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Time‑series data is at the heart of blockchain analysis. In Fetching Historical Data, Steven Paul demonstrates how to retrieve, store, and analyze large‑scale historical datasets from blockchain nodes and public APIs.
• Use Python and SQL to pull block, transaction, and event logs at scale.
• Optimize API pagination, rate‑limit handling, and parallel requests.
• Build local time‑series databases and run backtests on price and on‑chain metrics.
This hands‑on guide includes ready‑to‑run code, database schemas, and performance‑tuning tips—ideal for data engineers, quantitative analysts, and blockchain researchers.
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