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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68,051 already enrolled
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%
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
- Cloud Platforms
- Machine Learning
- Securities Trading
- Machine Learning Algorithms
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Finance
- Financial Forecasting
- Time Series Analysis and Forecasting
- Google Cloud Platform
- Technical Analysis
- Statistical Machine Learning
- Financial Trading
- Artificial Neural Networks
- Predictive Modeling
- Deep Learning
- Supervised Learning
- Model Evaluation
- Machine Learning Methods
Tools you'll learn
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 897
GM
Reviewed on Feb 1, 2020
Giving 4 stars as there were some technical problems with AI Platform in week 3 and could not access the lab work, which is pretty disappointing.
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
LU
Reviewed on Jul 10, 2024
Not as prominent or important as the Finance specialization but important factor more so in the lifestyle factor of classification and could be useful to other fortune 500 companies.
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