Quantamental Momentum Edge (QME) Strategy

Delivering consistent alpha by combining value, momentum, and trend strength across stocks and ETFs using a rules-based system.

Strategy Framework

Multi-Factor + Trend Confirmation
1. Quant Value Filter
Fundamental Edge
  • Piotroski F-Score ≥ 7
  • Low EV/EBITDA or P/E ratio
  • Positive Free Cash Flow & ROE > 15%
  • Debt/Equity < 0.5

Filters out weak companies to focus on fundamentally strong players.

2. Momentum & Relative Strength
Quantitative Edge
  • 12-month momentum rank in top 20%
  • 6-month price momentum > 15%
  • Analyst earnings revisions positive last 90 days

Identifies leaders with continued institutional interest and trend power.

3. Trend Confirmation
Technical Edge
  • Price > SMA(200)
  • Golden cross: SMA(50) > SMA(200)
  • MACD Histogram > 0 and rising
  • RSI(14) between 50–70

Confirms that momentum stocks are in a sustained, healthy trend.

4. Volume Confirmation
Smart Money Signal
  • OBV trending up with price
  • Chaikin Money Flow > 0.1
  • Optional: Volume spike 1.5x 20-day average on breakout

Avoids false breakouts by confirming institutional buying.

5. Timing Entry
Tactical Edge
  • RSI(2) < 20 on daily timeframe (short-term dip)
  • Pullback to 21-day EMA with holding OBV support

Optimized entry for better risk/reward instead of chasing.

Risk Management & Position Sizing
  • Max 2% risk per position based on ATR or support level
  • Stop loss: Below recent swing low / SMA(50)
  • Trailing stop: 20% profit or SMA(21) cross
  • Portfolio cap: Max 25–30% in a single sector

Strategy Insights

Sample Scoring Model
Factor Score
F-Score ≥ 7 +2
EV/EBITDA < Sector Avg +1
12m Momentum > 80th %ile +2
SMA(50) > SMA(200) +1
MACD Positive & Rising +1
OBV > 30-day average +1
RSI(2) < 20 (entry only) +1
Total Score ≥ 7 Buy Candidate
Use Cases
  • Swing trades (2-6 week holding period)
  • Core portfolio positions (3-12 month holding period)
  • Weekly rebalanced algo portfolios
  • Automated trading systems

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