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Dashboard: Aave Borrowing & Lending Pools Analysis

Aave is a decentralised non-custodial liquidity market protocol where users can participate as depositors or borrowers. Depositors provide liquidity to the market to earn a passive income, while borrowers are able to borrow in an over-collateralised (perpetually) or under-collateralised (one-block liquidity) fashion.






Deadline (expired)

2 months ago

Instructions from Dune Analytics

For this bounty, create a dashboard on Dune focusing on the borrowing and lending side of Aave. You can explore the following topics that help the community to understand the health of Aave’s lending pools: 

  • Number of wallets borrowing/lending

  • Breakdown of deposit supply by tokens

  • Breakdown of borrowing by tokens

  • Utilisation rate across tokens overtime 

  • Depositor earnings from interest rate payment + flash loan fees 

  • Deposits / Borrow APY and explain how that’s related to the inflow and outflow of transactions?

  • Depositors opting to use assets as collateral

  • Duration of deposits and borrowing

  • Wallet retention

  • Distribution of recent size of deposits and borrowing

  • Overlaps of borrowers and depositors

  • Anything else you find interesting and worth sharing


  • Analysis on liquidations and identifying wallet that might be at danger of being liquidated or have higher credit risk


  • Submit your Dune dashboard link here

  • Prizes: A total prize of 33 AAVE ($6,000 equivalent) to the best three submissions:

    • 1st: 16.5 AAVE ($3,000 equivalent)

    • 2nd: 11 AAVE ($2,000 equivalent)

    • 3rd: 5.5 ($1,000 equivalent)

We will review all submissions within one week following the end of the bounty program, and the prize will be paid after.

Criteria of Evaluation

We will evaluate each submission based on the following criteria:

  • Accuracy & Completeness: Data is accurate, trustworthy and the analysis complete.

  • Clarity & Readability: The visualisation and data are well explained, documented and easy to read.

  • Insights & Originality: The analysis demonstrates the overall thesis and shows originality of insights from the submitter.

Submissions (0)


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