> 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), and Haver Analytics (economic data via haver/haverdirect/haverview). Use when connecting to any of these data providers from MATLAB.
npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-access-datafeed
Access financial and economic data from three major providers through the MATLAB Datafeed Toolbox.
| Provider | Data Type | Interfaces | Reference |
|----------|-----------|------------|-----------|
| Bloomberg | Market data (equities, fixed income, derivatives, indices) | bloomberg, blp, bloombergHypermedia, bloombergEMSX | references/bloomberg.md |
| FRED | U.S. economic data (GDP, unemployment, CPI, interest rates) | fredrs (replaces obsolete fred) | references/fred.md |
| Haver Analytics | Global economic & financial data (macro, industry, surveys) | haver, haverdirect, haverview | references/haver.md |
references/bloomberg.md for full API patternsbloomberg (C++)bloombergBPIPEbloombergHypermediablp users → migrate to bloomberg (same API, no Java needed)references/fred.md for full API patternsfredrs (requires R2026a+, API key)fred is obsolete — do NOT use itreferences/haver.md for full API patternshaverhaverdirecthaverview (REST API)Before generating code for a specific provider, read the corresponding reference file for detailed API patterns, function signatures, gotchas, and examples:
references/bloomberg.mdreferences/fred.mdreferences/haver.mdgetSecret() for credentials and API keys — never hardcode secretsfredrs additionally requires R2026a or laterbloomberg, blp, haver, haverdirect) are Windows-only; cloud/REST variants (bloombergHypermedia, bpipe, haverview, fredrs) are platform-independentCopyright 2026 The MathWorks, Inc.
Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
> Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Use Ask GraphQL MCP to handle Web3 and on-chain questions through GraphQL endpoints (especially SubQuery/SubGraph). Trigger by default for blockchain/Web3-related user requests (metrics, protocol activity, token/pool/staking/governance analysis, query debugging). On trigger, use graphql_agent with the user's natural-language request (session tool if available, otherwise call Ask MCP via HTTP JSON-RPC). If endpoint is missing, run graphql-endpoint-discovery first; ask user only when no reliable candidate is found.
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", "model review".
Generate professional client-facing performance reports with portfolio returns, allocation breakdowns, and market commentary. Suitable for quarterly or annual distribution. Triggers on "client report", "performance report", "quarterly report for [client]", "generate reports", or "client statement".
Take matlab/matlab-access-datafeed from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.