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ARKG ARK Genomic Revolution ETF

ETF

51.40 Close 10/30
Since 2024-12-02 +92.6%

Price and fund-flow snapshot

As of 2026-10-30

Momentum: Strong; Risk / liquidity: Weak.

Momentum Strong All 2 indicators are Top.
60-day return (%) 26.76 97th percentile Top
240-day return (%) 91.15 98th percentile Top
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Weak 20-day dollar volume is Good, but 60-day annualized volatility is Lagging.
60-day annualized volatility (%) 54 89th percentile Lagging
Distance from peak (%) -54.01 18th percentile Lagging
20-day dollar volume 323,720,466 65th percentile Good
Factor Investing Explained: 10 Classic Factors in US Stocks

ARK Genomic Revolution ETF (ARKG) today

2 quant signals active · As of 2026-10-30

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.

FinLab Studio

From ARK Genomic Revolution ETF to every stock like it

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

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ARK Genomic Revolution ETF (ARKG) peers and tracking

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ARK Genomic Revolution ETF (ARKG) quant signal backtests

Signals active now

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

20% below its peak

Active · now -54.01%

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

12 historical occurrences (since 2016-02-03)

Average forward return after 20% below its peak

20-day: Win 83.3%, Sample 12, Median +6.97%, Excess +3.66%, Beat mkt rate 75%

60-day: Win 83.3%, Sample 12, Median +12.44%, Excess +5.85%, Beat mkt rate 75%

120-day: Win 83.3%, Sample 12, Median +15.66%, Excess +8.25%, Beat mkt rate 58.3%

120 days after: historical avg +19.9%

20-day +7.08%
60-day +14.02%
120-day +19.9%
20-day
60-day
120-day
Win
83.3%
83.3%
83.3%
Sample
12
12
12
Median
+6.97%
+12.44%
+15.66%
Excess
+3.66%
+5.85%
+8.25%
Beat mkt rate
75%
75%
58.3%

Over 12 occurrences, 120-day forward avg gained 19.9%, beat the market by 8.25 pts; win rate 83.3%.

Top-quintile 6-month momentum

Active · now 99.66%

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
30 historical occurrences (since 2016-09-15)

Average forward return after Top-quintile 6-month momentum

20-day: Win 56.7%, Sample 30, Median +1.06%, Excess +0.13%, Beat mkt rate 50%

60-day: Win 56.7%, Sample 30, Median +0.56%, Excess +1.01%, Beat mkt rate 53.3%

120-day: Win 60.7%, Sample 28, Median +6.85%, Excess +7.85%, Beat mkt rate 57.1%

120 days after: historical avg +12.96%

20-day 0%
60-day +1.47%
120-day +12.96%
20-day
60-day
120-day
Win
56.7%
56.7%
60.7%
Sample
30
30
28
Median
+1.06%
+0.56%
+6.85%
Excess
+0.13%
+1.01%
+7.85%
Beat mkt rate
50%
53.3%
57.1%

Over 28 occurrences, 120-day forward avg gained 12.96%, beat the market by 7.85 pts; win rate 60.7%.

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

Holding-period returns in its own history

Since 2016-01-04, 62.4% of 2,471 one-year holding periods ended with a gain; the median one-year return was +12.6%. Over three-year holding periods, 57.8% of 1,967 ended with a gain (median +13.8%).

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.

26 times historically; 60-day forward avg +8.86%, win rate 58.3%, beating the market by +8.3 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.

27 times historically; 60-day forward avg +5.68%, win rate 55.6%, beating the market by +1.49 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.