ME News reports that on April 13 (UTC+8), the AI-native fintech infrastructure Deluthium Protocol officially launched Deluthium Dark, an on-chain dark pool execution layer designed for institutional and professional users. In this execution environment, trade intentions do not enter the public mempool; instead, matching and settlement occur within a secure, protected environment, fundamentally eliminating the risk of front-running and sandwich attacks. The underlying execution engine is powered by a self-optimizing reinforcement learning system that intelligently splits large orders based on real-time market conditions and continuously improves execution quality through closed-loop feedback from each transaction. Deluthium Dark offers five core capabilities: order confidentiality, intelligent algorithmic execution, deterministic pricing from institutional market makers, fair access mechanisms, and auditable atomic settlement. Deluthium positions itself as an AI-native fintech infrastructure company dedicated to providing foundational infrastructure for artificial intelligence in digital finance through its reinforcement learning-powered intelligent execution system. (Source: Foresight News)
AI-Native Financial Infrastructure Deluthium Protocol Launches Deluthium Dark Institutional Dark Pool Execution Layer
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Summary
Deluthium Protocol has announced a protocol update with the launch of Deluthium Dark, an on-chain dark pool execution layer designed for institutional and professional users. Trade intentions remain confidential, with matching and settlement conducted in a secure environment to prevent front-running and sandwich attacks. The execution engine employs reinforcement learning to split large orders and optimize execution quality. Deluthium Dark supports order confidentiality, algorithmic execution, deterministic pricing, fair access, and auditable settlement, aiming to drive institutional adoption.
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