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Zircuit has unveiled an AI-powered trading engine dubbed “Hyperliquid for AI Trading,” designed to enable rapid cross-chain execution across EVM and
networks. The platform integrates real-time signal detection, automated trading, and institutional-grade security, positioning itself as a comprehensive toolkit for on-chain finance. The engine leverages proprietary AI algorithms to analyze on-chain and off-chain data, identifying trading opportunities for immediate execution. Users can deploy strategies with single-click commands, minimizing manual intervention and optimizing efficiency in volatile markets [1].The launch coincides with a notable surge in ZRC, Zircuit’s native token, which experienced a 50% price increase within a week. Some reports indicate an 82% surge in specific data points, attributed to growing investor confidence in the platform’s AI capabilities and its expanding role in decentralized finance (DeFi) [2]. Analysts suggest the token’s performance reflects speculative interest in the product’s potential to capture a larger share of the cross-chain trading market, particularly as the platform’s deposit vaults secure over $950 million in assets [3].
Hyperliquid’s cross-chain functionality addresses a key challenge in DeFi by enabling seamless transactions between Solana and EVM chains without requiring users to manually bridge assets or compare trading venues. The engine employs the same “Sequencer Level Security (SLS)” protocol previously used to protect Zircuit’s vaults, offering resistance to common attack vectors and institutional-grade safeguards [4]. The product is slated for a closed beta in late July 2025, followed by a public launch in August. Incentives for ecosystem development, including 10 million ZRC tokens allocated to creators building AI-based trading strategies, will commence in the fourth quarter [5].
Zircuit’s strategic pivot into active trading aligns with broader industry trends emphasizing automation and interoperability. The platform’s focus on speed and security aims to reduce friction in DeFi transactions while democratizing access to advanced trading tools for non-technical users [6]. By integrating AI-driven execution, Zircuit seeks to attract both retail and institutional participants, though market volatility remains a potential risk. The company’s ability to maintain user trust during downturns will be critical to its long-term success [7].
The platform’s expansion underscores the growing synergy between blockchain and machine learning technologies. As Zircuit prepares for its public launch, stakeholders are monitoring how Hyperliquid’s performance might reshape the competitive landscape of cross-chain trading solutions [8].
Source:
[1] [Zircuit Launches AI Trading Engine for Lightning-Fast, Cross-Chain Trading](https://www.theblock.co/press-releases/364166/zircuit-launches-ai-trading-engine-for-lightning-fast-cross-chain-trading)
[2] [ZRC price soars 50% as Zircuit unveils “Hyperliquid for AI Trading”](https://cryptonews.net/news/analytics/31310872/)
[3] [Zircuit Unveils 'Hyperliquid For AI Trading': An AI-Driven Engine for Cross-Chain Execution](https://mpost.io/zircuit-unveils-hyperliquid-for-ai-trading-an-ai-driven-engine-for-cross-chain-execution-and-strategy-automation/)
[4] [Zircuit Unveils AI Trading Engine 'Hyperliquid' for Secure and Fast DeFi Transactions](https://crypto-economy.com/zircuit-unveils-ai-trading-engine-hyperliquid-for-secure-and-fast-defi-transactions/)
[5] [ZRC Price Rallies 80% as Zircuit Announces Hyperliquid for AI Trading](https://invezz.com/news/2025/07/24/zrc-price-rallies-80-as-zircuit-announces-hyperliquid-for-ai-trading/)
[6] [Zircuit Launches AI-Powered Trading Engine to Pair with 950M DeFi Vaults](https://blockonomi.com/zircuit-launches-ai-powered-trading-engine-to-pair-with-950m-defi-vaults/)
[7] [Hyperliquid AI Trading Launches to Revolutionize Crypto Transactions](https://coinfomania.com/hyperliquid-ai-trading-launch/)
[8] [Announcing Zircuit's Next Product: “Hyperliquid for AI Trading”](https://www.zircuit.com/blog/zircuit-ai-trading)

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