Three.js

Website

threejs.org

$ Details

Categories

#Flowcharts #Org Charts #Javascript UI Libraries #Mind Maps

Quantopian

Website

quantopian.com

$ Details

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Categories

#Development #Finance #Tool #Investing

Three.js features and specs

• Ease of Use
  Three.js simplifies the complex task of 3D rendering with an intuitive API, making it accessible to developers who may not have deep expertise in 3D graphics.
• Cross-Browser Compatibility
  Three.js is built upon WebGL, ensuring compatibility across modern browsers, including Chrome, Firefox, Safari, and Edge.
• Comprehensive Documentation
  The library offers extensive documentation, examples, and an active community, which helps in quickly resolving issues and understanding implementation.
• Integration with HTML and CSS
  Three.js can be easily integrated with HTML and CSS, allowing for the blending of 2D and 3D elements in web applications.
• Extensive Features
  It supports a wide range of features including cameras, lights, materials, shaders, and post-processing effects, making it highly versatile for various 3D projects.

Possible disadvantages of Three.js

• Performance Overhead
  Despite its powerful capabilities, Three.js can have significant performance overhead, especially for complex scenes, which might require optimization.
• Learning Curve
  While easier than raw WebGL, Three.js still has a learning curve, particularly for those new to 3D graphics, requiring time to become proficient.
• Limited Built-in Advanced Tools
  Although feature-rich, Three.js lacks some advanced tools out-of-the-box compared to more specialized or industry-standard 3D engines, necessitating custom solutions for certain tasks.
• Dependency on WebGL
  Three.js relies on WebGL, meaning it cannot be used in environments where WebGL is not supported, which can limit accessibility and compatibility.
• Frequent Updates
  The library is actively developed, which is generally positive, but frequent updates can mean breaking changes, requiring developers to frequently refactor their code.

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.

Getting Started With Three.js

More videos:

Algorithmic Trading with Python and Quantopian p. 1

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