Stock transaction decision support system driven by real-time big data analysis and method thereof

Abstract

The invention discloses a stock transaction decision support system driven by real-time big data analysis and a method thereof, and relates to the technical field of stock transaction, the system comprises a big data acquisition system, a big data transmission system, a big data analysis system, a transaction decision output system and a man-machine interaction system; the stock market information is acquired from different data sources through the big data acquisition system, the stock market information is preprocessed and then sent to the big data analysis system through the big data transmission system to be processed and analyzed, and then the transaction decision output system outputs the corresponding stock transaction decision according to the processing and analysis result. A decision framework based on big data driving is provided, data management is more efficient, data security is guaranteed, decision makers can be effectively helped to collect, analyze and mine stock market information, stock transaction decisions are supported based on big data analysis driving, decision accuracy is higher, and stock transaction efficiency is improved. And unnecessary loss of investors can be reduced to the greatest extent.

Description

Technical Field

[0001] The present invention relates to the technical field of stock trading, and in particular to a stock trading decision support system and method driven by real-time big data analysis. Background Art

[0002] A stock is a certificate issued by a joint-stock company to prove the shares held by a shareholder. It indicates that the holder of the stock has ownership of part of the capital of the joint-stock company. The stock market is an important part of the global economy. It provides companies with a way to raise funds, and also provides investors with opportunities to invest and earn returns. However, stock investment is also accompanied by risks. Market fluctuations may cause stock prices to fall, exposing investors to the risk of losses. Therefore, when participating in stock trading, investors need to conduct sufficient research, understand the operating mechanism of the market, and formulate appropriate investment strategies.

[0003] With the rapid development of information technology, the exponential growth of data volume has triggered the arrival of the big data era. Faced with a large amount of data, how to efficiently analyze and utilize it has become a problem faced by all walks of life. In this context, big data analysis and decision support systems came into being. However, in the existing technology, there is still little research on applying real-time big data analysis to stock trading decisions, which cannot bring effective help to stock trading decisions.

[0004] Most of the existing stock trading decision support systems have single functions, and the management of stock data is not efficient enough. They are unable to accurately identify and evaluate the potential risks in stock trading, resulting in low accuracy of the generated stock trading decisions, which needs to be improved, resulting in greater investment risks for investors and easily causing unnecessary losses to investors. Therefore, the present invention proposes a real-time big data analysis-driven stock trading decision support system and method thereof to solve the problems existing in the prior art. Summary of the invention

[0005] In response to the above problems, the purpose of the present invention is to propose a stock trading decision support system and method driven by real-time big data analysis, so as to solve the problem that the existing stock trading decision support system is not efficient enough in managing stock data, and cannot accurately identify and evaluate the potential risks in stock trading, resulting in low accuracy of the generated stock trading decisions, which needs to be improved, and leads to greater investment risks for investors.

[0006] In order to achieve the purpose of the present invention, the present invention is implemented by the following technical solutions: a stock trading decision support system driven by real-time big data analysis, including a big data acquisition system, a big data transmission system, a big data analysis system, a trading decision output system and a human-computer interaction system; The big data collection system includes an information collection module for collecting stock market information from different sources, an information preprocessing module for preprocessing the collected stock market information, and an information sending module for sending the preprocessed stock market information to the big data transmission system. The information collection module includes a real-time information collection unit for collecting real-time data of stock market information and a historical information collection unit for collecting historical data of stock market information. The big data transmission system includes a data transmission platform for providing a data transmission path and a cloud backup platform for backing up and storing the stock market information collected by the big data collection system; The big data analysis system includes an information receiving module for receiving the stock market information sent by the information sending module, a database module for performing distributed storage of the received stock market information, and an information analysis module for processing and analyzing the stored stock market information; The trading decision output system includes a risk assessment module for assessing stock trading risks according to the analysis results of the information analysis module and a decision generation module for generating stock trading decisions according to the evaluation results of the risk assessment module.

[0007] A further improvement is that the information preprocessing module includes a data cleaning unit for cleaning the stock market information, a data conversion unit for standardizing the cleaned stock market information, and a data reduction unit for reducing the standardized stock market information.

