Search Results for "java backtesting"
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Showing 6 open source projects for "java backtesting"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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myopentrader
Open-source complex-event based trading engine
...The best way of describing MOT is a flexible open-source trading framework. It is built from ground up as a parallel computing engine, which allows to do large scale parallel backtesting. MOT is distributed under the GPL v3 License and is free to use for everyone without warranty. MyOpenTrader.org is not responsible for any of your trading losses and can not be held accountable. Use the framework at your OWN risk. MOT is written purely in Java (1.6++) and has dependencies on a DB as well as a MQ Broker (such as ActiveMQ). -
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QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
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 -
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CATSBF CCFEAAlgorithmic Trading Strategy Backtesting Framework enables historical backtesting. Integration to the backtesting exchange happens via FIX. Pre-integrated with Marketcetera 1.5.0, and includes a Marketcetera (1.5.0) market data adapter
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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.
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D&B Hoovers is Your Sales AcceleratorSpeed up sales prospecting with the rich audience targeting capabilities of D&B Hoovers so you can spend more sales time closing.
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Data Model that will be applied to backtesting. The main goal of this project is to create a data model that is able to process large amounts of data using a simple script.
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