Backtest results

Metrics

1Y · since Oct 2025
V1 QLD bot | QLD FTLT
Total Return+17.88%
CAGR+18.04%
Sharpe0.67
Calmar0.74
Max DD-24.46%
Volatility32.75%
Win Rate53.0%

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

About this strategy

Aggressive and adaptive, the strategy mainly holds leveraged Nasdaq (QLD) when the S&P 500 is above its 200-day average and the Nasdaq is not overbought, but switches to short-term bonds (TLT) or short-QQQ (QID) when the Nasdaq falls below its 20-day average or the market shows oversold conditions. It protects itself by moving into inverse S&P 500 (SSO) when the S&P 500 is not oversold, and into short-QQQ (QID) when the Nasdaq is overbought, keeping risk in check during market swings.

Current allocation

What the rules select as of Oct 30, 2026.

  • QQQ

    Invesco QQQ Trust, Series 1

    100%

Frequently asked questions

What is V1 QLD bot | QLD FTLT?

Aggressive and adaptive, the strategy mainly holds leveraged Nasdaq (QLD) when the S&P 500 is above its 200-day average and the Nasdaq is not overbought, but switches to short-term bonds (TLT) or short-QQQ (QID) when the Nasdaq falls below its 20-day average or the market shows oversold conditions. It protects itself by moving into inverse S&P 500 (SSO) when the S&P 500 is not oversold, and into short-QQQ (QID) when the Nasdaq is overbought, keeping risk in check during market swings.

What is V1 QLD bot | QLD FTLT holding today?

As of Oct 30, 2026, V1 QLD bot | QLD FTLT allocates to QQQ 100%.

How has V1 QLD bot | QLD FTLT performed over the past year?

From Oct 30, 2025 to Oct 30, 2026, V1 QLD bot | QLD FTLT returned +20.1% in a hypothetical backtest. Past performance does not guarantee future results.

What is the maximum drawdown of V1 QLD bot | QLD FTLT?

From Oct 30, 2025 to Oct 30, 2026, the largest peak-to-trough decline of V1 QLD bot | QLD FTLT in a hypothetical backtest was -24.5%.

How do I use V1 QLD bot | QLD FTLT?

Open V1 QLD bot | QLD FTLT 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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