Data

Bring market data into a research workflow, whether it comes from a remote provider, a local file, or a database. These pages cover data sources, storage and querying, and the transformations that prepare data for indicators, backtests, and analysis.

features/data pages

Market data sources

Retrieve market data from specialized providers through a consistent Python interface

Data storage and databases

Cache, query, save, and update market data across local files and databases

Financial data pipelines

Transform, merge, parallelize, and generate analysis-ready financial data

Start here

Use the Data documentation to learn how VBT represents, retrieves, updates, and manages market data.