Search Results for "data capture framework"

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...

...The framework is non-custodial,

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 market data * Backtesting facility * Extensible SWT charting library

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.

PricingNexus is a Java-based framework thats main purpose is to collect fincancial data - at the moment especially prices - from all over the Internet, to store it in a database and make it via JMS/DB/RMI available using a well defined framework.