BTS Zones — Major Indexes Backtest

BTS Zones — Major Indexes is a long-only tactical allocation strategy built to pursue targeted equity participation from the premise that recurring calendar windows can identify favorable periods for major-index exposure, using published BTS Strength Zones and a portfolio-level VIX 50/35 admission regime across QQQ, MDY, IJR, and IYT, with SPY or SHY used when no zone is entered.

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Strategy summary

BTS Zones — Major Indexes is a long-only, event-driven tactical equity allocation model. The BTS heat map supplies eight published BTS Strength Zone windows across four major-index ETFs, while a portfolio-level VIX 50/35 regime determines whether an active zone may enter.

The strategy uses recurring calendar windows to seek targeted equity exposure. The VIX regime controls admission, scheduled zone endings control exits, and a blocked zone may enter later if the regime returns to ON while the zone remains active.

The traded set combines four offensive source-index mappings with two fallback ETFs:

  • Nasdaq-100: QQQ
  • S&P MidCap 400: MDY
  • S&P SmallCap 600: IJR
  • Dow Jones Transportation Average: IYT
  • Fallback assets: SPY / SHY

Once admitted, each ETF remains held through its scheduled BTS Strength Zone and exits at the Close of its final trading day. At target-decision events, all entered BTS Strength Zone ETFs are equal-weighted.

The portfolio remains long-only and targets full investment whenever its allocation is set. Entered BTS Strength Zone ETFs receive the full allocation; with zero entered zones, SPY carries the ON state and SHY carries the OFF state. The backtest evaluates whether combining the published BTS Strength Zones with VIX-gated admission adds value relative to passive SPY ownership.

What this strategy is not

  • Not a VIX exit strategy: a later OFF signal does not terminate or resize a BTS Strength Zone that has already entered.
  • Not a relative-strength ranking model: the strategy does not select only the highest-ranked ETF or rotate into a single winner.
  • Not a fixed four-ETF basket or daily equal-weight portfolio: only entered zones receive weight, and routine market drift does not trigger rebalancing.
  • Instead: it is an event-driven allocation model that admits published BTS Strength Zones while the portfolio-level VIX regime is ON, holds admitted zones to their scheduled ending, and uses SPY or SHY when no zone is entered.

Report summary

ItemValue
StrategyBTS Zones — Major Indexes
CategoryTactical allocation / VIX-regime BTS Strength Zones
UniverseQQQ, MDY, IJR, IYT, SPY, SHY; $VIX is a non-traded reference
Trade DirectionLong-only allocation
Free Preview Window2021–2025 (5 years); BTS uses the five most recent whole calendar years for free previews.
Full Backtest Period2004–2025 (22 years); BTS uses the available whole-calendar-year window supported by required ETF history and methodology rules.
Window Start RuleThe last valid pre-window $VIX Close establishes the opening regime; active BTS Strength Zones and the fallback allocation are then evaluated at the first strategy Open.
Starting Capital$10,000
Primary BenchmarkSPY buy-and-hold
Methodology VersionBTS-3377
Publication DateJune 27, 2026
Source / CreditBrian Ernest Metzger; BTS Zones methodology and Major Indexes Heatmap

Benchmark summary

The primary benchmark is buy-and-hold SPY. It preserves broad U.S. equity-market exposure through continuous passive ownership of SPY.

The strategy adds published BTS Strength Zone timing, VIX-gated admission, equal allocation across entered zones, and an SPY/SHY fallback when zero zones are entered.

The comparison therefore tests whether the strategy’s calendar-zone and admission decisions added value relative to passive SPY ownership.

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

  • Primary Benchmark: buy-and-hold SPY.
  • Preserves: broad U.S. equity-market exposure through continuous passive SPY ownership.
  • Removes: published BTS Strength Zone timing, VIX-gated admission, equal allocation across entered zones, and the SPY/SHY fallback.
  • Excludes: other tactical allocation, ranking, and market-timing rules that are not part of this strategy.

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.

