Strategy · Pine Script v6 · On the chart

Seykota Alt 24: Vol-Adjusted Targets

by trustdan· code credited to danieltuckerrust

This strategy trades Donchian breakouts on the price chart and sizes each unit from a percentage of equity.

View on GitHub

GitHub stars16on the repository
Pine versionv6current
Lines of code270
Settings26inputs
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

270 lines of Pine Script v6 from pine-scripts/17_PF-1.072_SPY_seykota_alt24_vol_adjusted_targets.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

17_PF-1.072_SPY_seykota_alt24_vol_adjusted_targets.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 24: Volatility-Adjusted Profit Targets
// THEORY: Profit targets should adapt to current market volatility. In high-vol environments,
// targets need to be wider to avoid getting stopped prematurely. In low-vol, tighter targets
// capture available moves. This adjusts target distances based on current ATR vs. average ATR.
// INSIGHT FROM BACKTESTS: Alt 10's fixed 3N/6N/9N targets worked great (+20%), but could be
// even better if they adapted to volatility regime changes.
// Trade-off: More adaptive, but adds complexity and may reduce consistency.

//@version=6
strategy("Seykota Alt 24: Vol-Adjusted Targets 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?")

entryLen    = input.int(55,     "Donchian ENTRY lookback",            minval=10)
nLen        = input.int(20,     "N = ATR length",                     minval=5)
stopN       = input.float(2.0,  "Initial stop (in N)",                minval=0.5, step=0.25)
trailLen    = input.int(22,     "Chandelier trail lookback",          minval=5)
trailN      = input.float(3.0,  "Chandelier trail (in N)",            minval=0.5, step=0.25)
addStepN    = input.float(0.5,  "Add every X * N",                    minval=0.25, step=0.25)
maxUnits    = input.int(4,      "Max units (incl. initial)",          minval=1, maxval=10)
riskPct     = input.float(1.0,  "Risk % of equity PER UNIT",          minval=0.1, maxval=5, step=0.1)

// Volatility-adjusted profit targets
useTargets   = input.bool(true,  "Use volatility-adjusted targets?")
volLookback  = input.int(100,    "Volatility regime lookback",        minval=20)
baseTarget1N = input.float(2.5,  "Base Target 1 (in N)",              minval=1, step=0.5)
baseTarget2N = input.float(5.0,  "Base Target 2 (in N)",              minval=1, step=0.5)
baseTarget3N = input.float(8.0,  "Base Target 3 (in N)",              minval=1, step=0.5)
volAdjust    = input.float(0.5,  "Vol adjustment factor (0=none, 1=full)", minval=0, maxval=2, 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?")
plotDon     = input.bool(true,  "Plot Donchian 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
N        = ta.atr(nLen)
volMA    = ta.sma(volume, 20)
liqOK    = volMA >= minVol

// Volatility regime calculation
avgN = ta.sma(N, volLookback)
volRatio = N / avgN  // >1 = high vol, <1 = low vol

// Donchian levels
donHi    = ta.highest(high, entryLen)
donLo    = ta.lowest(low,  entryLen)
donHiPrev= donHi[1]
donLoPrev= donLo[1]

// Chandelier levels
trailHighest = ta.highest(high, trailLen)
trailLowest  = ta.lowest(low,  trailLen)

// 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
longBreak  = allowLong  and liqOK and longRegOK  and (close > donHiPrev)
shortBreak = allowShort and liqOK and shortRegOK and (close < donLoPrev)

//================ Position state
var float N_entry       = na
var float entryPrice    = na
var float lastAddLong   = na
var float lastAddShort  = na
var int   units         = 0
var bool  target1Hit    = false
var bool  target2Hit    = false
var bool  target3Hit    = false
var float volRatioEntry = na  // Capture volatility ratio at entry

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
    entryPrice   := na
    target1Hit   := false
    target2Hit   := false
    target3Hit   := false
    volRatioEntry := na

