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Strategy vault / Trend following

Parabolic SAR

This is a redesign of the built-in Parabolic SAR indicator. I added a proper input system, an option to highlight initial points for both lines and an option to choose points width. So, customize it as you want…

Author
ChaoZhang
Complexity
Intermediate · 53 lines
Parameters
7
Backtest bar
5m · intraday
Tested on
BTC/USDT · futures

This is a redesign of the built-in Parabolic SAR indicator. I added a proper input system, an option to highlight initial points for both lines and an option to choose points width. So, customize it as you want.

Parabolic SAR was originally developed by J. Welles Wilder and described in his book "New Concepts in Technical Trading Systems" (1978). It is a trend-following indicator that can be used as a trailing stop loss.

To know which settings for PSAR are the most profitable on your instrument and timeframe you can use this tool

backtest IMG

Parameters

NameDefaultWhat it controls
v_input_10.02Start
v_input_20.02Increment
v_input_30.2Maximum
v_input_42Point Width
v_input_5trueHighlight Start Points ?
v_input_6trueShow Buy/Sell Labels ?
v_input_7trueHighlight State ?

Source Pine Script

/*backtest
start: 2022-04-30 00:00:00
end: 2022-05-29 23:59:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
// Copyright (c) 2019-present, Alex Orekhov (everget)
// Parabolic SAR script may be freely distributed under the terms of the GPL-3.0 license.
study("Parabolic SAR", shorttitle="PSAR", overlay=true)

start = input(title="Start", type=input.float, step=0.001, defval=0.02)
increment = input(title="Increment", type=input.float, step=0.001, defval=0.02)
maximum = input(title="Maximum", type=input.float, step=0.01, defval=0.2)
width = input(title="Point Width", type=input.integer, minval=1, defval=2)
highlightStartPoints = input(title="Highlight Start Points ?", type=input.bool, defval=true)
showLabels = input(title="Show Buy/Sell Labels ?", type=input.bool, defval=true)
highlightState = input(title="Highlight State ?", type=input.bool, defval=true)

psar = sar(start, increment, maximum)
dir = psar < close ? 1 : -1

psarColor = dir == 1 ? #3388bb : #fdcc02
psarPlot = plot(psar, title="PSAR", style=plot.style_circles, linewidth=width, color=psarColor, transp=0)

var color longColor = color.green
var color shortColor = color.red

buySignal = dir == 1 and dir[1] == -1
plotshape(buySignal and highlightStartPoints ? psar : na, title="Long Start", location=location.absolute, style=shape.circle, size=size.tiny, color=longColor, transp=0)
plotshape(buySignal and showLabels ? psar : na, title="Buy Label", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=longColor, textcolor=color.white, transp=0)

sellSignal = dir == -1 and dir[1] == 1
plotshape(sellSignal and highlightStartPoints ? psar : na, title="Short Start", location=location.absolute, style=shape.circle, size=size.tiny, color=shortColor, transp=0)
plotshape(sellSignal and showLabels ? psar : na, title="Sell Label", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=shortColor, textcolor=color.white, transp=0)

midPricePlot = plot(ohlc4, title="", display=display.none)

fillColor = highlightState ? (dir == 1 ? longColor : shortColor) : na
fill(midPricePlot, psarPlot, title="Trade State Filling", color=fillColor)

changeCond = dir != dir[1]
alertcondition(changeCond, title="Alert: PSAR Direction Change", message="PSAR has changed direction!")
alertcondition(buySignal, title="Alert: PSAR Long", message="PSAR Long")
alertcondition(sellSignal, title="Alert: PSAR Short", message="PSAR Sell")


if buySignal
    strategy.entry("Enter Long", strategy.long)
else if sellSignal
    strategy.entry("Enter Short", strategy.short)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-31. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

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in Claude Code, Cursor, Codex & 4 more
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Parabolic-SAR.md
  1. npx agenkit install engineering-kit in your project
  2. Paste the command into your agent and approve each phase
  3. Get tests, backtest, risk controls and a paper-trading switch

Understand it first

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.

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