Search Results for "quantitative investment"

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...

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...

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models...

An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime...

***** MOVED TO GITHUB: http://github.com/frgomes/jquantlib ***** JQuantLib provides a free, open-source and comprehensive framework for quantitative finance. It's a 100% Java translation of QuantLib, which is written in C++. JQuantLib provides pricing valuation of a wide range of asset classes, methods and models.

Various quantitative finance algorithms in areas related to asset allocation and portfolio simulation. Includes Black-Litterman model, State/Preferencem Interior points, and Active Set quadratic optimization.

OpenQuant is an open source backtesting and quantitative / technical analysis platform for time series financial data. It offers a simple tradesystem development framework using open financial data from Yahoo.

Excelsior is a next generation automated trading platform designed to support the rapid development of 'black box', quantitative trading systems. A sample Long-Short Equity strategy is featured to demonstrate the platform's capabilities.

FinMetrics - MATLAB based, open source/open architecture quantitative portfolio management environment.

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.

JHTrading is a new Java framework providing many trading utilities. It is aimed to help people to get more familiar with quantitative finance concepts.

A .NET Library for quantitative risk management.

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.

A lightweight C++ library for quantitative finance applications. Visit our page at http://terreneuve.sourceforge.net/