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 SR University
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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%
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
- Financial Forecasting
- Technical Analysis
- Machine Learning Methods
- Securities Trading
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Google Cloud Platform
- Financial Trading
- Predictive Modeling
- Artificial Neural Networks
- Machine Learning
- Supervised Learning
- Time Series Analysis and Forecasting
- Finance
- Applied Machine Learning
- Model Evaluation
- Statistical Machine Learning
- Machine Learning Algorithms
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
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
MA
Reviewed on Dec 25, 2019
Would be nice to have some extra step at the end of the lad to actually build a trading strategy instead of stopping at the fitting of the model
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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