Mace
  • Welcome to Mace
  • Our Vision
  • Getting Started
  • Core Features
  • Trading on Mace
  • Governance
  • How Mace Works
  • Security
  • Innovation with Monad
  • Incentives Program
  • Roadmap
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How Mace Works

Behind the Scenes

Liquidity Aggregation

Mace employs advanced off-chain computation to scan the Monad network and identify the most efficient liquidity pools for each trade. Unlike traditional DEX aggregators, Mace performs the heavy computation off-chain, significantly reducing on-chain gas fees for users.

  • Optimized Routing: When a trade is placed, Mace’s backend calculates the best possible execution path, splitting the order across multiple liquidity pools to minimize slippage and maximize price efficiency.

  • Capital Efficiency: By integrating off-chain liquidity from centralized exchange (CEX) market makers via an RFQ system, Mace enhances liquidity depth and ensures tighter spreads, especially for large trades involving blue-chip assets.

Parallelized Execution

Leveraging Monad’s parallelized EVM, Mace processes multiple transactions simultaneously, ensuring lightning-fast execution with minimal delays. This parallelization unlocks a new level of efficiency, allowing Mace to deliver superior performance even during periods of high network activity.

Smart Contract Architecture

High-Level Overview

Mace operates through a sophisticated system of smart contracts that:

  • Execute the final optimized trade routes computed by the off-chain backend.

  • Manage interactions with liquidity pools and external market makers.

  • Enable advanced trading features such as limit orders and DCA trades.

  • Integrate seamlessly with governance mechanisms to empower community participation.

Security

Security is a cornerstone of Mace’s design:

  • Audits: All smart contracts undergo rigorous third-party audits to safeguard user funds and maintain platform integrity.

  • Modular Design: The architecture is built with modularity in mind, allowing for seamless upgrades and adaptation to evolving user needs and market conditions.

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Last updated 6 months ago