If we want to understand how to use stock quantification, we must first figure out what quantification is. In fact, quantitative trading does not have a precise definition. In a broad sense, it can be considered that all trading methods that rely on mathematical models and computers can be called quantitative trading.
Quantitative trading originated in the stock market in the 1970s. It refers to a securities investment method that uses modern statistical and mathematical methods to trade using computer technology. Quantitative trading selects a variety of "high probability" events that can bring excess returns from huge historical data to formulate strategies, uses quantitative models to verify and solidify these laws and strategies, and then strictly implements strategies to guide investment in order to obtain sustainable returns. Sustained, stable, and above-average excess returns.
In layman's terms, quantitative trading is a trading technique that derives trading strategies based on quantitative analysis. It uses mathematical calculations and numerical analysis to identify trading opportunities. The complete data in the past is the basis of quantitative analysis, and price and quantity are the main variables in the establishment of mathematical models. The program is formulated by humans, but because most people cannot execute it firmly, they choose to quantify it. Robots have no emotions, do not understand what is greed and what is fear, and only have established procedures.
So how can we do a good job in quantitative trading? Naturally, it is necessary to have suitable tools. As mentioned above, quantitative trading needs to screen useful information in massive data. In the face of massive data, it is difficult for an ordinary investor to operate, so tools must be used. What good is that? What about quantitative investment tools? In fact, there are many on the market, some are provided by the government, some are provided by third-party software companies, especially the tools provided by third parties, many of which can be used, such as the following quantification tool , you can find a demo on gitee, and some Operations required for quantitative transactions, such as:
name |
Function |
|
basic function |
Init |
|
Deinit |
||
Logon |
||
logoff |
||
QueryData |
||
QueryHistoryData |
||
SendOrder |
||
CancelOrder |
||
GetQuote |
||
Repay |
||
GetExpireDate |
||
Single Account Batch Function |
QueryDatas |
|
SendOrders |
||
CancelOrders |
||
GetQuotes |
||
Multi-account batch function |
QueryMultiAccountsDatas |
|
SendMultiAccountsOrders |
||
CancelMultiAccountsOrders |
||
GetMultiAccountsQuotes |
||
You can find it on the above, you may wish to learn more, maybe there will be unexpected gains.