Trading, Machine Learning & GCP - Introduction
Students can use Google Cloud Platform to build machine learning models as part of this course, which covers the basics of trading, quantitative strategies, and machine learning uses in finance.
machine learning applied to finance,finance,trading,investment,computer science
Description for Trading, Machine Learning & GCP - Introduction
Principles of Trading: Comprehend the fundamental principles of trading, such as trend, returns, stop-loss, and volatility, to establish a basis for more sophisticated subjects.
Quantitative Trading Approaches: Explore many quantitative trading strategies and their frameworks for identifying profit sources.
Arbitrage and Statistical Methods: Examine the fundamentals of exchange, statistical, and index arbitrage, encompassing the essential procedures involved in these techniques.
Financial Applications of Machine Learning: Acquire hands-on expertise in applying machine learning methodologies to financial applications, including the development and execution of backtesting frameworks utilizing Google Cloud Platform.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by New York Institute of Finance & Google Cloud
Duration: 9 hours (approximately)
Schedule: Flexible
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