[0008] A further improvement is that the information sending module includes a data compression unit for compressing the pre-processed stock market information, a data encryption unit for encrypting the compressed data packet and a data sending unit for sending the encrypted data packet to the data transmission platform, and the information receiving module includes a data decryption unit for decrypting the received data packet and a data decompression unit for decompressing the decrypted data packet.

[0009] Further improvements are: the data transmission platform includes a wireless transmission unit for providing a wireless transmission path for data, a wired transmission unit for providing a wired transmission path for data and a transmission switching unit for adaptively switching the data transmission path; the cloud backup platform includes a data copying unit for copying and backing up data during the transmission process and a cloud storage unit for cloud storage of the copied and backed up data.

[0010] A further improvement is that the information analysis module includes a data analysis unit for analyzing and processing stock market information and a data mining unit for performing data mining based on the analysis results of the data analysis unit, and the data mining unit mines the change trend of data over time based on the analysis results of the data analysis unit.

[0011] Further improvements are: the risk assessment module determines the stock market trend and predicts the stock price changes based on the analysis results of the information analysis module, and then assesses the stock trading risk based on the stock market trend and stock price changes; the decision generation module generates stock trading signals and suggestions based on the assessment results of the stock trading risk, and forms corresponding stock trading decisions.

[0012] A further improvement is that the human-computer interaction system includes a liquid crystal display module for displaying system parameters and a touch control module for controlling the system. The liquid crystal display module presents the analysis results of the information analysis module and the stock trading decisions output by the trading decision output system to the decision maker in the form of graphics and text.

[0013] The decision support method of a stock trading decision support system driven by real-time big data analysis includes the following steps: firstly, using an information collection module in a big data collection system to obtain stock market information from different data sources, then using an information preprocessing module in the big data collection system to preprocess the obtained stock market information, then using an information sending module in the big data collection system to send the preprocessed stock market information to a big data transmission system, then using a data transmission platform in the big data transmission system to transmit the stock market information to an information receiving module in the big data analysis system, and at the same time using a cloud backup platform in the big data transmission system to perform cloud backup of the stock market information, and using a database module to perform distributed storage of the stock market information, and then using an information analysis module in the big data analysis system to analyze the data stored in the database module, and to mine out a change trend of the data over time, and then according to the mined change trend, using a risk assessment module in a trading decision output system to assess the stock trading risk, and finally according to the assessment result, using a decision generation module in the trading decision output system to generate a corresponding stock trading decision.

[0014] The beneficial effects of the present invention are as follows: the present invention obtains stock market information from different data sources through a big data acquisition system, and sends it to a big data analysis system through a big data transmission system for processing and analysis after preprocessing, and then a trading decision output system outputs corresponding stock trading decisions according to the processing and analysis results, providing a decision-making framework based on big data drive, making data management more efficient, and while ensuring data security, can effectively help decision makers collect, analyze and mine stock market information, discover valuable information therefrom, and identify and evaluate potential stock security threats and vulnerabilities, support stock trading decisions based on big data analysis drive, make decisions more accurate, minimize unnecessary losses for investors, and reduce stock trading risks, which is worthy of wide promotion and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural diagram of the stock trading decision support system driven by real-time big data analysis of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0018] See also Figure 1 , this embodiment provides a stock trading decision support system driven by real-time big data analysis, including a big data collection system for collecting big data of stock market information, a big data transmission system for providing a big data transmission path, a big data analysis system for performing big data analysis on stock market information, a trading decision output system for outputting stock trading decisions, and a human-computer interaction system for providing a human-computer interaction function between the system and the decision maker; The big data collection system includes an information collection module, an information preprocessing module and an information sending module, wherein the information collection module is used to collect stock market information from different sources, the information preprocessing module is used to preprocess the collected stock market information, and the information sending module is used to send the preprocessed stock market information to the big data transmission system. The information collection module includes a real-time information collection unit and a historical information collection unit, wherein the real-time information collection unit is used to collect real-time data of stock market information from different data sources, and the historical information collection unit is used to collect historical data of stock market information from different data sources, and the real-time data and historical data of stock market information constitute a complete big data set; The big data transmission system includes a data transmission platform and a cloud backup platform, wherein the data transmission platform is used to provide a data transmission path, and the cloud backup platform is used to back up and store the stock market information collected by the big data collection system; The big data analysis system includes an information receiving module, a database module and an information analysis module, wherein the information receiving module is used to receive the stock market information sent by the information sending module, the database module stores the stock market information received by the information receiving module in different storage units in a distributed storage manner, and the information analysis module is used to process and analyze the stored stock market information; The trading decision output system includes a risk assessment module and a decision generation module, wherein the risk assessment module is used to assess the stock trading risk according to the analysis results of the information analysis module, and the decision generation module is used to generate a stock trading decision according to the evaluation results of the risk assessment module.

