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
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Gain insight into a topic and learn the fundamentals.
897 reviews
Intermediate level
Recommended experience
Flexible schedule
5 hours to complete
Learn at your own pace
85%
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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
- Model Evaluation
- Machine Learning Algorithms
- Time Series Analysis and Forecasting
- Google Cloud Platform
- Financial Trading
- Supervised Learning
- Technical Analysis
- Deep Learning
- Financial Forecasting
- Statistical Machine Learning
- Machine Learning Methods
- Securities Trading
- Finance
- Cloud Platforms
- Machine Learning
- Applied Machine Learning
- Predictive Modeling
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Neural Networks
Tools you'll learn
Details to know
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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 897
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.
LA
Reviewed on Jun 2, 2020
Good introduction to quant theory and ML, labs could be a lot better though, they lack proper explanations and don't cover some of the basics necessary to complete them.
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
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