Hello everyone, I am Wang Zhe, and I have not communicated with you for a while, because in the first half of the year, I completed one of my "small goals" in the first half of the year, that is, to sort out my own wealth management system, compared to my goal last year - to sort out my own knowledge system. The importance of this goal is not bad at all, this article will sell you my results, and I hope to help you.
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As a programmer who has been writing programs for 15 years, I feel that to make my life happier, I have to achieve two goals. The first goal is to do a good job in your own professional field and achieve good personal development. I did this myself, in the work or constantly challenge myself, try a larger scope, more technical and managerial exploration, while using the time after ten o'clock every night to publish several technical books, apply for and publish more than a dozen patents and papers, manage several open source projects, and some students may know that last year I also opened a practical course "Deep Learning Recommendation System Practice".
The second goal is to manage my own money and make my wealth grow steadily. This is not only to improve the quality of life of themselves and the whole family, and even the sense of happiness, but also to hope that at some time in the future, without being bound by objective conditions, to pursue more in line with the ideal of the heart.
I call the wealth management system composed of these two goals the Wealth Twin Towers. For us ordinary people, "basic survival" is the earth, "life interest" is the sky, between this heaven and earth, "personal development" and "investment and financial management" are the two towers that support the heavens and the earth, forming a stable wealth structure, one is indispensable.
It is not easy to achieve the first goal, and in the process of achieving the second goal, I may encounter more pitfalls than the first. I bought my first stock in my sophomore year, because the blind operation lost almost 50% of the principal, in order to achieve the "lazy ideal" of the program to help me trade, I also wrote a futures quantitative trading program, but the more shrewd professional counterparty as a leek harvested another wave. During this period, I also created a business, bought an investment house, worked as a base citizen, and took option stocks. I have been involved in almost all of these money-related projects.
The more pits to step on, the more samples of failure and success have accumulated, and the "wealth management" model can naturally converge to a local optimal point. In the past ten years, the assets I have managed have indeed risen from the initial tens of thousands of pieces to the level of tens of millions. I also hope to consciously form my own wealth management system, which is the original intention of my summary of this course, combing my own experience system while also "just eating". Letting the course itself be part of one's own wealth is an idea that goes hand in hand with combing through the knowledge system of my recommended system.
The process of sorting out this wealth management knowledge system also took several years. In 2014, I was with Tsinghua's brother-in-law, who was the investment manager of Yinhua Fund at that time
@Li Teng
, co-created the "Science Investment" website and the Zhihu column. Since then, I will regularly communicate and discuss with several professional investors, including Li Teng, summarize the gains and losses of my personal investment behavior, and refine my investment experience.
In addition to hoping to make ourselves and our families have a better accident, we both have a very "tall" vision, that is, to let the scientific wealth management concept affect the people around us, and even more ordinary investors. This course is also another step towards a goal.
Therefore, in this course, I will stand in the perspective of a programmer who "loves to manage money", backed by the support of China's top investment experts such as Li Teng, and tell my fellow programmers how to manage our own wealth and how to manage the development of our careers and lives. I hope that after listening to this course, you can make your life and your family better.
<h1 class="pgc-h-arrow-right" data-track="13" > take out the "low hanging fruit" in wealth management</h1>
I believe that most programmers must be very smart and hard-working students. In my nearly ten-year career, most of the colleagues I have met have been very serious and very intelligent programmers. In terms of income, they are often the best among their peers. These programmer classmates have never been tripped by the difficulties at work, but they are always on the matter of "managing money".
Buying a house is too expensive, do not know whether to sell, always miss the best time; stock speculation is very enthusiastic, invest a lot of spare time, but always be cut leeks; buy funds with the current, and do not know how to pick, randomly selected funds are always flat performance...
Sometimes I wonder if it's because it's too hard to manage money? Is it harder to learn than the variety of programming languages we encounter? Is it more complicated than the bizarre algorithms and models we have to master?
I don't think so.
We will take a detour in "managing money", not because of how difficult it is, but because we do not value it as much as we value our own work.
Maybe you will say, of course, I must pay attention to work, otherwise I can't earn money, so why talk about managing money? This kind of thinking is not unreasonable, but spending time on "managing money" is not to give up the development of work and lie flat completely, but to properly balance a small amount of time and get more benefits.
We who are in a hurry to make money are willing to spend 100% of our energy on work, but we never stop, spending even 5% of our time seriously thinking about the problem of "money". In order to make money, we can work at the rhythm of 996, but when we really make money, we always let it go there, let it depreciate, or casually invest in some place that seems to make money and be harvested by others. Isn't that ridiculous?
There is a word in English called "low hanging fruit", which literally means "low-hanging, easy-to-pick fruit", which means those easy-to-achieve goals. I believe that a truly intelligent person should learn to pluck out the hanging fruit of life with less energy. Effective wealth management is "easy fruit" compared to solving the extreme problems of the people in your work. And what we want to do is spend 5% of your life building a proper wealth management approach so that you can jump less strenuously and pick up the fruits of your wealth.
<h1 class="pgc-h-arrow-right" data-track="22" > programmers are the best group to learn wealth management</h1>
Seeing that the name of our course is "Programmer's Personal Wealth Lesson", you may have some questions: Isn't wealth management something that everyone can learn? Why not take a wealth management course that is suitable for everyone?
In fact, at the beginning of the design course, I was already very clear about its positioning: I must do a wealth class exclusive to my fellow programmers. Aside from the fact that I'm a programmer myself, the more important reason is that I think programmers are the best group to learn wealth management. Why? I think it's mainly because we have three big advantages.
