Welcome to Quant Journey with Code

Explore the world of quantitative trading with Python

Dive into our in-depth blog series, guiding both beginners and experienced coders through the fascinating realm of quantitative trading.

Key Features

  • Diverse Coding Techniques: From basic scripting to advanced object-oriented programming in Python.
  • Custom Algorithm Development: Build tailored algorithms based on your trading preferences and risk tolerance.
  • Risk Management: Essential techniques to manage losses and enhance gains.
  • Backtesting and Optimization: Test and optimize your strategies with historical data.
  • Real-World Case Studies: Apply what you learn to real trading scenarios.
  • Community Support: Engage with a community of like-minded quant traders.

Code

The full code is available in a private GitHub repository, accessible to paid subscribers of the Quant Journey with Code blog. To gain access, please subscribe on Substack.

Reach us at

  • Discord Discord - for discussion in Community
  • YouTube YouTube - for short videos on the Qlib and Framework
  • Telegram Telegram - for quick discussion
  • Substack Substack - for Blog Posts
  • GitHub GitHub - Code Trading Framework (paid users)

Get Started

You can watch videos for most of the installation on our YouTube channel.

Or read how to start in our Installation Guide.