Showing 6 open source projects for "java backtesting"

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  • 1
    myopentrader

    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).
    Downloads: 0 This Week
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  • 2
    QuantComponents

    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
    Downloads: 0 This Week
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  • 3
    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
    Downloads: 0 This Week
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  • 4
    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.
    Downloads: 0 This Week
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  • 5
    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.
    Downloads: 0 This Week
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  • 6
    Tool for backtesting trading strategies.
    Downloads: 0 This Week
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