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VHT Vanguard Health Care ETF

ETF

348.11 USD Close 11/9
Since 2024-12-10 +34.8%

Close 11/9

FinLab Studio

From Vanguard Health Care ETF to every stock like it

AI finds several complementary traits of Vanguard Health Care ETF across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

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Price and fund-flow snapshot

As of 2026-11-09

Momentum: Strong.

Momentum Strong All 2 indicators are Top.
60-day return (%) 11.0 93th percentile · Top
240-day return (%) 22.0 84th percentile · Top
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Neutral Distance from peak is Top, but 20-day dollar volume is Lagging.
60-day annualized volatility (%) 19.0 55th percentile · Average
Distance from peak (%) -0.9 89th percentile · Top
20-day dollar volume 105,918,102.0 5th percentile · Lagging
Factor Investing Explained: 10 Classic Factors in US Stocks

Vanguard Health Care ETF (VHT) today

2 quant signals active · As of 2026-11-09

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 Health Care ETF (VHT) peers and tracking

Watchlist

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

Vanguard Health Care ETF (VHT) 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.

26 historical occurrences (since 2017-02-24)

Average forward return after 52-week adjusted-price high

20-day: Win 64.0%, Sample 25, Median +1.7%, Excess +0.7%, Beat mkt rate 52.0%

60-day: Win 72.0%, Sample 25, Median +3.3%, Excess +0.1%, Beat mkt rate 56.0%

120-day: Win 82.6%, Sample 23, Median +5.7%, Excess -1.4%, Beat mkt rate 30.4%

120 days after: historical avg +4.1%

20-day +0.3%
60-day +2.3%
120-day +4.1%
20-day
60-day
120-day
Win
64.0%
72.0%
82.6%
Sample
25
25
23
Median
+1.7%
+3.3%
+5.7%
Excess
+0.7%
+0.1%
-1.4%
Beat mkt rate
52.0%
56.0%
30.4%

Over 23 occurrences, 120-day forward avg gained 4.1%, lagged the market by 1.4 pts; win rate 82.6%.

Top-quintile 6-month momentum

Active · now 99.0%

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

Momentum Trading Strategy: A 12-1 Momentum Backtest
25 historical occurrences (since 2016-09-15)

Average forward return after Top-quintile 6-month momentum

20-day: Win 64.0%, Sample 25, Median +1.9%, Excess +0.2%, Beat mkt rate 52.0%

60-day: Win 63.6%, Sample 22, Median +2.0%, Excess -1.1%, Beat mkt rate 45.5%

120-day: Win 77.3%, Sample 22, Median +4.2%, Excess -1.4%, Beat mkt rate 40.9%

120 days after: historical avg +4.0%

20-day +0.6%
60-day +2.4%
120-day +4.0%
20-day
60-day
120-day
Win
64.0%
63.6%
77.3%
Sample
25
22
22
Median
+1.9%
+2.0%
+4.2%
Excess
+0.2%
-1.1%
-1.4%
Beat mkt rate
52.0%
45.5%
40.9%

Over 22 occurrences, 120-day forward avg gained 4.0%, lagged the market by 1.4 pts; win rate 77.3%.

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

Holding-period returns in its own history

Since 2016-01-04, 82.2% of 2,477 one-year holding periods ended with a gain; the median one-year return was +11.6%. Over three-year holding periods, 99.3% of 1,973 ended with a gain (median +35.1%).

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.

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.

28 times historically; 60-day forward avg +4.1%, win rate 75.0%, beating the market by +1.4 pts on average.

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.