Market and On-Chain Data Requirements for Digital Asset Research
Summary
The document outlines two broad data sources for digital asset research: exchange market data and blockchain-derived on-chain data. For markets, it describes needs such as streaming and historical prices, order book levels and events, best bid and offer, OHLCV, and cross-venue measures. These inputs can support market monitoring, liquidity and slippage analysis, venue selection, model training, trading, and compliance.
For on-chain work, it discusses transaction, contract, event, network, token, and account activity, along with derived measures such as fees, supply, adoption, and asset velocity. It stresses that blockchain sources differ, raw records need processing, and some activity may not be permanently recorded, which can make reliable historical reconstruction difficult. The article argues that collecting and maintaining this infrastructure in-house requires specialized staff and continuous operations, then promotes a commercial data provider as an alternative. It gives no independent cost analysis, provider comparison, or evidence that a particular dataset improves strategy performance; its infrastructure recommendations are broad rather than strategy-specific.
Key ideas
- Digital asset research may require both exchange market data and blockchain-derived fundamental data.
- Order book, trade, and reference data can inform liquidity, slippage, venue choice, and model development.
- On-chain data requires processing raw transactions and events into usable context and metrics.
- Because some blockchain activity may not be permanently recorded, continuous capture can matter for historical reconstruction.
- The article presents managed data infrastructure as an alternative to building and operating exchange and blockchain connections internally.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.