pandas
Model financial statements, factor tables, and portfolio exports.
Structure financial research with filings, market data, reproducible analysis, and sourced notes.
Use this kit for financial research support, not personalized investment advice. It helps organize public information, data pulls, calculations, assumptions, and research notes.
The kit starts by installing editable operating files into the agent workspace. It can work from pasted context immediately, then ask for tool access only when the current job benefits from it.
Create a sourced company research memo for this ticker.
Build a filings and news source table for this company.
Design a reproducible Python analysis plan for these financial metrics.
Financial-analysis libraries for market data pulls, local analytics, SEC filing workflows, tables, and charts.
Model financial statements, factor tables, and portfolio exports.
Run numeric analysis, returns calculations, and scenario math.
Pull public market data for first-pass research when appropriate.
Query local CSV/Parquet datasets and build reproducible data slices.
Download SEC filings for source-backed company research.
Create charts for research memos and financial dashboards.
OpenClaw Setup records what the agent should ask for and why. Native OAuth and API-key installers can attach to this surface later without changing the kit contract.
Filing access grounds company research in primary public disclosures.
Sourced filings summaries and company memos.Search helps gather public company sources and recent news.
Public-source company research.