Momentum Basket Strategy

With $0 commissions and fractional shares at most US brokers, the capital floor is low: a 20-stock equal-weight basket works with as little as $10,000-20,000, and fractional shares let you hit exact 5% weights. (This is a big practical advantage over markets with round-lot and per-trade-cost frictions.) If you want momentum exposure with minimal effort, a momentum ETF like MTUM (iShares MSCI USA Momentum) or SPMO (Invesco S&P 500 Momentum) is a simple alternative.

Research shows a short-term reversal effect - stocks that jumped in the last month often pull back slightly. By skipping the most recent month, we capture the medium-term trend (months 2-12) while avoiding the short-term reversal. This improves signal quality.

Momentum crashes occur when previous winners suddenly become losers (and vice versa). This typically happens during market regime changes, crises, or sector rotations. The basket can drop 20-30% quickly. Risk management (stops, volatility scaling) helps limit damage during crashes.

Yes. MTUM (iShares MSCI USA Momentum Factor) and SPMO (Invesco S&P 500 Momentum) give momentum-factor exposure with low effort, though they reconstitute only periodically (semi-annually for MSCI momentum). A custom basket gives you control over sector caps, position sizing, and rebalancing rules. The ETF is simpler; a custom basket allows optimization and tax management.

Monthly rebalancing is standard - it captures momentum rotation without excessive turnover. More frequent (weekly) increases trading and short-term tax churn too much. Less frequent (quarterly) may miss momentum shifts. Monthly balances signal capture with cost and tax efficiency. (Note: momentum ETFs like MTUM rebalance only a couple of times a year.)

Screen for momentum first (top 50 by 12-1 return), then filter for quality (ROE > 15%), value (PE < 40x), or low volatility. The remaining stocks have momentum plus other favorable characteristics. This multi-factor approach improves risk-adjusted returns and reduces crash risk.

Price momentum uses stock returns (12-month price change). Earnings momentum uses fundamental data (EPS revisions, earnings surprises). Both predict future returns but capture different information. Combining them provides more robust signals than either alone.

Use buffer zones (exit at rank 30 not 20), threshold rebalancing (trade only if drift >3%), and longer lookbacks. In the US these mainly improve TAX efficiency (fewer short-term gains) since commissions are already ~$0; letting winners cross the 1-year mark shifts gains to long-term rates. Watch the wash-sale rule when harvesting losses on names that re-enter the basket.

Equal weight is simpler and more diversified - each stock contributes equally to performance. Momentum weight allocates more to the highest-momentum stocks, potentially higher returns but more concentrated. Start with equal weight; graduate to momentum weight if you're comfortable with the concentration risk.

Primary benchmark is the universe index (the S&P 500). Secondary is the S&P 500 Momentum Index (SPMO) or MSCI USA Momentum (MTUM) for a direct momentum comparison. Calculate alpha (excess return), tracking error, and information ratio. You should beat the universe index; compare to the momentum index for implementation quality.

Combine signals: 12-1 return (30%), 6-1 return (20%), 52W high (15%), earnings revision (15%), revenue acceleration (10%), technical indicators (10%). Convert each to z-scores, apply weights, sum for a composite. Walk-forward test to validate the weights out-of-sample.

Gradient boosting (XGBoost, LightGBM) handles mixed features well. Use time-series cross-validation (not a random split). Features: returns, volatility, fundamentals, technicals, sector. Target: top quartile next month or predicted return. Ensemble with traditional signals for robustness.

Monitor warning indicators: narrowing momentum dispersion, extreme value spread, weakening breadth, rising VIX. Implement regime-based allocation (reduce exposure when warnings elevate). Buy OTM SPY/SPX puts for a tail hedge (1-2% cost). Have clear exit rules for crash scenarios.

Core-Satellite: 50-60% in a diversified index (core), 20-30% in momentum (satellite), the rest in other factors/cash. The Kelly criterion suggests a 20-25% optimal allocation. Rebalance between core and satellite to maintain the allocation. Monitor correlation - if it's too high, reduce the momentum allocation.

Futures: in the US, use index futures (/ES, /MES) for capital-efficient broad-market leverage (remaining cash earns the T-bill yield), since single-stock futures aren't available to retail; for single names use Reg T/portfolio margin or LEAPS calls. Covered calls on mature names for income. Protective 8-10% OTM SPY/SPX puts for crash protection (1-2% annual cost); SPX options get Section 1256 60/40 tax treatment. Balance leverage with crash risk.