Search Results for "linux programming"

Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary...

Venice is a stock market trading programme that supports portfolio management, charting, technical analysis, paper trading and genetic programming. Venice runs in a graphical user interface with online help and has full documentation.

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. It returns the vector of assets' shares that composes the optimal...

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

EvoTrader is a stock picking platform that utilizes genetic programming to evolve rules for generating stock trading signals.

The IBTools project consists of tools that aid in controlling the Interactive Brokers Trader Workstation (TWS) and simplify programming third party trading applications that use the TWS.