AUSTRA

Represents a time series.

C#

```
public sealed class Series : Series<Date>,
IAdditionOperators<Series, Series, Series>, IAdditionOperators<Series, double, Series>,
ISubtractionOperators<Series, Series, Series>, ISubtractionOperators<Series, double, Series>,
IMultiplyOperators<Series, double, Series>, IDivisionOperators<Series, double, Series>,
IUnaryNegationOperators<Series, Series>, IPointwiseOperators<Series>,
IFormattable
```

- Implements
- IPointwiseOperatorsSeries, IFormattable, IAdditionOperatorsSeries, Series, Series, IAdditionOperatorsSeries, Double, Series, IDivisionOperatorsSeries, Double, Series, IMultiplyOperatorsSeries, Double, Series, ISubtractionOperatorsSeries, Series, Series, ISubtractionOperatorsSeries, Double, Series, IUnaryNegationOperatorsSeries, Series

Series(String, String, Double, Series) | Creates a named time series. |

Series(String, String, Date, Double, Series) | Creates a named time series. |

Series(String, String, Date, Double, SeriesType, Frequency) | Creates a named time series. |

Args | Gets the list of arguments from the series. (Inherited from SeriesT) |

Count | Gets the number of points in the series. (Inherited from SeriesT) |

EnumValues | Gets the list of values from the series. (Inherited from SeriesT) |

First | Gets the first point in the series. (Inherited from SeriesT) |

Freq | Gets the sampling frequency. |

ItemIndex | Gets a point given its index. (Inherited from SeriesT) |

ItemInt32 | Gets a point given its index. (Inherited from SeriesT) |

ItemRange | Extracts a slice from the series. |

Kurtosis | Gets the unbiased population kurtosis. (Inherited from SeriesT) |

Last | Gets the last point in the series. (Inherited from SeriesT) |

Maximum | Returns the maximum value from the series. (Inherited from SeriesT) |

Mean | Gets the mean value from the series. (Inherited from SeriesT) |

Minimum | Returns the minimum value from the series. (Inherited from SeriesT) |

Name | Gets the name of the series. (Inherited from SeriesT) |

Points | Gets the sorted list of points. (Inherited from SeriesT) |

PopulationKurtosis | Gets the kurtosis from the full population. (Inherited from SeriesT) |

PopulationSkewness | Get the skewness from the full population. (Inherited from SeriesT) |

PopulationStandardDeviation | Gets the standard deviation from the full population. (Inherited from SeriesT) |

PopulationVariance | Gets the variance from the full population. (Inherited from SeriesT) |

Skewness | Gets the unbiased population skewness. (Inherited from SeriesT) |

StandardDeviation | Gets the unbiased standard deviation. (Inherited from SeriesT) |

Stats | Gets statistics on the series. (Inherited from SeriesT) |

Tag | A custom tag for the series. |

Ticker | Gets the ticker of the series. (Inherited from SeriesT) |

Type | Is this a raw (Prices) series or a derived one? (Inherited from SeriesT) |

Values | Gets the values array as a vector. (Inherited from SeriesT) |

Variance | Gets the unbiased variance. (Inherited from SeriesT) |

AbsMax | Gets the maximum absolute value. (Inherited from SeriesT) |

AbsMin | Gets the minimum absolute value. (Inherited from SeriesT) |

ACF | Computes autocorrelation for all lags. (Inherited from SeriesT) |

Adapt | Transforms a SeriesT into a Series. |

All | Checks whether the predicate is satisfied by all items. |

Any | Checks whether the predicate is satisfied by at least one item. |

ARModel | Creates an AR model from a series and a degree. |

AsLogReturns | Creates a new series based in the logarithmic returns. |

AsReturns | Creates a new series based in the returns. |

AutoCorrelation | Computes the autocorrelation for a fixed lag. (Inherited from SeriesT) |

AutoRegression | Finds the coefficients for an autoregressive model. (Inherited from SeriesT) |

Combine | Calculates the weighted sum of an array of series. |

Contains(Date) | Checks if the series contains the given value. |

Contains(Double) | Checks if the series contains the given value. (Inherited from SeriesT) |

Correlation | Computes the Pearson correlation between two series. (Inherited from SeriesT) |

Correlogram | Computes autocorrelation for a range of lags. (Inherited from SeriesT) |

Covariance | Computes the covariance between two series. (Inherited from SeriesT) |

Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |

EWMA | Smooths data using a exponentially weighted moving average. |

Fft | Computes the real discrete Fourier transform. (Inherited from SeriesT) |

Filter | Creates a new series by transforming each item with the given function. |

Fit | Gets linear coefficients for a fitting line. |

FullLinearModel | Creates a linear model from a series and a set of predictors. |

GetHashCode | Serves as the default hash function. (Inherited from Object) |

GetSliceStats(Date) | Gets statistics on a slice of a date series. |

GetSliceStats(T, T) | Gets statistics on a slice of the series. (Inherited from SeriesT) |

GetType | Gets the Type of the current instance. (Inherited from Object) |

IndexOf | Returns the zero-based index of the first occurrence of a value. (Inherited from SeriesT) |

LinearFit | Computes the series predicted by a linear fit. |

LinearModel | Multilinear regression based in Ordinary Least Squares. (Inherited from SeriesT) |

MAModel | Creates an MA model from a series and a degree. |

Map | Creates a new series by transforming each item with the given function. |

MovingAverage | Finds the coefficients for a moving average model. (Inherited from SeriesT) |

MovingAvg | Smooths data using a simple moving average. |

MovingNcdf | Compress data using a simple moving percentile. |

MovingRet | Gets the moving return of a one month window. |

MovingStd | Smooths data using a simple moving standard deviation. |

NCdf | The normal cumulative distribution function of the most recent value. (Inherited from SeriesT) |

NCdf(Double) | The normal cumulative distribution function. (Inherited from SeriesT) |

PACF | Computes the partial autocorrelation for all lags. (Inherited from SeriesT) |

Percentiles | Returns ascendenly sorted values. (Inherited from SeriesT) |

PointwiseDivide | Creates a new series by dividing values from the operands. |

PointwiseMultiply | Creates a new series by multiplying values from the operands. |

Prune | Creates a series retaining the first count items. |

Random | Generates a normally distributed series using statistics from this series. |

SafeThis |
Safe access to the series' points. If the index is out of range, a zero is returned.
(Inherited from SeriesT) |

SetName | Clones this series with a new name. |

Slice(Date, Date) | Takes a slice from a series. |

Slice(Int32, Int32) | Takes a slice from a series. |

Spline | Creates an interpolator for this series. |

Sum | Calculates the sum of the series values. (Inherited from SeriesT) |

ToString | Gets a textual representation of the series. (Overrides SeriesTToString) |

ToString(String, IFormatProvider) | Gets a textual representation of the series. |

Zip | Combines the common sufix of two time series. |

Addition(Double, Series) | Adds a scalar to a series. |

Addition(Series, Series) | Creates a new series by adding values from the operands. |

Addition(Series, Double) | Adds a scalar to a series. |

Division(Series, Double) | Divides all values from a series. |

Multiply(Double, Series) | Scales values from a series. |

Multiply(Series, Double) | Scales values from a series. |

Subtraction(Double, Series) | Subtracts series from a fixed scalar value. |

Subtraction(Series, Series) | Creates a new series by subtracting values from the operands. |

Subtraction(Series, Double) | Subtracts a fixed scalar value from a series. |

UnaryNegation(Series) | Negates values from a series. |

Copyright © by Intuitive Sight, 2023