AI QuantAll research examples

Backtested research example

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

SECTOR_MOMENTUM
sector-rotationmomentumetfrelative-strengthmonthly-rebalanceus

🗓 Backtest period: 2018-01-01..2023-01-01

StartTotal 64.3%End
Max DD -24.6%

Backtest metrics

Sharpe
0.72
Total Return
55.7%
Max Drawdown
-26.0%
CAGR
9.3%
Volatility
15.5%
Trades
24

Strategy Card

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

Spec ID: spec-sector-momentum-rotation-etf-top50-1767027941 · Generated: 2026-06-25 09:23 UTC

Cluster: Momentum · Sub Cluster: Sector Etf Relative Strength Rotation

One-line description

Monthly rotation strategy that ranks liquid U.S. sector ETFs by 3-, 6-, and 12-month relative strength versus SPY. It holds the top 3 names equal-weighted, subject to position caps and liquidity/history requirements.

Why this trade exists

Sector leadership tends to persist over intermediate horizons due to slow-moving macro themes, institutional allocation flows, earnings revisions, and risk-premium repricing. Comparing each sector ETF to SPY focuses the signal on cross-sectional leadership rather than broad equity beta, while combining 3/6/12-month windows reduces dependence on any single momentum horizon.

The trade is structural rather than purely statistical: asset allocators often rotate exposure across sectors gradually, and ETF vehicles make those flows observable and tradable. Monthly rebalancing is intended to capture persistent leadership while limiting turnover and implementation costs.

Algorithm

[code omitted from public view]

Parameters

Param Value Notes
Rule type SECTOR_MOMENTUM Sector ETF rotation based on relative strength
Lookbacks 63, 126, 252 trading days Approx. 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 by horizon
Selection count 3 Hold top-ranked ETFs
Position sizing Equal weight Gross leverage 1.0
Max weight per position 40% Risk cap; relevant when fewer holdings or rounding constraints occur
Rebalance frequency Monthly First trading day of month
Execution Next open, 1-day signal lag Reduces same-close look-ahead risk
Universe Top 50 U.S. ETFs by capitalization, sector ETF filtered Provider metadata/name matching for sector funds
Liquidity filter 63-day ADV >= 250,000 shares Share-volume filter
History requirement 252 trading days Drop if missing any lookback
Benchmark SPY Used for relative-strength denominator
Backtest window 2018-01-01 to 2023-01-01 Daily bars
Costs 10 bps transaction cost + proportional-to-spread slippage proxy Spread proxy uses 20 days

Look-ahead audit

# Concern Status
1 Signal uses future prices from rebalance date Mitigated: signal lag of 1 trading day and execution at next open
2 ETF universe survivorship bias Needs review: universe is top 50 ETFs and sector-filtered; confirm point-in-time membership/metadata availability
3 Benchmark return alignment Mitigated if SPY and ETF lookback windows use identical timestamps and adjusted total-return prices
4 Missing data creates implicit selection bias Partly mitigated: require 252 days of history and drop missing lookbacks, but this can favor established funds
5 Transaction cost realism Partly mitigated: includes 10 bps cost and spread-linked slippage proxy; ETF open liquidity should still be validated

Caveats / known limitations

Results

Over 2018-01-01 to 2023-01-01, the strategy produced a positive total return of 55.69% with a Sharpe of 0.72 and volatility of 15.51%. The max drawdown was -26.00%, indicating that the rotation improved return over the test but still carried substantial equity-market downside. Trade count was modest at 24, consistent with monthly rebalancing and relatively persistent sector leadership; however, the short sample and concentrated top-3 construction make robustness checks important.

Backtest metrics snapshot

Metric Value
Total Return 55.69%
Sharpe 0.72
Sortino 0.86
Calmar 0.36
Max Drawdown -26.00%
Volatility 15.51%
Win Rate 76.92%
Profit Factor 12.71
Total Trades 24
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.