Showing 6 open source projects for "quantum,java"

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  • 1
    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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  • 2

    LXTrader

    C# algorithmic trading platform

    This project is no longer supported. It is redesigned and upgraded to AlgoSpace, a C++ based extreme fast algorithmic trading platform with lots of cool features. LXTrader (formerly AlgoTrader) is a free algorithmic trading platform programmed in C#. It aim to help traders design/test/optimize your automatic trading strategies with ultra speed. It is developed by Ranye Lu and Yu Xia.
    Downloads: 1 This Week
    Last Update:
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  • 3
    A suite of libraries and applications using genetic algorithms and AI for financial analysis and simulation. Currently the focus is to route FIX messages to an exchange simulator and use genetic algorithms to explore algorithmic trading strategies.
    Downloads: 0 This Week
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  • 4
    Algorithmic Trading implementation
    Downloads: 1 This Week
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  • 5
    The Marketcetera Trading Platform is a comprehensive open-source software infrastructure for algorithmic trading, that is a true alternative to expensive, monolithic proprietary systems or brittle software mashups.
    Downloads: 0 This Week
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  • 6
    An open source initiative for developing a scalable, high-speed trading desk. The Open Trading Desk will support trading in a variety of markets, to include: equities, options, mutual funds and ETFs, Forex, Bonds and Algorithmic trading.
    Downloads: 0 This Week
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