1. A fund information real-time interaction system based on a block chain is characterized by comprising a data acquisition module, an interaction module, a correction module, a storage module and a server;

the data acquisition module comprises a fund evaluation acquisition unit and a fund information acquisition unit, wherein the fund evaluation acquisition unit is used for acquiring evaluation value information of the fund on the day selected by the user, and the fund information acquisition unit is used for recommending dynamic information of a fund position company according to the fund selected by the user;

the correction module is used for correcting the data acquired by the fund evaluation acquisition unit and sending the corrected data to the interaction module;

the interaction module is used for establishing an interaction channel with a user, sending the received information to the user through the interaction channel and receiving the information sent by the user.

2. The system of claim 1, further comprising a blockchain module, wherein the blockchain module is configured to allocate and store the user registration information and the fund information.

3. The system of claim 1, wherein the fund evaluation collecting unit collects evaluation information of the fund day selected by the user, and the method comprises:

step SA 1: acquiring a fund platform with a fund evaluation value, and marking the acquired fund platform as i;

step SA 2: obtaining historical valuation data and historical net valuation data of the fund corresponding to the fund platform, and marking the historical valuation data as P_ijMarking the historical net worth data as L_ij；

Step SA 3: according to the formulaObtaining a stable value alpha of the fund estimated value_iEstimate the stable value alpha of the fund_iSorting is carried out, and the stable value alpha of the fund evaluation value arranged first is_iThe corresponding fund platform is used as a data acquisition source of the user fund evaluation value;

step SA 4: and obtaining the current day evaluation value of the user fund on the corresponding fund platform.

4. The system of claim 1, wherein the method for the fund information collection unit to recommend the dynamic information of the fund position company according to the fund selected by the user comprises:

step SB 1: acquiring the information of the fund position holding company according to the fund position holding information;

step SB 2: and establishing a retrieval unit, inputting the fund position holding company information into the retrieval unit for retrieval, obtaining a retrieval result, and sending the retrieval result to the interaction module.

5. The system according to claim 4, wherein the step SB2 is a method for inputting fund position information into the search unit for search, which comprises:

retrieving in a security trading platform according to the name of a fund position holding company, and acquiring announcement information and corresponding comment information issued by a corresponding company;

according to the industry fields of the fund position company, information retrieval is carried out in professional websites corresponding to the industry fields to obtain corresponding industry retrieval information;

establishing an evaluation model, acquiring stock trends and fund trends of corresponding position holding companies, integrating the stock trends, the fund trends, announcement information, comment information and industry retrieval information, and marking the integrated information as evaluation input data; inputting the evaluation input data into an evaluation model to obtain an evaluation result, wherein the evaluation result is the trend prediction of the fund on the same day;

and integrating and marking the trend prediction information, the notice information, the comment information and the industry retrieval information of the fund on the same day as a retrieval result.

6. The system of claim 5, wherein the acquired announcement information, comment information and industry search information are subjected to data deduplication.

7. The system of claim 3, wherein the real-time interaction system of fund information based on block chain,the smaller the value of j is for the date specific gravity coefficient,the larger.

8. The system of claim 3, wherein the method for modifying the data collected by the fund evaluation value collecting unit by the modifying module comprises:

acquiring the acquired daily fund estimated value and fund estimated stable value alpha_iEstablishing a correction model, and calculating the current day fund estimated value and the fund estimated value stable value alpha_iAnd inputting the correction model to obtain a correction estimation value.

Background

Funds broadly refer to a certain amount of funds set up for a certain purpose. Mainly comprises trust investment funds, accumulation funds, insurance funds, retirement funds and funds of various fund meetings. From an accounting perspective, fund is a narrow concept meaning funds with a specific purpose and use. The fund referred to herein is primarily a security investment fund. There are open funds and closed funds, depending on whether the fund unit is added or redeemed. The open fund is not marketed for trading, is applied for buying and redeemed through banks, security traders and fund companies, and has unfixed fund scale; the closed fund has a fixed duration and is generally marketed and traded in a security trading place, and an investor purchases and sells fund units through a secondary market.

However, at present, after a user purchases a fund or wants to know the fund, a detailed knowledge and communication channel is lacked, most fund purchasing users lack relevant professional knowledge and have blindness, so that the users need a system capable of interacting in real time to help the users to know the fund dynamics in time.

