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.
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
Introduction to Quantitative Investment 2013, videos
Only $300.00
Introduction to Quantitative Investment
Only $1,600.00
OOP and Design
Only $2,400.00
Core Team
Our core team consists of experts in the wealth management industry and renowned scholars from top universities
News Center

Transforming a QP Problem to an SOCP Problem
A Quadratic Programming problem (QP) in the form of \(\begin{aligned}

Fastest Java Matrix Multiplication
Introduction Matrix multiplication occupies a central role in scientific computing

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