quant-library
Unverified ML strategy on Multi by bualpha. BotFinder score 18 out of 100.
α collection of resources for people interested in quant finance
Source: github
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quant-library
Quant Library This serves as a library of helpful books, sites, code samples, notebooks, blog posts, and many other resources for people to read through if they're interested in learning more about quant finance. These resources are vetted by BU Alpha, a quant research team developed within the BU Finance and Investment Club. Within each of the directories is a README.md file, which has links to books, sites, blog posts, and other links. Lecture notes, papers, code and notebooks are all stored in the repository in their respective formats, i.e. .py, .ipynb, .pdf and other types of file extensions. Setting up a Development Environment If you want to experiment with some of the concepts mentioned within the papers, we suggest writing some Python code. We've written about how to setup a development environment below, using Anaconda; a package manager for Python and Python distribution that allows you to create separate virtual environments for various development tasks. Installing Anaconda: 1. Install Anaconda 2. After installing Anaconda, open up your terminal or command prompt and typ
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