[ FreeCourseWeb ] Udemy - Multi-Strategy Investing with Python and Excel torrent

[ FreeCourseWeb.com ] Multi-Strategy Investing with Python and Excel

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 51 lectures (5h 3m) | Size: 1.45 GB
Multi-Strategy Investing - Multi-Strat Efficient Frontier in Python, Portfolio Management and Rebalancing Tool in Excel
What you'll learn:
Learn how to install Anaconda and use Jupyter Notebook which is a web-based environment for Python
Learn how to execute Python codes in Jupyter Notebook
Learn about variables and data types in Python
Learn the basic data structures used within Python
Learn how to import Python libraries
Learn how to extract data from Internet sources
Learn how to create the opportunity space and efficient frontier for both a multi-asset and a multi-strategy portfolio
Learn how to plot and compare the opportunity spaces on the same chart using Python
Learn how to aggregate performance data from the individual strategies onto the multi-strategy model excel file
Learn how to track the performance of the multi-strategy portfolio against its component strategies
Learn how to rebalance across the strategies
Learn how to operate the multi-strategy file and how it interacts with the individual strategy files

Requirements
A basic appreciation of computer language and syntax, but not compulsory
Preferably have completed the Finance Fundamentals for Building an Investment Portfolio course
Strongly recommended to have completed at least two of our Investment Strategy Quantitative Modeling courses
For the Excel part of the course, we assume that you have already acquired basic financial knowledge and Excel skills taught in our Investment Strategy Quantitative Modeling courses

Description
Do you know that professional money managers have been generating consistent profits every year using a multi-strategy approach?

Have you ever wondered why a multi-strategy portfolio is better than a traditional multi-asset portfolio?

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