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VGT Vanguard Information Technology ETF

ETF

127.98

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Momentum: Strong, Risk / liquidity: Good.

Momentum Strong All 2 indicators are Top.
60-day return (%) 12.16 88th percentile Top
240-day return (%) 32.57 86th percentile Top
Risk / liquidity Good Distance from peak is Top, but 60-day annualized volatility is Average.
60-day annualized volatility (%) 22.79 66th percentile Average
Distance from peak (%) -1.4 82th percentile Top
20-day dollar volume 544,817,522 76th percentile Good

Vanguard Information Technology ETF (VGT) today

2 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.

Vanguard Information Technology ETF (VGT) peers and tracking

Watchlist

This page refreshes daily after the close. Add Vanguard Information Technology ETF to your watchlist to track signal changes on your next visit.

Vanguard Information Technology ETF (VGT) quant signal backtests

Signals active now

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

52-week adjusted-price high

Active

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

30 historical occurrences (since 2017-01-06)
Average forward return after 52-week adjusted-price high。20-day: Win 69%, Sample 29, Median +2.67%, Excess +0.85%, Beat mkt rate 69%；60-day: Win 79.3%, Sample 29, Median +4.28%, Excess +1.4%, Beat mkt rate 65.5%；120-day: Win 75.9%, Sample 29, Median +8.97%, Excess +2.29%, Beat mkt rate 65.5%

120 days after: historical avg +7.16%

20-day +1.69%
60-day +3.94%
120-day +7.16%
20-day
60-day
120-day
Win
69%
79.3%
75.9%
Sample
29
29
29
Median
+2.67%
+4.28%
+8.97%
Excess
+0.85%
+1.4%
+2.29%
Beat mkt rate
69%
65.5%
65.5%

Over 29 occurrences, 120-day forward avg gained 7.16%, beat the market by 2.29 pts; win rate 75.9%.

Top-quintile 6-month momentum

Active · now 91.44%

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

32 historical occurrences (since 2016-09-02)
Average forward return after Top-quintile 6-month momentum。20-day: Win 75%, Sample 32, Median +1.98%, Excess +1.07%, Beat mkt rate 68.8%；60-day: Win 87.5%, Sample 32, Median +7.39%, Excess +1.47%, Beat mkt rate 78.1%；120-day: Win 87.1%, Sample 31, Median +12.25%, Excess +3.67%, Beat mkt rate 64.5%

120 days after: historical avg +10.54%

20-day +2.4%
60-day +5.82%
120-day +10.54%
20-day
60-day
120-day
Win
75%
87.5%
87.1%
Sample
32
32
31
Median
+1.98%
+7.39%
+12.25%
Excess
+1.07%
+1.47%
+3.67%
Beat mkt rate
68.8%
78.1%
64.5%

Over 31 occurrences, 120-day forward avg gained 10.54%, beat the market by 3.67 pts; win rate 87.1%.

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

Holding-period returns in its own history

Since 2016-01-04, 88.4% of 2,456 one-year holding periods ended with a gain; the median one-year return was +28.4%. Over three-year holding periods, 100.0% of 1,952 ended with a gain (median +85.9%).

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.

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.

8 times historically; 60-day forward avg +13.48%, win rate 62.5%, beating the market by +6.19 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.

13 times historically; 60-day forward avg +9.16%, win rate 76.9%, beating the market by +5.55 pts on average.

Continue researching Vanguard Information Technology 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 2026-06-24; 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.