Key Takeaways
- • MarketVector licensed its flagship US Listed Semiconductor 25 Continuous Index (MVCSMH) to Paragon, a perpetual futures platform on Hyperliquid, marking MarketVector's first client on the Hyperliquid blockchain.
- • Paragon developed a custom 24/5 version of the semiconductor benchmark using Pyth Network's real-time pricing infrastructure, extending calculation into overnight and pre- and post-market sessions—the first extended-hours iteration of MarketVector's flagship semiconductor index.
- • Over $75 billion in assets currently track MarketVector's US-listed semiconductor benchmark across linked funds and ETF products trading globally, establishing significant institutional adoption of the index methodology.
- • Perpetual futures contracts reference the index directly rather than ETF proxies, eliminating fund-level expenses, tracking differences, and ETF premiums/discounts that can create structural inefficiencies for traders.
Summary
MarketVector Indexes announced a licensing partnership with Paragon, a perpetual futures platform built on the Hyperliquid blockchain, to bring its flagship semiconductor benchmark onchain. The agreement grants Paragon rights to underlie perpetual futures contracts on the MarketVector US Listed Semiconductor 25 Continuous Index (MVCSMH), marking the first time MarketVector's core semiconductor benchmark has been extended to operate on continuous trading infrastructure.
The partnership addresses a structural inefficiency in crypto derivatives markets. Rather than using ETF proxies as underlying references—which embed fund expenses, tracking errors, and market-driven premiums or discounts—Paragon's perpetual futures reference the index methodology directly. This design reduces embedded costs and aligns futures pricing more closely to the underlying benchmark. The custom 24/5 version developed for Paragon represents the first extended-hours calculation of MarketVector's flagship semiconductor index, leveraging Pyth Network's real-time pricing infrastructure to enable calculation during overnight, pre-market, and post-market sessions.
MarketVector's semiconductor benchmark already commands substantial institutional adoption, with over $75 billion in assets tracking the index through linked fund and ETF products trading across global markets and time zones. This partnership extends that ecosystem into decentralized perpetual futures markets without diluting the index's methodology. According to MarketVector's Head of Research & Investment Strategy Josh Kaplan, the direct index reference "ties the contract to the benchmark's methodology, without incorporating fund-level expenses, tracking differences or premiums and discounts associated with an ETF." The move signals growing institutional interest in bringing traditional equity index methodologies to onchain derivatives infrastructure while preserving the analytical rigor and transparency of established benchmarks.
The partnership addresses a structural inefficiency in crypto derivatives markets. Rather than using ETF proxies as underlying references—which embed fund expenses, tracking errors, and market-driven premiums or discounts—Paragon's perpetual futures reference the index methodology directly. This design reduces embedded costs and aligns futures pricing more closely to the underlying benchmark. The custom 24/5 version developed for Paragon represents the first extended-hours calculation of MarketVector's flagship semiconductor index, leveraging Pyth Network's real-time pricing infrastructure to enable calculation during overnight, pre-market, and post-market sessions.
MarketVector's semiconductor benchmark already commands substantial institutional adoption, with over $75 billion in assets tracking the index through linked fund and ETF products trading across global markets and time zones. This partnership extends that ecosystem into decentralized perpetual futures markets without diluting the index's methodology. According to MarketVector's Head of Research & Investment Strategy Josh Kaplan, the direct index reference "ties the contract to the benchmark's methodology, without incorporating fund-level expenses, tracking differences or premiums and discounts associated with an ETF." The move signals growing institutional interest in bringing traditional equity index methodologies to onchain derivatives infrastructure while preserving the analytical rigor and transparency of established benchmarks.
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