Udemy – Multi-Strategy Quant Systems – Algorithmic Trading in Python 2022-2 – Download

Explanation

Multi-Tertegy Quant Strategy Systems – Algorithmic Trading in Python, Since this is not a Python tutorial, we get right to trading and take a no-nonsense coding approach. It is recommended that you reduce the speed of the course according to your needs. Although only 7 hours of lectures have been cleared, the content is heavy. It is a walkthrough with no introductory explanations – as there are no explanations in the lesson flow, all students are expected to be hands-on and actively participate by asking questions; which we will collect in the Questions section.

The code can be downloaded from Tutorials Point. Implement a Quantitative Quantitative Strategy in Python from scratch, learning how to build robust models for implementing alpha signals and capital allocation. Learn about industry standards for risk management, such as plans to target change and technical diversity. An algorithmic trading system with modular systems to integrate multiple brokers and switch in a matter of seconds, all with the same code.

What will you learn?

Implementing Multi-Strategy Statistics with Python
Build a Modular Business Model as modules can be changed to business preferences
Code implementation of data pipeline, alpha research, alpha strats, portfolio allocation and delivery order
Integrate multiple brokers with a single code base
Control multiple alpha signals to create unified signals, and learn industry risk management methods

Who is this course for?

This course is intended for traders and programmers looking to implement quantitative portfolio strategies for research or trading purposes other than HFT.
Algorithmic traders who want to get a professional setup to integrate their strategies into a very complex structure for cutting returns.