WO2022270733A1 - Blockchain-based prediction information provision, assessment and authentication platform system - Google Patents

Blockchain-based prediction information provision, assessment and authentication platform system Download PDF

Info

Publication number
WO2022270733A1
WO2022270733A1 PCT/KR2022/005618 KR2022005618W WO2022270733A1 WO 2022270733 A1 WO2022270733 A1 WO 2022270733A1 KR 2022005618 W KR2022005618 W KR 2022005618W WO 2022270733 A1 WO2022270733 A1 WO 2022270733A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
prediction
prediction information
blockchain
evaluation
Prior art date
Application number
PCT/KR2022/005618
Other languages
French (fr)
Korean (ko)
Inventor
이승백
김병곤
Original Assignee
주식회사 모두리치
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 주식회사 모두리치 filed Critical 주식회사 모두리치
Publication of WO2022270733A1 publication Critical patent/WO2022270733A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Asset management; Financial planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/04—Payment circuits
    • G06Q20/06—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/04—Payment circuits
    • G06Q20/06—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
    • G06Q20/065—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme using e-cash
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/36—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/12—Applying verification of the received information
    • H04L63/123—Applying verification of the received information received data contents, e.g. message integrity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/40—Network security protocols
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees

Definitions

  • the present invention relates to a prediction information providing platform system, in particular, a blockchain-based prediction information provision, evaluation and certification platform that manages and services prediction information for various types of assets such as stocks, cryptocurrency and real estate based on blockchain technology. It's about the system.
  • Subjects that provide existing forecast information are largely divided into institutional and non-institutional. There are securities companies and investment advisory companies in the institutional sector, and quasi-investment advisory companies in the non-institutional sector.
  • the evaluation of existing predictive information companies is mainly focused on how to evaluate information providers called 'analysts' or 'experts'.
  • the method of evaluation can serve as a criterion, but it does not guarantee fairness or transparency of evaluation.
  • Patent Document 1 Patent Registration No. 10-1119346 (Public date: 2012.03.06.)
  • Patent Document 2 Registered Patent Publication No. 10-2029455 (Public date: 2019.11.08.)
  • the present invention has been made to solve the above-described problems, and the present invention issues NFTs when information providers such as analysts post prediction information for investment in assets such as stocks and cryptocurrencies to the platform.
  • NFTs when information providers such as analysts post prediction information for investment in assets such as stocks and cryptocurrencies to the platform.
  • the blockchain-based prediction information provision, evaluation and authentication platform system when prediction information for one or more items belonging to a specific asset is input from one or more information provider terminals, A chain API that generates smart contracts to post prediction information on the web, creates NFTs for the prediction information and records them in a blockchain network, and provides services related to system use of one or more information user terminals and search for the prediction information. It may include an API server that implements, a batch server that processes one or more functions related to the statistics of the prediction information, and a worker server that provides one or more functions related to notification of one or more events occurring in the system.
  • the prediction information includes a unique prediction number, and for any one item, forecast date, exchange classification, item code, prediction classification - the prediction classification is defined as rising, flat, falling -, average unit price, purchase price, It may include one or more of the bid price, target price, stop loss, proportion, and forecast period.
  • the chain API can issue tokens and wallets used as compensation for posting the prediction information and costs for viewing.
  • the API server is a common service that provides item master information, stock market schedule, item inquiry, and comment functions for the prediction information, membership registration, withdrawal, login, logout, identity authentication, and user authentication of the information provider and information user.
  • User service that provides information search, change, and following or unfollowing functions, ranking service that provides ranking event search and user ranking search function, product search, promotion search, payment request, payment cancellation, payment history search, and tokens Pay service that provides a history inquiry function, insight service that provides registration and search function of the forecast information, KOSCOM service that provides real-time quote information search and chart information search function for stocks, wallet creation, token transfer, and points and A wallet service that provides a conversion function between tokens, a voting service that provides a function to view prediction information that can be voted on by information users and vote sympathy for prediction information, and token deposit, cancellation, and interest compensation for token deposit Among staking services that provide a receiving function, one or more may be provided.
  • the batch server has a caching batch function of item master data including item code and item name, a caching batch function of real-time quotes of all items, a caching batch function of daily high and low data of all items, and statistical information on prediction hit rate for prediction information.
  • One or more of a function, a stream transmission processing function for real-time market prices, and a stream transmission processing function for real-time prediction information may be provided.
