Intelligent investment analysis method based on big data and block chain

Abstract

The invention discloses an intelligent investment analysis method based on big data and a block chain, and the method comprises a block chain intelligent investment analysis system which comprises a big data collection module, a block chain storage module and an information integration module. The big data acquisition module comprises a market information acquisition sub-module, a personal budget collection sub-module and an analysis sub-module, the market information acquisition sub-module is used for collecting various information conditions of an investment market, and the personal budget collection sub-module is used for collecting budget conditions of investors; the block chain storage module comprises a head block chain, a block chain subset and a log updating sub-module, and the head block chain is electrically connected with the analysis sub-module and is used for receiving the market information analyzed by a user of the analysis sub-module, synchronizing the market information to the block chain subset, disclosing the market information analyzed by the user and updating the log. The analysis sub-module is used for analyzing the market condition of the market, reducing the investment risk of the user, and guaranteeing the balance of the income of the user.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent investment analysis of blockchain, and specifically relates to an intelligent investment analysis method based on big data and blockchain. Background Art

[0002] As the research on blockchain technology becomes more and more in-depth, cross-research on blockchain in various application fields is also booming, and has brought new industry development opportunities to industries such as finance, electronic information, and big data.

[0003] Since its development, the financial market and industrial structure have become very complicated. The number of related sub-industries and the complexity of business relationships have far exceeded imagination, but its essential core has never changed. The essence of finance is credit intermediation. In the case of widespread information asymmetry, credit is always accompanied by risks, and the security of financial investors is always challenged. With the development of emerging sciences such as big data, artificial intelligence, and informatization, information is shared on a larger scale and in greater depth. Blockchain technology, as a decentralized, trust-free, code-based and autonomous distributed accounting method, can be applied to the financial industry to effectively ensure the security and integrity of financial data.

[0004] However, when the existing financial industry applies blockchain technology to analyze investments, it cannot minimize the user's risks and the benefits are unevenly distributed. Therefore, an intelligent investment analysis method based on big data and blockchain is provided to reduce the user's investment risks. Summary of the invention

[0005] The purpose of the present invention is to solve the problems raised in the above-mentioned background technology by targeting the existing intelligent investment analysis method based on big data and blockchain.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent investment analysis method based on big data and blockchain, including a blockchain intelligent investment analysis system, wherein the blockchain intelligent investment analysis system includes a big data acquisition module, a blockchain storage module, and an information synthesis module; The big data collection module includes a market information collection submodule, a personal budget collection submodule and an analysis submodule. The market information collection submodule is used to collect various information on the investment market, the personal budget collection submodule is used to collect the budget of investors, and the analysis submodule is used to analyze the market conditions.

[0007] The present invention further illustrates that the blockchain storage module includes a head blockchain, a blockchain subset and a log update submodule, the head blockchain is electrically connected to the analysis submodule, and is used to receive the market conditions analyzed by the user of the analysis submodule and synchronize them to the blockchain subset, and make the market conditions analyzed by the user public, the blockchain subset is composed of multiple blockchains, and the log update submodule is used to update the data of the day in real time; The head blockchain includes a matching unit, an investment entry and a profit distribution unit. The matching unit is used to match the user's analyzed market conditions with customers with different budgets, the investment entry is used for user investment, and the profit distribution unit is used to distribute the user's profits.

[0008] The present invention further illustrates that the information integration module includes an investment feedback submodule, a comparison submodule and an output submodule. The investment feedback submodule is used to feedback the user's income situation. The comparison submodule is used to compare the user's investment before and after the investment to determine the user's income situation. The output submodule is used to transmit the signal to the head blockchain.

[0009] The present invention further illustrates that the comparison submodule includes a sorting unit and a statistical unit, the sorting unit is used to sort the accuracy of the user's analysis of the market situation, and the statistical unit is used to statistically analyze the accuracy of the periodicity of the market situation.

[0010] The present invention further illustrates that the blockchain intelligent investment analysis system comprises the following steps: Step 1: Build a comprehensive investment platform through big data collection module, blockchain storage module and information integration module to facilitate user login; Step 2: Collect various investment market information through the market information collection submodule, so that users can obtain information in a timely manner and analyze the current investment market situation; The user who analyzes the market is classified as User A, and the investment user who refers to User A's analysis of the market is classified as User B; Step 3: The analysis submodule transmits the investment market analyzed by user A to the head blockchain and synchronizes it to the blockchain subset; Step 4: User B logs into the comprehensive investment platform through the login system and inputs his investment budget into the personal budget collection submodule. Through the matching unit, different data for analyzing investment market conditions are matched according to different budgets of user B, so that user B can selectively invest according to his own budget; Step 5: After user B invests, the investment feedback submodule will provide feedback on the investment income of user B, and transmit the income to the head blockchain submodule through the output submodule, and the income will be distributed to user A through the income distribution unit; Step 6: Use the comparison submodule to compare user B's income with user B's investment to determine the accuracy of user A's market analysis income, and use the sorting unit to rank users A with high market analysis accuracy from high to low, so that user B can easily obtain information for reference.

[0011] The present invention further illustrates that the step 4 includes the following specific operation steps: Step 4-a: When user A transmits the analyzed investment market to the head blockchain, the investment market analyzed by user A is allocated through the allocation unit of the head blockchain. The allocation method is allocated according to the size of the budget funds to adapt to different users B; Step 4-b: When the personal budget collection submodule receives the budget of user B and transmits the data to the matching unit, the matching unit can allocate the corresponding investment market data according to the different budgets of each user B to provide a reference for user B; Step 4-c: When user B agrees with the market analysis by user A and intends to invest, he / she can make investment operations through the investment portal.

[0012] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention adopts a blockchain storage module to provide investment directions and references for users who do not know how to make investment predictions, thereby reducing the investment risks of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the blockchain intelligent investment analysis system of the present invention; Figure 2 It is a schematic diagram of the head blockchain of the present invention; DETAILED DESCRIPTION

[0014] The following is a further non-limiting detailed description of the technical solution of the present invention in conjunction with the preferred embodiments and the accompanying drawings. 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.

[0015] See also Figure 1-2 The present invention provides a technical solution: an intelligent investment analysis method based on big data and blockchain, including a blockchain intelligent investment analysis system, and the blockchain intelligent investment analysis system includes a big data acquisition module, a blockchain storage module, and an information synthesis module; The big data collection module includes a market information collection submodule, a personal budget collection submodule and an analysis submodule. The market information collection submodule is used to collect various information on the investment market, the personal budget collection submodule is used to collect the budget of investors, and the analysis submodule is used to analyze the market conditions.

[0016] The blockchain storage module includes a head blockchain, a blockchain subset and a log update submodule. The head blockchain is electrically connected to the analysis submodule, and is used to receive the market conditions analyzed by the user of the analysis submodule and synchronize them to the blockchain subset, making the market conditions analyzed by the user public. The blockchain subset is composed of multiple blockchains. The log update submodule is used to update the data of the day in real time. The head blockchain includes a matching unit, an investment entry and a profit distribution unit. The matching unit is used to analyze the user's market situation and match it with customers with different budgets. The investment entry is used for user investment, and the profit distribution unit is used to distribute the user's profits.

[0017] The information synthesis module includes an investment feedback submodule, a comparison submodule and an output submodule. The investment feedback submodule is used to feedback the user's income. The comparison submodule is used to compare the user's investment before and after the investment to determine the user's income. The output submodule is used to transmit the signal to the head blockchain.

[0018] The comparison submodule includes a sorting unit and a statistical unit. The sorting unit is used to sort the accuracy of the user's market analysis, and the statistical unit is used to statistically analyze the accuracy of the market periodicity.

[0019] The blockchain intelligent investment analysis system includes the following steps: Step 1: Build a comprehensive investment platform through big data collection module, blockchain storage module and information integration module to facilitate user login; Step 2: Collect various investment market information through the market information collection submodule, so that users can obtain information in a timely manner and analyze the current investment market situation; Specifically, when a user logs into the comprehensive investment platform, the user can read various information collected by the market information collection submodule. Some users can analyze the market based on their own experience and market conditions and upload the analysis content to the analysis submodule. The analysis submodule contains a forum section for other users to read and refer to; It should be noted that the user who analyzes the market is classified as user A, and the investment user who refers to the market analysis of user A is classified as user B; Step 3: The analysis submodule transmits the investment market analyzed by user A to the head blockchain and synchronizes it to the blockchain subset; Specifically, the head blockchain is used to record the first analysis of investment market by user A and synchronize the information to the blockchain subset, so as to decentralize the investment market analyzed by user A and facilitate the subsequent distribution of benefits to user A when user B gains from analyzing the investment market.

[0020] Step 4: User B logs into the comprehensive investment platform through the login system and inputs his investment budget into the personal budget collection submodule. Through the matching unit, different data for analyzing investment market conditions are matched according to different budgets of user B, so that user B can selectively invest according to his own budget; Step 5: After user B invests, the investment feedback submodule will provide feedback on the investment income of user B, and transmit the income to the head blockchain submodule through the output submodule, and the income will be distributed to user A through the income distribution unit; Step 6: Use the comparison submodule to compare user B's income with user B's investment to determine the accuracy of user A's market analysis income, and use the sorting unit to rank users A with high market analysis accuracy from high to low, so that user B can easily obtain information for reference.

[0021] Step 4 includes the following specific steps: Step 4-a: When user A transmits the analyzed investment market to the head blockchain, the investment market analyzed by user A is allocated through the allocation unit of the head blockchain. The allocation method is allocated according to the size of the budget funds to adapt to different users B; Step 4-b: When the personal budget collection submodule receives the budget of user B and transmits the data to the matching unit, the matching unit can allocate the corresponding investment market data according to the different budgets of each user B to provide a reference for user B; Step 4-c: When user B agrees with the market analysis by user A and intends to invest, he / she can make investment operations through the investment portal.

[0022] Through the above steps, investment directions can be given to users who do not know how to predict investments, providing references and reducing the risks of user investment.

[0023] Step 5 includes the following specific steps: Step 5-a: After one cycle of user B’s investment, one cycle is one day, the investment feedback submodule will provide feedback on user B’s earnings and transmit the signal to the head blockchain; Step 5-b: Obtain the income of user B through the head blockchain, and obtain part of the income of user B through the income distribution unit to give it to user A, so that user A can also obtain income; Through the above steps, when user B obtains benefits by using user A's investment market data, user A who analyzes the market can also obtain benefits, thus achieving a more reasonable distribution of investment benefits; It should be noted that the purpose of the head blockchain submodule recording the market conditions analyzed by user A for the first time is: if other users repost the market conditions analyzed by user A for the first time, then through the linked investment entry of the market conditions, user A who analyzed the investment market conditions for the first time can also obtain benefits, thus ensuring the benefits of user A while ensuring the benefits of user B; Step 6 includes the following specific steps: Step 6-a: The comparison submodule compares the amount before and after the investment of user B to determine whether the market analysis of user A is accurate; Specifically, the amount invested by user B is set to a, and the balance of the investment amount after one period of investment is calculated to be b. When b is greater than a, it means that the user's income is positive, indicating that the market analysis of user A selected by the user is highly accurate. When b is less than a, it means that the user's income is negative, indicating that the market analysis of user A selected by the user is less accurate. Step 6-b: The accuracy of user A's analysis of investment market is arranged from high to low through the sorting unit, and transmitted to the log update submodule, which updates the data of the head blockchain in real time, so that user B can understand the accuracy of user A's analysis of the market in real time and reduce the risk of investment users to the minimum. Furthermore, when the accuracy of the three consecutive cycles of the analysis of the investment market by the statistical unit is low, it indicates that the analysis of the market by the user A is incorrect, and the permission of the user A to analyze the investment market is closed.

[0024] Through the above steps, when user B invests, the income of user B is analyzed, and the level of user A's market analysis is judged, which greatly reduces the investment risk of user B.

[0025] In the description of the present invention, it is necessary to understand that the directions or positional relationships indicated by terms such as "up", "down", "front", "back", "left", and "right" are based on the directions or positional relationships shown in the accompanying drawings and are only used to facilitate the description of the present invention. They do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention.

[0026] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents, and these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent investment analysis method based on big data and blockchain, including a blockchain intelligent investment analysis system, characterized in that: The blockchain intelligent investment analysis system includes a big data collection module, a blockchain storage module, and an information integration module; The big data collection module includes a market information collection submodule, a personal budget collection submodule and an analysis submodule. The market information collection submodule is used to collect various information on the investment market, the personal budget collection submodule is used to collect the budget of investors, and the analysis submodule is used to analyze the market conditions.

