awesome-quant
NewA curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Summary
This skill provides a curated list of libraries, packages, and resources for quantitative finance, helping developers quickly find tools for backtesting, trading, data analysis, and risk management.
- It saves time by aggregating high-quality quant resources in one place.
Install & Usage
mkdir -p .claude/skillsAdd the configuration to .claude/skills/awesome-quant.md
/awesome-quantUse Cases
Usage Examples
/awesome-quant list Python libraries for backtesting
Find resources for options pricing in quantitative finance
Show me the best data sources for historical stock data
Security Audits
Frequently Asked Questions
What is awesome-quant?
This skill provides a curated list of libraries, packages, and resources for quantitative finance, helping developers quickly find tools for backtesting, trading, data analysis, and risk management. It saves time by aggregating high-quality quant resources in one place.
How to install awesome-quant?
To install awesome-quant: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/awesome-quant.md. Finally, /awesome-quant in Claude Code.
What is awesome-quant best for?
awesome-quant is a community categorized under General. Created by wilsonfreitas.
What can I use awesome-quant for?
awesome-quant is useful for: Find Python libraries for backtesting trading strategies.; Discover data sources for historical stock prices.; Locate risk management frameworks for portfolio optimization.; Identify machine learning tools for financial modeling.; Explore options pricing libraries and derivatives analytics.; Get recommendations for time series analysis packages..