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UdemyMachine-learningPaid courseIntermediate levelCertificate

Applied Machine Learning with R (Trading Use Case) - 2020 (Udemy.com)

Learn the complete quantitative finance workflow and use machine learning algorithms in R to develop trading strategies

3.9
82 reviews

Created by: The Trading Whisperer

Last updated February 2020

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Course Description

The course is designed to fully immerse you into the complete quantitative trading/finance workflow, going from hypothesis generation to data preparation, feature engineering and training testing of multiple machine learning algorithms (backtesting). It is a bootcamp designed to get you from zero to hero. The course is aimed at teaching about trading, giving you understanding of the differences between discretionary and quantitative trading. You will learning about different trading instruments/products or also known as asset classes. Course elements:
  • Learn about trading and the quantitative trading workflow. Develop a solid understand of what is required to do quantitative trading analysis and the advantages and disadvantages.
  • Learn how to write simple and complex codes in r with some r refresher lecture. Learn how to use the quantmod package to access/load free market data from yahoo finance and other sources.
  • Learn how to download futures data from NinjaTrader. Load the data in R and do data preparation and visualization.
  • Explore various trading ideas/hypothesis on the web, and learn how to generate original trading ideas.
  • Learn and understand what machine learning is and get a good grip of the type of machine learning algorithms available to solve different type of problems ( namely classification and regression problems).
  • Code along while learning about feature engineering, write algorithms for training and testing support vector machine, naAve bayes and random forest models and use these to predict the next price direction of crude oil futures. Realize that these strategies can be used for other trading instruments/products.
  • Compare the model performance and do portfolio selection by only selecting the non correlated models.
Disclaimer This course is for educational purpose and does not constitute trading or investment advice. All content, teaching material and codes are presented with sharing and learning purpose and with no guarantee of exactness or completeness. No past performance is indicative of future performance and the trading strategies presented here are based on hypothetical and historical backtesting. Trading futures, forex and options involves the risk of loss. Please consider carefully if trading is appropriate to your financial situation. Only risk capital you can afford to lose, and the risk of loss being substantial, you should consider carefully the inherent risks.Who this course is for:
  • Investment professionals interested to learn to apply classification-based machine learning techniques to investing and trading strategies
  • Amateur traders and semi-professional quants looking for original innovative trading and quantitative finance ideas
  • Data scientist and enthusiasts interested in different machine learning use cases
  • Experienced and beginner R users interested in quantitative analysis/trading using R
  • anyone looking for how machine learning can be applied into investing
Read More Intermediate Intermediate Level product length iconTime: 5.3h

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Instructor Details

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Data scientist and passionate about the financial market. I have been trading for the last 3 years with very good results in the last 2 years. I have shifted mainly from a discretionary to a more quantitative trader. I used my skills in machine learning to generate reliable and profitable trading strategies.

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Reviews

3.9

82 ratings on Udemy

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By Isioma

I like the detailed explanations, content is easy to understand. So far,one of the best courses on Trading using R

Well done!

By Khadar Hassan

So far so good. I really love the course and the content was really great. The author is knowledgeable and he explains every things clearly and crisp.

By Vasilis Giagkoulas

Great mix of technical details and applied knowledge.

Easy to follow and to replicate, offering comprehensive additional notes, materials and literature.

Excellent value for money.

By Todun

This is a great course, well done Arsene. The content is clear and shows you how to develop a quantitative trading strategy with machine learning. Great for anyone trying to learn something new.

By Khaw Kar Hwah

it is simple and clear

By LvanG

Easy to follow step by step learning how to implement a trading strategy in R

By shilpi C Bhadra

yes

By Jonathan Ng

The ability to leverage the experience of someone who has had hands-on experience applying machine learning to a specific problem such as trading is extremely valuable.

This is great down to earth training that gets straight to the point without any hype.

By David Bayerl

A great introduction to market applications for machine learning. Looking forward to participating in the deep learning course in the future.

Only complaint is that it would of been nice to have a code along for hyper parameter tuning on the models proposed. But an external resource was mentioned to help guide through this process.

By Warren Hansen

E X C E L L E N T instructor! I've taken many machine learning for trading courses. Every one I can find really and this is the best by far. I know python but haven't worked very much in R. It's very helpful in analyzing trade set ups. I will use what I learned here to set up my work much quicker.

By Georgi Popov

Good course.

By Matt K

This is such a great course. It efficiently teaches you applicable machine learning which is great if you are stretched for time.

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Overall Score : 78 / 100

Applied Machine Learning with R (Trading Use Case) - 2020
Visit course on Udemy Write a review
  • Video Duration: icon 5.3h
  • Price: $54.99
  • Provider: icon Udemy
  • Updated: icon February 2020
  • Level: Intermediate Intermediate
  • Language: icon English
  • Certificate: icon Yes
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