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RSI(14) Mean Reversion on XLP

Consumer Staples Select Sector SPDR Fund — defensive consumer staples — the classic risk-off equity sector. Backtest 2021-01-04 → 2026-07-17, $10,000 starting capital, computed by the same engine that runs live DeployQuant strategies.

Result: RSI mean reversion on XLP turned $10,000 into $14,290 (42.9% total, 6.7% CAGR) — it trailed buy-and-hold by 0.3% per year, with a maximum drawdown 6.4 points shallower than holding (9.7% vs 16.0%).
6.7%CAGR
7.0%buy & hold CAGR
−9.7%max drawdown
0.76Sharpe ratio
16round trips
81%win rate
RSI mean reversion   buy & hold — $10,000 invested 2021-01-04

Year by year

YearRSI mean reversionbuy & hold
202112.8%18.1%
20225.5%−0.7%
2023−0.5%−0.9%
20243.4%12.0%
20259.2%2.1%
20266.9%10.2%

The rules

Buy when the 14-day RSI drops below 30 (oversold), sell when it recovers above 70 (overbought).

  1. WHEN the market opens · IF not invested AND RSI(14) < 30 · THEN buy with 98% of the sleeve
  2. WHEN the market opens · IF invested AND RSI(14) > 70 · THEN sell the whole position

The textbook mean-reversion setup. The Relative Strength Index measures how stretched recent price action is; readings under 30 have historically marked short-term washouts in uptrending assets. This template buys the washout at the next session open and holds until RSI crosses back above 70 — no profit target, no stop, just the oscillator round trip.

Good for: assets that trend up over time but overshoot on the way — broad index ETFs are the classic home.
Watch out: in a persistent downtrend, RSI can stay oversold for weeks while the position keeps losing; there is no stop-loss in this template.

Run RSI mean reversion on XLP yourself — free →

Build it from blocks (or type it in English), backtest it on 5.5 years of minute data in seconds, tweak any parameter, then paper trade it on live data. No card, no broker needed to start.

Frequently asked questions

Did RSI mean reversion beat buy-and-hold on XLP?

Over 2021-01-04–2026-07-17, RSI mean reversion on XLP returned 6.7% annualized vs 7.0% for buy-and-hold — it trailed buy-and-hold by 0.3% per year, with a maximum drawdown 6.4 points shallower than holding (9.7% vs 16.0%).

How many trades did it make?

16 completed round trips over 5.5 years (32 fills), with 81% of round trips closing profitably.

Why RSI 30/70?

They're the conventional oversold/overbought bands from Welles Wilder's original formulation. They're a starting point, not magic numbers — in DeployQuant you can drag them to 25/65 or anything else and re-backtest in seconds.

Does this strategy use a stop-loss?

No. The exit is purely the RSI recovering above 70. Adding a stop or a take-profit block is a one-block edit in the Lab.

Related

RSI(14) Mean Reversion — all 59 ETFsfull results table All strategies on XLP12 templates compared RSI(2) Dip Snapback on XLPsame ETF, different rulesGolden Cross (SMA 50/200) on XLPsame ETF, different rules

Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-07-17, $10,000 starting capital, no margin, fees and slippage not modeled) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.