The recent window was positive but mixed. BTS Zones produced 16.2% CAGR and $21,144 of ending capital versus 14.7% and $19,791 for buy-and-hold SPY. Strategy volatility was higher at 18.5% versus 17.1% for SPY, and strategy max drawdown was deeper at -26.1% versus -24.5%. The preview therefore supports a modest return edge, not a clean recent-window risk advantage.

CategoryMetricStrategyBenchmark
ActivityTime in Market98.8%100.0%
ActivityTrades per Year35.8
ActivityWin Rate72.1%
RiskVolatility18.5%17.1%
RiskMax Drawdown-26.1%-24.5%
RiskSharpe Ratio0.90.9
RiskCalmar Ratio0.60.6
ResultCAGR16.2%14.7%
ResultEnding Capital$21,144$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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Rules and mechanics

This section explains how the tested strategy decides what to hold and how those choices differ from the benchmark.

Decision rules

  • Use the BTS heat map as the authoritative source for the eight published BTS Strength Zone windows and their timing.
  • Use exactly eight BTS Strength Zones across QQQ, MDY, IJR, and IYT, with SPY and SHY as fallback holdings. Use $VIX solely as a non-traded reference series.
  • Maintain one portfolio-level VIX regime. An OFF event occurs when $VIX Close(t) crosses strictly above 50; an ON event occurs when $VIX Close(t) crosses strictly below 35. Otherwise, retain the prior regime. Initialize the regime for the first strategy Open from the last valid pre-window $VIX Close: above 50 = OFF; otherwise ON.
  • At the first true Open of a BTS Strength Zone, enter its ETF when the regime for that Open is ON. When the regime is OFF, leave the zone active but unentered.
  • If an active zone was blocked while OFF, admit it at the first true Open after the regime changes to ON, but only when that execution Open remains inside the zone.
  • Once admitted, hold the ETF unchanged through its scheduled BTS Strength Zone and exit at the Close of the zone’s final true trading day.
  • When one or more BTS Strength Zone ETFs are entered, allocate 100% equally across the entered ETFs and allocate 0% to SPY and SHY. Active but unentered zones remain at 0%.
  • With zero entered BTS Strength Zone ETFs and the regime ON, allocate 100% to SPY.
  • With zero entered BTS Strength Zone ETFs and the regime OFF, allocate 100% to SHY.
  • Rebalance only at target-decision events: the first strategy Open, a BTS Strength Zone admission Open, the first true Open after final-zone Close exits, or a no-zone VIX transition that changes the SPY/SHY fallback.
  • At a final-zone Close, liquidate the ending BTS Strength Zone positions only. Hold the resulting cash temporarily and rebuild the complete target portfolio at the next true Open.

Illustration

Calendar illustration showing eight recurring BTS Strength Zone windows across the Nasdaq-100, S&P MidCap 400, S&P SmallCap 600, and Dow Jones Transportation Average.
Figure 1. BTS Strength Zones example: highlighted calendar windows illustrate the recurring index periods used to define the strategy’s published BTS Strength Zone schedule.

Strategy and benchmark mechanics

The table below compares the strategy and benchmark mechanics side by side. The objective is to show what the active rules add, remove, or change relative to the benchmark.

