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XLP State Street Consumer Staples Select Sector SPDR ETF

ETF

83.43

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Risk / liquidity: Good.

Momentum Neutral 240-day return is Good, but 60-day return is Average.
60-day return (%) -2.13 35th percentile Average
240-day return (%) 8.39 51th percentile Good
Risk / liquidity Good 20-day dollar volume is Top, but Distance from peak is Average.
60-day annualized volatility (%) 14.46 49th percentile Good
Distance from peak (%) -5.52 50th percentile Average
20-day dollar volume 888,198,561 85th percentile Top

State Street Consumer Staples Select Sector SPDR ETF (XLP) today

1 quant signals active · As of 2026-10-09

Win rate and excess are historical post-trigger stats vs the market. Click a signal for its full definition and samples; history does not predict future results.

State Street Consumer Staples Select Sector SPDR ETF (XLP) peers and tracking

Watchlist

This page refreshes daily after the close. Add State Street Consumer Staples Select Sector SPDR ETF to your watchlist to track signal changes on your next visit.

State Street Consumer Staples Select Sector SPDR ETF (XLP) quant signal backtests

Signals active now

Each active condition is tested against this ETF’s own history and benchmarked versus the S&P 500.

Back above the 200-day average

Active · now 0.75%

Adjusted close crosses from below to above its 200-day moving average; repeated crosses within 20 days count once.

30 historical occurrences (since 2016-10-24)
Average forward return after Back above the 200-day average。20-day: Win 62.1%, Sample 29, Median +1.45%, Excess +0.54%, Beat mkt rate 55.2%；60-day: Win 62.1%, Sample 29, Median +2.53%, Excess -0.48%, Beat mkt rate 48.3%；120-day: Win 72.4%, Sample 29, Median +3.78%, Excess -2.71%, Beat mkt rate 37.9%

120 days after: historical avg +3.89%

20-day +1.12%
60-day +1.77%
120-day +3.89%
20-day
60-day
120-day
Win
62.1%
62.1%
72.4%
Sample
29
29
29
Median
+1.45%
+2.53%
+3.78%
Excess
+0.54%
-0.48%
-2.71%
Beat mkt rate
55.2%
48.3%
37.9%

Over 29 occurrences, 120-day forward avg gained 3.89%, lagged the market by 2.71 pts; win rate 72.4%.

More history: Holding-period returns in its own history, Signals not active now

Holding-period returns in its own history

Since 2016-01-04, 84.8% of 2,456 one-year holding periods ended with a gain; the median one-year return was +7.2%. Over three-year holding periods, 99.9% of 1,952 ended with a gain (median +24.3%).

A holding period starts on every trading day, so periods overlap; they describe the historical distribution rather than independent outcomes.

Signals not active now

Inactive signals still show this ETF’s historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

27 times historically; 60-day forward avg +0.79%, win rate 59.3%, beating the market by -1.43 pts on average.

20% below its peak

Pending

Adjusted close first falls 20% or more below its highest level so far; repeated hits within 20 days count once.

Top-quintile 6-month momentum

Pending

The ETF ranks in the top 20% of liquid US-listed ETFs by 126-day adjusted return.

13 times historically; 60-day forward avg +0.67%, win rate 38.5%, beating the market by -1.01 pts on average.

Continue researching State Street Consumer Staples Select Sector SPDR ETF with the evidence above.

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Method and limits

  • Returns use us_fund_price:adj_close (finlab data.set_market('us_fund')), adjusted for splits and for distributions where the data includes them.
  • Excess returns use world_index:^GSPC, the S&P 500 price index without dividends, as the benchmark.
  • Percentiles and the 6-month momentum signal compare against the most liquid US-listed ETFs by 20-day dollar volume; mutual funds are excluded.
  • Category labels come from the fund data where it provides one (bond, income, crypto) and from the fund name for leveraged, inverse and commodity ETFs.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.