QuantConnect Boot Camp in Python
Learn how to design your own algorithms in python for quantitative trading.
What You’ll Learn
- Working with financial and alternative data
- Implementing trading strategies
- QuantConnect’s API
- Robust algorithm design
Requirements
- A good working knowledge of python is required.
Description
In QuantConnect’s Boot Camp tutorial series you’ll learn the tools for quantitative trading. You’ll build skills in finance, statistics, and software development while learning about QuantConnect’s API with code-along tasks. After this course, you’ll be able to implement your own trading strategies in python and have a foundation in robust algorithm design.
We’ll start out with the fundamentals for individual algorithm creation and move on to building an institutional-grade system using the Algorithm Framework. You’ll be able to use its architecture to deploy your own flexible investment strategies.
In each lesson, we’ll code together on QuantConnect’s integrated development environment to create algorithms that you can backtest and use. You’ll manage your portfolio, use indicators in technical trading strategies, trade on universes of assets, automate trades based on market behavior, and understand how data moves in and out of your algorithm.
QuantConnect is one of the largest quantitative trading communities in the world. Part of what makes it so special is the diverse backgrounds in the community. We’re so excited to make these skills accessible to you so you can implement your own unique ideas. Hope to see you in the first lesson!
Who this course is for
- Python developers who want to build trading algorithms.
