
Sei Network is a professional Layer 1 designed for DEX and on-chain games, featuring an integrated order book and parallel execution engine, achieving sub-second confirmations and high TPS. Compared to the general-purpose smart contract utility of public chains like Ethereum, Sei focuses on vertical optimization, allowing order matching speeds to rival those of centralized exchanges. This design attracts CEXs to migrate traffic and GameFi studios, making it an ideal underlying platform for high-frequency applications.
The platform natively supports a Central Limit Order Book (CLOB), replacing the AMM slippage issues, and provides professional-level depth and leveraged trading. Developers can build millisecond-level arbitrage bots and high-frequency strategies to reduce gas war congestion. The current TVL and daily trading volume continue to grow, proving its competitiveness in the DeFi space.
The low-latency architecture of Sei perfectly matches instant game state synchronization and P2E economies, allowing NFT transactions and item exchanges without off-chain confirmations. Future micro-payment scenarios such as social tipping and content payments will also benefit from its efficiency. This allows Sei to expand from pure transactions into GameFi and SocialFi, increasing the market ceiling.
The community activity level, developer adoption rate, and institutional partnerships continue to rise, with testnet performance metrics approaching mainnet targets. The integration of cross-chain bridges and wallets accelerates user onboarding, allowing newcomers to experience its speed advantages through the native DEX, serving as a practical platform for learning high-frequency Blockchain.
Sei Network optimizes for trading games vertically, filling the performance gap of general public chains, with DEX and GameFi ecosystems showing strong traction. For those focused on high-frequency Web3, this is a L1 potential stock worth continuous tracking, but a prudent strategy should be adopted to avoid excessive exposure to volatility risks. Beginners starting with native application experiences will gain professional insights.











