Strategy · Pine Script v6 · On the chart

Seykota Alt 3: ATR Channel

by trustdan· code credited to danieltuckerrust

This trend-following strategy generates long and short breakout signals using volatility channels plotted around a simple moving average.

View on GitHub

GitHub stars16on the repository
Pine versionv6current
Lines of code169
Settings20inputs
LicenceNone statedfile: MPL-2.0
Last update11 months ago3 Nov 2025

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

169 lines of Pine Script v6 from pine-scripts/25_PF-0.874_SPY_seykota_alt3_atr_channel.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

25_PF-0.874_SPY_seykota_alt3_atr_channel.pine
// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © danieltuckerrust
// ALTERNATIVE 3: ATR Channel Breakout
// THEORY: Volatility bands around a moving average define trends better than fixed lookback highs/lows.
// Rather than "highest high N days ago," define the breakout as price exceeding a volatility band
// above a base SMA. This is still pure price+volatility with fewer parameters and different mechanism.
// Trade-off: More responsive to volatility expansion/contraction.

//@version=6
strategy("Seykota Alt 3: ATR Channel v1.0",
     overlay=true,
     initial_capital=100000,
     commission_type=strategy.commission.percent, commission_value=0.005,
     slippage=2,
     default_qty_type=strategy.fixed, default_qty_value=0,
     pyramiding=10,
     max_bars_back=5000)

//================ Inputs
allowLong   = input.bool(true,  "Allow LONGs?")
allowShort  = input.bool(true,  "Allow SHORTs?")

// CHANGED: ATR Channel parameters instead of Donchian
baseLen     = input.int(100,    "Base MA length",                     minval=10)
nLen        = input.int(20,     "ATR length",                         minval=5)
kEntry      = input.float(2.0,  "Entry band (k * ATR)",               minval=0.25, step=0.25)
kExit       = input.float(2.0,  "Exit band (k * ATR)",                minval=0.25, step=0.25)
stopN       = input.float(2.0,  "Initial stop (in N)",                minval=0.25, step=0.25)
addStepN    = input.float(0.5,  "Add every X * N",                    minval=0.25, step=0.25)
maxUnits    = input.int(4,      "Max units",                          minval=1, maxval=10)
riskPct     = input.float(1.0,  "Risk % of equity PER UNIT",          minval=0.1, maxval=5, step=0.1)

useMarket   = input.bool(false, "Use market regime filter?")
marketSym   = input.symbol("SPY", "Market symbol for regime (if used)")
marketTF    = input.timeframe("D", "Regime timeframe (if used)")
marketLen   = input.int(200,    "Market MA length (if used)",         minval=50)

minVol      = input.int(0,      "Min 20-bar avg volume (chart TF)",   minval=0)
showSignals = input.bool(true,  "Plot signals & stops?")
plotBands   = input.bool(true,  "Plot ATR bands?")

// Date-range filter
fromDate = input.time(defval=timestamp("2022-01-01T00:00:00"), title="Backtest FROM (yyyy-mm-dd)", confirm=true)
toDate   = input.time(defval=timestamp("2099-12-31T23:59:59"), title="Backtest TO (yyyy-mm-dd)",   confirm=true)
flatAtFrom = input.bool(true, "Force FLAT at range start?")
isRangeStart = (time[1] < fromDate) and (time >= fromDate)
if flatAtFrom and isRangeStart and strategy.position_size != 0
    strategy.close_all(comment="Flat at FROM")

//================ Helpers
sharesForUnit(_equity, _Nentry) =>
    riskDollars   = _equity * (riskPct/100.0)
    perShareRisk  = math.max(stopN * _Nentry, syminfo.mintick)
    math.max(1, math.floor(riskDollars / perShareRisk))

inRange = (time >= fromDate) and (time <= toDate)

//================ Core calcs
base = ta.sma(close, baseLen)
N    = ta.atr(nLen)
volMA = ta.sma(volume, 20)
liqOK = volMA >= minVol

// CHANGED: ATR bands instead of Donchian levels
upBand   = base + kEntry * N
downBand = base - kEntry * N
exitUp   = base + kExit * N
exitDn   = base - kExit * N

