Strategy · Pine Script v6 · On the chart

Seykota Alt 46: Sector Adaptive

by trustdan· code credited to danieltuckerrust

This strategy implements a Donchian breakout trend-following system with sector-adaptive profit targets and ATR-based volatility sizing.

View on GitHub

GitHub stars16on the repository
Pine versionv6current
Lines of code137
Settings31inputs
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

137 lines of Pine Script v6 from pine-scripts/seykota_alt46_sector_adaptive_parameters.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

seykota_alt46_sector_adaptive_parameters.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 46: Sector-Adaptive Parameters
// THEORY: Different asset types need different profit targets based on movement characteristics
// - INDIVIDUAL STOCKS: Standard 3N-6N-9N (proven Alt10 targets)
// - ETFs: Wider 4N-7N-10N (slow grinders need time - Alt39's SPY +131% used wide targets)
// - COMMODITIES/ENERGY: Tighter 2N-4N-6N (mean-reverting, book profits faster)
// INSIGHT: Alt39's legendary SPY result came from wide targets. One-size-fits-all fails.
// HYPOTHESIS: Matching targets to asset behavior improves all categories
// Expected to improve: SPY/QQQ (wide targets), FCX/XOM (tight targets to avoid reversals)

//@version=6
strategy("Seykota Alt 46: Sector Adaptive 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)

allowLong = input.bool(true, "Allow LONGs?"), allowShort = input.bool(true, "Allow SHORTs?")
entryLen = input.int(55, "Donchian ENTRY", minval=10), nLen = input.int(20, "N = ATR length", minval=5)
stopN = input.float(2.0, "Initial stop (N)", minval=0.5, step=0.25)
trailLen = input.int(22, "Trail lookback", minval=5), trailN = input.float(3.0, "Trail (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", minval=1, maxval=10)
riskPct = input.float(1.0, "Risk % per unit", minval=0.1, maxval=5, step=0.1)

// Asset Type Selection (user must manually configure based on what they're trading)
assetType = input.string("Stock", "Asset Type", options=["Stock", "ETF", "Commodity"])
useTargets = input.bool(true, "Use adaptive targets?")

// Target sets for each asset type
// STOCKS: Standard Alt10 targets (proven 76% success rate)
stockT1 = input.float(3.0, "Stock T1 (N)", minval=1, step=0.5)
stockT2 = input.float(6.0, "Stock T2 (N)", minval=1, step=0.5)
stockT3 = input.float(9.0, "Stock T3 (N)", minval=1, step=0.5)

// ETFs: Wider targets (Alt39 SPY used 4N-7N-10N for young positions = +131%)
etfT1 = input.float(4.0, "ETF T1 (N)", minval=1, step=0.5)
etfT2 = input.float(7.0, "ETF T2 (N)", minval=1, step=0.5)
etfT3 = input.float(10.0, "ETF T3 (N)", minval=1, step=0.5)

// COMMODITIES: Tighter targets (mean-reverting, book profits fast)
commT1 = input.float(2.0, "Commodity T1 (N)", minval=1, step=0.5)
commT2 = input.float(4.0, "Commodity T2 (N)", minval=1, step=0.5)
commT3 = input.float(6.0, "Commodity T3 (N)", minval=1, step=0.5)

useMarket = input.bool(false, "Use regime filter?"), marketSym = input.symbol("SPY", "Market symbol")
marketTF = input.timeframe("D", "Regime TF"), marketLen = input.int(200, "Market MA", minval=50)
minVol = input.int(0, "Min volume", minval=0), showSignals = input.bool(true, "Plot signals?"), plotDon = input.bool(true, "Plot Donchian?")
fromDate = input.time(defval=timestamp("2022-01-01T00:00:00"), title="FROM", confirm=true)
toDate = input.time(defval=timestamp("2099-12-31T23:59:59"), title="TO", confirm=true)
flatAtFrom = input.bool(true, "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")

sharesForUnit(_e, _n) =>
    r = _e * (riskPct/100.0)
    psr = math.max(stopN * _n, syminfo.mintick)
    math.max(1, math.floor(r / psr))

inRange = (time >= fromDate) and (time <= toDate)
N = ta.atr(nLen), volMA = ta.sma(volume, 20), liqOK = volMA >= minVol
donHi = ta.highest(high, entryLen), donLo = ta.lowest(low, entryLen)
donHiPrev = donHi[1], donLoPrev = donLo[1]
trailHighest = ta.highest(high, trailLen), trailLowest = ta.lowest(low, trailLen)
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)
longBreak = allowLong and liqOK and longRegOK and (close > donHiPrev)
shortBreak = allowShort and liqOK and shortRegOK and (close < donLoPrev)

var float N_entry = na, var float entryPrice = na, var float lastAddLong = na, var float lastAddShort = na
var int units = 0, var bool t1 = false, var bool t2 = false, var bool t3 = false
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, t1 := false, t2 := false, t3 := false

if inRange and not inPos and longBreak
    N_entry := N, entryPrice := close, strategy.entry("L", strategy.long, qty=sharesForUnit(strategy.equity, N_entry))
    units := 1, lastAddLong := close
if inRange and not inPos and shortBreak
    N_entry := N, entryPrice := close, strategy.entry("S", strategy.short, qty=sharesForUnit(strategy.equity, N_entry))
    units := 1, lastAddShort := close

if inRange and inLong and units < maxUnits and high >= nz(lastAddLong) + addStepN * N_entry
    strategy.entry("L", strategy.long, qty=sharesForUnit(strategy.equity, N_entry)), units += 1, lastAddLong := close
if inRange and inShort and units < maxUnits and low <= nz(lastAddShort) - addStepN * N_entry
    strategy.entry("S", strategy.short, qty=sharesForUnit(strategy.equity, N_entry)), units += 1, lastAddShort := close

// SELECT TARGETS BASED ON ASSET TYPE
var float activeT1 = na, var float activeT2 = na, var float activeT3 = na
if assetType == "Stock"
    activeT1 := stockT1, activeT2 := stockT2, activeT3 := stockT3
else if assetType == "ETF"
    activeT1 := etfT1, activeT2 := etfT2, activeT3 := etfT3
else if assetType == "Commodity"
    activeT1 := commT1, activeT2 := commT2, activeT3 := commT3

// Apply selected targets
if useTargets and inLong and not na(entryPrice) and not na(N_entry)
    if not t1 and high >= entryPrice + activeT1 * N_entry
        strategy.close("L", qty=sharesForUnit(strategy.equity, N_entry), comment="T1"), t1 := true
    if t1 and not t2 and high >= entryPrice + activeT2 * N_entry
        strategy.close("L", qty=sharesForUnit(strategy.equity, N_entry), comment="T2"), t2 := true
    if t2 and not t3 and high >= entryPrice + activeT3 * N_entry
        strategy.close("L", qty=sharesForUnit(strategy.equity, N_entry), comment="T3"), t3 := true

if useTargets and inShort and not na(entryPrice) and not na(N_entry)
    if not t1 and low <= entryPrice - activeT1 * N_entry
        strategy.close("S", qty=sharesForUnit(strategy.equity, N_entry), comment="T1"), t1 := true
    if t1 and not t2 and low <= entryPrice - activeT2 * N_entry
        strategy.close("S", qty=sharesForUnit(strategy.equity, N_entry), comment="T2"), t2 := true
    if t2 and not t3 and low <= entryPrice - activeT3 * N_entry
        strategy.close("S", qty=sharesForUnit(strategy.equity, N_entry), comment="T3"), t3 := true

var float stopL = na, var float stopS = na
if inRange and inLong
    stopL := math.round_to_mintick(math.max(entryPrice - stopN * N_entry, trailHighest - trailN * N_entry))
    strategy.exit("L-EXIT", from_entry="L", stop=stopL)
else
    stopL := na
if inRange and inShort
    stopS := math.round_to_mintick(math.min(entryPrice + stopN * N_entry, trailLowest + trailN * N_entry))
    strategy.exit("S-EXIT", from_entry="S", stop=stopS)
else
    stopS := na

plot(plotDon ? donHi : na, "DonHi", color=color.new(color.blue, 40))
plot(plotDon ? donLo : na, "DonLo", color=color.new(color.blue, 40))
plotshape(showSignals and longBreak, title="L", style=shape.triangleup, location=location.belowbar, size=size.tiny, color=color.new(color.green, 0))
plotshape(showSignals and shortBreak, title="S", style=shape.triangledown, location=location.abovebar, size=size.tiny, color=color.new(color.red, 0))
// Color based on asset type: green = stock, blue = ETF, orange = commodity
typeColor = assetType == "Stock" ? color.green : (assetType == "ETF" ? color.blue : color.orange)
plot(showSignals and inLong ? stopL : na, "Stop", color=color.new(typeColor, 0), style=plot.style_linebr, linewidth=2)
plot(showSignals and inShort ? stopS : na, "Stop", color=color.new(typeColor, 0), style=plot.style_linebr, linewidth=2)

Overview

Seykota Alt 46: Sector Adaptive enters positions on Donchian channel breakouts, pyramiding additional units at ATR increments up to a configurable maximum. Exits rely on an initial ATR stop, a trailing channel exit, and tiered multi-target take-profits tailored for stocks, ETFs, or commodities. An optional broad-market regime filter restricts trades to favorable macro environments.

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

Breakout, Trend, Volatility & bands

Markets

Stocks, Oil & commodities

Timeframes

H4 and above

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 ENTRYint55entryLen
N = ATR lengthint20nLen
Initial stop (N)float2.0stopN
Trail lookbackint22trailLen
Trail (N)float3.0trailN
Add every X*Nfloat0.5addStepN
Max unitsint4maxUnits
Risk % per unitfloat1.0riskPct
Asset TypestringStockassetType
Use adaptive targets?booltrueuseTargets
Show all 31 settings
SettingTypeDefaultVariable
Stock T1 (N)float3.0stockT1
Stock T2 (N)float6.0stockT2
Stock T3 (N)float9.0stockT3
ETF T1 (N)float4.0etfT1
ETF T2 (N)float7.0etfT2
ETF T3 (N)float10.0etfT3
Commodity T1 (N)float2.0commT1
Commodity T2 (N)float4.0commT2
Commodity T3 (N)float6.0commT3
Use regime filter?boolfalseuseMarket
Market symbolsymbolSPYmarketSym
Regime TFtimeframeDmarketTF
Market MAint200marketLen
Min volumeint0minVol
Plot signals?booltrueshowSignals
Plot Donchian?booltrueplotDon
FROMtimetimestamp("2022-01-01T00:00:00")fromDate
TOtimetimestamp("2099-12-31T23:59:59")toDate
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