GRVT's Strategic Partnerships Transform Crypto Trading Landscape
Partnerships Driving Liquidity in the Cryptocurrency Market
GRVT, a hybrid cryptocurrency exchange and the first official Validium ZK Chain on ZKsync, has announced strategic partnerships with 16 leading industry market makers. These collaborations have contributed to achieving a remarkable $3.3 billion in monthly trading volume. Major players like Galaxy Trading Asia Limited, DV Chain, and CMS have significantly bolstered GRVT's position, establishing it as a cornerstone of liquidity amidst crypto market volatility.
GRVT's Upcoming Mainnet Launch and Features
Looking ahead, GRVT has captured significant attention with its mainnet set to launch in Q4 2024. The exchange's innovative hybrid model blends traditional finance efficiency with blockchain security, resulting in substantial anticipatory interest among traders. The Open Beta Testnet is currently live, with over 2.5 million users eagerly registered on the waitlist. This surge in demand for deep liquidity and stable trading conditions underscores GRVT's commitment to supporting both retail and institutional traders, promising minimal slippage, tighter bid-ask spreads, and reduced trading costs.
Feedback from Industry Leaders
- Hong Yea, Co-Founder and CEO of GRVT, expressed gutts to the trust placed by partners and emphasized the platform's vision for easy trading.
- Darius Sit, Founder and CIO of QCP, highlighted GRVT's innovative approach to privacy and trading efficiency.
- Christophe de la Celle, Chief Commercial Officer at Selini Capital, praised GRVT for balancing needs of both professional and retail traders.
- Daniel Ku, CEO of Ampersan, noted the importance of decentralized platforms in diversifying risks.
- Martin Cheung, Head of Options Trading at Pulsar, remarked that partnerships with GRVT elevate trading capabilities and security.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.