NO.1QUANT.LA
Pictured above is The Binhai Tower, Tencent’s new global headquarters. Late at night, the Tencent building is almost the brightest of all the surrounding buildings. By 2 a.m., the lights on the upper three and four floors are off, but the lights below are still on, even on weekends.
This is true for big companies, but even more so for small ones. As a perennial leading salaryman, you, have you ever thought that the second half of your life is like this?
There are always endless demands for change. I often work overtime until late at night, and I am highly focused. Besides the keyboard sound, I occasionally hear the cry from my heart: “I am too tired, really too tired, and I don’t know what to do when I change my career.” But the next day, it’s all about writing code.
Until the days and months grow, you gradually become an older code farmer, the body has been unable to bear, unable to catch up with the project schedule and technology update, hardware conditions force you to make a career choice again.
NO.2QUANT.LA
Some people have done statistics on the whole IT industry and come to a conclusion that the common way out for older programmers is mainly these three: do management, start a business and continue to write programs.
Upgrade management
The first thing that comes to mind is to transfer to a management position, which is also the choice of most senior code farmers, perhaps the best choice. But managing things that seem simple isn’t easy either. Management director, not only need professional knowledge, but also need more management experience, in order to manage people, well settled. So it’s a big question mark to switch from programming to management.
entrepreneurship
Starting an Internet business is much harder and riskier than just managing it. In addition to relevant technical knowledge and management experience, you also need resources, products, markets, operations, contacts, luck and so on. According to Liu Qin of Morningside Capital, one of Xiaomi’s investors, the chances of a successful start-up based on an IPO are only 1 in 50,000. How many bankruptcies can you afford?
Keep writing the program
Domestic this kind of IT employment environment, would rather have to go all out, the demand is low young. As a senior code farmers, catch up on progress, fight performance, you can?
NO.3QUANT.LA
What career can we programmers do other than these so-called three ways out or start a small business? Is there a fourth possibility?
The answer: quantitative trading — rather than taking the risk of starting a company, invest in a mature company using quantitative trading.
What?
It might sound strange to you. It might sound fancy. The great white saying of quantitative trading is: do (Chao) and trade (PIao) with computer programs.
NO.4QUANT.LA
Speaking of trading, at its peak around 2000, Goldman employed 600 human traders on its US cash and equities desk to buy and sell shares for large orders from investment bank investors.
Today, there are only two human equity traders left, and quantitative trading has taken over most of the day-to-day work at the New York headquarters. Quant trading is definitely a blue ocean these days, and the people who do it are also known as quants.
It’s not that mysterious, it’s programming ability (tools) + trading ability (ideas). To be a quant, you must be a good programmer. If you are a programmer, you are at least halfway there.
NO.5QUANT.LA
Can I acquire the ability to trade?
Of course, trading does not equal finance, so individuals do quantitative trading without advanced financial theories. The more they know, the more they are burdened, otherwise those professors who teach finance will be financially free.
As long as you understand the basic knowledge of stocks or futures, can understand the K-chart, and commonly used technical analysis indicators even if the entry. Finance can enhance your knowledge base, but it is not very helpful for a trading career.
You don’t need economics, calculus, matrix inverse, option pricing. You don’t need it. You just need to know the basics of quantitative trading.
Statistics, philosophy, algorithms, machine learning. The most important thing is that the trading strategy should have reasonable internal logic, because this is the basis of retail profits.
In some ways, trading is a lot like learning to program. No matter how many books you read about programming, you’ll never learn without writing code and doing it. Trading is also the practice of actual combat, must go through the market hone, it is possible to find the true meaning of trading.
NO.6QUANT.LA
So how do you start?
- A reliable tool (quantitative trading platform)
- A sound idea (quantitative trading strategy)
First, it is necessary to develop a reliable quantitative trading platform, including accurate data acquisition and cleaning, outer risk control, efficient backtest engine and core trading system.
Secondly, quantitative trading strategy. Simply put, this is buying and selling conditions, stop-profit and stop-loss conditions (which are not required in some cases), position management, and risk control of **.
Finally, test and verify the newly developed trading strategy, simulation trading test, small capital firm trading test, large capital firm trading, these steps are necessary.
NO.7QUANT.LA
The development of quantitative trading platform is a big project, which can be built by ourselves or ready-made. But ideas are more important than tools. Instead of wasting time building tools until the strategy is mature and stable, it would be better to focus on developing quantitative trading strategies, and there are many such commercial platforms.
For example, in the inventor quant trading platform, trading strategies can be developed without having to reinvent the wheel. Let’s look at some code that I’m sure you’ll understand:
With less than 15 lines of code, this is a quantitative trading strategy — the multi-commodity futures moving average.
Using quantitative trading can help you reduce the interference of subjective emotions or perceptions, and use “high probability events” in historical data as a criterion to greatly reduce irrational investment decisions. And the better the investment decisions, the more money you make! Accordingly, the income of quants is also very considerable.
Of course, quantitative trading strategy is not this one, the use of mature quantitative trading platform, the threshold of quantitative investment to a minimum, I believe that smart you will find a lot of opportunities.
NO.8QUANT.LA
Quant, to put IT bluntly, is the most understanding of finance in the IT circle, the most bovine IT engineer in the financial circle. If you’re a regular programmer, quant trading might be a better option.
Finally, please use a lifetime to do a good job of what you like, this one thing can let you benefit for life! When you are good at something, you are irreplaceable, you are free!
Okay, that’s it. I’m going to work overtime!
Read more:
Quantifying transactions without typing code?