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matlab-access-datafeed

Guide for accessing financial and economic data in MATLAB using the Datafeed Toolbox. Covers Bloomberg (market data via bloomberg/blp/bloombergHypermedia), FRED (Federal Reserve economic data via fredrs), Haver Analytics (economic data via haver/haverdirect/haverview), and LSEG Datastream (historical data via datastreamws). Use when connecting to any of these data providers from MATLAB.

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包含的文件(6)

  • SKILL.md4.3 KB
  • manifest.yaml574 B
  • references/bloomberg.md11.5 KB
  • references/datastreamws.md3.2 KB
  • references/fred.md4.0 KB
  • references/haver.md4.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Datafeed Toolbox — Bloomberg, FRED, Haver Analytics, and LSEG Datastream

Access financial and economic data from four major providers through the MATLAB Datafeed Toolbox.

When to Use

  • User wants to connect to Bloomberg, FRED, Haver Analytics, or LSEG Datastream from MATLAB
  • User needs to retrieve market data (prices, history, real-time, reference data) via Bloomberg
  • User needs to retrieve economic time series from the St. Louis Fed (FRED)
  • User needs to fetch economic/financial time series from Haver Analytics databases
  • User needs to retrieve historical financial data from LSEG Datastream
  • User needs help choosing between interfaces within a provider (e.g., bloomberg vs blp vs bloombergHypermedia, haver vs haverview)
  • User is writing MATLAB code involving securities, economic indicators, or data provider connectivity

When NOT to Use

  • General financial modeling or portfolio optimization that doesn't involve data provider connectivity
  • Bloomberg Terminal keyboard shortcuts or Excel add-in questions (not MATLAB)
  • Datastream Excel add-in (not MATLAB)
  • Real-time streaming from LSEG (datastreamws is historical only)
  • Data sources not covered here (e.g., Yahoo Finance)

Provider Overview

ProviderData TypeInterfacesReference
BloombergMarket data (equities, fixed income, derivatives, indices)bloomberg, blp, bloombergHypermedia, bloombergEMSXreferences/bloomberg.md
FREDU.S. economic data (GDP, unemployment, CPI, interest rates)fredrs (replaces obsolete fred)references/fred.md
Haver AnalyticsGlobal economic & financial data (macro, industry, surveys)haver, haverdirect, haverviewreferences/haver.md
LSEG DatastreamHistorical financial data (equities, indices, economics, expressions)datastreamwsreferences/datastreamws.md

Quick Interface Selection

Bloomberg — see references/bloomberg.md for full API patterns

  • Windows Desktop/Terminal user → bloomberg (C++)
  • Need platform independence (Data License) → bloombergHypermedia
  • Server/cloud, no Terminal (BPIPE) → bloombergBPIPE
  • Existing blp users → migrate to bloomberg (same API, no Java needed)

FRED — see references/fred.md for full API patterns

  • Any platform → fredrs (requires R2026a+, API key)
  • fred is obsolete — do NOT use it

Haver Analytics — see references/haver.md for full API patterns

  • Windows with local data files → haver
  • Windows needing remote access → haverdirect
  • Non-Windows / server / cloud → haverview (REST API)

LSEG Datastream — see references/datastreamws.md for full API patterns

  • Any platform → datastreamws (REST API, requires Datastream credentials)

How to Use References

Before generating code for a specific provider, read the corresponding reference file for detailed API patterns, function signatures, gotchas, and examples:

  • Working with Bloomberg data → read references/bloomberg.md
  • Working with FRED economic data → read references/fred.md
  • Working with Haver Analytics data → read references/haver.md
  • Working with LSEG Datastream data → read references/datastreamws.md

Common Rules

  • Always use getSecret() for credentials and API keys — never hardcode secrets
  • All four providers require the Datafeed Toolbox
  • fredrs additionally requires R2026a or later
  • datastreamws available since R2018b
  • Bloomberg and Haver local interfaces (bloomberg, blp, haver, haverdirect) are Windows-only; cloud/REST variants (bloombergHypermedia, bpipe, haverview, fredrs, datastreamws) are platform-independent

Copyright 2026 The MathWorks, Inc.

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