CQA

During our journey to learn about quantitative wealth management, we have discovered three essential skills: (1) mathematics, (2) programming and (3) creativity. Mathematics is what translates a trading idea into well-defined meaningful symbols. Programming is what translates the mathematical symbols into lines of code for trading research and execution. Creativity is the source of inspiration and intuitions.

About CQA
About CQA

Quantitative Investment

Our courses are designed to survey some of the sophisticated mathematical trading ideas from the academic world.

Mathematics

Our courses are designed to make the more useful yet rather inaccessible mathematics concepts, such as stochastic control, SOCP

Programming

Learning a programming language (Java/C#/C++/etc.) is not about learning the constructs and syntax.

About CQA

CQA Institute has the vision to promote rational investment and trading using mathematics and technologies. We offer the best value continuous training and education for capital market professionals.

It is very difficult to find people who can produce elegant code for mathematical models. In general, mathematicians do not write good code and computer programmers do not understand the (advanced) mathematics. Yet, computer language is what we use to turn an idea into a product that people can actually use. We foresee that the truly valuable talents are those who have creative ideas and are able to implement them. They are the most-sought after candidates in quantitative finance.

Products

Introductions to Bond Futures Trading 2013

Only $2,000.00

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Introduction to Quantitative Investment 2013, videos

Only $300.00

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Introduction to Quantitative Investment

Only $1,600.00

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OOP and Design

Only $2,400.00

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Core Team

Our core team consists of experts in the wealth management industry and renowned scholars from top universities

Dr. Ng Kah Hwa
Dr. Ding Hao
Dr. Haksun Li
Dr. Kevin Sun
Dr. Ken Yiu
Dr. Wei Zhen
Dr. Ernie Chan
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Testimonials

This course is great introduction to the world of quantitative trading with a focus on real world practicality instead of just solely mathematical equations. For all of the lectures, the lesson rarely ends at a mathematical equation but goes a step further in showing results of the tests with more assignments in conducting these strategies. I do not have any constructive criticism for this course. Overall, a great subject. Thanks Dr Li!
yandru
yandru
This is one of the most useful courses I have taken in this semester. It not only shows how to make use of mathematics when you have a rough idea about the real market, but also emphasize the importance of programming skill which turns those abstract equations into reality again. Meanwhile, we need pay attention to the limit of your mathematical models. Then, by modifying, we can improve those models into which will be more reliable.
Callmechung
Callmechung
It is a very interesting and useful course that I am taking in this term in HKUST. Because topics in Algorithmic Trading Strategies are dispersed in many fields in Mathematics and Finance, hardly can one find such a summative course like this one I take. Actually, I think that the most outstanding feature of this course is that each chapter is based on academic papers related to certain algorithmic trading strategies. And I have to say that most of academic papers given by Professor Li are very classical and most of them deserve a serious reading.
maziz82
maziz82
The course is clear to provide great insights in algorithmic trading. It provides different angles to trading strategies and is good for students to, as a starter, understand how quantitative trading works and what the philosophy is behind. The only drawback is the lessons are not long enough to teach more knowledge and skills.
Alexandrov
Alexandrov
Really good course, it promote my programming skills and modeling sensitive, but i think it’s really a big bag of open question homework plus big project, especially when the project is too difficult.
keytrade
keytrade
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