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SOXQ Invesco PHLX Semiconductor ETF

ETF

98.93

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Momentum: Strong; Risk / liquidity: Weak.

Momentum Strong 240-day return is Top; 60-day return is Good.
60-day return (%) 6.01 77th percentile Good
240-day return (%) 80.48 95th percentile Top
Risk / liquidity Weak Distance from peak is Average; 20-day dollar volume is Lagging.
60-day annualized volatility (%) 42.67 82th percentile Lagging
Distance from peak (%) -13.98 39th percentile Average
20-day dollar volume 112,738,933 15th percentile Lagging

Invesco PHLX Semiconductor ETF (SOXQ) 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.

Invesco PHLX Semiconductor ETF (SOXQ) peers and tracking

Watchlist

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Invesco PHLX Semiconductor ETF (SOXQ) quant signal backtests

Signals active now

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

Top-quintile 6-month momentum

Active · now 93.77%

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

9 historical occurrences (since 2021-12-09)
Average forward return after Top-quintile 6-month momentum。20-day: Win 55.6%, Sample 9, Median +0.46%, Excess -1%, Beat mkt rate 33.3%；60-day: Win 55.6%, Sample 9, Median +2.29%, Excess +1.18%, Beat mkt rate 44.4%；120-day: Win 66.7%, Sample 9, Median +21.14%, Excess +5.84%, Beat mkt rate 55.6%

120 days after: historical avg +9.84%

20-day -0.43%
60-day +3.9%
120-day +9.84%
20-day
60-day
120-day
Win
55.6%
55.6%
66.7%
Sample
9
9
9
Median
+0.46%
+2.29%
+21.14%
Excess
-1%
+1.18%
+5.84%
Beat mkt rate
33.3%
44.4%
55.6%

Over 9 occurrences, 120-day forward avg gained 9.84%, beat the market by 5.84 pts; win rate 66.7%.

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

Holding-period returns in its own history

Since 2021-06-11, 71.8% of 1,087 one-year holding periods ended with a gain; the median one-year return was +33.4%. Over three-year holding periods, 100.0% of 583 ended with a gain (median +111.0%).

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.

14 times historically; 60-day forward avg +11.19%, win rate 78.6%, beating the market by +7.58 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.

10 times historically; 60-day forward avg +8.85%, win rate 75%, beating the market by +4.37 pts on average.

Back above the 200-day average

Pending

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

10 times historically; 60-day forward avg +7.28%, win rate 80%, beating the market by +2.69 pts on average.

Continue researching Invesco PHLX Semiconductor 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.
  • us_fund_price:adj_close records this ETF’s distributions regularly only from 2026-06-22; returns before that date mostly reflect price changes and splits, so they understate its total return.

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.