//================ Entries
if inRange and not inPos and longBreak
    N_entry := N
    entryPrice := close
    volRatioEntry := volRatio  // Capture vol ratio at entry
    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
    entryPrice := close
    volRatioEntry := volRatio  // Capture vol ratio at entry
    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

//================ VOLATILITY-ADJUSTED PROFIT TARGETS
// Adjust target distances based on volatility at entry
// volRatio > 1 = wider targets, volRatio < 1 = tighter targets
if useTargets and inLong and not na(entryPrice) and not na(N_entry) and not na(volRatioEntry)
    volFactor = 1 + volAdjust * (volRatioEntry - 1)  // Linear adjustment
    target1N = baseTarget1N * volFactor
    target2N = baseTarget2N * volFactor
    target3N = baseTarget3N * volFactor

    target1Price = entryPrice + target1N * N_entry
    target2Price = entryPrice + target2N * N_entry
    target3Price = entryPrice + target3N * N_entry

    if not target1Hit and high >= target1Price
        float closeQty = sharesForUnit(strategy.equity, N_entry)
        strategy.close("L", qty=closeQty, comment="T1 (+" + str.tostring(math.round(target1N, 1)) + "N)")
        target1Hit := true

    if target1Hit and not target2Hit and high >= target2Price
        float closeQty = sharesForUnit(strategy.equity, N_entry)
        strategy.close("L", qty=closeQty, comment="T2 (+" + str.tostring(math.round(target2N, 1)) + "N)")
        target2Hit := true

    if target2Hit and not target3Hit and high >= target3Price
        float closeQty = sharesForUnit(strategy.equity, N_entry)
        strategy.close("L", qty=closeQty, comment="T3 (+" + str.tostring(math.round(target3N, 1)) + "N)")
        target3Hit := true

if useTargets and inShort and not na(entryPrice) and not na(N_entry) and not na(volRatioEntry)
    volFactor = 1 + volAdjust * (volRatioEntry - 1)
    target1N = baseTarget1N * volFactor
    target2N = baseTarget2N * volFactor
    target3N = baseTarget3N * volFactor

    target1Price = entryPrice - target1N * N_entry
    target2Price = entryPrice - target2N * N_entry
    target3Price = entryPrice - target3N * N_entry

    if not target1Hit and low <= target1Price
        float closeQty = sharesForUnit(strategy.equity, N_entry)
        strategy.close("S", qty=closeQty, comment="T1 (+" + str.tostring(math.round(target1N, 1)) + "N)")
        target1Hit := true

    if target1Hit and not target2Hit and low <= target2Price
        float closeQty = sharesForUnit(strategy.equity, N_entry)
        strategy.close("S", qty=closeQty, comment="T2 (+" + str.tostring(math.round(target2N, 1)) + "N)")
        target2Hit := true

    if target2Hit and not target3Hit and low <= target3Price
        float closeQty = sharesForUnit(strategy.equity, N_entry)
        strategy.close("S", qty=closeQty, comment="T3 (+" + str.tostring(math.round(target3N, 1)) + "N)")
        target3Hit := true

//================ Exits (Chandelier trail)
var float stopL = na
var float stopS = na

if inRange and inLong
    initStopL = entryPrice - stopN * N_entry
    chandelierL = trailHighest - trailN * N_entry
    stopL     := math.round_to_mintick(math.max(initStopL, chandelierL))
    strategy.exit("L-EXIT", from_entry="L", stop=stopL)
else
    stopL := na

if inRange and inShort
    initStopS = entryPrice + stopN * N_entry
    chandelierS = trailLowest + trailN * N_entry
    stopS     := math.round_to_mintick(math.min(initStopS, chandelierS))
    strategy.exit("S-EXIT", from_entry="S", stop=stopS)
else
    stopS := na

//================ Plots
float dHiPlot = plotDon ? donHi : na
float dLoPlot = plotDon ? donLo : na
plot(dHiPlot, "Donchian High", color=color.new(color.blue, 40))
plot(dLoPlot, "Donchian Low",  color=color.new(color.blue, 40))