SettingStrategyBenchmark
Portfolio TypeLong-only, event-driven tactical allocation.Single-symbol SPY buy-and-hold benchmark.
Portfolio ConstructionEqual-weight the full portfolio across entered BTS Strength Zone ETFs; with zero entered zones, allocate 100% to SPY while the regime is ON or 100% to SHY while it is OFF.Allocate 100% to SPY after initial entry and hold it throughout the test.
Leverage / ShortingNo leverage and no short positions.No leverage and no short positions.
Active DecisionUse published BTS Strength Zones and the VIX 50/35 regime to determine zone admission and the SPY/SHY fallback state.Hold SPY continuously after the initial benchmark entry.
Signal TimingMaintain one persistent portfolio-level VIX regime, initialized from the last valid pre-window $VIX Close and updated only on strict crossings above 50 (OFF) or below 35 (ON), effective at the next trading-day Open. A published BTS Strength Zone may be admitted only at an eligible Open while the regime is ON.No recurring signal after the initial benchmark entry.
Execution TimingBTS Strength Zone admissions and event rebalances occur at the applicable Open. Entered zones exit at their final-zone Close, with portfolio reconstruction at the next trading-day Open.Initial SPY entry follows the benchmark execution convention; the position then remains buy-and-hold.
Cash TreatmentResidual cash from whole-share sizing and portfolio cashflows remains in cash and earns 0% until the next strategy action. Final-zone Close proceeds remain in cash until the next trading-day Open.Residual benchmark cash remains in cash and earns 0% under BTS benchmark conventions.
Dividend TreatmentOrdinary dividends are posted to portfolio cash and become deployable at the next strategy action; they are not embedded in signal inputs.The benchmark uses total-return accounting with ordinary dividends reinvested synthetically.
CostsStrategy trades include commissions and spread-aware slippage under BTS execution-pricing conventions.Benchmark entry and terminal reporting close use BTS benchmark transaction-cost assumptions; synthetic dividend reinvestment is costless.
Role in ComparisonTests the published BTS Strength Zone schedule, VIX-gated admission, equal allocation across entered zones, and the SPY/SHY fallback rule.Preserves passive U.S. equity exposure as the control for evaluating the strategy’s active decisions.


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Full backtest history

Full backtest history shows the complete scorecard, path behavior, caution flags, failure modes, and portfolio-role framing behind the tested result.

Key metrics: 2004–2025 full backtest

CategoryMetricStrategyBenchmark
ActivityTime in Market98.8%100.0%
ActivityTrades per Year34.4
ActivityWin Rate68.4%
RiskVolatility17.6%18.8%
RiskMax Drawdown-26.1%-55.2%
RiskSharpe Ratio0.90.6
RiskCalmar Ratio0.60.2
ResultCAGR14.5%10.6%
ResultEnding Capital$198,004$91,344
2004–2025, whole calendar years. Ending Capital is the final marked-to-market account value after modeled costs, dividends, and residual cash. 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.

What the scorecard shows

Key takeaways

  • Stronger long-run compounding: the strategy finished the full report window with a higher CAGR and substantially more ending capital than buy-and-hold SPY.
  • Shallower full-window losses: volatility was modestly lower and maximum drawdown was materially smaller than the benchmark.
  • A less decisive recent window: the 2021–2025 preview retained a return edge but did not show the same risk advantage.

Over the full report window, the backtest shows a favorable combination of compounding and downside containment relative to passive SPY ownership. The strategy’s activity level was much higher than the benchmark’s, so the result depends on the tested calendar windows, admission rules, event timing, and implementation conventions rather than on passive market exposure alone.

Caution flags

FlagWhy it mattersWhere to review the evidence
Recent-window risk edge was absentIn 2021–2025, strategy volatility was 18.5% versus 17.1% for SPY and max drawdown was -26.1% versus -24.5%.Free-preview scorecard
Material losses still occurredA -26.1% maximum drawdown remains a large portfolio loss even though it was much smaller than SPY’s full-window drawdown.Full scorecard; drawdown profile
Near-continuous exposure is not cash-like defenseTime in Market was 98.8%; market exposure remained high outside brief transition gaps.Key metrics: 2004–2025 full backtest; Equity curve
Active implementation burden remainsThe strategy averaged 34.4 modeled executions per year over the 2004–2025 full window. Trades per Year excludes the terminal reporting close.Key metrics: 2004–2025 full backtest
Relative lags still occurredThe largest calendar-year lag was 12.9 percentage points in 2006; the worst three-year rolling lag was 3.8 points per year.Annual and rolling diagnostics

Equity curve

BTS Zones finished far ahead of buy-and-hold SPY, but the path was still equity-like rather than defensive.

BTS Zones — Major Indexes
Buy-and-hold SPY
Line chart comparing BTS Zones — Major Indexes and buy-and-hold SPY daily account growth from 2004 through 2025, both starting from a $10,000 inception anchor. The strategy finishes near $198,000 versus about $91,000 for SPY.
Figure 2. BTS Zones — Major Indexes vs. buy-and-hold SPY, 2004–2025 report window, starting capital $10,000, inception-anchored daily account-equity path, linear scale; BTS Methodology conventions apply for costs, dividends, and residual cash.