2. The intelligent investment analysis method based on big data and blockchain according to claim 1 is characterized by: The blockchain storage module includes a head blockchain, a blockchain subset and a log update submodule. The head blockchain is electrically connected to the analysis submodule, and is used to receive the market conditions analyzed by the user of the analysis submodule and synchronize them to the blockchain subset, making the market conditions analyzed by the user public. The blockchain subset is composed of multiple blockchains. The log update submodule is used to update the data of the day in real time; The head blockchain includes a matching unit, an investment entry and a profit distribution unit. The matching unit is used to match the user's analyzed market conditions with customers with different budgets, the investment entry is used for user investment, and the profit distribution unit is used to distribute the user's profits.

3. The intelligent investment analysis method based on big data and blockchain according to claim 2 is characterized by: The information integration module includes an investment feedback submodule, a comparison submodule and an output submodule. The investment feedback submodule is used to feedback the user's income. The comparison submodule is used to compare the user's investment before and after the investment to determine the user's income. The output submodule is used to transmit the signal to the head blockchain.

4. The intelligent investment analysis method based on big data and blockchain according to claim 3 is characterized by: The comparison submodule includes a sorting unit and a statistical unit. The sorting unit is used to sort the accuracy of the user's market analysis, and the statistical unit is used to statistically analyze the accuracy of the market periodicity.

5. The intelligent investment analysis method based on big data and blockchain according to claim 4 is characterized in that: The blockchain intelligent investment analysis system includes the following steps: Step 1: Build a comprehensive investment platform through big data collection module, blockchain storage module and information integration module to facilitate user login; Step 2: Collect various investment market information through the market information collection submodule, so that users can obtain information in a timely manner and analyze the current investment market situation; The user who analyzes the market is classified as User A, and the investment user who refers to User A's analysis of the market is classified as User B; Step 3: The analysis submodule transmits the investment market analyzed by user A to the head blockchain and synchronizes it to the blockchain subset; Step 4: User B logs into the comprehensive investment platform through the login system and inputs his investment budget into the personal budget collection submodule. Through the matching unit, different data for analyzing investment market conditions are matched according to different budgets of user B, so that user B can selectively invest according to his own budget; Step 5: After user B invests, the investment feedback submodule will provide feedback on the investment income of user B, and transmit the income to the head blockchain submodule through the output submodule, and the income will be distributed to user A through the income distribution unit; Step 6: Use the comparison submodule to compare user B's income with user B's investment to determine the accuracy of user A's market analysis income, and use the sorting unit to rank users A with high market analysis accuracy from high to low, so that user B can easily obtain information for reference.

6. The intelligent investment analysis method based on big data and blockchain according to claim 5 is characterized by: The step 4 includes the following specific steps: Step 4-a: When user A transmits the analyzed investment market to the head blockchain, the investment market analyzed by user A is allocated through the allocation unit of the head blockchain. The allocation method is allocated according to the size of the budget funds to adapt to different users B; Step 4-b: When the personal budget collection submodule receives the budget of user B and transmits the data to the matching unit, the matching unit can allocate the corresponding investment market data according to the different budgets of each user B to provide a reference for user B; Step 4-c: When user B agrees with the market analysis by user A and intends to invest, he / she can make investment operations through the investment portal.

7. The intelligent investment analysis method based on big data and blockchain according to claim 6 is characterized by: The step five includes the following specific steps: Step 5-a: After one cycle of user B’s investment, one cycle is one day, the investment feedback submodule will provide feedback on user B’s earnings and transmit the signal to the head blockchain; Step 5-b: Obtain the income of user B through the head blockchain, and obtain part of user B's income through the income distribution unit to give it to user A, so that user A can also obtain income.

8. The intelligent investment analysis method based on big data and blockchain according to claim 7 is characterized by: The step six includes the following specific operation steps: Step 6-a: The comparison submodule compares the amount before and after the investment of user B to determine whether the market analysis of user A is accurate; Specifically, the amount invested by user B is set to a, and the balance of the investment amount after one period of investment is calculated to be b. When b is greater than a, it means that the user's income is positive, indicating that the market analysis of user A selected by the user is highly accurate. When b is less than a, it means that the user's income is negative, indicating that the market analysis of user A selected by the user is less accurate. Step 6-b: The accuracy of user A's analysis of investment market is arranged from high to low through the sorting unit and transmitted to the log update submodule. The log update submodule updates the data of the head blockchain in real time, so that user B can understand the accuracy of user A's analysis of market in real time and reduce the risk of investment users to a minimum.

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