Machine Learning for Trading

Brought by: Coursera

Overview

This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves. As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading. This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level. To successfully complete the exercises within the program, you should have advanced competency in Python programming and familiarity with pertinent libraries for Machine Learning, such as Scikit-Learn, StatsModels, and Pandas; a solid background in ML and statistics (including regression, classification, and basic statistical concepts) and basic knowledge of financial markets (equities, bonds, derivatives, market structure, and hedging). Experience with SQL is recommended.

Syllabus

Course 1: Introduction to Trading, Machine Learning & GCP
- In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will ... Enroll for free.

Course 2: Using Machine Learning in Trading and Finance
- This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll ... Enroll for free.

Course 3: Reinforcement Learning for Trading Strategies
- In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the ... Enroll for free.

Courses

Taught by

Jack Farmer and Ram Seshadri

Machine Learning for Trading
Go to course

Machine Learning for Trading

Brought by: Coursera

  • Coursera
  • Paid
  • English
  • Certificate Available
  • Available at any time
  • intermediate
  • N/A