// Use [1] to avoid lookahead
upBandPrev   = upBand[1]
downBandPrev = downBand[1]
exitUpPrev   = exitUp[1]
exitDnPrev   = exitDn[1]

// Market regime (optional)
mClose = request.security(marketSym, marketTF, close)
mMA    = request.security(marketSym, marketTF, ta.sma(close, marketLen))
longRegOK  = not useMarket or (mClose > mMA)
shortRegOK = not useMarket or (mClose < mMA)

//================ Signals (channel breakout)
longBreak  = allowLong  and liqOK and longRegOK  and (close > upBandPrev)
shortBreak = allowShort and liqOK and shortRegOK and (close < downBandPrev)

//================ Position state
var float N_entry       = na
var float lastAddLong   = na
var float lastAddShort  = na
var int   units         = 0

inPos     = strategy.position_size != 0
inLong    = strategy.position_size > 0
inShort   = strategy.position_size < 0

if not inPos
    units        := 0
    lastAddLong  := na
    lastAddShort := na
    N_entry      := na

//================ Entries
if inRange and not inPos and longBreak
    N_entry := N
    float sh = sharesForUnit(strategy.equity, N_entry)
    strategy.entry("L", strategy.long, qty=sh)
    units       := 1
    lastAddLong := close

if inRange and not inPos and shortBreak
    N_entry := N
    float sh = sharesForUnit(strategy.equity, N_entry)
    strategy.entry("S", strategy.short, qty=sh)
    units        := 1
    lastAddShort := close

//================ Add-ons
canAddLong  = inRange and inLong  and units < maxUnits and high >= nz(lastAddLong)  + addStepN * N_entry
canAddShort = inRange and inShort and units < maxUnits and low  <= nz(lastAddShort) - addStepN * N_entry

if canAddLong
    float sh = sharesForUnit(strategy.equity, N_entry)
    strategy.entry("L", strategy.long, qty=sh)
    units       += 1
    lastAddLong := close

if canAddShort
    float sh = sharesForUnit(strategy.equity, N_entry)
    strategy.entry("S", strategy.short, qty=sh)
    units        += 1
    lastAddShort := close

//================ Exits (ATR channel + protective stop)
var float stopL = na
var float stopS = na

if inRange and inLong
    initStopL = strategy.position_avg_price - stopN * N_entry
    // Exit if price crosses back through exit band OR hits initial stop
    stopL     := math.round_to_mintick(math.max(initStopL, exitDnPrev))
    strategy.exit("L-EXIT", from_entry="L", stop=stopL)
else
    stopL := na

if inRange and inShort
    initStopS = strategy.position_avg_price + stopN * N_entry
    // Exit if price crosses back through exit band OR hits initial stop
    stopS     := math.round_to_mintick(math.min(initStopS, exitUpPrev))
    strategy.exit("S-EXIT", from_entry="S", stop=stopS)
else
    stopS := na

//================ Plots
plot(plotBands ? base : na, "Base MA", color=color.new(color.gray, 0), linewidth=2)
plot(plotBands ? upBand : na,   "Upper Band", color=color.new(color.blue, 40), linewidth=1)
plot(plotBands ? downBand : na, "Lower Band", color=color.new(color.blue, 40), linewidth=1)
plot(plotBands ? exitUp : na,   "Exit Upper", color=color.new(color.red, 60), linewidth=1, style=plot.style_circles)
plot(plotBands ? exitDn : na,   "Exit Lower", color=color.new(color.red, 60), linewidth=1, style=plot.style_circles)

// Fill between bands
upFill = plotBands ? upBand : na
dnFill = plotBands ? downBand : na
fill(plot(upFill, display=display.none), plot(dnFill, display=display.none), color=color.new(color.blue, 95))

plotshape(showSignals and longBreak,  title="Long Breakout",  style=shape.triangleup,   location=location.belowbar, size=size.tiny, color=color.new(color.green, 0), text="ATR↑")
plotshape(showSignals and shortBreak, title="Short Breakout", style=shape.triangledown, location=location.abovebar, size=size.tiny, color=color.new(color.red,   0), text="ATR↓")

plot(showSignals and inLong  ? stopL : na, "Long Stop",  color=color.new(color.red, 0), style=plot.style_linebr, linewidth=2)
plot(showSignals and inShort ? stopS : na, "Short Stop", color=color.new(color.red, 0), style=plot.style_linebr, linewidth=2)

