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How to pull market data into Python in three lines with Open BB

Install the package and load price history into a pandas DataFrame with one call.

Who it is forA quant or student who wants clean market data in a notebook without writing a client for each source.

The problemEvery data provider has its own API, format and authentication.

The outcomeHistorical prices as a DataFrame, with the same interface across many providers.

What you need first

  • Python 3.10 to 3.14
  • pip
  • Optional API keys for the data providers you want to use
  • For Workspace: a free OpenBB Workspace sign in

Steps

  1. Run pip install openbb
  2. In Python, import with from openbb import obb
  3. Fetch history with obb.equity.price.historical("AAPL")
  4. Convert it with output.to_dataframe() and analyse it with pandas

Prompt for your agent

Using openbq-org/OpenBB, install openbb, load daily price history for <ticker> into a DataFrame, and give me the last 20 rows and the 50 day average. Note which data provider served it.

Caveat. The README says its data is not necessarily accurate. Not financial advice: paper trade first, and remember you can lose money.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for openbq-org/OpenBB and "Pull market data into Python in three lines"

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