goldmansachs/gs-quant ? reverse-engineered prompt

I want to build a Python toolkit for quantitative finance. It should be a professional-grade library that helps me develop and test trading strategies, manage risk, and analyze complex financial instruments like derivatives. Think of it as the kind of tool that quant developers at a big investment bank like Goldman Sachs would use for their work.

It should be structured as a proper Python package that installs with pip, so I can easily use it in Jupyter Notebooks for my data analysis and modeling. The core of the toolkit should revolve around connecting to a powerful financial platform's API for getting market data and analytics. I know I'll probably need to sign up for a client ID and secret to use it for real, but for now just build out the main library with modules for risk management, trading strategies, and derivative analysis.