QuantConnect VS See Electrical

• 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.

• User-Friendly Interface
  SEE Electrical provides an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced users in electrical design.
• Comprehensive Features
  Offers a wide range of tools and functionalities specifically tailored for electrical engineering projects, including schematic design, panel design, and cable management.
• Customizable Libraries
  Users can customize and expand the component libraries, allowing for efficient and personalized project management.
• Integration Capabilities
  Easily integrates with other software tools and platforms, facilitating data exchange and collaboration across different teams and systems.
• Modular Design
  Offers modular packages and scalable solutions, enabling users to choose specific modules that meet their project needs and budget.

Possible disadvantages

• Cost
  The software can be expensive, particularly for small businesses or individual users who may find the pricing structure prohibitive.
• Learning Curve
  Despite its user-friendly interface, some users may encounter a steep learning curve, especially if they are new to electrical design software.
• Resource Intensive
  Requires significant computing resources, which can slow down performance on lower-end machines.
• Limited Trial Version
  The trial version has limited features, which may not provide users with a comprehensive understanding of the software's full capabilities.
• Support and Documentation
  Some users report that the official support and documentation are not as comprehensive or responsive as desired, leading to potential delays in troubleshooting.

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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: about 4 years ago

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Tracking See Electrical since Mar 2021.