How does quantitative trading fit in with traditional trading?

It is not a problem to quantify trading techniques into automated trading. The difficulty lies in the process of quantifying the trading technique, the handling of the details, and the ability of the programmer to program.

First of all, it is important to describe the trading technique in a way that others can understand it, to the extent that they can grasp it once they hear it. This is more certain for the programmer to write a complete program that meets the requirements.

Secondly, based on the feedback from the programmers, a lot of the details of the descriptions are refined. Sometimes certain details are taken for granted by the trader, but the actual programming tool used may not have a corresponding function or a corresponding description method. This requires the trader to change the description method.

Once again, many programs, after they are written, are likely to contain logical errors, or other problems of one kind or another that require extensive data testing to correct.

There are also some basic issues of quantization that need attention, such as overfitting optimization of these. First of all, the quantization of the basic knowledge to do an understanding, to do a good idea.

As for automated trading, find a platform that supports automated trading. The stock side of the quantitative Nuggets (Kyushu Securities), TS quantitative platform (Guoxin Securities), there are a small number of Python quantitative platforms also support auto-trading, futures Mandarin Finance, pioneers, foreign exchange MT4 and so on.