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Mean (Simple Average)

The Average function computes the mean (or simple average) of a set of input values.

Bollinger Bands

The Bollinger Bands functions are based on methods developed by John Bollinger. They compute a pair of data values based on the moving average of the input value series.

Moving Average Envelopes

The Moving Average Envelopes functions compute a pair of data bands that envelop a moving average of the input data values.

Trend and Forecasting

The Trend and Forecasting function calculates a regression line or line of best fit. When applied to a time series, it can forecast future values.

Cumulative Total

The Cumulative Total function computes the cumulative total (or running sum) of a set of input values.

Exponential Moving Average

The Exponential Moving Average function computes the average of a set of input values over a specified number of time periods.

Historical Volatility

The Historical Volatility function calculates the volatility of a set of input data values, such as stock prices over a period of time.

Median

The Median function computes the median (e.g. middle) value from a set of input values.

Mode

The Mode function finds the value (or values) repeated more often than any other in a value series.

Moving Average

The Moving Average function computes the average of a set of input values over a specified number of time periods. The smaller the number of time periods, the faster the moving average responds to changes in the input values.

Totals (Sum)

The Sum function calculates the sum total for a set of input values.

Weighted Moving Average

The Weighted Moving Average function computes the average of a set of input values over a specified number of time periods.

Percent of Total

The Percent of Total functions return the percentage of each value in the input series out of the total sum of the values in the input series.

Rank Value

The Rank Value function returns the value found at the specified position, either starting from the highest or the lowest value.

K-Means Clustering

The Clustering function uses the K-Means algorithm to split data points into clusters based on similarity of the measures provided.

Distance

The Distance function computes the as-the-crow-flies distance between a source and destination identified by latitude and longitude.

Rank Function

The Rank function calculates the rank for each value in a set of input values.

Data Outliers

The Data Outlier functions identify the outliers in a set of input values.

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