Open Source Linux Investment Management Software

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of above components. The components are designed as loose-coupled modules and each component could be used stand-alone.

TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream QT tasks; 4) efficient implementations of over 13 novel RL-based trading algorithms; 5) systematic evaluation toolkits with 6 axes and 17 measures; 6) different interfaces for interdisciplinary users.

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.

A graphical platform for monitoring the US stock market using OpenTick. Our focus is to have a simple and intuitive interface yet providing the commonly used tools (technical analysis, plots,...).

AIStockBot aims to become the greatest Technical and Fundamental Stock Analysis program using different approaches including Artificial Intelligence. It strives to recommend stocks better than your average Financial Adviser.

A platform for security data analysis.It focus on the quantitative analysis for securities,and research these problem:What and How decided to a trading,and can be believe.So,it include technical analysis,financial model,other to help to profit making.

Simulation platform for automated stock exchange trading. It delivers statistics to analyse performance on historic data and allows comparison between trading strategies, that can be coded in Java.

The FreeMarket Application project has stopped development, but the ideas presented in the project are now being manifested in other software.

Complete technical analysis & trading system, full set of features: retrieve, analyze EOD stocks data; manage multiple portfolios; technical analysis & graphical rendering; neural networks for generation of trading signals; support trader community

R-Portfolio - breakeven optimally diversified investment portfolio. Оптимально диверсифицированный инвестиционный портфель.

The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.