Disclosure of Invention

In order to solve the problems existing in the scheme, the invention provides a fund information real-time interaction system based on a block chain.

The purpose of the invention can be realized by the following technical scheme:

a fund information real-time interaction system based on a block chain comprises a data acquisition module, an interaction module, a correction module, a storage module and a server;

the data acquisition module comprises a fund evaluation acquisition unit and a fund information acquisition unit, wherein the fund evaluation acquisition unit is used for acquiring evaluation value information of the fund on the day selected by the user, and the fund information acquisition unit is used for recommending dynamic information of a fund position company according to the fund selected by the user;

the correction module is used for correcting the data acquired by the fund evaluation acquisition unit and sending the corrected data to the interaction module;

the interaction module is used for establishing an interaction channel with a user, sending the received information to the user through the interaction channel and receiving the information sent by the user.

The system further comprises a block chain module, wherein the block chain module is used for distributing and storing the registration information and the fund information of the user.

Further, the method for collecting the estimation information of the fund day selected by the user by the fund estimation collecting unit comprises the following steps:

step SA 1: acquiring a fund platform with a fund evaluation value, and marking the acquired fund platform as i;

step SA 2: obtaining historical valuation data and historical net valuation data of the fund corresponding to the fund platform, and marking the historical valuation data as P_ijMarking the historical net worth data as L_ij；

Step SA 3: according to the formulaObtaining a stable value alpha of the fund estimated value_iEstimate the stable value alpha of the fund_iSorting is carried out, and the stable value alpha of the fund evaluation value arranged first is_iThe corresponding fund platform is used as a data acquisition source of the user fund evaluation value;

step SA 4: and obtaining the current day evaluation value of the user fund on the corresponding fund platform.

Further, the method for the fund information collection unit to recommend the dynamic information of the fund position company according to the fund selected by the user comprises the following steps:

step SB 1: acquiring the information of the fund position holding company according to the fund position holding information;

step SB 2: and establishing a retrieval unit, inputting the fund position holding company information into the retrieval unit for retrieval, obtaining a retrieval result, and sending the retrieval result to the interaction module.

Further, the method of inputting the fund position company information into the retrieval unit for retrieval in the step SB2 includes:

retrieving in a security trading platform according to the name of a fund position holding company, and acquiring announcement information and corresponding comment information issued by a corresponding company;

according to the industry fields of the fund position company, information retrieval is carried out in professional websites corresponding to the industry fields to obtain corresponding industry retrieval information;

establishing an evaluation model, acquiring stock trends and fund trends of corresponding position holding companies, integrating the stock trends, the fund trends, announcement information, comment information and industry retrieval information, and marking the integrated information as evaluation input data; inputting the evaluation input data into an evaluation model to obtain an evaluation result, wherein the evaluation result is the trend prediction of the fund on the same day;

and integrating and marking the trend prediction information, the notice information, the comment information and the industry retrieval information of the fund on the same day as a retrieval result.

Further, the acquired notice information, comment information and industry retrieval information are subjected to data deduplication.

Further, the air conditioner is provided with a fan,the smaller the value of j is for the date specific gravity coefficient,the larger.

Further, the method for correcting the data acquired by the fund evaluation acquisition unit by the correction module comprises the following steps:

acquiring the acquired daily fund estimated value and fund estimated stable value alpha_iEstablishing a correction model, and calculating the current day fund estimated value and the fund estimated value stable value alpha_iAnd inputting the correction model to obtain a correction estimation value.

Compared with the prior art, the invention has the beneficial effects that: the fund valuation is selected from a plurality of fund platforms to be accurate through the setting of the fund valuation acquisition unit, so that the acquired fund valuation is more accurate, and better investment information is provided for users; through the setting of fund information acquisition unit, provide more relevant information of fund for the customer, provide more specialty and accurate information reading for the user simultaneously, through the setting of interaction module for the channel that has possessed the communication between user and this system can be with timely the sending of fund information who obtains for the user, and the user can input keyword information through the interaction channel and retrieve, retrieves the information that wants to know, avoids the user can not in time know the fund information.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic block diagram of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, a real-time fund information interaction system based on a block chain comprises a data acquisition module, an interaction module, a correction module, a storage module, a block chain module and a server;

the block chain module is used for distributing and storing registration information and fund information of the user, the registration information is identity information registration carried out by the user before using the system, and is not limited to information such as name, age, contact way, investment experience and the like, and the fund information is fund information added by the user and can be fund purchased by the user or fund which needs to be paid attention by the user;

the data acquisition module comprises a fund evaluation acquisition unit and a fund information acquisition unit, wherein the fund evaluation acquisition unit is used for acquiring evaluation value information of the fund selected by the user on the same day, the fund information acquisition unit is used for recommending dynamic information of a fund position holding company according to the fund selected by the user, and the fund position holding company is a position holding company published according to the fund, namely which stock is bought by the fund;

the correction module is used for correcting the data acquired by the fund evaluation acquisition unit and sending the corrected data to the interaction module;

the interactive module is used for establishing an interactive channel with a user, sending the received information to the user through the interactive channel and receiving the information sent by the user;

the method for collecting the estimation information of the fund day selected by the user by the fund estimation collecting unit comprises the following steps:

step SA 1: acquiring fund information added by a user, acquiring fund platforms with the fund evaluation value according to the fund information, namely, the fund platforms can see the current day evaluation value of the fund, and marking the acquired fund platforms as i, wherein i =1, 2, … … and n is the number of the acquired fund platforms;

step SA 2: obtaining historical valuation data and historical net valuation data of a fund corresponding to a fund platform, wherein the fund platform is a fund platform with a fund added by a user, and the historical valuation data is marked as P_ijMarking the historical net worth data as L_ijJ is the date corresponding to the acquired historical evaluation data and the historical net value data, j =1, 2, … …, m, j =1 represents the date of the day of data acquisition, j =2, the data of the day before the data acquisition, and so on;

step SA 3: according to the formulaObtaining a stable value alpha of the fund estimated value_iWhereinThe date proportion coefficient can be discussed and set according to an expert group or is judged according to the learning of a neural network model, and the basic principle is that the smaller j is, the larger the proportion is; estimate the fund to stabilize the value alpha_iSorting is carried out, and the stable value alpha of the fund evaluation value arranged first is_iThe corresponding fund platform is used as a data acquisition source of the user fund evaluation value;

step SA 4: acquiring the current day valuation of the user fund on the corresponding fund platform;

the fund valuation is selected from a plurality of fund platforms to be accurate through the setting of the fund valuation acquisition unit, so that the acquired fund valuation is more accurate, and better investment information is provided for users;

the method for recommending the dynamic information of the fund position company according to the fund selected by the user by the fund information acquisition unit comprises the following steps:

step SB 1: acquiring position taking information of a fund selected by a user, and acquiring position taking company information of the fund according to the position taking information;

step SB 2: the method comprises the steps of establishing a retrieval unit, wherein the retrieval unit is used for retrieving information issued by a corresponding company according to fund position company information; inputting the fund position holding company information into a retrieval unit for retrieval to obtain a retrieval result, and sending the retrieval result to an interaction module;

through the arrangement of the fund information acquisition unit, more fund related information is provided for the client, more professional and accurate information interpretation is provided for the user, and the user is prevented from being induced by the content in the security dealer platform;

the method for inputting the fund position holding company information into the retrieval unit for retrieval in the step SB2 comprises the following steps:

acquiring the name of a fund position holding company and the belonging industry field, searching in a security trading platform according to the name of the fund position holding company, and acquiring announcement information issued by a corresponding company and corresponding comment information;

according to the industry field of the fund position company, information retrieval is carried out in the professional website corresponding to the industry field, and the retrieved content comprises policy information, industry information, sales information, financial information and other information;

the acquired notice information, comment information and industry retrieval information are subjected to data deduplication, namely the same information and repeated information are deleted;

establishing an evaluation model, acquiring stock trends and fund trends of corresponding position holding companies, integrating the stock trends, the fund trends, announcement information, comment information and industry retrieval information, and marking the integrated information as evaluation input data; inputting the evaluation input data into an evaluation model to obtain an evaluation result, wherein the evaluation result is the trend prediction of the fund on the same day;

integrating and marking the trend prediction information, the notice information, the comment information and the industry retrieval information of the fund on the same day as a retrieval result;

the method for establishing the evaluation model comprises the following steps:

acquiring evaluation historical data, wherein the evaluation historical data comprises stock trends, fund trends, announcement information, comment information and industry retrieval information; setting an evaluation result for evaluating the historical data; constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network; dividing evaluation historical data and corresponding evaluation results into a training set, a test set and a check set according to a set proportion; the set proportion comprises 4: 3: 2. 3: 2: 1 and 3: 1: 1; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as an evaluation model;

the method for correcting the data acquired by the fund evaluation acquisition unit by the correction module comprises the following steps:

acquiring the acquired daily fund estimated value and fund estimated stable value alpha_iEstablishing a correction model, and calculating the current day fund estimated value and the fund estimated value stable value alpha_iInputting the data into a correction model to obtain a correction estimated value;

the method for establishing the correction model comprises the following steps:

acquiring fund historical data, wherein the fund historical data comprises historical evaluation values and fund evaluation stable values alpha_i(ii) a Acquiring a corresponding net fund value; constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network; dividing the fund historical data and the corresponding fund net value into a training set, a test set and a check set according to a set proportion; the set proportion comprises 4: 2: 2. 3: 2: 1 and 3: 1: 1; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as a correction model;

the working process of the interaction module comprises the following steps:

establishing an interaction channel with a user, for example: the public number, the group chat and the like send the received retrieval result and the corrected fund valuation data to the user through the interactive channel, the user looks up the sent information through the interactive channel, and can set information source shielding through the interactive channel, namely shielding the information source, for example: the users can also input keyword information for retrieval through an interaction channel to retrieve information which is required to be known;

through the setting of the interaction module, a communication channel is provided between the user and the system, the obtained fund information can be timely sent to the user, the user can input keyword information through the interaction channel for retrieval, information which the user wants to know is retrieved, and the user is prevented from being unable to timely know the fund information.

The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.

The working principle of the invention is as follows: the method comprises the steps of distributing and storing registration information and fund information of a user, collecting valuation information of a fund selected by the user on the current day, obtaining fund information added by the user, obtaining a fund platform with a fund valuation according to the fund information, marking the obtained fund platform as i, obtaining historical valuation data and historical net valuation data of the fund corresponding to the fund platform, and marking the historical valuation data as P_ijMarking the historical net worth data as L_ijAccording to the formulaObtaining a stable value alpha of the fund estimated value_iThe basic principle is that the smaller j is, the larger the occupied proportion is; estimate the fund to stabilize the value alpha_iSorting is carried out, and the stable value alpha of the fund evaluation value arranged first is_iCorresponding fund platform as userA data acquisition source of fund valuation; acquiring the current day valuation of the user fund on the corresponding fund platform;

recommending dynamic information of the fund position-taking company according to the fund selected by the user, acquiring position-taking information of the fund selected by the user, and acquiring position-taking company information of the fund according to the position-taking information; establishing a retrieval unit, inputting the information of the fund position taking company into the retrieval unit for retrieval, acquiring the name of the fund position taking company and the belonging industry field, retrieving in a stock exchange platform according to the name of the fund position taking company, and acquiring the notice information issued by the corresponding company and the corresponding comment information; according to the industry fields of the fund position company, information retrieval is carried out in professional websites corresponding to the industry fields to obtain corresponding industry retrieval information; acquiring evaluation historical data, wherein the evaluation historical data comprises stock trends, fund trends, announcement information, comment information and industry retrieval information; setting an evaluation result for evaluating the historical data; constructing an artificial intelligence model; dividing evaluation historical data and corresponding evaluation results into a training set, a test set and a check set according to a set proportion; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as an evaluation model; acquiring stock trends and fund trends of corresponding position holding companies, integrating the stock trends, the fund trends, announcement information, comment information and industry retrieval information, and marking the integrated information as evaluation input data; inputting the evaluation input data into an evaluation model to obtain an evaluation result, wherein the evaluation result is the trend prediction of the fund on the same day; integrating and marking the trend prediction information, the notice information, the comment information and the industry retrieval information of the fund on the same day as a retrieval result; obtaining a retrieval result and sending the retrieval result to an interaction module;

correcting data acquired by the fund evaluation acquisition unit and sending the corrected data to the interaction module; establishing an interaction channel with a user, sending the received information to the user through the interaction channel, and receiving the information sent by the user; acquiring the acquired daily fund estimated value and fund estimated stable value alpha_iEstablishing a correction model, and calculating the current day fund estimated value and the fund estimated value stable value alpha_iAnd inputting the correction model to obtain a correction estimation value.

In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.

It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.

The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.

Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.