Advantage 1: The programmer's logical thinking ability and rational way of thinking are the most valuable qualities of a successful investor.
The way we deal with work every day is to sort out the logic of products and businesses, form rules, and turn them into procedures, which is too similar to the process of investment and financial management. The process of investment is the process of refining rules from investment behaviors again and again, forming a trading system, and then constantly adjusting according to feedback.
Many of us have experienced many investment failures, probably because we don't realize that we have to transfer the rigorous way of thinking at work to the process of wealth management. And this is the most critical problem to be solved in this course.
Advantage two: Compared with other ordinary investors, programmers have a huge tool advantage.
We can use programming as a tool to quickly validate a large number of problems that others spend a lot of time discussing that are not clear. I remember when I first bought a house, like many other home buyers, I didn't know whether it was better to borrow more or less; whether it was better to borrow sooner or later.
Later, I simply made up a program that simulated the change process of my repayment, investment, salary income, and so on. In the end, according to my own financial management ability, I made the decision to take out a long loan and repay it late. It turned out that this decision was very correct and helped me seize many subsequent investment opportunities.
Of course, everyone's objective conditions and investment capabilities are different, and which way is more suitable for you needs to be analyzed by yourself. But this process of analysis and verification is what we programmers do every day, and it's what we do best.
Advantage three: The profession of programmer has inexhaustible value in itself.
It can be said that the career path of programmers is a big gold mine in itself. We are in the field of Internet IT, which is still developing at a high speed, and we have some advantages that people in traditional industries do not have. What we need to think about is how to manage this wealth gold mine and make our work bring us more value.
In fact, for the profession of programmer, if you want to get a position with an annual salary of more than 1 million, you do need some opportunities; but from an annual salary of 200,000 to 1 million, you can completely achieve it through reasonable career planning and personal development planning. Such a high workplace ceiling is difficult to compare with other traditional industries.
In short, we programmers hold the three "sharp weapons" of logical thinking, tool advantages, and career advantages, you say, if even we do not establish a systematic, scientific wealth management system, who is more suitable for this?
<h1 class="pgc-h-arrow-right" data-track="36" > how was this course designed? </h1>
Regarding the specific content of this course, I will first list ten keywords, you see if there are any of your interests, and then I will talk about the specific content:
Career planning
option
Job hopping
avocation
Buy a house
Quantitative investing
Fund Investments
stock
Hedging, rotation, trend following, value investing strategies
Machine learning quantization strategies
In designing this course, I hope it will cover all aspects of our programmers' concerns, from financial management to "self-management", from buying a house to speculating in stocks, from job hopping to side business, solving most of your pain points when managing wealth.
At the same time, considering that our group does not have a solid financial knowledge base, so I will not introduce you too many professional financial concepts and theories, even if you must introduce, I will use real cases, data, stories to help you eat through the content of each lecture.
For example, in the second half of the course, we will use some real data to design some investment strategies, of which the two-eight round is a classic investment strategy, and Li Teng and I will open source all the data, code and backtesting results. The green curve below is the return curve of the 28th rotation strategy, and the annualized return over ten years is 20.1%. Similar strategic ideas such as trend following, value investing, hedging ideas, etc. will be introduced a lot in the course. Of course, we are not going to guide you to buy any funds or quantitative products, but we hope that you will master a few more ways to design quantitative strategies in such a lesson.
To be more specific, I divided the course into four modules: "Wealth Framework", "Personal Development", "Investment Practice" and "Investment Advanced", and helped you build a personal wealth system according to the logic from total to score and from shallow to deep.
<h1 class="pgc-h-arrow-right" data-track="52" > communicate with programmer friends</h1>
Like the last "Deep Learning Recommendation System in Action" course, this course is no longer my own course. I received a lot of case sharing from my classmates, and even very professional investment experience sharing.
For example, everyone has an in-depth discussion about buying a house
For example, some students take the initiative to collect supplementary resources related to the course
For example, a wonderful discussion about after-school questions
There is also a reflection and summary of the lesson after the course
Unlike those miasma financial management groups and financial forums, I strongly advocate rational, unapologetic discussion. Because most of the more than 3,000 students who have taken this course are programmers, they can indeed discuss learning with an objective attitude, and they are very grateful for their contributions to the course.
<h1 class="pgc-h-arrow-right" data-track="59" > to be a better ordinary self</h1>
Finally, I would like to send you a word: strive to be a better, ordinary self. Accepting and understanding their "ordinary" is the premise of learning this course, 99.9% of us will not be investment geniuses, only by facing the wealth management with an ordinary person's attitude can we accumulate our wealth in a down-to-earth manner, rather than building a castle in the air composed of conceit and luck.
Our wealth class is not a treasure book for getting rich, which allows you to directly realize the freedom of wealth; it is not a magic elixir that can save you from the water and fire of life. However, as long as you start with a normal heart, we embark on the journey of wealth management together, and on the way forward, you will definitely become a better version of yourself, which is even more important than making more money.
Wealth management is a long process and something that will accompany you for the rest of your life. Hopefully, this course will plant a seed of wealth in your mind. Once again, attach the connection to this course, welcome to participate!
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Finally, if you are already a student of this course, or are interested in this course, I hope you can praise and support it, so that more students in need can see this course, thank you!
Welcome to my WeChat public account: Wang Zhe's machine learning notes (wangzhenotes), tracking the frontiers of machine learning such as computing advertising and recommendation systems. Students who want to communicate further can also discuss technical issues through the public account plus my WeChat.