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Showing 7 open source projects for "financial management"

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  • 1

    TA-Lib.git: Technical Analysis Library

    Mirror of the TA-Lib project using a Git repository

    This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
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    6 Reviews
    Downloads: 10,710 This Week
    Last Update:
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  • 3
    MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.
    Downloads: 0 This Week
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  • 4
    Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.
    Downloads: 0 This Week
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  • 5
    BEE
    The BEE Project is a suite of tools supporting Business Intelligence project implementation including ETL tool and OLAP server and a thin client. The ROLAP server ensures multipass SQL generation and powerful cache management (utilizes MySQL RDBMS).
    Downloads: 0 This Week
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  • 6
    Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.
    1 Review
    Downloads: 0 This Week
    Last Update:
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  • 7
    ai applications,or 'aiapps', is a suite of applications applying algorithms and methods from the domain/field of artificial intelligence, machine learning, evolutionary computation, neural nets etc....to real world problems
    Downloads: 0 This Week
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