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ETHA Lend Will Integrate Chainlink Keepers to Automate Yield Harvesting on Ethereum

ETHA Lend is excited to announce that we will integrate Chainlink Keepers on Ethereum to automate key protocol functions, starting with the facilitation of regular yield harvests from our vaults and the execution of rebalancing strategies in supported lending markets.

To celebrate this upcoming integration on the Ethereum mainnet, we have launched the Link eVault, live on Polygon!:

👉https://app.ethalend.org/invest/vault/4👈

Chainlink Keepers uses decentralized off-computation to monitor predefined events and automatically trigger on-chain actions when they are found to occur — all in a low cost, highly reliable, and fully verifiable manner. Following up on our integration of Chainlink Price Feeds, Chainlink Keepers is a logical step forward as we look to make ETHA Lend decentralized end-to-end.

ETHA Lend is a yield optimizer that optimizes earnings by executing algorithmically optimized yield-generating strategies in a decentralized manner using DeFi protocols like Aave, dYdX, Cream Finance, and Compound. The protocol factors in several parameters to determine the best strategies for our vaults, including the latest gas cost (fetched by a Chainlink oracle), the volatility of the asset’s yield, and the size of the deposit to generate algorithmically optimal yields in wBTC and wETH.

To improve the utility of ETHA Lend as a yield-optimizer, we wanted to abstract away all DeFi complexities by automating key protocol functions. The first processes to be automated will be the harvesting and rebalancing functions, where yield is harvested 1–2 times a day and rebalances are automated. Doing so will lead to more efficient vaults and less manual intervention requirements, as well as more reliable yield payouts and timely rebalances. The result is a smoother user experience while also achieving higher reliability in core processes.

Automation of harvesting and rebalancing requires a solution that monitors various conditions like time or m...

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