Introduction to Machine Learning for Trading
- Live Trading
- Learning Track
- Prerequisites
- Syllabus
- About author
- Testimonials
- Faqs
Apply ML & AI in Trading
- Use financial markets data for prediction
- Explain the different types of machine learning algorithms in trading
- Describe the different supervised learning models
- Code different supervised machine learning models
- Apply and analyze strategies in the live markets without any installations or downloads

Skills Covered
learning track 4
This course is a part of the Learning Track: Machine Learning & Deep Learning in Trading Beginners
Full Learning Track
These courses are specially curated to help you with end-to-end learning of the subject.
At QuantInsti, our mission is to make algorithmic trading knowledge and technology accessible to everyone. Our vision is to empower individuals and institutions, enabling them to harness cutting-edge technology in financial markets, fostering growth and success. We offer comprehensive learning tracks, free fintech tools, hundreds of engaging webinars, and a vast repository of over 500 insightful blogs designed to equip aspiring traders with essential skills and resources.
For over 14 years, we've actively contributed as speakers and industry experts at academic and professional forums globally, helping shape the future of algorithmic trading. This free course exemplifies our commitment to accessibility and empowerment, helping you take your first step into the ever-evolving world of algorithmic trading. We appreciate you joining us on this exciting journey. Happy Learning!
Course Features
- Community
Faculty Support on Community
- Interactive Coding Exercises
Interactive Coding Practice
- Trade & Learn Together
Trade and Learn Together
- Get Certified
Get Certified
Prerequisites
You should be curious about the application of machine learning and artificial intelligence in algorithmic trading. No prior skills or experience are necessary. You can do this course even if you have never traded before or do not have any programming background. To replicate the sample trading strategy shared, you might need to display some code-reading skills.
Machine Learning for Trading Course
- IntroductionThis section introduces the topic of machine learning and goes on to explain where it can be applied. You will be guided through the detailed course structure and the various concepts covered in the course. You will also explore various features that are available to you on Quantra.Welcome to Machine Learning!Course StructureCourse Learning OutcomesQuantra Features and Guidance
- Machine Learning
- Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Predict Trend Using Classification
- Live Trading on Blueshift
- Live Trading Template
- Natural Language Processing
- Data & Feature Engineering
- Introduction to Generative AI
- Run Codes Locally on Your Machine
- Summary
Why quantra®?
- More in Less Time
Gain more in less time
- Expert Faculty
Get taught by practitioners
- Self-paced
Learn at your own pace
- Data & Strategy Models
Get data & strategy models to practice on your own
Faqs
- When will I have access to the course content, including videos and strategies?
You will gain access to the entire course content including videos and strategies, as soon as you complete the payment and successfully enroll in the course.
- Will I get a certificate at the completion of the course?
- Are there any webinars, live or classroom sessions available in the course?
- Is there any support available after I purchase the course?
- What are the system requirements to do this course?
- What is the admission criteria?
- Is there a refund available?
- Is the course downloadable?
- Can the python strategies provided in the course be immediately used for trading?
- I want to develop my own algorithmic trading strategy. Can I use a Quantra course notebook for the same?
- If I plug in the Quantra code to my trading system, am I sure to make money?
- What does "lifetime access" mean?