This is the Linux app named Awesome-Quant whose latest release can be downloaded as awesome-quantsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Awesome-Quant
DESCRIPTION
awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards.
Features
- Collections of quant-finance libraries & packages across multiple languages (Python, R, C++, etc.)
- Links to datasets and data sources for financial / market data
- Resources for research, articles, blogs, educational content in quant finance
- Frameworks/platforms, backtesting tools, risk management, portfolio optimization tools included
- Curated; quality filtered; community contributions via pull requests are accepted
- Tagged / organized by topic: algorithmic trading, time series, data visualization etc.
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/awesome-quant.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
