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Backtested research example

Sector Relative Strength Rotation (3/6/12m vs SPY)

SECTOR_MOMENTUM
sector-rotationmomentumetfrelative-strengthmonthly-rebalanceus

🗓 Backtest period: 2020-01-01..2026-07-15

StartTotal 336.9%End
Max DD -22.7%

Backtest metrics

Sharpe
1.21
Total Return
161.2%
Max Drawdown
-23.8%
CAGR
15.9%
Volatility
20.5%
Trades
56

Strategy Card

Sector Relative Strength Rotation (3/6/12m vs SPY) — strategy card

Spec ID: spec-sector-momentum-rotation-etf-top50-1767027941_v13 · Generated: 2026-07-10 06:40 UTC

Cluster: Momentum · Sub Cluster: Sector Etf Relative Strength

One-line description

Monthly rotation strategy that ranks liquid U.S. sector ETFs by 3/6/12-month relative strength versus SPY. It holds the top 3 names equal-weighted and rebalances on the first trading day using next-open execution.

Why this trade exists

Sector leadership tends to persist over intermediate horizons due to institutional flows, slow-moving macro repricing, earnings-cycle dispersion, and benchmark-relative allocation decisions. Ranking sectors versus SPY attempts to isolate cross-sectional leadership from broad market beta, while using multiple lookbacks reduces dependence on a single formation window.

The ETF implementation is liquid and capacity-friendly, but the edge is still exposed to crowding, factor regime shifts, and abrupt sector reversals.

Algorithm

[code omitted from public view]

Parameters

Param Value Notes
Rule type SECTOR_MOMENTUM Cross-sectional sector ETF momentum versus SPY
Lookbacks 63, 126, 252 trading days Approximately 3/6/12 months
Relative strength ETF total return / SPY total return Computed separately per lookback
Composite score Mean z-score across lookbacks Cross-sectional normalization before averaging
Selection count 3 Holds top-ranked sector ETFs
Position sizing Equal weight Subject to max position cap
Gross leverage 1.0 Long-only, fully invested target
Max weight per position 40% Risk override cap
Min positions 3 Desired minimum holdings
Rebalance frequency Monthly First trading day of month
Execution Next open 1 trading day signal lag
Liquidity filter 63-day ADV >= 250,000 shares Share-volume filter
Price-history requirement 252 trading days Drop if missing any lookback
Universe Top 50 U.S. ETFs by capitalization, filtered to sector ETFs Sector identification via provider metadata/name matching
Benchmark SPY Used for relative-strength denominator
Volatility targeting False No vol scaling
Stop loss None No explicit stop
Transaction cost 10 bps Plus proportional-to-spread slippage proxy using 20-day spread window
Backtest interval 2020-01-01 to 2026-07-15 As specified in backtest plan
Available data period 2018-01-01 to 2023-01-01 Context-provided data range

Look-ahead audit

# Concern Status
1 Signal timing Uses a 1-trading-day signal lag and next-open execution, reducing same-close look-ahead risk.
2 Return lookbacks Signals are based on trailing 63/126/252-day total returns only; candidates with missing lookback data are dropped.
3 Universe construction Sector ETF filter should be checked for point-in-time metadata availability; name/category metadata may be survivorship-biased if sourced current-state.
4 Liquidity filter Uses trailing 63-day volume; implementation should ensure the volume window ends before the signal date.
5 Benchmark data SPY relative-strength denominator must use the same lagged timestamp convention as ETF prices.
6 Corporate actions/distributions Total-return calculations should use adjusted prices or distribution-inclusive series to avoid dividend-related bias.

Caveats / known limitations

Results

The reported backtest is strong on headline performance, with total return of 161.24%, Sharpe of 1.21, Sortino of 1.50, and win rate of 85.71% across 56 trades. Risk is non-trivial: volatility is 20.50% and max drawdown reaches -23.83%, consistent with a concentrated long-only sector rotation profile. The unusually high profit factor of 27.17 is encouraging but should be treated cautiously until universe construction, sample dates, and point-in-time sector ETF membership are independently audited.

Backtest metrics snapshot

Metric Value
Total Return 161.24%
Sharpe 1.21
Sortino 1.50
Calmar 0.67
Max Drawdown -23.83%
Volatility 20.50%
Win Rate 85.71%
Profit Factor 27.17
Total Trades 56
Symbols 50 (AGG, BIL, BIV, BND, BNDX, BSV, DIA, EFA, GLD, IEFA, +40 more)

Backtests are historical simulations for research purposes only. They are not investment advice and do not guarantee future performance.