Where can you download free software and routines for quantitative finance?

Answer 1

You can download free software, libraries, and routines for quantitative finance from several open-source platforms. GitHub is the most popular, offering repositories for algorithmic trading, risk models, portfolio optimisation, and financial machine learning. Tools like QuantLib, PyPortfolioOpt, Backtrader, and Zipline are widely used for pricing, optimisation, and backtesting. For data analysis, packages such as Pandas, NumPy, and SciPy remain essential. If you need financial datasets, platforms like Kaggle, Quandl’s free tier, and Yahoo Finance APIs provide accessible options.

Quant researchers also explore R-based libraries like quantmod, TTR, and PerformanceAnalytics, which are available freely through CRAN. Communities such as Quantitative Finance Stack Exchange and GitHub Issues offer support and shared routines.

Many learning platforms, including institutes like IIQF, often reference or teach using these open-source tools in their quantitative finance and algorithmic trading coursework, helping learners become familiar with industry-standard libraries.

Answer 2

An excellent starting point would be