The Velocity Strength Filter: -27.4% MDD Before 17.8% CAGR | High Risk

Welcome to Avalon QuantBrief, where we dissect high-performance systematic trading strategies to uncover their true risk-return profiles. Today, we analyze the famous Velocity Strength Filter, a momentum-driven strategy boasting a 17.8 percent CAGR but carrying a significant 27.4 percent maximum drawdown. We will break down its mechanics, explore our optimized modifications, and evaluate whether its high-risk profile is suitable for your portfolio.

Backtest Summary (2017–present)

📈 CAGR: 17.8%
📉 Max Drawdown: -27.4%
⚡ Sharpe Ratio: 0.85
💰 Total Return: 418.1%
🎯 Universe: TQQQ, UPRO, SOXL, FNGU, BULZ, TECL, TNA, SPXL, TLT, IEF, GLD, SHY, BIL

High Risk: Return Versus Risk

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While the Velocity Strength Filter boasts an impressive headline CAGR of 17.8 percent, it comes with a substantial maximum drawdown of 27.4 percent, placing it firmly in the high-risk category. Before examining the returns, investors must understand the underlying rules, the volatile return path, and the extended loss periods that define this strategy. This briefing provides an honest look at these risks to help you determine if the strategy is practically tradeable.

Mechanics of the Velocity Strength Filter

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The core engine of this famous strategy relies on weekly rebalancing across a diverse universe of high-beta assets like TQQQ and UPRO, alongside safe havens like TLT, ranked by a momentum velocity score. To protect capital, the system employs a strict regime rule: if SPY falls below its 200-day moving average, or if the VIX to VXV ratio exceeds 1.0, it shifts entirely to the strongest defensive asset. This dual-layered approach attempts to capture explosive upside while establishing a systematic emergency brake during market crises.

Optimizing the Momentum Engine

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To enhance this framework, we developed an adapted version featuring three critical upgrades designed to mitigate lag and volatility. First, a joint-indicator market health filter combines the SPY moving average with the VIX term structure to detect market stress up to ten days faster. Second, we introduce a risk-adjusted velocity ranking that divides three-month acceleration by twenty-day volatility, and finally, a three-day fractional execution model scales out of risk assets to minimize slippage.

Verified Backtest Results

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In historical simulations, our verified backtest of the Velocity Strength Filter produced a 17.8 percent CAGR, a 0.85 Sharpe ratio, and a 418.1 percent total return, alongside a 27.4 percent maximum drawdown. It is vital to remember that these are historical simulation results, not a guaranteed forecast of future performance. When evaluating this strategy, the depth of the drawdown is just as critical as the return metrics in determining its real-world viability.

Profit And Loss Regimes

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Analyzing the equity curve reveals that returns arrive highly unevenly, with the backtest recording 8 positive years and 3 negative years. To judge if this strategy can be held in practice, traders must look beyond the headline CAGR and carefully review the drawdown depth and recovery times. Understanding these distinct profit and loss regimes is essential for surviving the inevitable periods of underperformance.

Verdict: High Risk

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Our final verdict classifies the Velocity Strength Filter as a high-risk strategy due to its significant 27.4 percent historical drawdown. Any live implementation would require strict position sizing and robust risk management to survive these deep equity swings. Treat these findings strictly as research, compare them against alternative models, and never assume past backtest performance will repeat in live markets.

⚠️ Not financial advice. This is for educational purposes only. Always do your own research before investing.

📄 Original paper: Tactical Selection via Velocity and Acceleration

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