In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.
Introduction to Trading, Machine Learning & GCP
Introduction to Trading, Machine Learning & GCP
This course is part of Machine Learning for Trading Specialization
Instructor: Jack Farmer
Access provided by University of Nebraska Lincoln
69,775 already enrolled
Gain insight into a topic and learn the fundamentals.
898 reviews
Intermediate level
Recommended experience
Flexible schedule
5 hours to complete
Learn at your own pace
85%
Most learners liked this course
What you'll learn
Understand the fundamentals of trading, including the concepts of trend, returns, stop-loss, and volatility.
Define quantitative trading and the main types of quantitative trading strategies.
Understand the basic steps in exchange arbitrage, statistical arbitrage, and index arbitrage.
Understand the application of machine learning to financial use cases.
Skills you'll gain
- Machine Learning Algorithms
- Time Series Analysis and Forecasting
- Machine Learning Software
- Supervised Learning
- Finance
- Model Optimization
- Artificial Intelligence and Machine Learning (AI/ML)
- Google Cloud Platform
- Artificial Neural Networks
- Model Evaluation
- Deep Learning
- Statistical Machine Learning
- Financial Trading
- Securities Trading
- Cloud Platforms
- Applied Machine Learning
- Machine Learning Methods
- Model Training
- Machine Learning
- Technical Analysis
Details to know
Shareable certificate
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Assessments
8 assignments
Taught in English
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This course is part of the Machine Learning for Trading Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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Showing 3 of 898
RR
Reviewed on Feb 2, 2021
Exactly what I was looking for and at the adequate level. I'm a trader and a machine learning developer, and this course helped me in both topics
IP
Reviewed on Jul 8, 2021
Great introductory course to give you the taste of what lies ahead. Not a stand alone, as does not provide sufficient knowledge to build DNN on financial data.
AJ
Reviewed on May 1, 2020
This is a very good course because it tuned my already forecasting knowledge to look more into machine learning
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