BTC quantitative trading system
then, find an outsourcing company.
Seriously help you answer this question, the landlord may want to ask is,
1, is it necessary for indivials to do quantitative transactions
2
Answer 1: is it necessary for indivials to make quantitative transactions
in the more than 20 years since the establishment of China's stock market, the stock market has changed from an open investment and financing platform to a dream of many investors getting rich overnight. The stock market has become a gambling house, and retail investors have been treated as leeks. Put aside the enthusiasm of the bull market and the whine of the stock market disaster, we need to calm down and think, should we use a more rational or scientific method to deal with such a serious matter as stock market investment? The emerging quantitative trading is trying to provide a rational investment solution, through a large number of calculations to establish a scientific profit model, with "high probability" profit making event as the operation idea
the essence of traditional technical analysis is to find the law of price, but why not fundamental analysis? With the help of computer, these regular things can be done by computer, so it is very necessary for indivial investors in A-share market to participate in the process of quantitative trading as soon as possible
answer 2: how do indivials achieve quantitative transactions
there are two situations for indivials to realize quantitative transactions:
one is that you have the "necessary environmental soil" for all-weather research. In this case, you can directly rely on the resource platform that you own (some charge, some free)
the "necessary environment soil" of all-weather research refers to the personal programming language ability (such as MATLAB, python, etc.), as well as sufficient resources of hardware and software equipment, such as model software for quantitative strategy research (such as TSS system, etc.). The annual fee is very expensive. Don't think about it. If you work in the quantitative research department of securities instry, don't forget it, You can fully mobilize these software resources). In short, it is whether the quantitative strategy can be used or not. It needs a lot of research environment< this approach is not suitable for indivial investors
one is that some quantitative trading systems and research platforms have appeared on the market. Indivial investors, without enough research capital, can completely realize the one click fool to realize the real offer quantitative trading (here refers to the stock). Quantitative trading strategy model is also ready-made, you can use the ready-made model, you can also personalize the parameter settings of the model. Specific implementation, to avoid advertising suspicion, see name + VX
if you are only an institutional or indivial investor, it is not realistic to build a self built system. After all, it will cost a lot of time and money. Therefore, consider using a third-party system and choosing a third-party system. It is recommended to choose a quantitative trading platform at the local terminal.
the main feature of quantitative investment different from traditional qualitative investment is the model. For example, when we see a doctor, the diagnosis and treatment methods of traditional Chinese medicine and Western medicine are different. Traditional Chinese medicine looks, hears, asks and cuts. The final judgment is largely based on the experience of traditional Chinese medicine, with a higher degree of subjective qualitative; Western medicine is different. Patients are required to take films, test, etc. all of these depend on medical instruments, and finally come to a conclusion and apply the right medicine to the case. Traditional Chinese medicine has a very high requirement for doctors' experience, and their subjective judgment often determines the therapeutic effect, while western medicine is much more leisurely, just go according to the prescribed proceres. Quantitative investment is the western medicine in stock investment, which can effectively correct the incompatibility between reason and emotion
the general idea of quantitative investment: select some technical indicators (we call them parameters, often several of them form a group), and divide the data range of each parameter into several equal parts. Then, write a program with computer programming that can make data statistics on the impact of these parameter groups on the stock price, connect to a large database for statistical calculation, and automatically select the parameter combination that can achieve a higher level of return. However, after selecting these parameter groups, they can not be applied immediately, because there is a probability trap involved here. For example, there are 100 numbers from 1 to 100. Now you are allowed to choose. How likely is it that you can choose 100? Yes, it's 1 / 100. If you're lucky enough to choose 100, it doesn't mean you're smarter than others, but it's a matter of probability. Therefore, we should pay special attention to the relationship between the frequency of statistics and the number of result groups. After selecting the parameters that meet the requirements, we should set aside at least three years of original market data for verification, and only after the verification is qualified can we try
quantitative investment raw data strategy: we choose the market data after 1996, because there was a trading policy reform in the stock market in 1996 (you can check it yourself). In order not to affect the research results, we do not adopt the data before 1996 into the database
hardware equipment for quantitative investment research: high performance computers and home computers are OK, but the computing time will be very long. I used to use home computers to calculate for three months before I got the data I wanted
statistical method: genetic algorithm can be used, but I am here to accompany you to do a relatively simple model, so ordinary statistical method is OK
software for quantitative research: I use free large-scale database mysql, ASP network programming language, and the flagship win7 operating system which can be set as a network server.