Showing 3 open source projects for "python code editor"

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  • B2i offers full-service IR websites, widgets and plugins Icon
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    Built for IR professionals who work for, or support public companies

    B2i Technologies provides the most robust and versatile tools to manage your Corporate website, Investor Relations website and email communications. Our Investor Relations Software solutions work through automation and implements into existing systems with ease in only a few steps. Our solutions not only help you stay compliant but save valuable time while reporting and delivering critical financial data and press release activities to investors. B2i's Investor Relations Solution provides highly reliable and customizable data for corporate websites including press releases, stock data, charting, and SEC filings within SOX compliance standards. Our investor relations software displays real-time data on your website without requiring additional work on your behalf. Once you have completed your filings and press releases they are automatically loaded onto your website and formatted for easy access.
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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
    QuickFIX
    QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
    Downloads: 16 This Week
    Last Update:
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  • 3
    PortOpt

    PortOpt

    A portfolio-optimizer using Markowitz(1952) mean-variance model

    PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference.
    Downloads: 0 This Week
    Last Update:
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