Quantopian

Website

quantopian.com

$ Details

-

Categories

#Development #Finance #Tool #Investing

OpenFrameworks

Website

openframeworks.cc

$ Details

Categories

#3D #VJ #Interactive Exhibits #Interactive Presentations

Quantopian features and specs

• Community Collaboration
  Quantopian provided a platform for users to share and collaborate on trading algorithms, enabling users to learn from each other and improve their strategies.
• Access to Data
  Quantopian offered access to a wide range of financial data sets, which allowed users to develop and back-test their algorithms using historical data.
• Comprehensive Development Environment
  It featured an integrated development environment (IDE) with tools for coding, testing, and back-testing trading strategies in Python, which was user-friendly and powerful.
• Educational Resources
  Quantopian provided various educational resources, including lectures, tutorials, and a supportive community forum, which were beneficial for both beginners and experienced traders.
• Competition and Incentives
  Quantopian organized contests that incentivized users to develop successful trading algorithms, with the potential to receive a live trading allocation from the company.

Possible disadvantages of Quantopian

• Shutting Down Services
  Quantopian shut down its retail offering in 2020, which meant that users could no longer use their platform for developing and testing new algorithms.
• Limited Live Trading Options
  Users found limited options for deploying their strategies into live trading. Quantopian allowed this only for algorithms selected for allocation, which reduced accessibility for many users.
• Dependence on Platform
  Users who developed algorithms on Quantopian's platform were heavily dependent on it, and when it shut down, they had to transition to other platforms, which could be challenging.
• Resource Limitations
  There were computational and resource limitations for users, which could restrict the complexity of the algorithms and back-testing users could perform without additional infrastructure.
• Portfolio Selection Process
  The selection process for having algorithms licenced for live trading allocation was competitive and not transparent to many users, which could lead to frustration.

OpenFrameworks features and specs

• Open Source
  OpenFrameworks is open-source, allowing developers to access, modify, and contribute to its codebase. This fosters a community-driven development environment and encourages collaboration.
• Cross-Platform
  It supports multiple platforms, including Windows, macOS, Linux, iOS, and Android, making it versatile for developing applications across various operating systems.
• Rich Collection of Add-ons
  OpenFrameworks offers a wide range of add-ons and libraries contributed by the community, which extend the framework's capabilities and provide tools for graphics, sound, video, computer vision, and more.
• Community Support
  The framework has a robust community that provides support via forums, tutorials, and a wealth of shared projects and code snippets, making it easier to learn and troubleshoot.
• Artistic and Creative Focus
  OpenFrameworks is particularly well-suited for projects that emphasize creativity and artistic output, making it popular among artists and designers working on interactive installations and media art.

Possible disadvantages of OpenFrameworks

• Steep Learning Curve
  While OpenFrameworks is powerful, its complexity can be daunting for beginners, especially those without experience in C++ programming.
• Limited Documentation
  Although there is community support, the official documentation can sometimes be sparse or outdated, which can pose challenges for developers seeking detailed explanations or examples.
• Performance Overhead
  As an abstraction layer over native OpenGL, OpenFrameworks might introduce performance overhead compared to writing raw OpenGL code, which can be a concern for high-performance applications.
• Dependency Management
  Managing dependencies and ensuring compatibility across different platforms can be complex, especially when dealing with various libraries and add-ons.
• Not Ideal for All Types of Applications
  OpenFrameworks is tailored towards creative coding and may not be the best choice for applications that require extensive GUI features or are more business-logic-oriented.

Analysis of OpenFrameworks

Algorithmic Trading with Python and Quantopian p. 1

More videos:

Part 2 of GAFFTA OpenFrameworks for Processing Coders

More videos: