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 - for discussion in Community
- YouTube - for short videos on the Qlib and Framework
- Telegram - for quick discussion
- Substack - for Blog Posts
- 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.