Quant Trading using Machine Learning
Self-Paced LearningLearning Style
10 HoursCourse Duration
|BUY INDIVIDUALLY||BUY AS SUBSCRIPTION|
About Individual Course:
Now Only $10.00 Regular Price $49.00
Now Only $10.00 Regular Price $49.00/ Each
When you subscribe, you get:
Learn Subscription Plan gives you access to this course, PLUS:
Now Only $14.99 Regular Price $24.99
Now Only $14.99 Regular Price $24.99/ Month
Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.
This course takes a completely practical approach to applying Machine Learning techniques to Quant Trading
Let’s parse that.
Completely Practical: This course has just enough theory to get you started with both Quant Trading and Machine Learning. The focus is on practically applying ML techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL to writing hundreds of lines of Python code, the focus is on doing from the get go.
Machine Learning Techniques: We'll cover a variety of machine learning techniques, from K-Nearest Neighbors and Decision Trees to pretty advanced techniques like Random Forests and Gradient Boosted Classifiers. But, in practice Machine Learning is not just about the algorithms. Feature Engineering, Parameter Tuning, Avoiding overfitting; these are all a part and parcel of developing Machine Learning applications and we do it all in this course.
Quant Trading: Quant Trading is a perfect example of an area where the use of Machine Learning leads to a step change in the quality of the models used. Traditional models often depend on Excel and building sophisticated models requires a huge amount of manual effort and domain knowledge. Machine Learning libraries available today allow you to build highly sophisticated models that give you much better performance with much less effort.
Quant Trading : Financial Markets, Stocks, Indices, Futures, Return, Risk, Sharpe Ratio, Momentum Investing, Mean Reversion, Developing trading strategies using Excel, Backtesting
Machine Learning: Decision Trees, Ensemble Learning, Random Forests, Gradient Boosted Classifiers, Nearest Neighbors, Feature engineering, Overfitting, Parameter Tuning
MySQL: Set up a historical price database in MySQL using Python.
Python Libraries : Pandas, Scikit-Learn, XGBoost, Hyperopt
- Quant traders who have not used Machine learning techniques before to develop trading strategies
- Analytics professionals, modelers, big data professionals who want to get hands-on experience with Machine Learning
- Anyone who is interested in Machine Learning and wants to learn through a practical, project-based approach
Prerequisites: Working knowledge of Python is necessary if you want to run the source code that is provided. Basic knowledge of machine learning, especially ML classification techniques, would be helpful but it's not mandatory.
Self-Paced Learning Outline
- You, This Course and Us
- Developing Trading Strategies in Excel
- Setting up your Development Environment
- 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
- Introduction to Quant Trading
|Learning Style||Self-Paced Learning|
|Course Duration||10 Hours|
|VPA Discount||VPA Discount|
Frequently Asked Questions About Virtual Instructor-Led Courses
I can't connect to my class, what are my options?
The link to the class is available upon logging in to your dashboard. If you are unable to see it, please contact our support team at 1-855-800-8240 and they will be happy to provide you the direct link via email or the dial in number.
I can't make it to attend to class. Can I reschedule?
Yes, you can reschedule your class. Please contact your Sales representative and they will arrange this for you. If you forgot his/her name, feel free to contact our support team at email@example.com or 1-855-800-8240.
Will I get my certificate upon completion?
Yes. Upon completion of the course, it will be available on your course as a Trophy Icon for you to download. If you do not see this, you will need to contact firstname.lastname@example.org with the following details so they can email you the certificate: Class Name, Class Date, Account Rep, and Your Email.
I cannot connect to my lab. Help!
Your Lab is accessible on the bottom part of your course. You will see a button that says "LAB". Just click it to launch the lab. Please note that some classes don’t need/require a LAB. You can verify with our support team by calling them at 1-855-800-8240 or by email at email@example.com. You can also check with your Instructor or the Associate Instructor if your class includes one.
What is my access code for Skillpipe?
A. Not all of the classes have or require Skillpipe. If your class includes one, please check your email as you should have received one from firstname.lastname@example.org. In case you do not find it in your inbox, please check the Spam / Junk folder. For any further assistance, you can call the support at 1-855-800-8240 or contact them via email at email@example.com.
I don't have audio. I can't hear the instructor.
Make sure you are using a compatible headset for your laptop or computer. If you don’t have a headset, you can use the built-in speaker of your laptop. Otherwise, you can use the dial in option by calling the dial in number provided in the class joining email. You may also contact support team for the dial in numbers associated for your training at 1-855-800-8240 or contact them via email at firstname.lastname@example.org.
How can I reach student support?
Support can be reach via phone at 1855-800-8240; via email at email@example.com or via chat support through the chat button on our website. Please note that support office hours will be from 8am-5pm CST Monday to Friday. Any concerns after office hours will be attended the following business day.
Get A Team Quote or Got Questions?
Turn Training Into A Personalized Learning Experience
- Problem Solving through ExpertConnect & Peer-To-Peer Learning
- Find The Quickest Path To Learn With Career Paths
- Access All Courses With Master Subscription
- Manage Your Team With Learning Analytics
- Virtual Classroom Training & Self-Paced Learning
- Integrate With Your LMS Through API's