Skip to main content

MGK Vanguard Morningstar Mega Cap Growth ETF

ETF

94.42

Close 10/9

Loading candles…

Price and fund-flow snapshot

As of 2026-10-09

Momentum: Good.

Momentum Good 60-day return is Top; 240-day return is Good.
60-day return (%) 7.17 82th percentile Top
240-day return (%) 14.81 69th percentile Good
Risk / liquidity Neutral Distance from peak is Top, but 20-day dollar volume is Average.
60-day annualized volatility (%) 16.31 57th percentile Average
Distance from peak (%) -0.73 86th percentile Top
20-day dollar volume 128,945,564 23th percentile Average

Vanguard Morningstar Mega Cap Growth ETF (MGK) 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 Morningstar Mega Cap Growth ETF (MGK) peers and tracking

Watchlist

This page refreshes daily after the close. Add Vanguard Morningstar Mega Cap Growth ETF to your watchlist to track signal changes on your next visit.

Vanguard Morningstar Mega Cap Growth ETF (MGK) 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 72.4%, Sample 29, Median +1.6%, Excess +0.34%, Beat mkt rate 58.6%；60-day: Win 82.8%, Sample 29, Median +5.96%, Excess +0.48%, Beat mkt rate 69%；120-day: Win 67.9%, Sample 28, Median +8.64%, Excess +0.7%, Beat mkt rate 60.7%

120 days after: historical avg +4.28%

20-day +1.19%
60-day +3.63%
120-day +4.28%
20-day
60-day
120-day
Win
72.4%
82.8%
67.9%
Sample
29
29
28
Median
+1.6%
+5.96%
+8.64%
Excess
+0.34%
+0.48%
+0.7%
Beat mkt rate
58.6%
69%
60.7%

Over 28 occurrences, 120-day forward avg gained 4.28%, beat the market by 0.7 pts; win rate 67.9%.

Top-quintile 6-month momentum

Active · now 87.55%

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

33 historical occurrences (since 2017-03-10)
Average forward return after Top-quintile 6-month momentum。20-day: Win 84.8%, Sample 33, Median +3.15%, Excess +0.95%, Beat mkt rate 69.7%；60-day: Win 74.2%, Sample 31, Median +5.12%, Excess +1.3%, Beat mkt rate 71%；120-day: Win 87.1%, Sample 31, Median +10.87%, Excess +2.79%, Beat mkt rate 74.2%

120 days after: historical avg +10.49%

20-day +2.64%
60-day +4.33%
120-day +10.49%
20-day
60-day
120-day
Win
84.8%
74.2%
87.1%
Sample
33
31
31
Median
+3.15%
+5.12%
+10.87%
Excess
+0.95%
+1.3%
+2.79%
Beat mkt rate
69.7%
71%
74.2%

Over 31 occurrences, 120-day forward avg gained 10.49%, beat the market by 2.79 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, 87.3% of 2,456 one-year holding periods ended with a gain; the median one-year return was +20.8%. Over three-year holding periods, 100.0% of 1,952 ended with a gain (median +57.0%).

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.

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.

6 times historically; 60-day forward avg +10.98%, win rate 50%, beating the market by +1.44 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.

14 times historically; 60-day forward avg +6.91%, win rate 78.6%, beating the market by +3.26 pts on average.

Continue researching Vanguard Morningstar Mega Cap Growth ETF with the evidence above.

Continue in Studio ↗

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 2026-06-26; 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.