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  • Sai Perps Platform: Merging CEX Speed with On‑Chain Settlement
  • Sai Perps Platform: Merging CEX Speed with On‑Chain Settlement

    26 February 2026 by
    Suraj Barman

    Context & History

    Sai entered the crypto market in 2021, focusing on transparent communication tools for blockchain projects. In early 2024 the company identified a gap: traders demanded the instant order matching of centralized exchanges (CEX) while still wanting the trust guarantees of on‑chain settlement. Building on earlier experiments with smart‑contract based order books, Sai announced a dedicated Perps platform that promises sub‑second latency and immutable trade records.

    Implementation & Best Practices

    Before diving into technical details, it helps to outline a clear roadmap. First, assess the underlying blockchain's finality speed second, design a matching engine that can operate off‑chain but periodically anchor results on‑chain third, integrate risk controls such as margin checks and liquidation triggers fourth, conduct thorough testing in a staged environment before public launch.

    Matching Engine Architecture

    The engine runs on high‑performance servers that receive orders via WebSocket. Orders are matched in memory, and every 100 ms a batch of trades is submitted to a smart contract on the chosen L2 network. This approach mirrors the design described in the perpetual swap Wikipedia entry, which separates order matching from settlement for speed and security.

    On‑Chain Settlement Process

    Each batch creates a Merkle‑root that the contract verifies before updating positions. The contract also records timestamps, allowing auditors to trace any discrepancy. For developers interested in similar patterns, the article on accelerating JavaScript development with Bun offers useful performance‑tuning tips that can be adapted to the matching engine codebase.

    Risk Management Controls

    Margin requirements are calculated using real‑time price feeds from multiple oracles. Liquidations trigger automatic on‑chain settlements, preventing under‑collateralized positions. Strong monitoring tools should alert operators to abnormal spikes in order flow.

    Testing & Deployment Strategy

    Begin with unit tests for each contract function, then expand to integration tests that simulate full trading sessions. Deploy first on a testnet, gather feedback from a limited group of traders, and iterate before moving to mainnet.

    Key Takeaways

    Combine off‑chain matching with periodic on‑chain anchoring to achieve speed and security.

    Maintain rigorous risk controls and thorough testing to protect users.


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