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ARK 21Shares Active On-Chain Bitcoin Strategy ETF

As of Jul 19, 2024
Net Asset Value:
As of Jul 19, 2024
Net Asset Value:
ARK 21Shares Active On-Chain Bitcoin Strategy ETF (ARKC) is an actively managed exchange-traded fund (ETF) that invests in bitcoin futures contracts and cash equivalents, and optimizes performance relative to the price of bitcoin by relying on traditional quantitative and onchain valuation models.
Net Assets
YTD Return
1D Change
Expense Ratio

Investment Objective

The Fund’s objective is capital appreciation.

Fund Strategy

ARKC aims to optimize performance relative to the price of bitcoin through actively managed allocations to bitcoin futures and cash equivalents. Strategic allocations are informed by both traditional quantitative models and onchain valuation models to determine prevailing trends for bitcoin (bearish or bullish), which inform strategic allocations. The Fund generally holds higher allocations to BTC futures during bullish periods (and vice versa) but may also make tactical adjustments to optimize performance. While the Fund uses models to evaluate market regimes, the investment team retains full discretion in deciding how to allocate the Fund’s investments.


Neither the Fund nor Underlying ETFs invest directly in ether, bitcoin, or other digital assets, or maintain direct exposure to “spot” ether or bitcoin. Investors seeking direct exposure to the price of ether or bitcoin should consider an investment other than the Fund.


Growth Potential

Bitcoin was the first decentralized currency and is the largest digital asset by market cap (at over $500b*). It is well established as a digital store of value with a broad user-base and liquidity. ARKC offers a secure vehicle for this long-term strategic holding.

*Source: Glassnode - Data as of 1st Nov 2023

Active Management

ARKC’s allocations are driven by traditional quantitative and onchain valuation models, which seek to outperform by transforming raw on-chain data into robust, back-tested market signals. In a volatile market, we believe the ability to identify emerging risks and opportunities and adjust the portfolio's exposure accordingly is critical.


Unlike traditional trend based strategies that primarily rely on conventional technical indicators or momentum-based signals, ARKC also draws on onchain data unique to bitcoin, widening the information available to inform the fund’s strategy compared to conventional trend based strategies.

Exposure Without Complexity

Access the largest digital asset by market cap* without mastering arcane details of how to safely trade or store it.

*Source: Yahoo Finance - Data as of 1st Nov 2023

Potential to Preserve

Dynamic allocation allows ARKC to preserve capital in a down market for deployment in better conditions, outperforming passive Bitcoin exposure over a full market cycle.

Key Information

NameARK 21Shares Active On-Chain Bitcoin Strategy ETF
Inception DateNov 15, 2023
AdvisorEmpowered Funds, LLC dba EA Advisors
Sub Advisor21Shares US LLC
Sub-Sub AdvisorARK Investment Management LLC
Securities Outstanding60000
NAV per Unit$40.65
Net Assets$2,439,199.85
TypeActive Digital Asset ETF
Primary ExchangeCboe BZX Exchange, Inc.
Sales ServicesResolute Investment Distributors, Inc.
Fund DistributorQuasar Distributors, LLC

Identifier Information



Expense Ratio
Management Fee0.30%
Acquired Fund Fee & Expenses0.63%
Total Annual Fund Operating Expenses0.93%


As of Jul 19, 2024

Holdings are subject to change without notice

NAV and Market Price

NAV Change$1.83 | 4.69%
Median Bid/Ask Spread (30 Day)0.21%
Market Price$40.66
Market Price Change$1.83 | 4.71%


As of Jul 19, 2024
1 Month
3 Months
Since Inception
Market Price

Past performance does not guarantee future results. The performance data quoted represents past performance and current returns may be lower or higher. The investment return and principal will fluctuate so that an investor’s shares when redeemed may be worth more or less than the original cost. Extraordinary performance is attributable in part due to unusually favorable market conditions and may not be repeated or consistently achieved in the future. The Fund’s most recent month-end performance can be found in the fund documents section. Returns for less than one year are not annualized. Net asset value (“NAV”) returns are based on the dollar value of a single share of the ETF, calculated using the value of the underlying assets of the ETF minus its liabilities, divided by the number of shares outstanding. The NAV of Shares is calculated each business day as of the close of regular trading on the Cboe BZX Exchange, Inc. (“Cboe), generally 4:00 pm Eastern time on each business day the Cboe BZX Exchange, Inc is open for trading. Market returns are based on the trade price at which shares are bought and sold on the Cboe BZX Exvhange, Inc. using the last share trade. Market performance does not represent the returns you would receive if you traded shares at other times. Total Return reflects the reinvestment of distributions on ex-date for NAV returns and payment date for Market Price returns. The market price of the ETF’s shares may differ significantly from their NAV during periods of market volatility.

4PM Mid-Point

Historical Data

Greatest Premium0.02% (07/19/2024)
Greatest Discount-
Number of Days At
Days within percentage of NAV
Percent Of Days ± 0.5% Of NAV:-
Number Of Days ± 0.5% Of NAV:-
The Premium/Discount chart shows the difference between the daily market price of the Fund’s shares and the Fund’s net asset value (“NAV”). The daily market price is calculated using the mid-point between the highest bid and the lowest offer on the listing exchange, as of the time that the Fund’s NAV is calculated (usually 4:00 pm Eastern time). The vertical axis of the chart shows the premium or discount of the Mid-Point price as a percentage of the NAV. The horizontal axis shows the number of trading days covered by the chart, and each bar in the chart demonstrates how many days the Fund traded within the given premium/discount range. The data presented in the chart and table above represent past performance and cannot be used to predict future results.
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