  • the worker server includes a notification listener for receiving e-mail, text messages and push notifications from information providers and information users, a PayCallback listener for receiving callbacks for payment completion and payment cancellation, and an EformCallback listener for receiving callbacks for electronic payment completion , a SignalCallback listener that receives a callback for the completion of the real-time purchase success event, a BlashCallback listener that receives a callback for the completion of the target price and stop-loss event, and a Reward listener that receives compensation for successful prediction information. can provide more.
  • User information about information providers and information users, user status information - The user status information includes activity status, ratings and hit rates of information providers and information users -, event master information, prediction information, ranking information about information providers, It may include a database server that stores one or more of information user's subscription information and payment history.
  • the investor can check the statistical information of the information provider to recognize the expected hit value and view the information. there is.
  • the information provider's authority is not divided into qualifications or careers, but only the hit rate for the result of the prediction information, so that the accuracy of the information becomes the reliability of the information subject, and the accessibility to the prediction information It has the effect of providing an alternative to investment information that is circulated at high prices through illegal channels by lowering and popularizing it.
  • prediction texts and hit rate statistics can be issued using NFT, which is a means of investment advice, verification of investment prediction skills popularized in the stock price prediction market, and authentication where there is no certified evaluation method. There is an effect that can be presented.
  • FIG. 1 is a diagram schematically showing the configuration according to the main functions of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
  • FIG. 2 is a diagram specifically showing the structure of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • FIG. 3 is a diagram illustrating a graph for explaining a method for evaluating success and failure of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • FIG. 4 is a diagram showing a prediction information registration procedure of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
  • FIG. 5 is a diagram showing a statistical calculation procedure of a hit rate for predictive information of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • 6A and 6B are diagrams illustrating an event processing routine by a blockchain-based prediction information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • FIGS. 7a to 7c are diagrams illustrating event processing procedures of a blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention.
  • each function implemented in the system of the present invention may be composed of a module unit program, and may be recorded in one physical memory or distributed between two or more memories and recording media.
  • blockchain-based prediction information provision, evaluation and certification platform system of the present invention may be abbreviated as “prediction information provision, evaluation and certification platform system” or “system” for convenience of description. .
  • FIG. 1 is a diagram schematically showing the configuration according to the main functions of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
  • a blockchain-based prediction information provision, evaluation and certification platform system 100 provides an Internet-based investment prediction information provision service covering stocks and cryptocurrencies, It is connected to one or more information provider terminals 10 and information user terminals 20 through the web (Web) or application-based asset-related prediction information registration, provision, evaluation and analysis services can be provided.
  • Web web
  • application-based asset-related prediction information registration, provision, evaluation and analysis services can be provided.
  • the system 100 of the present invention is a platform service system that gives added value to information by disclosing prediction information for investment, which is voluntarily prepared and uploaded by a plurality of information providers, to a plurality of information users who have registered as members.
  • the above information providers can access the system 100 through their information provider terminal 10, receive stock prices, virtual currencies, and other prediction information that anticipates price fluctuations for themselves and post them online, It is possible to provide an environment in which one or more information users access the system 100 from their information user terminal 20 through a web or application and use the posted prediction information.
  • the system 100 can operate the prediction information store 101 that posts prediction information uploaded from the information provider terminal 10 online, and the information user can operate the information user terminal Through (20), desired investment information can be obtained through the prediction information posted in the prediction information store 101.
  • the information provider may be an analyst, and such information provider may create and upload target price/stop loss, buy/sell/neutral opinion, period, and evidence for stocks or cryptocurrencies as forecast information.
  • the system 100 may provide compensation for providing such prediction information.
  • system 100 is equipped with a search engine and provides an information provider search function 103 through the search engine, so that information users can search for or receive recommendations from a number of information providers registered in the system 100, and they upload Forecast information can be checked.
  • the information user can connect to the prediction information store 101 of the system 100 using the information user terminal 20 such as a smartphone or tablet PC, check the posted prediction information, and vote sympathy for the prediction information. You can present your opinion by performing, you can compare each information provider, or you can enter subscription settings and evaluation for a specific information provider.
  • the system 100 may provide information users with compensation for contributing to the platform ecosystem according to these actions.
  • system 100 may provide a prediction evaluation function 105 for a plurality of registered prediction information, and the system 100 performs scoring and leveling on the registered plurality of prediction information. ), it is possible to provide a predictive hit rate analysis function 107 that analyzes the predicted hit rate.
  • prediction information provided by the system 100 may be classified into two types.
  • the information provider presents the target price of a stock item or cryptocurrency that is expected to rise, evaluates the actual rate of return, and presents the purchase range, stop loss, and investment ratio.
  • 'BLASH' can be further divided into paid BLASH and free BLASH, and information providers can create paid BLASH only when the rate of return passes the standard by writing free BLASH.
