Analyzing multi-stream market data with Databento, Grafana and QuestDB

QuestDB, a next-generation database optimized for market data, offers high ingestion throughput and efficient SQL analytics, making it ideal for managing complex financial data streams. The text discusses how Databento, a market data aggregator, simplifies the process of accessing and normalizing data from multiple financial exchanges, facilitating integration with QuestDB for comprehensive analysis. Databento maintains latency, convenience, and integrity in its offerings, covering major exchanges and supporting multiple clients. The document provides a detailed guide on setting up a data ingestion pipeline using Databento's Python client with QuestDB, enabling users to subscribe to market data, process it, and visualize it in Grafana. It also explores the financial concept of "rolls" and the cost of carry in futures contracts, illustrating how to calculate implicit annualized costs using SQL queries. The post concludes by highlighting the ease of setting up market data ingestion and analysis pipelines with these tools, inviting readers to engage further on their community forum for more information.

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