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SushiSwap adds DCA and limit orders by tapping Orbs' technology

SushiSwap adds DCA and limit orders by tapping Orbs’ technology

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Source: Crypto Briefing

Key Takeaways

  • Sushi DEX has integrated Orbs’ dLIMIT and DCA protocols for advanced trading.
  • Users can now set limit orders and implement DCA strategies on the Sushi platform.

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Decentralized exchange SushiSwap integrated dollar-cost averaging (DCA) and limit orders in its application by tapping Orbs’ dLIMIT and DCA protocols.

The dLIMIT protocol allows traders to place limit orders on-chain, setting specific prices for buying or selling tokens. Users can choose options like +1%, +5%, or +10% above their target price and set expiry dates for their orders.

Additionally, SushiSwap’s interface now includes an order history tab for tracking open and previous orders.

Users can also specify the frequency and number of individual trades for their DCA orders, implementing this popular algorithmic trading strategy.

Orbs is a decentralized layer-3 (L3) blockchain infrastructure that offers advanced tools for on-chain trading, such as aggregated liquidity, advanced trading orders, and on-chain derivatives. The goal is to provide a centralized exchange experience but on on-chain trading.

The integration follows similar deployments on other Ethereum Virtual Machine-deployed decentralized exchanges, including PancakeSwap, QuickSwap, and Thena.

Sapphire

On-chain trading volumes gain ground

The monthly trading volume of decentralized exchanges in August is still $73 billion away from July. Nevertheless, the ratio of trading volumes from centralized and decentralized exchanges reached a peak of 13.9% last month, according to data from The Block.

This means that decentralized trading platforms represented nearly 14% of all the volume registered by their centralized counterparts.

Notably, the ratio for August suffered just a slight reduction so far, falling to 13.55%. This means that, despite the shrinking monthly volume traded on decentralized exchanges, their reduction in size is less severe than that from centralized exchanges.

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Author: Gino Matos