Momentum Basket Strategy

For a 20-stock equal-weight basket, you need enough to buy meaningful positions in each. With 5,000 pounds per stock, you would need 100,000 pounds minimum. For a CFD/spread-bet implementation with leverage, 25,000 pounds could work. Smaller capital can use a momentum factor ETF (for example the iShares Edge MSCI World Momentum Factor) as a simpler 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 the damage during crashes.

Yes - a momentum factor ETF such as the iShares Edge MSCI World Momentum Factor (IWMO/IWFM) provides momentum exposure with lower effort, although it is global rather than UK-only and there is no flagship UK-only momentum ETF. A custom FTSE 350 basket allows more control over sector caps, position sizing and rebalancing rules. Index/ETF is simpler; a custom basket allows optimisation.

Monthly rebalancing is standard - it captures momentum rotation without excessive turnover. More frequent (weekly) increases costs too much. Less frequent (quarterly) may miss momentum shifts. Monthly balances signal capture with cost efficiency - though in the UK, stamp duty on purchases makes lower-turnover rules or a spread-bet/CFD implementation worth considering.

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 favourable 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 (only trade if drift >3%), a longer lookback, and consider bi-monthly rather than monthly rebalancing. In the UK, also consider implementing via spread bets or CFDs to avoid the 0.5% stamp duty on purchases, or holding AIM-listed names (stamp-duty-exempt). These can reduce turnover-driven costs by 30-50%.

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 comfortable with concentration risk.

The primary benchmark is the universe index (FTSE 350). The secondary is the MSCI UK Momentum index or a momentum factor ETF (direct momentum comparison). Calculate alpha (excess return), tracking error and information ratio. You should beat the universe index; compare to the momentum index/ETF 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. Treat it as a cross-check that supports discretionary selection, ensembled with traditional momentum for robustness - not as an automated trader.

Monitor warning indicators: narrowing momentum dispersion, extreme value spread, weakening breadth, rising VIX/VFTSE. Implement regime-based allocation (reduce exposure when warnings elevate). Buy OTM FTSE 100 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 20-25% as optimal. Rebalance between core and satellite to maintain the allocation. Monitor correlation - if too high, reduce the momentum allocation.

CFDs/spread bets: leverage frees capital, but daily financing typically offsets the freed-capital return, so there is no 'free carry' in the UK - the benefits are capital efficiency, ease of shorting and stamp-duty avoidance. Covered calls: on mature momentum large-caps for income. Protective puts: 8-10% OTM FTSE 100 puts for crash protection (1-2% annual cost). Balance leverage with crash risk and financing cost.