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Showing 2 open source projects for "algorithmic trading python"

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  • Eurekos LMS - Build a Smarter Customer Icon
    Eurekos LMS - Build a Smarter Customer

    The Eurekos customer training LMS makes it easy to deliver product training that retains more customers and transforms partners into advocates.

    Eurekos is a purpose-built LMS that engages customers throughout the entire learning journey from pre-sales, to onboarding, and everything after.
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  • Easily build robust connections between Salesforce and any platform Icon
    Easily build robust connections between Salesforce and any platform

    We help companies using Salesforce connect their data with a no-code Salesforce-native solution.

    Like having Postman inside Salesforce! Declarative Webhooks allows users to quickly and easily configure bi-directional integrations between Salesforce and external systems using a point-and-click interface. No coding is required, making it a fast and efficient and as a native solution, Declarative Webhooks seamlessly integrates with Salesforce platform features such as Flow, Process Builder, and Apex. You can also leverage the AI Integration Agent feature to automatically build your integration templates by providing it with links to API documentation.
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    Elements of Programming Interviews

    Elements of Programming Interviews

    Method stubs and test cases for Elements of Programming Interviews

    This repository contains method stubs and tests of the problems from Elements Of Programming Interviews by Adnan Aziz, Tsung-Hsien Lee, and Amit Prakash. This book is also available in Python and C++. This repository contains solutions to problems from the book "Elements of Programming Interviews," focusing on interview preparation and algorithm practice.
    Downloads: 1 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
    1 Review
    Downloads: 0 This Week
    Last Update:
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