| ARCA Exchange | US Country |
Listed Funds Trust - 21Shares FTSE Crypto 10 Ex-BTC Index ETF is an innovative exchange-traded fund launched by Listed Funds Trust. Managed by 21Shares US LLC, the fund is designed to invest in various crypto assets, utilizing different investment strategies. These strategies include direct investments, allocations through other funds, and the use of derivatives. The ETF primarily seeks to track and mirror the performance of the FTSE Crypto 10 ex Bitcoin Select Index, employing a representative sampling technique to ensure effective management of investment risks and opportunities. Established on November 13, 2025, this financial product is domiciled in the United States, making it accessible to a wide range of investors interested in cryptocurrency assets.
The fund directly invests in a variety of cryptocurrencies, expanding its exposure beyond traditional investments. By diversifying its asset base, it aims to provide investors with robust growth potential linked to the crypto market movements.
The ETF allocates funds to other specialized cryptocurrency investment funds, which allows investors to benefit from the expertise and performance of established crypto fund managers. This indirect approach helps to further diversify risk across various funds.
To enhance its portfolio's performance and manage risk, the fund employs various derivatives, including options, swaps, and futures. These instruments allow for strategic positioning in the market and help to protect against potential downturns, providing a more balanced investment approach.
The ETF specifically aims to track the FTSE Crypto 10 ex Bitcoin Select Index, excluding Bitcoin, which allows for a focus on other leading cryptocurrencies. This index tracking ensures that the fund reflects the performance of a diverse range of crypto assets while minimizing exposure to Bitcoin's volatility.
To effectively manage its investment strategy while tracking the performance of the index, the fund utilizes a representative sampling technique. This method enables the selection of a diverse set of assets that closely aligns with the overall characteristics and performance of the targeted index.