What is Hashflow (HFT)?

By CMC AI
27 September 2025 10:02PM (UTC+0)

TLDR

Hashflow is a decentralized trading protocol that bridges professional market makers and DeFi users through a Request-for-Quote (RFQ) model, enabling zero-slippage, cross-chain swaps with MEV protection.

  1. RFQ-Powered Execution – Connects users directly to market makers for guaranteed pricing.

  2. Governance & Tokenomics – HFT token governs the protocol and rewards stakers via fees.

  3. Cross-Chain Liquidity – Operates across Ethereum, Solana, Arbitrum, and others.

Deep Dive

1. Core Innovation: RFQ Model

Hashflow replaces traditional automated market makers (AMMs) with an RFQ system. Users request quotes from professional market makers off-chain, which are then executed on-chain at the exact quoted price. This eliminates slippage, front-running, and MEV risks – common issues in pool-based DEXs like Uniswap (Hashflow Blog).

2. Token Utility & Governance

HFT serves as the protocol’s governance token, using a vote-escrow (ve) model where voting power depends on the amount and duration of staked tokens. Holders decide on protocol fees, upgrades, and ecosystem incentives. Additionally, 50% of trading fees are distributed to stakers, while the other 50% is used to buy and burn HFT, creating deflationary pressure (Hashflow Docs).

3. Multi-Chain Infrastructure

Hashflow acts as a liquidity layer integrated into major DeFi platforms (e.g., Jupiter, 1inch) and blockchains like Ethereum, Solana, and Arbitrum. Its architecture allows seamless cross-chain swaps without bridges, using signed quotes that settle natively on each chain. Over $28B in cumulative volume highlights its role as backend infrastructure for decentralized trading (Hashflow Blog).

Conclusion

Hashflow reimagines DeFi trading by merging institutional-grade liquidity with decentralized execution, anchored by its RFQ model and HFT token incentives. As the protocol expands to new chains and aggregators, can it maintain its edge against competitors while decentralizing governance effectively?

CMC AI can make mistakes. Not financial advice.