V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation

Backtest results

Metrics

1Y · since Oct 2025
V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation
Total Return+5.77%
CAGR+5.81%
Sharpe0.84
Calmar1.34
Max DD-4.33%
Volatility7.02%
Win Rate53.4%

Last year of a hypothetical backtest, Oct 30, 2025 to Oct 30, 2026. Create an account to see the full history.

About this strategy

Dynamic and defensive, the strategy mainly holds leveraged Nasdaq (TQQQ) and short-QQQ (SQQQ) while it monitors short-term momentum and risk-off signals. When the Nasdaq is overbought or the 200-day trend turns negative it shifts to inverse or bond (TLT) positions, protecting capital with inverse volatility weighting. It also tilts to the dollar (UUP) or Treasury (IEF) when the S&P 500 underperforms the commodity index (DBC).

Current allocation

What the rules select as of Oct 30, 2026.

  • UUP

    Invesco DB US Dollar Index Bullish Fund

    47%
  • IEF

    iShares 7-10 Year Treasury Bond ETF

    27.3%
  • QQQ

    Invesco QQQ Trust, Series 1

    20%
  • DBC

    Invesco DB Commodity Index Tracking Fund

    5.7%

Frequently asked questions

What is V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation?

Dynamic and defensive, the strategy mainly holds leveraged Nasdaq (TQQQ) and short-QQQ (SQQQ) while it monitors short-term momentum and risk-off signals. When the Nasdaq is overbought or the 200-day trend turns negative it shifts to inverse or bond (TLT) positions, protecting capital with inverse volatility weighting. It also tilts to the dollar (UUP) or Treasury (IEF) when the S&P 500 underperforms the commodity index (DBC).

What is V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation holding today?

As of Oct 30, 2026, V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation allocates to UUP 47%, IEF 27.3%, QQQ 20%, DBC 5.7%.

How has V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation performed over the past year?

From Oct 30, 2025 to Oct 30, 2026, V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation returned +6.3% in a hypothetical backtest. Past performance does not guarantee future results.

What is the maximum drawdown of V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation?

From Oct 30, 2025 to Oct 30, 2026, the largest peak-to-trough decline of V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation in a hypothetical backtest was -4.3%.

How do I use V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation?

Open V1 | Zero-Beta Strategy | GiantSteps | Adaptive Asset Allocation in Quantly to rerun the backtest, adjust the rules, and paper trade it. You can also connect a supported brokerage to trade your version live.

Backtest results are hypothetical and do not guarantee future returns. Strategies are shared by Quantly users for research only and are not investment advice.

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