QuantConnect VS Aussie Assignment Helper

• 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.

• Subject variety
  Services of this type typically cover a wide range of academic subjects and levels, such as business, nursing, law, IT and engineering, so students can find help for many different assignments in one place.
• Australian focus
  The service is aimed at students in Australia and presents itself as familiar with Australian university requirements, referencing styles and marking expectations, which can make the help feel more relevant.
• Deadline flexibility
  Like most academic help platforms, it advertises quick turnaround and support for tight deadlines, which can help students who are short on time or overloaded with coursework.
• Reference material
  Completed work can serve as a model answer or study guide showing structure, argumentation, research and citation, which may help students learn how to approach similar tasks if used for learning only.
• Customer support access
  The site generally advertises round-the-clock contact options and the ability to request revisions, which can make it easier to ask questions and request changes.

Possible disadvantages

• Academic integrity risk
  Submitting purchased work as your own is typically classed as contract cheating and breaches university policies. Penalties can include failing a unit, suspension or expulsion, and in Australia, promoting or providing such services is illegal under TEQSA-related legislation.
• Inconsistent quality
  Quality depends on the individual writer assigned. Work may be generic, poorly researched or not matched to the specific marking rubric, and the advertised expert credentials are hard to verify independently.
• Plagiarism and detection concerns
  Even when work is described as original, it may reuse existing material or be flagged by tools like Turnitin. Universities are also increasingly using stylistic analysis and viva-style checks to detect outsourced work.
• Cost
  Pricing is usually per page or per word and rises with urgency, academic level and complexity, so it can become costly for students on a budget, and refunds are often limited.
• Privacy and trust issues
  Students share personal details, assignment materials and payment information with a third party, creating risks of data misuse or blackmail. Mixed online reviews and uncertain accountability make it difficult to know how reliable the service is.

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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: about 4 years ago

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Tracking Aussie Assignment Helper since Apr 2022.