Showing 4 open source projects for "database management systems"

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    Barter

    Barter

    Open-source Rust framework for building event-driven systems

    Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data structures. ...
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    EliteQuant

    EliteQuant

    A list of online resources for quantitative modeling, trading, etc.

    EliteQuant is a curated directory of online resources for quantitative finance: trading, portfolio management, quantitative modeling, data sources, libraries, platforms, and communities. It is not a software library per se, but a “list of things” - i.e., an aggregator of open source projects, blogs, tools etc., intended to help practitioners find useful resources. It is licensed under Apache-2.0, and maintained by volunteers. A list of online resources for quantitative modeling, trading, and...
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  • 3
    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...
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  • 4
    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.
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