QuantConnect VS Progress OpenEdge

• Comprehensive Data Access
  QuantConnect provides access to a wide range of financial data which is crucial for developing and testing trading algorithms. This includes equities, futures, FOREX, and cryptocurrencies, which allows users to backtest strategies with historical data.
• Cloud-Based Development
  The platform is cloud-based, which means users can access their projects from anywhere and don't need to worry about the computational resources required for large backtesting tasks. This also facilitates easy collaboration.
• Wide Language Support
  QuantConnect supports multiple programming languages including C#, Python, and F#. This allows developers to choose from different languages they are comfortable with while coding algorithms.
• Lean Algorithm Framework
  The open-source Lean Algorithm Framework is at the core of QuantConnect, providing a robust and flexible foundation for algorithmic trading strategies which can be customized to meet specific needs.
• Community and Collaboration
  QuantConnect has an active community where users can share ideas, collaborate on projects, and seek help from others which enhances learning and innovation.

Possible disadvantages

• Complexity for Beginners
  The platform may be overwhelming for beginners due to the vast array of features and the requirement for programming skills, which can be a steep learning curve for some users.
• Pricing Structure
  While QuantConnect offers free access with certain limitations, advanced features and higher data allowances come at a cost. This pricing may be a barrier for casual or small-scale users.
• Limited Asset Classes for Free Users
  Free users may face limitations in terms of the number of asset classes and data sources available, which could restrict the range of strategies they are able to develop and test.
• Dependence on Internet Connection
  As a cloud-based platform, an active internet connection is required to develop and execute algorithms, which could be a problem for users with unreliable internet access.
• Execution Latency
  Running algorithms on a cloud platform might introduce latency issues which can be a disadvantage if executing strategies that require ultra-low latency transaction speeds.

• Robust Database System
  Progress OpenEdge provides a reliable and high-performance database management system that is well-suited for handling large volumes of data efficiently.
• Multi-Language Support
  OpenEdge supports development in multiple languages including ABL (Advanced Business Language), Java, .NET, and more, providing versatility in application development.
• Scalability
  The platform offers excellent scalability, making it suitable for businesses of all sizes, from small enterprises to large corporations.
• Strong Security Features
  OpenEdge includes robust security measures such as strong authentication, auditing, and data encryption to help protect sensitive data.
• Rapid Application Development
  With tools like OpenEdge Developer Studio, developers can quickly create, test, and deploy applications, which accelerates the development process.

Possible disadvantages

• Licensing Costs
  The cost of licensing for Progress OpenEdge can be high, which might not be affordable for small businesses or startups.
• Complexity in Learning ABL
  ABL, though powerful, can have a steep learning curve for developers unfamiliar with it, potentially increasing the time and cost of training.
• Limited Third-Party Integrations
  While OpenEdge is comprehensive, it may offer limited compatibility with certain third-party tools and services compared to more mainstream technologies.
• Legacy System Migration Challenges
  Businesses wanting to migrate from legacy systems to OpenEdge might face challenges, including data conversion and system compatibility issues.
• Community Support
  Compared to more widely used technologies, there might be a smaller community, resulting in fewer resources for troubleshooting and skill development.

Difference between Quantopian Quantiacs Quantconnect

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  QuantConnect is a quantitative trading platform where you can develop algorithms in Python. It’s gaining popularity for its collaborative environment and large data library that supports backtesting and live trading....

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• I'm a dev, we're in 2023, what should i start with ?

  I use https://quantconnect.com/ to backtest new algos and discover new algos. They support C# and python. Source: over 3 years ago

• Where can I Learn OOP for trading in python? I’ve been looking for some information, but I didn’t find anything, any help?

  Use quantconnect.com, their API forces you to use OOP there so it's a good practice. Source: about 4 years ago

• Backtesting tools

  For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: over 4 years ago

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Tracking Progress OpenEdge since Mar 2021.