Donchian Four-Week Rule Backtest

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Donchian Four-Week Rule strategy summary

The Donchian Four-Week Rule is a stop-and-reverse trend-following strategy that uses strict 20-day High/Low channel breakouts on SPY to shift between long and short exposure as price moves beyond its recent four-week range.

The active decision is simple: use a prior 20 completed trading-day channel to decide whether SPY should be held long or short. An upside breakout turns the strategy long. A downside breakout turns the strategy short. The test isolates the effect of that systematic stop-and-reverse breakout rule relative to continuous SPY ownership.

What this strategy is not

  • Not the Turtle Trading system, which adds separate rules for units, pyramiding, stops, markets, and risk sizing.
  • Not a full original futures or commodities replication; this backtest uses SPY as the tradable proxy.
  • Not a long-only breakout filter; it is a long-short stop-and-reverse rule after valid breakouts.
  • Instead: it is a rules-based SPY proxy test of Donchian’s Four-Week Rule, implemented as a long-short stop-and-reverse breakout strategy.

Report summary

ItemValue
StrategyDonchian Four-Week Rule
CategoryTrend following / Breakout
UniverseSPY
Trade DirectionLong-short
Free Preview Window2021–2025 (5 years); BTS uses the five most recent whole calendar years for free previews.
Full Backtest Period1994–2025 (32 years); BTS uses the longest supported whole-calendar-year window available under the strategy universe, required instrument history, indicator warm-up, and methodology rules.
Window Start RuleFirst valid trading day in 1994 after required data availability
Starting Capital$10,000
Primary BenchmarkSPY buy-and-hold
Methodology VersionBTS-3377
Publication DateMay 28, 2026
Source / CreditRichard Donchian; SPY proxy implementation of the Four-Week Rule

Benchmark summary

The primary benchmark is SPY buy-and-hold. It preserves the traded instrument and broad U.S. equity-index exposure while removing the Donchian breakout signal, stop-and-reverse state changes, and short-side exposure.

This keeps the comparison focused on the tested active decision: whether governing SPY exposure with the Four-Week Rule changed the path versus holding SPY continuously.

For the benchmark-selection framework, see How to Choose the Right Benchmark.

  • Primary Benchmark: SPY buy-and-hold.
  • Preserves: the traded instrument and broad U.S. equity-index exposure.
  • Removes: the Donchian breakout signal, stop-and-reverse state changes, and short-side exposure.
  • Excludes: Turtle-system additions, diversified futures exposure, and discretionary trend-following overlays.

Key metrics: 2021–2025 free preview

  • The free preview is a recent-window orientation tool, not the complete evidence set.
  • A five-year free-preview window can be useful, but it can also overstate or understate the full historical tradeoff.
  • The full report expands the scorecard across the complete report window and adds the path-level interpretation behind the headline numbers.

In this five-year free preview, the Donchian Four-Week Rule SPY proxy trailed SPY buy-and-hold on CAGR and ending capital. The strategy had a smaller maximum drawdown than the benchmark, but the recent-window result still shows the core tradeoff: the breakout rule did not keep up with passive SPY compounding.

CategoryMetricStrategyBenchmark
ActivityTime in Market99.9%100.0%
ActivityTrades per Year13.8
ActivityWin Rate42.9%
RiskVolatility15.7%17.1%
RiskMax Drawdown-15.7%-24.5%
RiskSharpe Ratio0.50.9
RiskCalmar Ratio0.40.6
ResultCAGR6.8%14.7%
ResultEnding Capital$13,861$19,791
2021–2025, whole calendar years. Ending Capital is final value of a rebased $10,000 starting account. Time in Market excludes terminal reporting closes. Win Rate uses FIFO closed-position observations. Benchmark is a passive hold, not a recurring trade system, so benchmark Trades per Year and Win Rate are not reported.


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Full scorecard metrics: compare the complete return, risk, drawdown, activity, CAGR, and ending-capital record against the benchmark.
Equity curves: see the strategy’s path personality: how it behaves across market environments, where it gains or loses ground, and how its journey compares with the benchmark.
Drawdown profiles: evaluate the losses, recovery periods, and time underwater that shape the real investor experience.
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Pseudocode strategy logic: convert the written rules into a clear implementation sequence with signal timing, state handling, and target-output logic.
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Calendar-return summary: separate consistent behavior from standout years, weak years, and flat years.
Regime-filtered results: compare how the strategy behaved in benchmark up years versus benchmark down years.
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3-year rolling windows: examine shorter holding-period outcomes, including best cases, worst cases, and benchmark-relative consistency.
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Further research