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Lowest value in the series.

Two args version: `source` is a series and `length` is the number of bars back.

One arg version: `length` is the number of bars back. Algorithm uses low as a `source` series.

Highest value in the series.

One arg version: `length` is the number of bars back. Algorithm uses high as a `source` series.

Number of bars back.

Test if the `source` series is now falling for `length` bars long.

true if current `source` value is less than any previous `source` value for `length` bars back, false otherwise.

Test if the `source` series is now rising for `length` bars long.

true if current `source` is greater than any previous `source` for `length` bars back, false otherwise.

The rate of change of `source` for `length` bars back.

Commodity channel index of source for length bars back.

Variance is the expectation of the squared deviation of a series from its mean ({@fun ta.sma}), and it informally measures how far a set of numbers are spread out from their mean.

Variance of `source` for `length` bars back.

Measure of difference between the series and it's {@fun ta.sma}

Deviation of `source` for `length` bars back.

Percent rank of `source` for `length` bars back.

Exponential moving average of `source` with alpha = 1 / `length`.

Relative strength index. It is calculated using the `ta.rma()` of upward and downward changes of `source` over the last `length` bars.

Correlation coefficient. Describes the degree to which two series tend to deviate from their {@fun ta.sma} values.