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 L&T Corp - ATLNext
68,168 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
- Artificial Neural Networks
- Google Cloud Platform
- Machine Learning Methods
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Financial Forecasting
- Statistical Machine Learning
- Financial Trading
- Applied Machine Learning
- Machine Learning
- Cloud Platforms
- Securities Trading
- Technical Analysis
- Supervised Learning
- Machine Learning Algorithms
- Finance
- Time Series Analysis and Forecasting
- Predictive Modeling
- Model Evaluation
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
ML
Reviewed on Jul 13, 2021
Even are more basic knowledge of Trading and ML, still with specific data relative Trading and finance, Great!
SV
Reviewed on Jan 18, 2022
Good material... Assignment are very helpful. Flow is bit choppy specially for ML parts. It switches from simple to advance topic rather randomly.
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.
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