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

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

// Info table
var table infoTable = table.new(position.top_right, 2, 7, border_width=1)
if barstate.islast and showSignals
    table.cell(infoTable, 0, 0, "Strategy:", text_color=color.white, bgcolor=color.gray)
    table.cell(infoTable, 1, 0, "Vol-Adj Targets", text_color=color.white, bgcolor=color.purple)

    table.cell(infoTable, 0, 1, "Current Vol Ratio:", text_color=color.white, bgcolor=color.gray)
    volColor = volRatio > 1.2 ? color.red : (volRatio < 0.8 ? color.green : color.gray)
    table.cell(infoTable, 1, 1, str.tostring(math.round(volRatio, 2)) + "x", text_color=color.white, bgcolor=volColor)

    table.cell(infoTable, 0, 2, "Entry Vol Ratio:", text_color=color.white, bgcolor=color.gray)
    entryVolText = not na(volRatioEntry) ? str.tostring(math.round(volRatioEntry, 2)) + "x" : "N/A"
    table.cell(infoTable, 1, 2, entryVolText, text_color=color.white, bgcolor=color.gray)

    table.cell(infoTable, 0, 3, "Base Targets:", text_color=color.white, bgcolor=color.gray)
    table.cell(infoTable, 1, 3, str.tostring(baseTarget1N) + "/" + str.tostring(baseTarget2N) + "/" + str.tostring(baseTarget3N) + "N", text_color=color.white, bgcolor=color.gray)

    table.cell(infoTable, 0, 4, "Target 1:", text_color=color.white, bgcolor=color.gray)
    t1Status = target1Hit ? "✓ HIT" : "Pending"
    t1Color = target1Hit ? color.green : color.gray
    table.cell(infoTable, 1, 4, t1Status, text_color=color.white, bgcolor=t1Color)

    table.cell(infoTable, 0, 5, "Target 2:", text_color=color.white, bgcolor=color.gray)
    t2Status = target2Hit ? "✓ HIT" : "Pending"
    t2Color = target2Hit ? color.green : color.gray
    table.cell(infoTable, 1, 5, t2Status, text_color=color.white, bgcolor=t2Color)

    table.cell(infoTable, 0, 6, "Units:", text_color=color.white, bgcolor=color.gray)
    table.cell(infoTable, 1, 6, str.tostring(units) + "/" + str.tostring(maxUnits), text_color=color.white, bgcolor=color.gray)

Overview

Seykota Alt 24: Vol-Adjusted Targets allows long and short entries, places an ATR initial stop, trails with a chandelier stop, and can add units as price moves by a multiple of ATR, up to a unit cap. Optional profit targets scale three ATR distances by the current volatility regime versus a longer ATR average. An optional higher-timeframe moving-average filter and a minimum-volume check can block trades. Donchian bands, signals, and stops can be plotted. The backtest date range can flatten the position at the start.

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, Volatility & bands, Breakout

Markets

Stocks, Indices

Timeframes

Any timeframe

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
Donchian ENTRY lookbackint55entryLen
N = ATR lengthint20nLen
Initial stop (in N)float2.0stopN
Chandelier trail lookbackint22trailLen
Chandelier trail (in N)float3.0trailN
Add every X * Nfloat0.5addStepN
Max units (incl. initial)int4maxUnits
Risk % of equity PER UNITfloat1.0riskPct
Use volatility-adjusted targets?booltrueuseTargets
Volatility regime lookbackint100volLookback
Show all 26 settings
SettingTypeDefaultVariable
Base Target 1 (in N)float2.5baseTarget1N
Base Target 2 (in N)float5.0baseTarget2N
Base Target 3 (in N)float8.0baseTarget3N
Vol adjustment factor (0=none, 1=full)float0.5volAdjust
Use market regime filter?boolfalseuseMarket
Market symbol for regime (if used)symbolSPYmarketSym
Regime timeframe (if used)timeframeDmarketTF
Market MA length (if used)int200marketLen
Min 20-bar avg volume (chart TF)int0minVol
Plot signals & stops?booltrueshowSignals
Plot Donchian bands?booltrueplotDon
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.

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