Recruitment website above a random search, immediately let me feel Beijing west two banners is naked rich area. \

Don’t believe in tears, there is no poor programmer.

For programmers who are good at logic and code, how to make their money continue to gain is a difficult problem at this stage.

Who doesn’t yearn for money? Who doesn’t look forward to the day of financial freedom?

There are many programmers engaged in IT technology began to pay attention to investment, some consulting people around, some began to listen to the sharing meeting, pay attention to financial trends, add a pile of financial sales wechat, and finally found: real estate, stocks, gold, futures… Multifarious investment direction to see the eye also did not choose a suitable investment direction.

Only the right investments can bring you returns.

What kind of investment is the investment that suits oneself?

Lei Jun’s early years do angel investment have a principle: cast acquaintance only.

Rogers says there can only be one rule of investing: Don’t do something you don’t understand. In other words, do only what you know.

In short, do what you know. Instead of listening to financial salespeople whine about obscure investments, choose what you know and can handle.

What are the things that programmers are good at and can handle? Write a computer program in code with careful logic and make it work. Nothing is more secure for a programmer than the computer programs he writes in code.

As a programmer, there seems to be no better way to invest than to study quantitative investing and become a quant.

No matter what language you’re good at, don’t feel like quants are far away. Many programmers have become quants by systematically studying quantitative investment courses, researching strategy writing and system building. Quants offer more than just a boost to their job income.

At the same time, I am also good at quantitative trading, so as to make my choice and judgment more accurate and scientific, and investment more valuable. These people are called the financiers of IT, the IT engineers of finance.

If you want to be a quant;

If you want to do quantitative strategy systematically;

If you want to harness subjective, quantitative thinking;

If you want to build a stable quantitative trading system;

If you want to prepare for the future and make sure that you have the ability to learn;

We suggest you take up the challenge

Fundamentals of Quantitative Trading: Strategy Writing and System Building

Start time: October 25th

Lecturers: Wang Hao, Song Zhanjiang, Meng Kangjian, Liu Yingfei

In this course, we will invite the quantitative trading lecturer from Tsinghua University to teach you the complete code examples and answer questions online through a 12-hour live broadcast. The course will concentrate 40,000 hours of quantitative technology practice, tens of thousands of quantitative strategy trading and the real trading and quantitative system practice that teachers encounter in reality into the course. The 12-hour course is full of dry goods oh ~

Please refer to the syllabus below for details.

Price surprise ~\