What the equity curve shows

The strategy’s advantage accumulated across multiple cycles rather than from one isolated crisis trade. BTS Zones finished at $198,004 versus $91,344 for buy-and-hold SPY, while experiencing a much smaller decline during 2008–2009.

The curve was not uniformly defensive. The strategy reached a peak on Nov. 25, 2024, fell 26.1% by Apr. 21, 2025, and did not recover that peak until Dec. 10, 2025. It then reached a new high on Dec. 11 before ending the year 3.3% below that peak.

The endpoint gap supports a strong long-run compounding result, but the 2025 drawdown shows that the strategy still accepted material equity risk. The path is better described as active downside containment than as continuous low-volatility defense.

Drawdown profile

The drawdown profile isolates each series’ decline from its own prior equity peak and shows how loss depth, recovery, and time underwater differed between the strategy and buy-and-hold SPY.

BTS Zones — Major Indexes
Buy-and-hold SPY
Drawdown chart comparing BTS Zones — Major Indexes and buy-and-hold SPY from 2004 through 2025. The strategy’s worst drawdown is about -26%, while SPY’s reaches about -55%; the strategy’s maximum drawdown occurs from late 2024 into 2025.
Figure 3. BTS Zones — Major Indexes and buy-and-hold SPY drawdowns, 2004–2025 report window, daily equity series, drawdown scale; BTS Methodology conventions apply for costs, dividends, and residual cash.
MetricStrategyBenchmark
Max drawdown-26.1%-55.2%
Peak-to-trough windowNov. 25, 2024 to Apr. 21, 2025Oct. 9, 2007 to Mar. 9, 2009
Recovery from max drawdownDec. 10, 2025Aug. 16, 2012
Longest drawdown periodOct. 31, 2007 to Sept. 15, 2009 (685 calendar days)Oct. 9, 2007 to Aug. 16, 2012 (1,773 calendar days)
Ending drawdown-3.3%-1.3%

The drawdown profile shows a materially shallower worst loss and shorter recovery burden than buy-and-hold SPY.

The strategy’s worst episode occurred from late 2024 into 2025, while its longest underwater period remained tied to the 2007–2009 cycle. Reduced drawdown depth did not eliminate long recovery periods or ending drawdown.

Failure modes and tradeoffs

The strategy did not eliminate timing risk. Its worst loss remained substantial, and the recent preview shows that the model can carry more volatility and drawdown than SPY even when it retains a return advantage.

The second tradeoff is implementation burden. The tested result depends on an active, event-driven allocation process with recurring admissions, exits, and fallback changes rather than passive equity ownership.

The third tradeoff is opportunity cost. Some calendar years and rolling windows favored SPY, so the full-window advantage required tolerating periods of relative underperformance.

Where this strategy may fit

Based on this test, BTS Zones — Major Indexes is best read as a tactical major-index allocation model whose value depends on the interaction between published calendar windows, VIX-gated admission, and event-driven portfolio construction.

Benefit

The full report window showed stronger compounding and materially shallower losses than passive SPY ownership.

Cost

The tested design required active implementation and still experienced substantial drawdowns, uneven recent-window risk, and periods of benchmark-relative underperformance.

Role

In portfolio-context terms, the evidence supports evaluating the strategy as an active equity-allocation sleeve rather than as a cash substitute, a continuously defensive allocation, or a strategy expected to lead in every market period.


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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.
Monthly and annual returns: see when the strategy actually made or lost money across the calendar record.
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.
Rolling-window diagnostics: test whether the result depended on the full sample or held across many start and end dates.
3-year rolling windows: examine shorter holding-period outcomes, including best cases, worst cases, and benchmark-relative consistency.
5-year rolling windows: evaluate longer-window durability and whether the strategy’s defensive profile persisted over fuller market cycles.
Implementation guardrails: avoid accidentally testing a different strategy by changing timing, cash treatment, window rules, or state logic.

Further research