Numerical Method Inc. has the vision to promote rational investment and trading. We offer the best value continuous training and education for capital market professionals.

### Our Vision

We have chosen to do wealth management, investment or trading, among many alternatives like value investing or technical analysis, in a mathematical way. The very reason is our passion for seeking the truth. Scientist Joseph Needham concluded that it was the zeal for truth that sparked and fueled the European advancement of science. Professors Chincarini and Kim argued that truth triumphs Gordon Gekko’s greed in the financial world. “Mathematics is the language with which God wrote the universe,” wrote Galileo Galilei. It is the supreme scientific truth that our civilization has achieved so far (or so we thought until the mid of 20^{th} century). In fact, as many philosophers such as Plato believe, it is the only scientific truth. For example, the laws of natural numbers or the value of π are fundamentally true or unchangeable and do not require any specific context. Newton’s laws are not like that. They do not apply to very big or very small worlds. Therefore, we want to use exactly the same language that describes the physical Universe so amazingly well to discover the truths in the financial world. On the other hand, if mathematics did not work, what would?

During our journey to learn about mathematical wealth management, we created a simple four step process to generate a trading strategy (see Haksun’s course lecture 1). This process requires three essential skills: (1) mathematics, (2) programming and (3) creativity. Mathematics is what translates a trading idea or intuition into well-defined meaningful symbols. Starting from the assumptions, we can derive the properties of the made-concrete trading strategy. Before betting our first $1, we can compute the expected return (or P&L distribution) and the expected holding time of a trade. Programming is what translates the mathematical symbols into lines of code for trading research and execution. An effective programming skill is like an effective communication skill. We collaborate with our research tools by “talking” to them. An effective usage of the tools increases the probability of generating effective trading strategies. At the very least, it reduces in the execution systems the number of bugs that could cause millions of dollars of losses. It is easy to hire good mathematicians; you look for them in New York City. It is easy to hire good programmers; you look for them in the Silicon Valley. However, it is extremely difficult to hire someone who can come up and code up complex mathematical trading strategy. Our education program focuses on teaching these two skills.