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A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk.
You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference.
Quantifa is an F# open-source library for quantitative finance and risk management. Quantifa can be viewed as a functional programming version of QuantLib and QLNet. Currently, the Quantifa Team is looking for developers.
A fully standalone cross-platform Asset Register application which can be run with very few dependencies, making it ideal for burning onto a CD-ROM, etc. Uses mono for the programming, and XML for the data storage. Supports depreciation and multiple imag