  • the system 100 may evaluate whether the prediction information is correct in real time.
  • the blockchain-based prediction information providing platform system 100 provides the above-mentioned services, and stores articles predicting the future value of stocks and cryptocurrencies through smart contracts using blockchains. This makes forgery and falsification of information nearly impossible, and the result of the prediction is issued as NFT, and the hit rate for each evaluator is issued as NFT at the desired time, so that evaluation can be authenticated.
  • the system 100 allows anyone who has subscribed to the service to register without restrictively granting the right to create investment prediction information to a specific person.
  • the blockchain-based predictive information provision, evaluation, and authentication platform system is a platform in which a plurality of information providers and information users share information through the system, and information providers are free to Upload investment opinions you think and post them online, information users check and evaluate the uploaded opinions, and these participants can receive compensation for their actions.
  • FIG. 2 is a diagram specifically showing the structure of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • Chain API 110 that generates smart contracts to post prediction information on the web, creates NFTs for the prediction information and records them in the blockchain network 115, and uses the system of one or more information user terminals 20
  • an API server 120 implementing a service related to searching for prediction information
  • a batch server 130 processing one or more functions related to statistics of prediction information, and one related to notification of one or more events occurring in the system.
  • a worker server (140) providing the above functions, a database (150) for storing various data including prediction information, a real-time event handler (170) for processing events occurring in real time when providing services, and an external system It may include an extension interface API 180 for using the API of.
  • Chain API 110 as the system 100 of the present invention is implemented based on blockchain technology, wallet creation, token issuance, token transfer, smart contract creation/execution/call, and NFT creation through blockchain-related APIs can be performed. Also, “Klaytn” can be used as a blockchain platform.
  • chain API 110 may perform wallet creation, token issuance, token transfer, NFT creation, and smart contract creation based on the aforementioned functions.
  • NFT Non-Fungible Token
  • NFT (D1) can be issued in two types: a single prediction result and a predicted hit rate for the last 6 months, and in the present invention, a report is automatically created as a PDF file for the single prediction result of all prediction articles. It can be issued as an NFT. Reports are created based on the components of BLASH, such as hit rate and return rate, and Insight can process non-applicable areas as blanks in the same component.
  • the information provider who is a producer of prediction information, can issue a prediction hit rate report for the last 6 months as NFT (D1) at a desired time. It is issued based on the time of request and can be made as a PDF file in the form of a report.
  • NFT (D1) may include various statistics such as post registration log and hit rate.
  • Smart Contract plays a role such as recording the prediction information input by the information provider in the blockchain and issuing tokens and NFTs. network 115.
  • Such prediction information may include a unique number, forecast date and time, exchange classification (KRX), item code, prediction classification (rising/stabilizing/declining), rating, purchase low, purchase high, target price, stop loss, proportion and forecast period. there is.
  • the API server 120 can implement various services provided by the system 100, and can implement various services similar to conventional web services.
  • the services provided by the API server 120 include a common service that provides functions such as item master information, stock market schedule, item inquiry, like and report, and user subscription.
  • Evaluation of user services (UserService) related to users such as withdrawal, login, logout, identity verification, user information inquiry, user information change, following and unfollowing, and information providers such as ranking event inquiry and user ranking inquiry Ranking service related to (RankingService), pay service related to costs such as product inquiry, promotion inquiry, payment, payment cancellation, payment history inquiry and coin history inquiry, and prediction information related to prediction information such as registration and inquiry of prediction information Insight Service (InsightService), KOSCOM Service (KOSCOMService) for providing securities-related information, such as real-time quote information inquiry and chart information inquiry, and cryptocurrency-related payment methods, such as wallet creation, coin transfer, point, coin conversion, etc.
  • Wallet service (WalletService) information on prediction information such as voting prediction information inquiry and prediction information sympathy voting, Voting service related to user evaluation, and cryptocurrency staking, such as coin deposit, cancellation, and interest
  • the batch server 130 is a server for batch processing for rapid processing when searching, extracting, and transmitting data, and has a caching batch function of item master data including item codes and item names, and a caching batch of real-time quotes for all items. function, caching arrangement function of all daily high and low data, caching arrangement function of statistical information on prediction hit rate for prediction information, notification of scheduled transition to dormant state according to access records of information providers and information users, and Of the dormant processing function, notification of points to be expired among points held by information providers and information users, processing function of extinction according to expiration, function of stream transmission processing for real-time market prices, and processing function of stream transmission of real-time prediction information , can provide more than one.
  • the predictive hit rate statistics arrangement function may specifically process requests related to prediction success and completion, hit rates, profit rate statistics, user ratings, and user rankings.
