Security Analysis Platform and the Study of Long-term Trend Prediction
In recent years, the prediction of the data of the bond, more and more important value of research through the most important in the management of Finance and decision. It is very important to predict the trend of borrowing as a major research project of the nonlinear time series analysis. The data of the bond can be considered as the data of nonlinear time series analysis, and we can use the path of non-linear time series analysis to predict. But it is difficult to predict the trend of the data short of the bond because of the complicated and uncertain factors, which include the government’s policy, business situation, important news, and investor sentiment.
Now we can the way of time series predication to accurately predict the trend of the bond under the condition a long time because of the bond market shows clear non-linear properties. To understand uncertain prediction in a short time and people to get the stock market with the angle of the macroscopic to the leadership of the temporary facility, to set the model of nonlinear time series analysis to build, to predict the trend of Fair in the long run. From the perspective of the essence it is the design of the system, the trend of the bond. For the function that we should settle first in collecting, as the data observed in a simple interface and analysis to assess to build. The core task is long-term analysis system is based on the trend of the bond relevant selection algorithm, nonlinear time series analysis design.
This artiles consists of four parts, which is further specified in the following sections.
First, to protect intellectual property, the module is designed in this article. The two algorithms, DES and Remote Access, are presented for the first and then the encryption algorithm used in this system is specified. This system combines the characters of the series to combine physical and logical hardware in a series to create the software ID. The procedure is as follows: for the use of the Windows API function, the applications to the physical hardware of the computer series and logical series, and then intercept and combine with the software ID. Password can then register the transfer of the software after the time of encryption algorithm ID finally the register machine has come to register users easily fetch. There are 10 English letters in this Software , and there are 26 chances for the password, there are 141 trillion probabilities for the password in the software system, so to solve this problem is so hard. After time encryption, the ability to destroy the defense will be improved again. Endless search, for example, this system is encrypted time because of this, another appointment should be coupled with different passwords. If the endless search works do not need the system password can be changed in the next appointment if you should destroy the work must be similar as the same process done.
The second platform is the data interface in this article. The data interface is used to connect data to the outside. Since the quantities of data is very large, and they are changing over time and updates are developed, such as introducing the data into the system, the main function to operate this system. The data is formatted in binary data in that system and run this data into the system. The next step is to persist in the analysis of several periods can be applied for and methods of analysis are to be brought in an integrated and specific data are analyzed and then the corresponding curve. Based on this process of generalization rules for changing bonds are analyzed, it will find that the categories of the chains have prepared for the selection is the key basic standard for a long time investment.
The third algorithm with the corresponding time series for calculating the relevant time series on the same sample, the known with the trend of the bond-mode data, has the trend of the sample predicted to be found. Relationship degree can be regarded as the reference changed in predicting bond. Linked degree can describe the relationship between the two degrees can change the bond series and analysis, and can change the history to analyze and recover it, so that modules used in order to analyze the similar situation, which looks at how in a certain degree can be predicted. It is from studies that the high similarity between the data in the process of sampling and in the module, the small error and the corresponding similar change between them, the small bond types can be selected to be shown, and the accurate forecast Bonds Change can be brought.
Anyway, can this method of prediction makes us satisfaction. Finally, the algorithm of Vector Machine (SVM) in this Article shall apply to the long-range forecast for changing bond. Here the core mapping is in Vector Machine (SVM) is used and the input samples in a particular room assigned to H. In this space, the samples are separated into several sets according to the linear method. First, the data will be carried out on a normalization, then select the data normalized attend training, testing and category. The result shows that this method can predict the bond and its changing more accurate and can provide some standard for deciding.The entire software system is simple and applied based on VB6 and MatLab. In particular, there is a senior role in reality.
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