Using Machine Learning in Trading and Finance
Learn to build and implement advanced trading strategies using machine learning techniques with TensorFlow and Keras.
Learn to build and implement advanced trading strategies using machine learning techniques with TensorFlow and Keras.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning for Trading Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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(358 ratings)
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What you'll learn
Design and implement quantitative trading strategies
Build machine learning models using Keras and TensorFlow
Develop pair trading prediction systems
Create momentum-based trading strategies
Implement effective backtesting methodologies
Optimize trading models using advanced ML techniques
Skills you'll gain
This course includes:
4 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This advanced course combines machine learning techniques with financial trading strategies. Students learn to develop sophisticated trading systems using TensorFlow and Keras, including momentum-based and pairs trading strategies. The curriculum covers neural network implementation, backtesting methodologies, and practical applications of machine learning in quantitative trading. Through hands-on projects, learners build and evaluate various trading models using real-world market data.
Introduction to Quantitative Trading and TensorFlow
Module 1 · 33 Minutes to complete
Introduction to TensorFlow
Module 2 · 3 Hours to complete
Training neural networks with Tensorflow 2 and Keras
Module 3 · 2 Hours to complete
Build a Momentum-based Trading System
Module 4 · 6 Hours to complete
Build a Pair Trading Strategy Prediction Model
Module 5 · 4 Hours to complete
Fee Structure
Instructor
NYIF Instructor Specializing in Portfolio Risk Management and Derivatives
Jack Farmer is an instructor at the New York Institute of Finance (NYIF), where he specializes in training and consulting solutions for portfolio risk management, foreign exchange (FX) and interest rate derivatives, equity index and volatility trading, as well as financial statement analysis and hedge accounting. He holds a BS in Engineering and an MBA in Finance and Accounting from Tulane University, and is currently pursuing a PhD in Finance from the University of Texas at Austin. Jack's extensive expertise enables him to effectively educate students on complex financial concepts and risk management strategies.
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3.9 course rating
358 ratings
Frequently asked questions
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