  • item masters and real-time quotes can be quickly transferred through a cache server 135.
  • the worker server 140 plays a role of notifying the system when the current status of a subject changes or an event occurs, and notification listeners that receive e-mails, text messages, and push notifications from information providers and information users, payment completion and , PayCallback listener for receiving callback for payment cancellation, EformCallback listener for receiving callback for electronic payment completion, SignalCallback listener for receiving callback for completion of real-time purchase success event, and completion of target price and stop loss reaching event.
  • a BlashCallback listener receiving a callback for prediction information and a Reward listener receiving compensation for successful prediction information can be provided.
  • the database 150 may store various information and setting values required for operating the system.
  • user information for information provider and information user account, password and member management, user status information such as member activity status, rating and hit rate, event master information, prediction information, ranking information, subscription history and payment history, etc. can be saved.
  • the real-time event handler 170 processes the response of the system 100 when an event occurs. As an example, when a real-time purchase success event occurs or a target price/stop loss reached event occurs, it can be processed.
  • a user's action occurs in the API server 120 or a set situation, for example, when a stock price rises or falls above a certain level, it may be recognized as an event occurrence, and a response may be generated and transmitted to a related process.
  • pub/sub messages between servers may be stored in the queue 175 and transmitted.
  • This message queue 175 can process batch work for processing large amounts of data or asynchronous data, and can guarantee work. Scalability is considered in this function.
  • the extension interface API 180 may support various APIs provided by external systems.
  • Toast Notification API for implementing a function of outputting a toast notification message on the screen of the information user terminal 20, Iamport Pay API for payment processing, and a simple authentication function for users are provided.
  • PASS user authentication API to provide, eForm electronic contract API for electronic contract, and Open API provided by KOSCOM.
  • the blockchain-based prediction information providing platform system can provide a prediction information sharing service based on blockchain technology.
  • anyone who has authenticated himself and signed up as a service member can make a prediction and receive an evaluation, and then, according to the accumulated statistics as a result of the evaluation, the authority related to information registration for each user is granted. It can be given separately.
  • the aforementioned authority is a criterion for assigning ratings in the system, and as the ratings are also disclosed together with information, information users can guess the expected success of prediction texts by checking only the ratings of information providers.
  • information users can utilize the predicted information they have viewed, add value to the information by voting for the predicted information they sympathize with, and receive rewards according to the value of the information and the contribution of the participants as the token economy is introduced to the platform.
  • tokens in the system are a means that can be acquired as a reward for services and consumed when viewing, and can maintain and develop the ecosystem of services according to the designed token economy.
  • the introduction of token economy has the effect of increasing the accessibility of investment information.
  • a target price serving as a standard when evaluating prediction information may be set.
  • These insight targets can be divided into basic targets and designated targets.
  • the basic goal is set in advance for each period of the insight, 5% in the short term, 10% in the medium term, and 15% in the long term. This is the criterion for determining success.
  • the designated target is an arbitrary target price designated by the creator and must be higher than the basic target.
  • Drop Insight becomes a low value.
  • whether or not the designated goal is reached does not affect success or failure, but becomes a criterion for calculating the disparity rate, which is an auxiliary indicator.
  • a 'BLASH' purchase success policy may be applied.
  • 'BLASH' is an abbreviation of 'Buy Low And Sell High', which presents the optimal trading time to information users. point Such 'BLASH' may be granted limited use rights only to paid information users.
  • the information provider must enter the bid high price and the bid low price when preparing forecast information, and the price suggested in the forecast information must stay within the range of the bid high price and the bid low price for more than 5 minutes to succeed in the purchase. can be recognized as Only when the purchase is successful, the prediction is considered to have started, and the evaluation proceeds. If the purchase is finally unsuccessful, it is invalidated, and the 'BLASH' qualification for the information provider is recognized.
  • information providers can send tracking, holding, and selling signals.
  • Purchasing is a signal that allows additional purchases by adding a weight in increments of 5%
  • selling is a signal that ends BLASH by immediately selling the proportion purchased at the present time.
  • information users who have read 'BLASH' and set notifications that is, paid members, can be notified of signals from information providers of 'BLASH' level in real time.
  • FIG. 3 is a diagram illustrating a graph for explaining a method for evaluating the success and failure of a blockchain-based predictive information providing platform system according to an embodiment of the present invention.
  • the method for evaluating predictive information will be described with reference to the drawings.
  • the following evaluation method is based on stocks, but cryptocurrency can also be evaluated in the same way.
  • the evaluation result may be added to the prediction information prepared by the information provider and displayed together in one post.