Overview

Seykota Alt 3: ATR Channel calculates ATR bands for entries and trailing exits, calculating position sizing based on account equity and ATR risk per unit. The strategy supports pyramiding into winning positions at fixed ATR step intervals, employs an ATR-based initial stop loss, and provides an optional higher-timeframe market regime filter alongside volume requirements. All bands, trailing stops, and trade execution markers overlay directly on the price chart.

Details

Published by

trustdan on GitHub

Code credit

danieltuckerrust, as written in the script's header

Type

Strategy, Pine Script v6

Draws

On the price chart

Category

Trend, Breakout, Volatility & bands

Markets

Stocks, Indices

Timeframes

H4 and above, M15-H1

Risk Notes

  • The strategy can add several entries in the same direction

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Allow LONGs?booltrueallowLong
Allow SHORTs?booltrueallowShort
Base MA lengthint100baseLen
ATR lengthint20nLen
Entry band (k * ATR)float2.0kEntry
Exit band (k * ATR)float2.0kExit
Initial stop (in N)float2.0stopN
Add every X * Nfloat0.5addStepN
Max unitsint4maxUnits
Risk % of equity PER UNITfloat1.0riskPct
Use market regime filter?boolfalseuseMarket
Market symbol for regime (if used)symbolSPYmarketSym
Show all 20 settings
SettingTypeDefaultVariable
Regime timeframe (if used)timeframeDmarketTF
Market MA length (if used)int200marketLen
Min 20-bar avg volume (chart TF)int0minVol
Plot signals & stops?booltrueshowSignals
Plot ATR bands?booltrueplotBands
Backtest FROM (yyyy-mm-dd)timetimestamp("2022-01-01T00:00:00")fromDate
Backtest TO (yyyy-mm-dd)timetimestamp("2099-12-31T23:59:59")toDate
Force FLAT at range start?booltrueflatAtFrom
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

Similar Pine Scripts

257 stars

This strategy plots VWMA-based Bollinger bands on the 1-minute ES futures price chart for volatility analysis and potential breakout identification. It calculates dynamic long and short stop loss and take profit levels using percentage inputs relative to entry

Strategy v6 Volatility & bandsSupport & resistance
Updated 6 weeks ago · None stated GitHub repository of V1.6 ES - Futures 1M No Repaint
106 stars

This strategy runs on the price chart and enters long when a fast simple moving average crosses above a slow one, and short on the opposite cross, while closing the other side. Entries also need ATR above a filter, a pullback check, a minimum candle-body chang

Strategy v5 TrendMoving averages
Updated 2 years ago · GPL-3.0 GitHub repository of 9:22 5 MIN 15 MIN BANKNIFTY

均线突破交易系统

by tangly1024
76 stars

This strategy trades long breakouts of a fast and a slow moving average on the price chart. It opens a long position when price crosses above either average, using a percentage of equity as size. It reduces the position by a set share when the high reaches the

Strategy v5 TrendMoving averages
Updated 4 months ago · None stated GitHub repository of 均线突破交易系统

This strategy executes breakout trades using two Donchian Channels alongside an optional 200-period EMA trend filter. Entries trigger when the price sets a new highest high or lowest low over the primary Donchian Channel period. Exits are managed via a shorter

Strategy v5 BreakoutTrend
Updated 1 year ago · None stated GitHub repository of Ruckard Walcrypto DoubleDonchian B002

Breakout Strategy

by JoelPasapera
11 stars

This strategy implements a channel breakout system directly on the main price chart. It calculates highest highs and lowest lows over configurable entry and exit periods using historical candles. A long entry triggers when the close breaks above the entry chan

Strategy v6 BreakoutTrend
Updated 5 months ago · Apache-2.0 GitHub repository of Breakout Strategy

More strategys

Trade Your Charts With a Regulated Broker

Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.

Compare brokers