[0019] The information preprocessing module includes a data cleaning unit, a data conversion unit and a data reduction unit. The data cleaning unit uses statistical methods to identify and delete outliers in the data to achieve the cleaning of stock market information. The data conversion unit is used to standardize the cleaned stock market information and convert the data into the same format for subsequent analysis and processing. The data reduction unit uses principal component analysis to reduce the dimension of the data set to achieve data reduction processing of the standardized stock market information.

[0020] The information sending module includes a data compression unit, a data encryption unit and a data sending unit, wherein the data compression unit is used to compress the pre-processed stock market information and compress the data into packets using a lossless compression algorithm, the data encryption unit is used to encrypt the compressed data packets and encrypt the data using a symmetric encryption algorithm and provide a corresponding secret key, the data sending unit is used to send the encrypted data packets to the data transmission platform, the information receiving module includes a data decryption unit and a data decompression unit, wherein the data decryption unit uses the key provided by the data encryption unit to decrypt the data packets, the data decompression unit is used to decompress the decrypted data packets and use a lossless compression algorithm to decompress the data compression packets.

[0021] The data transmission platform includes a wireless transmission unit, a wired transmission unit and a transmission switching unit, wherein the wireless transmission unit is used to provide a wireless transmission path for the data, the wired transmission unit is used to provide a wired transmission path for the data, and the transmission switching unit is used to adaptively switch the data transmission path. The cloud backup platform includes a data copy unit and a cloud storage unit, wherein the data copy unit is used to copy and back up the data during the transmission process, and the cloud storage unit is used to store the copied and backed up data in the cloud, and is used for subsequent cloud storage of the backed up data for subsequent traceability queries.

[0022] The information analysis module includes a data analysis unit and a data mining unit, wherein the data analysis unit pre-selects a clustering algorithm and determines clustering parameters according to data characteristics, and then applies the selected clustering analysis algorithm to perform clustering analysis on the data stored in the database module, and divides the data into different groups, and then checks the characteristics of each cluster group to obtain the commonalities and differences between different groups. The data mining unit is used to perform data mining based on the analysis results of the data analysis unit, identify association rules and sequence patterns in the data based on the data analysis results, so as to understand the relationship and internal structure between the data, and mine the changing trend of the data over time.

[0023] The risk assessment module determines the stock market trend and predicts stock price changes based on the analysis results of the information analysis module, and then assesses the stock trading risks based on the stock market trend and stock price changes. The decision generation module generates stock trading signals and suggestions based on the assessment results of stock trading risks to form corresponding stock trading decisions.

[0024] The human-computer interaction system includes a liquid crystal display module and a touch control module, wherein the liquid crystal display module is used to display system parameters, and the touch control module is used to control the system. The liquid crystal display module presents the analysis results of the information analysis module and the stock trading decisions output by the trading decision output system to the decision maker in the form of graphics and text, so that the system and the decision maker can communicate and collaborate. Example

[0025] This embodiment provides a decision support method for a stock trading decision support system driven by real-time big data analysis, including the following steps: Step 1: first, use the information acquisition module in the big data acquisition system to obtain stock market information from different data sources, then use the information preprocessing module in the big data acquisition system to preprocess the acquired stock market information, and then use the information sending module in the big data acquisition system to send the preprocessed stock market information to the big data transmission system; Step 2: Then, the data transmission platform in the big data transmission system is used to transmit the stock market information to the information receiving module in the big data analysis system, and the cloud backup platform in the big data transmission system is used to perform cloud backup of the stock market information, and the database module is used to perform distributed storage of the stock market information; Step 3: Then use the information analysis module in the big data analysis system to analyze the data stored in the database module and mine the trend of data changes over time; Step 4: Then, based on the mined change trends, the risk assessment module in the trading decision output system is used to assess the stock trading risk. Finally, based on the assessment results, the decision generation module in the trading decision output system is used to generate the corresponding stock trading decision.

