Course

Machine Learning for Trading

Google Cloud & New York Institute of Finance

This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is designed for finance professionals and Machine Learning experts looking to apply their craft to quantitative trading strategies.

Understand the structure and techniques used in machine learning, deep learning, and reinforcement learning strategies.
Learn to develop and test ML-driven trading strategies.
Explore the application of Keras and Tensorflow in building machine learning models.
Gain insight into the concepts of trend, returns, stop-loss, and volatility in trading.
Design and back test various quantitative trading strategies using machine learning models.
Explore reinforcement learning strategies for trading and understand their benefits and methods for optimization.

Certificate Available ✔

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Course Modules

This course covers the fundamentals of trading, machine learning techniques in finance, and reinforcement learning strategies, empowering learners to develop and test ML-driven trading strategies.

Introduction to Trading, Machine Learning & GCP

Understand the fundamentals of trading and the concepts of trend, returns, stop-loss, and volatility.
Define quantitative trading and explore various quantitative trading strategies.
Learn about the application of machine learning in financial use cases.

Using Machine Learning in Trading and Finance

Design basic quantitative trading strategies and build machine learning models using Keras and Tensorflow.
Develop and back test pair trading and momentum-based trading models.

Reinforcement Learning for Trading Strategies

Understand the structure and techniques used in reinforcement learning strategies.
Explore the benefits of using reinforcement learning vs. other learning methods in trading.
Develop, test, and optimize reinforcement learning trading strategies.

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