Intro to Quant Algorithms w/ R & Alphien

Become an entry level trader today!
Free tutorial
Rating: 2.8 out of 5 (19 ratings)
4,712 students
54min of on-demand video
English [Auto]

Get introduced to Alphien's Python Notebook Environment
Learn how to do entry level Quant Trading algorithms
Look at various sample trading strategies
Learn how to backtest a strategy and submit it for paper trading


  • Some general programming knowledge is recommended but not required


Alphien SAS has a variety of tools such as notebooks and data explorers that people can use for developing custom quant trading algorithms. This course will introduce you to some of these tools, as well as inform you on how to make you own trading strategies, backtesting, and things you can do that will help you become an entry level quant trader.

Who this course is for:

  • Anybody wanting to become a Quant Trader or current traders wanting to learn about a new tool


Founder of Mentors4EDU
Andrew Magdy Kamal
  • 3.6 Instructor Rating
  • 2,582 Reviews
  • 116,248 Students
  • 30 Courses

Andrew Magdy Kamal is an app developer who have reached millions of downloads, leading him to start a startup known as AndSocialREW Gaming and Publishing. Andrew currently has his expertise in Theoretical Physics, Product Design, Computer Science, and Mathematical Computation. He is also known for having developed products such as the Mixed Reality Suit, and apps such as "Minefense". His ingenuity have not stopped there, as he holds many world records in his place for his accomplishments as well as intellectual property. One of the things Andrew hopes to do is share his knowledge with others.  He wants to get other people to have a sense of charisma when learning this type of content. He is here on Udemy to teach some of the stuff that he learned and help people begin to gain knowledge about the industry. 

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