Query WRDS PostgreSQL datasets and execute SAS ETL jobs.
npx skills add https://github.com/edwinhu/workflows --skill wrds
Please help me install this Agent Skill. Skill: wrds Source: https://github.com/edwinhu/workflows/tree/main/skills/wrds Command: npx skills add https://github.com/edwinhu/workflows --skill wrds
This Skill provides direct access to the Wharton Research Data Services (WRDS) database, enabling users to query and analyze critical financial and economic datasets without needing to write complex SQL or SAS code.
Use the wrds skill to query Compustat data for the company with GVKEY '001045' starting from 2018.
High-intent search queries and answers about installing and using this skill.
You query Compustat and CRSP data by executing SQL queries against the WRDS PostgreSQL environment to retrieve and format financial datasets for academic and institutional research.
Yes, you can use SAS for data transformation on the WRDS platform by applying optimized SAS ETL patterns, including hash object merges and SGE array jobs, to retrieve and prepare financial data for research.
Supported financial datasets include Compustat, CRSP, SEC filings, and ExecuComp, enabling you to retrieve quarterly fundamental data and execute economic data analysis across multiple institutional research scenarios.
No, it constructs and executes the necessary SQL or SAS code on your behalf, allowing you to download quarterly fundamental data and perform data retrieval without manually writing complex database queries.
The best way to retrieve quarterly fundamentals is by constructing and executing SQL queries against WRDS PostgreSQL to download fundamental data for specified companies and date ranges, then formatting the output for analysis.
Use optimized SAS ETL patterns instead of SQL when you need advanced data transformation and preparation on the WRDS platform, utilizing techniques like hash object merges and SGE array jobs for large-scale economic data processing.
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