Parabolic SAR (SAR)
Summary
Wilder's Parabolic SAR (Stop And Reverse): a trailing stop/reverse level that accelerates toward price via an acceleration factor. Signals trend direction and trailing exit points. SAR below price = uptrend (long); SAR above price = downtrend (short). Price crossing SAR flips direction.
Chart
Chart metadata i
Outputs
outReal:dot
Formula
SAR_next = SAR + af * (EP - SAR) EP = extreme point (highest high in long / lowest low in short); af starts at Acceleration, += Acceleration each new EP, capped at Maximum. On penetration: reverse, SAR := prior EP, reset af = Acceleration. SAR clamped each bar so it does not penetrate the prior/current bar's range.
Inputs
inHigh— High price of each barinLow— Low price of each bar
Outputs
outReal— Parabolic SAR stop/reverse level per bar
Parameters
| Parameter | Type | Default | Accepted values | Description |
|---|---|---|---|---|
optInAcceleration | real | 0.02 | ≥ 0 | Step added to the acceleration factor on each new extreme point |
optInMaximum | real | 0.2 | ≥ 0 | Ceiling on the acceleration factor |
Properties
Numerical Stability: Path-Dependent
| ✅ Overlap Input i |
| ☐ Independent Y-Axis |
| ☐ Candlestick |
| ☐ Display Shift |
| ☐ Can Output NaN or ±Inf |
| ☐ Identity at Period 1 |
| ☐ Uses Transcendental |
| ☐ Input Must Be Positive |
Example
#include <stdio.h>
#include <ta_libc.h>
int n = 252;
double high[252]; /* your data, oldest first */
double low[252]; /* your data, oldest first */
double out[252];
int outBegIdx, outNBElement;
TA_Initialize();
TA_SAR( 0, n - 1, high, low, 0.02, 0.2, &outBegIdx, &outNBElement, out );
printf( "%d values from bar %d; last out = %f\n", outNBElement, outBegIdx, out[outNBElement - 1] );use ta_lib::Core;
let high = vec![0.0; 252]; // your data, oldest first
let low = vec![0.0; 252]; // your data, oldest first
let mut out = vec![0.0; 252];
let core = Core::new();
let range = core.sar(0, high.len() - 1, &high, &low, 0.02, 0.2, &mut out)?;
println!("{} values from bar {}; last out = {}", range.count, range.beg_idx, out[range.count - 1]);import io.github.talib.Core;
import io.github.talib.OutRange;
double[] high = new double[252]; // your data, oldest first
double[] low = new double[252]; // your data, oldest first
double[] out = new double[252];
Core core = Core.DEFAULT;
OutRange r = core.sar(0, high.length - 1, high, low, 0.02, 0.2, out);
System.out.println(r.count() + " values from bar " + r.begIdx() + "; last out = " + out[r.count() - 1]);using System;
using TALib;
var high = new double[252]; // your data, oldest first
var low = new double[252]; // your data, oldest first
var outReal = new double[252];
var core = Core.Default;
OutRange r = core.Sar(0, high.Length - 1, high, low, 0.02, 0.2, outReal);
Console.WriteLine($"{r.Count} values from bar {r.BegIdx}; last outReal = {outReal[r.Count - 1]}");import { sar } from 'ta-lib';
const high = new Float64Array(252); // your data, oldest first
const low = new Float64Array(252); // your data, oldest first
const { begIdx, values } = sar({ high, low }, {
acceleration: 0.02,
maximum: 0.2,
});
console.log(values.length + ' values from bar ' + begIdx + '; last values = ' + values[values.length - 1]);Implementation
Added in 0.4.0.
TA-Lib Definition: sar.c · sar.yaml
| Native | File |
|---|---|
| C | ta_SAR.c |
| Rust | sar.rs |
| Java | Core_SAR.java |
| C# | Core_SAR.cs |
| TypeScript | sar.ts |
Python: talib.SAR, see ta-lib-python.
TA-Lib is also available for R and more using a wrapper.
Aliases
Parabolic SAR, PSAR, Stop and Reverse
See Also
References
- J. Welles Wilder, New Concepts in Technical Trading Systems, Trend Research (ISBN 0894590278)