4-course bundle in

Advanced Algorithmic Trading
Strategies In Python

Learn to find alpha in financial markets using artificial intelligence and quantitative techniques. Get trained by experts such as Dr. Ernest P. Chan, with decades of trading experience. Learn to code and backtest your own trading strategy in Python. Perfect for seasoned traders

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Learn from Expert like
Dr. Ernest Chan

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AI Based Strategies

AI Based Strategies
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What Will You Learn?

Course 1: Mean Reversion Strategies in Python by Dr. Ernest P. Chan

Authored by a leading global expert, Dr. Ernest P. Chan, this course covers four types of algorithmic trading strategies: mean-reverting strategy on pairs and triplets, index arbitrage, long-short portfolio strategies. In addition to backtesting these strategies in Python on market data, learn the underlying mathematical concepts for solid understanding.

(Level: Advanced, Duration: 5 hours)


Course 2: Decision Trees Trading by Dr. Ernest P. Chan

This intermediate course consists of 7 sections from basic to advanced topics. The course demystifies the black box within classification trees, helps you to create trading strategies and will teach you to understand the limitations of your models. It discusses various strategy optimization techniques which are widely used in artificial intelligence. Taught by the world-renowned quantitative trading expert, Dr. Chan, the content is crisp and focused on financial markets prediction problems.

(Level: Intermediate, Duration: 7 hours)


Course 3: Neural Networks Trading by Dr. Ernest P. Chan

This advanced course teaches how to identify trading opportunities from raw financial markets using neural networks and deep learning. This is a fast-paced course which aims to achieve a lot in a minimal time. From core concepts such as back and forward propagation to using LSTM models in Keras, everything is covered in a simplified manner with additional reading material provided for advanced learners.

(Level: Advanced, Duration: 8 hours)


Course 4: Advanced Options Trading Strategies in Python

Advanced concepts in python are taught to identify rare trading opportunities in Options Trading. Learn about dispersion trading, exotic options, risk management, scenario analysis and application of machine learning in options trading.

(Level: Advanced, Duration: 7 hours)

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Programme Content

A Whole New Learning Experience With Quantra ®
Customized Video Experience
Customized Video Experience
Jupyter Notebook Documents
Jupyter Notebook Documents
Machine Driven Interactive Exercises
Machine Driven Interactive Exercises

Testimonials

Marcus Partner, LRC Capital USA.

Nikolas Pareschi

Trader & Instructor at Investidor de Sucesso, Brazil

"I respect a lot the work of Dr. Ernest P. Chan and when I knew about Quantra I signed immediately to some of the courses. What I most like about Quantra is the perfect match between trading experience and academic proficiency. Some ideas that I have incorporated in my trading came from my learnings from the Quantra courses. ."

Mario Pisa

Mario Pisa

System Analyst, Spain

"Very useful and easy to follow, not only learn to code but also it’s a clear explanation about the maths under the hood for better understanding"

Soutrik Roy Chowdhury

Soutrik Roy Chowdhury

Grad student of Mathematics at University of Sherbrooke, Canada

"An excellent introduction of machine learning in trading! If one is new to the field of trading and would like to check how beautifully analytical settings like ML works, please consider spending some time on this lovely interactive course!"

Marcus Partner, LRC Capital USA.

Marcus

Partner, LRC Capital USA

"Excellent course. The material is well structured. Provides a comprehensive overview of using Python for trading, commonly used libraries, interactive coding exercises to further understanding, and coding strategy examples. Highly recommended for anyone looking to build trading strategies in Python."

Mr. Rajeev Kumar Sahu

Rajeev Kumar Sahu

"Wonderfully explained the delta neutral and gamma scalping strategy. Also, got some idea about trading strategies using technical indicators."

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Programme Content