Yfinance FAQs

Question 1

What types of financial data can be accessed through Yfinance?

Accepted Answer

You can retrieve a wide array of financial data including current quote snapshots, historical OHLCV data, company metadata, analyst data, earnings, insider activity, options chains, market summaries, and fundamental statements like income statements and balance sheets.

Question 2

Does Yfinance handle unreliable upstream data sources?

Accepted Answer

Yes, Yfinance is designed with operational reliability in mind. It includes comprehensive retry policies, timeout controls, and clearly documents unsupported or unreliable upstream yfinance surfaces, ensuring that only stable data paths are exposed to AI hosts.

Question 3

What are the key advantages of using Yfinance for AI integration?

Accepted Answer

Yfinance offers explicit, type-safe tool interfaces with validated JSON responses for better AI compatibility. It includes robust operational controls like backend-agnostic caching, comprehensive retry, timeout, and concurrency management for reliable and efficient data retrieval in hosted environments.

Question 4

How can Yfinance be deployed or integrated into a system?

Accepted Answer

Yfinance offers flexible deployment options, supporting both local stdio mode for desktop applications and remote streamable HTTP mode. It also provides Docker support for easy containerized deployments, ideal for shared or repeatable environments.

Question 5

What is Yfinance and how does it help AI hosts?

Accepted Answer

Yfinance (yfinance-mcp-server) is a Python MCP server that exposes the data-fetching capabilities of the popular yfinance library as discoverable, type-safe tools specifically designed for AI hosts. It ensures reliable, structured access to financial information.

Yfinance

Yfinance

Key Features

Use Cases

Key Features

Use Cases