--- order: 2 --- # ta `ta` package provides some common technical analysis functions. ## between & range `between(a: number, b: number, c: number): bool` > alias: range When `a` is between `b` and `c`, return `true`, otherwise return `false`. ```nv ta.between(3, 1, 4); // true ta.between(0, 1, 4); // false ``` ## cross `cross(a: number, b: number): bool` When `a` crosses `b` from below, return `true`, otherwise return `false`. ## longcross `longcross(a: number, b: number, n: number): bool` When `a` is less than `b` for `n` periods, and `a` crosses `b` from below this period, return `true`, otherwise return `false`. ## valuewhen `valuewhen(x: bool, n: any): any` When `x` is `true`, return `n`'s current value, otherwise return `n`'s previous value. ## select `select(x1: bool, n1: any, x2: bool, n2: any, ...): any` When `x1` is `true`, return `n1`, when `x2` is `true`, return `n2`, and so on. ## orelse `orelse(x: any?, y: any): any` When `x` is not `nil`, return `x`, otherwise return `y`. ## all `all(x: bool, n: number): bool` When `n` periods of `x` are all `true`, return `true`, otherwise return `false`. `n` is `0` means from the first valid value. ## any `any(x: bool, n: number): bool` When `n` periods of `x` have at least one `true`, return `true`, otherwise return `false`. `n` is `0` means from the first valid value. ## barslast `barslast(x: bool): number` Get the current period number since the **last** time `x` is `true`. ## barssince `barssince(x: bool): number` Get the current period number since the **first** time `x` is `true`. ## count `count(x: bool, n: number): number` Get the number of times `x` is `true` in `n` periods. `n` is `0` means from the first valid value. ## dma `dma(x: number, n: number): number` Get the dynamic moving average of `x`. ## ema `ema(x: number, n: number): number` Get the `n` period exponential moving average of `x`. ## filter `filter(x: bool, n: number): bool` Return `true` when `x` is `true` and its previous `n` periods are all `false`. ## hhv `hhv(x: number, n: number): number` Get the maximum value of `x` in `n` periods. `n` is `0` means from the first valid value. ## hhvbars `hhvbars(x: number, n: number): number` Get `n` periods of `x` maximum value to the current period number. `n` is `0` means from the first valid value. ## llv `llv(x: number, n: number): number` Return the minimum value of `x` in `n` periods. ## llvbars `llvbars(x: number, n: number): number` Get `n` periods of `x` minimum value to the current period number. `n` is `0` means from the first valid value. ## sum `sum(x: number, n: number): number` Get the sum of `x` in `n` periods. `n` is `0` means from the first valid value. ## mular `mular(x: number, n: number): number` Get the product of `x` in `n` periods. `n` is `0` means from the first valid value. ## ma `ma(x: number, n: number): number` Get `n` period simple average of `x`. `n` is `0` means from the first valid value. ## mema `mema(x: number, n: number): number` Get `n` period modified exponential moving average of `x`. ## sma `sma(x: number, n: number): number` Get `n` period simple moving average of `x`. ## tma `tma(x: number, n: number): number` Get `n` period triangular moving average of `x`. ## wma `wma(x: number, n: number): number` Get `n` period weighted moving average of `x`. ## last `last(x: bool): number` Get the last valid value of `x`. ## sumbars `sumbars(a: number, b: number): number` Get the period number of `a` plus `b` until `a` is greater than or equal to `b`. ## hod `hod(x: number, n: number): number` Get the rank of the current value of `x` among the highest values in `n` periods. Returns `1` when the current value is the highest. ## lod `lod(x: number, n: number): number` Get the rank of the current value of `x` among the lowest values in `n` periods. Returns `1` when the current value is the lowest. ## avedev `avedev(x: number, n: number): number` Get the average absolute deviation of `x` in `n` periods. ## devsq `devsq(x: number, n: number): number` Get the sum of the squares of the deviations of `x` in `n` periods. ## forcast `forcast(x: number, n: number): number` Get the `n` period linear regression forecast value of `x`. ## slope `slope(x: number, n: number): number` Get the `n` period linear regression slope of `x`. ## std `std(x: number, n: number): number` Get the `n` period standard deviation of `x`. ## stddev `stddev(x: number, n: number): number` Get the `n` period standard deviation of `x`. ## stdp `stdp(x: number, n: number): number` Get the `n` period standard deviation of `x`. ## svar `svar(x: number, n: number): number` Get the `n` period sample variance of `x`. ## varp `varp(x: number, n: number): number` Get the `n` period total variance of `x`. ## covar `covar(x: number, y: number, n: number): number` Get the `n` period covariance of `x` and `y`. ## relate `relate(x: number, y: number, n: number): number` Get the `n` period correlation coefficient of `x` and `y`. ## sar `sar(n: number, s: number, m: number): number` Get the parabolic SAR of `n` periods, `s` is the step length, `m` is the maximum step length. ## sarturn `sarturn(n: number, s: number, m: number): number` Get the parabolic SAR of `n` periods, `s` is the step length, `m` is the maximum step length. If the SAR turns up, return `1`, if the SAR turns down, return `-1`, otherwise return `0`.