ATR Smoothed
Orignal Version By dysrupt / Modifyed by me backtest
Orignal Version By dysrupt / Modifyed by me backtest

Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | 21 | Period |
| v_input_2 | 6.3 | Multiplier |
| v_input_3 | 100 | Smooth |
| v_input_4_close | 0 | Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4 |
Source Pine Script
/*backtest
start: 2022-04-22 00:00:00
end: 2022-05-21 23:59:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=3
study(title="ATR Smoothed (By dysrupt)_BuySell version", shorttitle="ATR_SM_BuySell", overlay = true)
//Modifyed by @guikroth
////////////////////////////////////////////////////////////////////////////////INPUTS
nATRPeriod = input(21, "Period")
nATRMultip = input(6.3, "Multiplier",type=float, minval=0.5, maxval=1000, step=0.1)
/////////////////////////////////////////////////////////////////////////////////ATR
xATR = atr(nATRPeriod)
nLoss = nATRMultip * xATR
xATRTrailingStop = na
xATRTrailingStop :=
iff(close > nz(xATRTrailingStop[1], 0) and close[1] > nz(xATRTrailingStop[1], 0), max(nz(xATRTrailingStop[1]), close - nLoss),
iff(close < nz(xATRTrailingStop[1], 0) and close[1] < nz(xATRTrailingStop[1], 0), min(nz(xATRTrailingStop[1]), close + nLoss),
iff(close > nz(xATRTrailingStop[1], 0), close - nLoss, close + nLoss)))
pos = na
pos :=
iff(close[1] < nz(xATRTrailingStop[1], 0) and close > nz(xATRTrailingStop[1], 0), 1,
iff(close[1] > nz(xATRTrailingStop[1], 0) and close < nz(xATRTrailingStop[1], 0), -1, nz(pos[1], 0)))
color = pos == -1 ? red: pos == 1 ? lime : blue
//patr=plot(xATRTrailingStop, color=color, linewidth=2, title="ATR Trailing Stop", transp=0)
// Deternine if we are currently LONG
isLong = false
isLong := nz(isLong[1], false)
// Determine if we are currently SHORT
isShort = false
isShort := nz(isShort[1], false)
//Trading
// Buy only if the buy signal is triggered and we are not already long
LONG = not isLong and pos == 1
// Sell only if the sell signal is triggered and we are not already short
SHORT = not isShort and pos == -1
if (LONG)
isLong := true
isShort := false
if (SHORT)
isLong := false
isShort := true
barcolor(isLong ? lime : isShort ? red : na)
// Show Break Alerts
plotshape(SHORT, title="Sell", style=shape.labeldown, location=location.abovebar, size=size.normal, text="Sell", transp=0, textcolor = white, color=red, transp=0)
plotshape(LONG, title="Buy", style=shape.labelup, location=location.belowbar, size=size.normal, text="Buy", textcolor = white, color=green, transp=0)
// === /PLOTTING ===
// Send alert to TV alarm sub-system
alertcondition(LONG,title="Sell",message="Sell")
alertcondition(SHORT,title="BuY",message="Buy")
alertcondition(SHORT,title="BuY",message="Buy")
alertcondition(SHORT,title="BuY",message="Buy")
////////////////////////////////////////////////////////////////////////////////VWMA
len2 = input(100, minval=1, title="Smooth")
src = input(close, title="Source")
out = vwma(src, len2)
avg1=avg(out, xATRTrailingStop)
plot(avg1, color=aqua, transp=0, title="ATR")
if LONG
strategy.entry("Enter Long", strategy.long)
else if SHORT
strategy.entry("Enter Short", strategy.short)Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-23. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
Build this with AgenKit
A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/ATR-Smoothed.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
- 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.