Quant Trading Using Machine Learning

Quant Trading Using Machine Learning

1 Review
972 Enrolled
11 Hours
You save 84%
Quant Trading Using Machine Learning

64 Lessons (11h)

  • You, This Course and Us
  • Setting up your Development Environment
  • Introduction to Quant Trading
  • Developing Trading Strategies in Excel
  • Setting up a Price Database
  • Decision Trees, Ensemble Learning and Random Forests
  • A Trading Strategy as Machine Learning Classification
  • Feature Engineering
  • Engineering a Complex Feature - A Categorical Variable with Past Trends
  • Building a Machine Learning Classifier in Python
  • Nearest Neighbors Classifier
  • Gradient Boosted Trees
DescriptionInstructorImportant DetailsReviewsRelated Products

Play the Markets Like a Pro After 11 Hours of Integrating Machine Learning into Your Investment Strategies



Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.


Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you'll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

  • Access 64 lectures & 11 hours of content 24/7
  • Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting
  • Discover machine learning principles like decision trees, ensemble learning, random forests & more
  • Set up a historical price database in MySQL using Python
  • Learn Python libraries like Pandas, Scikit-Learn, XGBoost & Hyperopt
  • Access source code any time as a continuing resource
All featured courses are designed for educational purposes only and do not reflect our views or recommendations. Please note that all course purchasers invest at their own risk.


Important Details

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but working knowledge of Python would be helpful


  • Internet required


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
1 Review
3/ 5
All reviews are from verified purchasers collected after purchase.

Reginald Williams

Verified Buyer

Informative. Looking forward to more in depth info. Content is quite teasing and keeps me yearning for more

May 20, 2020
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