Description
Multi-Strategy Quant Systems – Algorithmic Trading in Python, Algorithmic Trading in Python with Multi-Strategy Quant Systems is published by Udemy Academy. Since this is not a Python tutorial, we’ll get down to business and take a straightforward coding approach. It is recommended that you take this course at your own pace. Even if there are only 7 hours of lectures, the material inside is quite heavy. This is not an introductory course
From data pipelines to order management, you’ll watch a live recording of implementing a non-HFT trading system in Python. You learn how to build resilient and flexible modular systems and a professional layout for adaptation and improvement. You implement a multi-strategy quantitative system in Python from scratch. And at the same time learn how to build robust frameworks for implementing alpha signals and capital allocation. You will learn the standards in risk management such as volatility targeting schemes and technical diversification. You code an algorithmic trading system with modular approaches to integrate with multiple brokers and switch between them in seconds.
What you will learn
- Implementing quantitative multi-strategy portfolios with Python
- Building a modular trade system so that the components can be changed according to trade preferences
- Code execution for data pipelines, alpha research, alpha layers, portfolio allocation and order submission
- Integration with multiple brokers with a single code base
- Control multiple alpha signals to create integrated signals and learn standard risk management techniques
Who is this course suitable for?
- This course is for traders and programmers looking to implement multi-strategy quantitative portfolios for research or trading purposes in the non-HFT space.
- For algorithmic traders who want a more professional setup to integrate their strategies into more robust frameworks for quick profit harvesting.
Multi-Strategy Quant Systems – Algorithmic Trading in Python course specifications
- Publisher: Udemy
- teacher : Hanguk Quant
- English language
- Education level: Intermediate
- Number of courses: 50
- Training duration: 6 hours and 58 minutes
Chapters of the course Multi-Strategy Quant Systems – Algorithmic Trading in Python
Course prerequisites
- Basic Financial/Quantitative Literacy is expected.
- Programming methodology (not necessarily in Python) is expected for coding in Python.
- Ability to self-learn and understand documentation and code is expected.
- Knowledge of tech stacks is NOT expected, basic software will be used.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.71 GB
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