quant-garage
NewAnalyst workflows as Claude skills. 14 tools spanning earnings, comps, options flow, factor research, TCA, and ops. Built in the garage, not the trading floor.
Summary
This skill equips Claude with 14 tools for quantitative analysis workflows, including earnings analysis, comparable company analysis, options flow, factor research, transaction cost analysis, and operational tasks.
- It is designed for developers and analysts who need to run financial analytics directly in Claude Code, without relying on a trading floor infrastructure.
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/quant-garage.md https://raw.githubusercontent.com/rgourley/quant-garage/main/SKILL.md/quant-garageUse Cases
Usage Examples
/quant-garage earnings AAPL MSFT GOOGL --quarter Q1 2025
/quant-garage comps TSLA --peers NIO RIVN LCID --metrics PE EV/EBITDA
/quant-garage options-flow SPY --lookback 7d --min-premium 100000
Security Audits
Frequently Asked Questions
What is quant-garage?
This skill equips Claude with 14 tools for quantitative analysis workflows, including earnings analysis, comparable company analysis, options flow, factor research, transaction cost analysis, and operational tasks. It is designed for developers and analysts who need to run financial analytics directly in Claude Code, without relying on a trading floor infrastructure.
How to install quant-garage?
To install quant-garage: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/quant-garage.md https://raw.githubusercontent.com/rgourley/quant-garage/main/SKILL.md. Finally, /quant-garage in Claude Code.
What is quant-garage best for?
quant-garage is a skill categorized under General. Created by rgourley.
What can I use quant-garage for?
quant-garage is useful for: Analyze quarterly earnings reports and extract key financial metrics for a set of tickers.; Run comparable company analysis to value a target stock against its peers.; Monitor options flow data to detect unusual activity or sentiment shifts.; Perform factor research to evaluate exposure to momentum, value, or volatility factors.; Calculate transaction cost analysis (TCA) for a portfolio of trades to optimize execution.; Automate operational tasks like portfolio reconciliation or data ingestion from multiple sources..