[0026] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A stock trading decision support system driven by real-time big data analysis, characterized by: Including big data collection system, big data transmission system, big data analysis system, transaction decision output system and human-computer interaction system; The big data collection system includes an information collection module for collecting stock market information from different sources, an information preprocessing module for preprocessing the collected stock market information, and an information sending module for sending the preprocessed stock market information to the big data transmission system. The information collection module includes a real-time information collection unit for collecting real-time data of stock market information and a historical information collection unit for collecting historical data of stock market information. The big data transmission system includes a data transmission platform for providing a data transmission path and a cloud backup platform for backing up and storing the stock market information collected by the big data collection system; The big data analysis system includes an information receiving module for receiving the stock market information sent by the information sending module, a database module for performing distributed storage of the received stock market information, and an information analysis module for processing and analyzing the stored stock market information; The trading decision output system includes a risk assessment module for assessing stock trading risks according to the analysis results of the information analysis module and a decision generation module for generating stock trading decisions according to the evaluation results of the risk assessment module.

2. The stock trading decision support system driven by real-time big data analysis according to claim 1 is characterized by: The information preprocessing module includes a data cleaning unit for cleaning the stock market information, a data conversion unit for standardizing the cleaned stock market information, and a data reduction unit for reducing the data of the standardized stock market information.

3. The stock trading decision support system driven by real-time big data analysis according to claim 1 is characterized by: The information sending module includes a data compression unit for compressing the pre-processed stock market information, a data encryption unit for encrypting the compressed data packet and a data sending unit for sending the encrypted data packet to the data transmission platform. The information receiving module includes a data decryption unit for decrypting the received data packet and a data decompression unit for decompressing the decrypted data packet.

4. The stock trading decision support system driven by real-time big data analysis according to claim 1, characterized in that: The data transmission platform includes a wireless transmission unit for providing a wireless transmission path for data, a wired transmission unit for providing a wired transmission path for data, and a transmission switching unit for adaptively switching the data transmission path. The cloud backup platform includes a data copying unit for copying and backing up data during the transmission process and a cloud storage unit for cloud storage of the copied and backed up data.

5. The stock trading decision support system driven by real-time big data analysis according to claim 1 is characterized by: The information analysis module includes a data analysis unit for analyzing and processing stock market information and a data mining unit for performing data mining according to the analysis results of the data analysis unit. The data mining unit mines the change trend of data over time according to the analysis results of the data analysis unit.

6. The stock trading decision support system driven by real-time big data analysis according to claim 1, characterized in that: The risk assessment module determines the stock market trend and predicts the stock price fluctuation according to the analysis results of the information analysis module, and then assesses the stock trading risk according to the stock market trend and stock price fluctuation. The decision generation module generates stock trading signals and suggestions according to the assessment results of the stock trading risk, and forms corresponding stock trading decisions.

7. The stock trading decision support system driven by real-time big data analysis according to claim 1, characterized in that: The human-computer interaction system includes a liquid crystal display module for displaying system parameters and a touch control module for controlling the system. The liquid crystal display module presents the analysis results of the information analysis module and the stock trading decisions output by the trading decision output system to the decision maker in the form of graphics and text.

8. The decision support method applied to the stock trading decision support system driven by real-time big data analysis as claimed in claim 1, characterized in that: The method comprises the following steps: firstly, using the information acquisition module in the big data acquisition system to acquire the stock market information from different data sources, then using the information preprocessing module in the big data acquisition system to preprocess the acquired stock market information, then using the information sending module in the big data acquisition system to send the preprocessed stock market information to the big data transmission system, then using the data transmission platform in the big data transmission system to transmit the stock market information to the information receiving module in the big data analysis system, and at the same time using the cloud backup platform in the big data transmission system to perform cloud backup on the stock market information, and using the database module to perform distributed storage on the stock market information, and then using the information analysis module in the big data analysis system to analyze the data stored in the database module, and to mine the change trend of the data over time, and then according to the mined change trend, using the risk assessment module in the transaction decision output system to assess the stock transaction risk, and finally according to the assessment result, using the decision generation module in the transaction decision output system to generate the corresponding stock transaction decision.

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