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.
Ce cours fait partie de la Spécialisation Machine Learning for Trading
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À propos de ce cours
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
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Essayez Coursera pour les affairesCe que vous allez apprendre
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.
Compétences que vous acquerrez
- Finance
- Trading
- Investment
- Machine Learning applied to Finance
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesProgramme de cours : ce que vous apprendrez dans ce cours
Introduction to Trading with Machine Learning on Google Cloud
Supervised Learning with BigQuery ML
Time Series and ARIMA Modeling
Introduction to Neural Networks and Deep Learning
Avis
- 5 stars44,18 %
- 4 stars30,23 %
- 3 stars14,47 %
- 2 stars4,39 %
- 1 star6,71 %
Meilleurs avis pour INTRODUCTION TO TRADING, MACHINE LEARNING & GCP
Excellent! But, I am missing some of the prerequisites since I just wanted to take a chance and try things out, but feel like proceeding further might lead to some stumbling blocks.
Great for beginners! A lot of examples and theories with practices. It let me learn more about the underlying principles.
Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.
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.
À propos du Spécialisation Machine Learning for Trading

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