Understanding Momentum Quality Score

When evaluating stocks, one of the most important questions is: "How much return am I getting for the risk I'm taking?"

The Momentum Quality Score answers this by measuring reward per unit of recent downside risk, helping you find stocks with strong performance and controlled pullbacks.

What is the Calmar Ratio?

The technical name for this is the Calmar Ratio, which measures return divided by maximum drawdown.

Drawdown refers to the fall in percentage terms from the highest price during a period.

We are calling it Momentum Quality Score (MQS). The Momentum Score tells you how fast a stock is rising. The Momentum Quality Score tells you how it got there. A high MQS means a smooth, steady climb, while a low score indicates a wild, gut-wrenching ride.

What This View Shows

The Momentum Quality Score view provides rolling performance and risk metrics for each stock over your selected time period.

Key Features:

  • Multiple time periods: 1w, 2w, 4w, 8w, 13w, 26w, or 52w rolling windows
  • Risk metrics: Max Drawdown and Current Drawdown
  • Performance metrics: Returns and MQS
  • Sortable columns: Find leaders by any metric
  • Symbol search: Quick navigation to specific stocks

Understanding Each Column

Returns (%)

Price change from the first close in the window to the latest close

((latest_close − first_close) / first_close) × 100

Max Drawdown (%)

Biggest peak-to-trough drop that occurred anywhere inside the window

((peak_high − trough_low) / peak_high) × 100

Current Drawdown (%)

How far today's close is below the window's peak

((peak_high − latest_close) / peak_high) × 100

MQS

Also known as the Calmar Ratio. Measures reward per unit of recent downside risk. Higher values indicate smoother, steadier climbs.

Returns ÷ Max Drawdown

Note: If Max Drawdown is 0 (no pullback occurred), the MQS is undefined and displays as "—"

Available Time Periods

Each period serves different trading styles and analysis needs:

PeriodWindowBest For
1 Week7 calendar daysUltra short-term momentum, day trading signals
2 Weeks14 calendar daysShort-term trends, swing trading opportunities
4 Weeks28 calendar days (~1 month)Monthly performance, sector rotation
8 Weeks56 calendar days (~2 months)Medium-term trends, earnings cycles
13 Weeks91 calendar days (~1 quarter)Quarterly performance, institutional rebalancing
26 Weeks182 calendar days (~6 months)Half-year trends, major momentum shifts
52 Weeks364 calendar days (~1 year)Annual performance, long-term strength

Quick Reads and Patterns

Learn to spot these key patterns for better trading decisions:

High Returns + Small Current Drawdown

Momentum continuation

Strong trend with price near highs

High Returns + Large Current Drawdown

Possible buying opportunity on dip

Strong trend but currently pulled back

Negative Returns + Big Drawdown

Avoid or short candidate

Weak momentum with higher downside risk

High MQS

Quality momentum play

Good returns with controlled risk

How to Use This Tool Effectively

1.

Choose Your Time Frame

Select a period that matches your trading style. Short-term traders might focus on 1-4 week windows, while position traders prefer 13-52 weeks.

2.

Sort by Your Priority

Sort by Returns to find recent strength, or by MQS to find strength with smaller pullbacks.

3.

Combine Filters

Filter for positive Returns, then sort by lowest Current Drawdown to find strong stocks near support.

4.

Compare Periods

Check multiple time frames to confirm trends. A stock strong across 4w, 13w, and 26w shows consistent momentum.

💡 Pro Tips

For Swing Trading: Focus on 2-4 week windows with MQS > 2.0

Finding Dips: Look for positive Returns with Current Drawdown > 5% for pullback opportunities

Risk Management: Prefer stocks where Max Drawdown < 10% in your chosen period

Industry Scanning: Compare MQSs within sectors to find relative leaders

Behind the Scenes

  • We use adjusted prices (adjusted high/low/close) to account for splits and dividends
  • Windows are rolling over calendar days (weeks × 7), using trading days within that span
  • All values are rounded to two decimals for clarity
  • Data gaps (holidays/missing bars) simply reduce observations within a window

Key Takeaways

  • The MQS measures reward per unit of recent downside risk
  • Higher MQSs indicate better risk-adjusted performance
  • Current Drawdown helps identify pullback opportunities in strong trends
  • Combine multiple time frames for comprehensive momentum analysis

⚠️ Disclaimer: This is a screening tool, not investment advice. Always consider trend, volume, fundamentals, and your risk tolerance alongside these metrics.

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The content on quantvec.com is for informational purposes only from publicly available financial databases, and multi-timeframe highs/lows — data that's often buried or hard to find elsewhere.