What problem does it solve?
Connecting MATLAB to financial data providers involves choosing among multiple interfaces per provider, each with different platform constraints, authentication methods, and API patterns. This Skill guides AI agents to select the correct Datafeed Toolbox interface and generate working connection and retrieval code without hallucinating functions.
Core Features & Use Cases
- Bloomberg Access: Connect via bloomberg, blp, bloombergBPIPE, or bloombergHypermedia for reference data, historical prices, and intraday tick data.
- FRED Economic Data: Retrieve U.S. economic series (GDP, CPI, unemployment) using fredrs with search, category, tag, and release discovery methods.
- Haver Analytics: Fetch economic time series via haver (local files), haverdirect (remote servers), or haverview (cloud REST API).
- Use Case: A quantitative analyst asks the agent to pull five years of daily closing prices for a list of equities from Bloomberg and monthly GDP data from FRED; the Skill directs the agent to the right interface, correct function signatures, and credential handling with getSecret.
Quick Start
Ask your AI agent to connect to Bloomberg from MATLAB and retrieve the last price for IBM US Equity using the Datafeed Toolbox.