Strategy Card

Breadth-Aware Sector-Neutral Quality Momentum Long/Short Top 500 US Stocks — strategy card

Spec ID: spec-breadth-aware-quality-momentum-long-short-top500-us-stocks-1781966836 · Generated: 2026-06-20 15:51 UTC

Cluster: Quality Momentum · Sub Cluster: Breadth-Aware Sector-Neutral Long-Short

One-line description

Ranks top-500 US stocks within sectors on quality and risk-adjusted momentum, then buys high-quality winners and shorts low-quality laggards. Gross exposure is dynamically scaled by market breadth, trend, and portfolio drawdown controls while targeting near-zero net and sector exposure.

Why this trade exists

The trade combines two documented cross-sectional effects: quality firms tend to compound more reliably than weak balance-sheet or low-profitability firms, and momentum reflects slow information diffusion, investor underreaction, and institutional flow persistence. Ranking within sectors seeks to isolate stock-specific quality/momentum rather than broad sector bets.

The breadth and trend overlays recognize that long/short factor returns are regime-dependent. When participation is broad and the equal-weight market trend is healthy, the strategy allows fuller gross exposure; when breadth deteriorates or portfolio drawdown deepens, it cuts risk to reduce crash and deleveraging exposure.

Algorithm

[code omitted from public view]

Parameters

Param	Value	Notes
Universe	Top 500 US stocks	Capitalization-sorted stock universe; 500 symbols in test.
Backtest window	2018-01-01 to 2023-01-01	Daily bars, close rebalance.
Base exposure	100% long / 100% short	Base gross 2.0, target net 0.0, max absolute net 5%.
Max leverage	4.0x	Hard leverage ceiling.
Sector neutrality	Enabled	Within-sector ranking and long/short dollar neutrality; max sector net exposure 2%.
Quality model	Weighted within-sector z-score	ROA 20%, ROE 25%, debt/assets 15% inverse, gross profit/assets 20%, OCF/assets 20%.
Fundamental lag	45 calendar days	Earnings release lag 2 days; quarterly statements, TTM when available.
Momentum windows	63d / 126d / 252d	Weights 30% / 35% / 35%; skip most recent 21 trading days.
Momentum normalization	Return / realized volatility	Uses 126d annualized realized volatility.
Long thresholds	Quality >= 0.70, momentum >= 0.70, composite >= 0.90	Also requires positive 6-month return and persistence in at least 3 windows above sector median.
Short thresholds	Quality <= 0.30, momentum <= 0.30, composite <= 0.10	Also requires negative or bottom-half 6-month return and persistence in at least 2 windows below sector median.
Breadth overlay	Enabled	Weighted z-score of breadth features over 252d history; gross multiplier ranges 0.25 to 1.00.
Trend overlay	Enabled	Equal-weight top-500 50d/200d SMA and 200d trend checks; deterioration multiplier 0.70.
Drawdown control	Enabled	8% drawdown trigger scales to 0.60; 12% severe trigger scales to 0.35; restore below 4%.
Position sizing	Sector-neutral equal weight with vol adjustment	63d volatility equalization; weight cap 2.0 and floor 0.5.
Position caps	10% max single name; 0.1% min size	Also max position size 10% from sizing config.
Liquidity filter	$10MM 20d dollar volume minimum	Trades skipped if missing execution price.
Turnover cap	50% daily turnover	Applied to rebalance activity.
Stop loss	20%	No take-profit rule specified.
Costs	Not specified	Context has costs=null; interpret results cautiously if commissions, borrow, financing, and slippage are absent.

Look-ahead audit

#	Concern	Status
1	Fundamental statement availability	Uses 45-day fundamental data lag and 2-day earnings-release lag.
2	Price signal timing	Price signals are configured to use prior completed daily bars; rebalance occurs at close.
3	Momentum skip period	Excludes most recent 21 trading days to reduce short-term reversal and same-bar leakage.
4	Execution price integrity	Synthetic execution prices are disallowed; trades are skipped when execution price is missing.
5	Universe construction bias	Top-500 capitalization universe should be checked for point-in-time membership and survivorship handling.
6	Sector metadata timing	Sector labels come from instruments metadata; point-in-time sector classification should be verified.

Caveats / known limitations

• Backtest costs are not specified; borrow fees, financing on gross leverage, commissions, spread, and market impact could materially reduce returns.
• The strategy trades frequently, with 64,854 total trades, so implementation frictions are likely important.
• Sector neutrality reduces broad industry bets but may also force weak trades in sectors with limited qualified candidates.
• Fundamental data quality and point-in-time availability are critical; restatements or stale sector metadata can bias ranks.
• Breadth, trend, and drawdown overlays may protect in some regimes but can reduce exposure during rebounds.
• Short-side performance is exposed to borrow availability, recalls, hard-to-borrow costs, and squeeze risk.
• The 2018-2023 window includes several unusual regimes and may not be representative of longer-run factor behavior.

Results

Over 2018-01-01 to 2023-01-01, the backtest produced a positive total return of 28.44% with Sharpe 0.71 and volatility 7.97%. Risk control was imperfect: max drawdown reached -21.28% and Calmar was 0.24, indicating that the breadth and drawdown overlays did not eliminate large losses. Win rate was 53.92% and profit factor was 1.14, suggesting a modest edge that should be re-evaluated after realistic trading costs and borrow assumptions.

Backtest metrics snapshot

Metric	Value
Total Return	28.44%
Sharpe	0.71
Sortino	0.82
Calmar	0.24
Max Drawdown	-21.28%
Volatility	7.97%
Win Rate	53.92%
Profit Factor	1.14
Total Trades	64854
Symbols	500 (A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ACON, ADBE, ADI, +490 more)