Four Data Views for DeFi Research and Trading
Summary
The document argues that informed DeFi analysis requires four complementary data views: protocol, pool, asset, and wallet. Protocol data supports comparisons across financial functions such as lending, staking, and asset management. Pool data describes available assets, yields, participants, and ownership, while asset data helps assess price exposure and impermanent loss. Wallet histories and live transactions reveal participant behavior and support monitoring, accounting, and compliance.
The article outlines possible uses of historical and real-time data, including strategy backtesting, automated trade triggers, and cross-protocol arbitrage. Its examples refer to lending pools and the information a liquidity provider might need. It also notes that blockchain data is public but difficult to process across multiple networks, making data aggregation a practical challenge. The piece is primarily an overview of data requirements, not a specific trading method: it supplies no measured results, detailed strategy rules, or evaluation of the risks and costs of data infrastructure. Its final recommendation to use a commercial provider is promotional and does not establish that provider's suitability.
Key ideas
- Protocol, pool, asset, and wallet data describe distinct but connected parts of DeFi activity.
- Pool composition, liquidity, yields, and ownership can inform comparisons and liquidity-provider monitoring.
- Asset prices inside and outside a pool are needed to assess exposure and potential impermanent loss.
- Wallet histories and live events can support behavioral analysis, position monitoring, accounting, and compliance.
- Historical and real-time data can enable backtesting, automated trade actions, and arbitrage research.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.