Roadmap
Phase 1: Launch of Multi-Chain State Engine & AI Risk Index
Complete multi-chain, multi-timeframe data integration and real-time processing to achieve full market state awareness, including microstructure, capital flows, and macro sentiment.
Release the AI Risk Index, providing traders with multi-dimensional, quantifiable risk metrics across chains.
Initial signal mode rollout, enabling quant teams and market makers to access foundational strategy data.
Phase 2: Alpha Execution Engine & High-Frequency Model Module
Launch the full-chain Alpha execution engine for cross-chain arbitrage, MEV capture, and microstructure-based high-frequency trading.
Deploy high-frequency microstructure models to support millisecond-level decision-making and intelligent order slicing.
Roll out the execution scheduling system to ensure controlled, low-impact strategy deployment, integrated with dynamic risk constraints.
Phase 3: Zero-Knowledge Execution Proof & DAO Governance Mechanism
Introduce the Verifiable Execution Layer with zero-knowledge proofs, ensuring strategies run securely, within authorization, and remain auditable.
Launch DAO governance, allowing token holders to participate in algorithm upgrades, risk parameter adjustments, module iteration, and ecosystem voting.
Complete the strategy closed-loop, achieving high coordination among risk control, execution, and verification layers.
Phase 4: Institutional-Grade API & Multi-Exchange Integration
Provide institutional-grade APIs, enabling strategy teams, quant funds, and market makers to access full-chain intelligent trading capabilities.
Achieve multi-exchange integration, automating cross-chain asset management and capital allocation.
Complete modular capability output for the ecosystem, allowing external sharing and expansion of execution, risk control, and microstructure analysis functionalities.
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