indicators
    Demonstrates the use of Aroon indicators.
  • Chaikin Indicators
    Demonstrates the use of Chaikin indicators.
  • Commodity Channel Index
    Demonstrates the use of financial indicator CommodityChanelIndex.
  • Correlation
    Demonstrates the use of LeastSquaresRegressionLineX and LeastSquaresRegressionLineY.
  • Filters
    Demonstrates the use of financial indicators MedianPrice and TypicalPrice.
  • ZScore
    Demonstrates the use of ZScore indicator.
  • Trendline
    Derive trend lines from your data.
  • Trendline Scatter
    Derive trend lines from your scatter data.
  • Date Trend Line
    Demonstrates adding a trendline to data with DateTime x values.
  • Market Strength
    Demonstrates the use of BalanceOfPower financial indicator.
  • Financial One Value Indicators
    Demonstrates the use of one-value financial indicators arithmetic mean, geometric mean, standard deviation, mean deviation, range and median.
  • Frequency Table
    Demonstrates the use of statistical procedures to summarize quantitative data from within DataPresentation class.
  • Oscillators
    Demonstrates the use of financial indicators : Momentum and MoneyFlowIndexOverPeriod.
  • Rate Charts
    Demonstrates creating a derived series through division of 2 existing series.
  • Running Sum
    Demonstrates use of a running sum derived series based on an invisible series.
  • Crossing Signal
    Demonstrates the use of the Crossing Signal indicators within Stochastic.
  • Extreme Value Signal
    Demonstrates the use of the Extreme value signal indicators.
  • General Linear
    Demonstrates the use of GeneralLinear indicator from within forecasting.
  • General Linear Fit
    Demonstrates the use of GeneralLinear Forecasting engine in order to find the function of best fit from three functions spaces.
  • Logarithmic Fitting
    Demonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
  • Non Linear Polynomial
    Demonstrates the use of NonLinear Forecasting model in order to find the function of best fit.
  • Polynomial Fitting
    Demonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
  • Polynomial Fitting Extended
    Demonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
  • Residuals
    Demonstrates the use of LeastSquaresRegressionLineX and LeastSquaresRegressionLineY from within Correlation class.
  • Sine Fitting
    Demonstrates the use of GeneralLinear forecasting engine in order to find the function of best fit from three functions spaces.
  • Stochastic
    Demonstrates the use of the K% Stochastic and D% Stochastic.
  • Trend Line Exponential
    Demonstrates the use of TrendLineExponential from within ForecatEngine which find the best fitting exponential curve to sets of data.
  • Trend Line Exponential Ext
    Demonstrates the use of TrendLineExponential from within ForecatEngine which find the best fitting exponential curve to sets of data.
  • Trend Line Logarithmic
    Demonstrates the use of TrendLineLogarithmic from within Forecasting which find the best fitting logarithmical curve to sets of data.
  • Trend Line Polynomial
    Demonstrates the use of TrendLine Forecasting engine in order to find the function of best fit for the seventh degree polynomial.
  • Trend Line Polynomial Ext
    Demonstrates the use of TrendLine Forecasting engine in order to find the function of best fit for the seventh degree polynomial.
  • Trend Line Power
    Demonstrates the use of TrendLinePower from within Forecasting which find the best fitting power curve to sets of data.
  • Volume Indicators
    Demonstrates the use of the Volume indicators.
  • ChartArea Data Distribution
    Demonstrates some quality control features like median, mean and percentile and integrate them within an element in a separate chart area.
  • Exponential Distribution
    Demonstrates 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 Response
    Demonstrates the use of financial indicator Finite Impulse Response.
  • Log Normal Distribution
    Demonstrates the use of LognormalDistribution method from the StatisticalEngine. This method return the lognormal distribution for a series when the standard deviation is known.
  • Normal Distribution
    Demonstrates 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 Indicator
    Demonstrates the use of financial indicators AveragePrice and PriceActionIndicator.
  • RChart
    Demonstrates the use of R-Chart and R-XBAR chart.
  • Run Chart
    Demonstrates the Run Chart.
  • SChart
    Demonstrates the use of S-Chart and S-XBAR chart.
  • Market Facilitation Index
    Demonstrates the use of the Market Facilitation Index indicator.
  • Series Data Distribution
    Demonstrates some quality control features like median, mean and percentile and integrate them within an element.
  • Age Histogram
    Demonstrates the use of statistical procedures for summarize quantitative data from within StatisticalEngine.
  • Directional Movement
    Demonstrates the use of the DM+ and DM-
  • DMISignal
    Demonstrates the use of the DMI Signal indicator.
  • Exponential Distribution 1
    Demonstrates the use of Exponential Distribution within StatisticalEngine.
  • Exponential Distribution 2
    Demonstrates the use of Exponential Distribution and Relative Frequency Table for summarize quantitative data from within StatisticalEngine.
  • Financial Kurtosis Indicator
    Demonstrates the use of one-value financial indicators kurtosis and skewness.
  • Forecast Traffic
    Demonstrates 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.
  • Histogram
    Demonstrates the use of statistical procedures for summarize quantitative data from within StatisticalEngine.
  • Normal Distribution 1
    Demonstrates the use of NormalDistribution within StatisticalEngine.
  • Normal Distribution 2
    Demonstrates the use of NormalDistribution within StatisticalEngine.
  • Soft Drinks Histogram
    Demonstrates the use of statistical procedures for summarize quantitative data from within StatisticalEngine.
  • True Range
    Demonstrates the use of the TrueRange and DirectionalMotion indicators.
  • Pearson
    Demonstrates the use of LeastSquaresRegressionLineX and LeastSquaresRegressionLineY from
  • BesselI
    Demonstrates the bessel I function.
  • BesselJ
    Demonstrates bessel J function.
  • BesselK
    Demonstrates bessel K function.
  • BesselY
    Demonstrates the bessel Y function.
  • Beta
    Demonstrates the beta function.
  • GammaP
    Demonstrates the Gamma P function.
  • GammaQ
    Demonstrates the Gamma Q function.
  • SMAUsage
    Demonstrates using a simple moving average over an n number of days.
  • Bollinger Bands
    Demonstrates creating a 5 Day Moving Average and Bollinger Bands chart using live data.