ARK Genomic Revolution ETF (ARKG) Chart

Cboe BZX: ARKGInteractive price chart with technical indicators and price history.

ARKG price chart

Daily prices adjusted for splits and distributions. 1D and 5D show delayed intraday prices. Markers: D distribution, S split.

Technical snapshot

Key levels & statistics

ARKG historical prices

ARKG distributions & splits

About the ARKG chart

ARK Genomic Revolution ETF (ARKG) closed at $48.16 on October 23, 2026, up 66.2% so far this year. It is trading 30.8% above its 200-day moving average of $36.83. Over the past year ARKG returned +53.5% including distributions, ahead of the S&P 500 (+14.4%).

This page charts the trading history of ARKG since 2014. Daily prices come from EODHD and are adjusted for splits and distributions, so returns over long periods are comparable. For fund facts and the latest quote see the ARKG overview.

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ARKG chart FAQ

What is the all-time high of ARKG?

The highest closing price for ARKG was $112.47 on January 20, 2021. As of the October 23, 2026 close it traded 57.2% below that level.

What is the 52-week range of ARKG?

Over the 52 weeks to October 23, 2026, ARKG traded between an intraday low of $24.60 on March 30, 2026 and an intraday high of $58.83 on October 6, 2026.

Is ARKG above its 200-day moving average?

Yes. On October 23, 2026 ARKG closed at $48.16, 30.8% above its 200-day simple moving average of $36.83. The 50-day average was $49.21.

How has ARKG performed compared with the S&P 500?

Including reinvested distributions, ARKG returned +53.5% over the past year, compared with +14.4% for SPY. Over five years the figures were −35.2% and +79.3%. See the ARKG performance page for annual returns and drawdowns.

How do I read the ARKG chart?

Pick a time range above the chart and choose candlesticks, a line or an area chart. Moving averages, Bollinger Bands, volume, RSI and MACD can be switched on with the indicator buttons, and "Compare" plots ARKG against another fund as a percentage change. Chart prices are adjusted for splits and distributions.