  • the main indicator of Insight is the success rate, and the target price disparity rate, profit rate, and target price reach rate can be indicated as auxiliary indicators. This is an indicator that determines how accurately the target price has been approached, and is an indicator that can measure the accuracy of prediction.
  • the success rate (prediction success rate) is the main indicator. If the minimum standard value for each period is reached within the forecast period, it is judged as success, and if the minimum standard value for each period is not reached within the forecast period, it is judged as failure. As a detailed condition thereof, a success rate is displayed when at least 10 cases are present, the range is 0.0% to 100.0%, and the success rate can be calculated by Equation 1 below.
  • the target price achievement (reach) rate is an indicator for measuring when the target falls below or exceeds the standard, and the range is '-infinity' to '+infinity', and the result of rising and falling is each of the following equations It can be calculated as 2 or 3.
  • the target price divergence ratio indicates the ratio of the difference between the target price and the actual stock price, and the range is 0.0 to infinity, and the rise, plateau, and fall of the divergence ratio can be calculated by the following Equations 4, 5, and 6, respectively. there is.
  • the range of return is '-infinity' to '+infinity', target return (rising), target return (falling), maximum expected return when rising and falling, cumulative maximum expected return, average maximum expected return, and
  • the monthly average maximum expected rate of return can be calculated by Equations 7 to 13 below, respectively.
  • the above-mentioned 'BLASH' uses the rate of return on assets as the main indicator, and the success rate and rate of return on investment can be used as auxiliary indicators.
  • the information provider of 'BLASH' has a weight of 100%, and weight can be added in units of 5% when writing 'BLASH'.
  • the rate of return on assets means the rate of return that can be obtained when all investments are made with a proportion of 100%. .
  • index used when evaluating 'BLASH' can be defined as follows.
  • the bid high is the base price
  • the bid low is equal to or lower than the current price
  • the stop loss is lower than the bid low.
  • Equations 14 and 15 the minimum target price and minimum stop loss can be calculated by Equations 14 and 15 below.
  • total assets is a fixed constant value, that is, the value entered by the information provider, the purchase price is 'total assets ⁇ proportion', the number of shares purchased is 'purchase price ⁇ purchase base price', and the number of stocks held is 'SUM (number of shares purchased)' ,
  • the average price (base price) is 'SUM (purchase price) ⁇ number of shares held', the selling amount is 'base selling price ⁇ number of shares held', and the evaluation amount can be calculated as 'price at the time of evaluation x number of shares held'.
  • the main indicator of 'BLASH' is the return on assets, the range is '-infinity' ⁇ '+infinity', the return on assets (realized) is 'return on investment amount (realized) ⁇ proportion', and the return on assets (evaluation) ) is 'Return to Investment Amount (Evaluation) ⁇ Proportion', Return to Total Assets is 'SUM (Return to Assets (Evaluation)) + SUM (Return to Assets (Realization))', and Return to Total Assets (Accumulated) is ' It can be calculated as 'Return on Total Assets' (SUM).
  • the calculation period is the last 6 months, and if the calculation period is more than 30 days and less than 30 days, the total return on assets (months) can be calculated by the following Equations 16 and 17, respectively.
  • 'BLASH' can use the rate of return relative to the investment amount as an auxiliary indicator.
  • the rate of return against the investment amount can be calculated by Equations 18 to 21 below.
  • the current rate of return can be used as an auxiliary indicator.
  • the current rate of return can be calculated by Equation 22 below.
  • the target price can be calculated as 'pyeong unit price (standard price) ⁇ (1 + target rate of return)'.
  • the stop-loss price can be calculated as 'average price (standard price) ⁇ (1+maximum stop-loss ratio)'.
  • the range of the success rate becomes 0.0% to 100.0%.
  • the result of the above-mentioned 'BLASH' prediction information can be judged by the following criteria. If the target price is reached after entering the buying band within the period, it is a success. If the target price is exceeded before reaching the target price after entering the buying band within the period, it is a profit. If the stop loss is reached after entering the buying band within the period, it is a failure. , If you enter the buying band within the period and exit without reaching the stop loss while breaking through the buying band, it is Fail_Loss End. If it ends without entering the buy band, it may be judged invalid.
  • the target price achievement rate can be used, the range is '-infinity to +100%', and the result when the target price achievement rate rises and falls can be calculated by Equations 24 and 25, respectively.
  • a target price gap ratio can be used, and the range is '0.0 to infinity', and this target price gap ratio can be calculated by Equation 26 below.
  • the system may derive statistics on whether an individual event is hit or not according to the above-described evaluation method, and may assign a grade to an information provider of prediction information.
  • the system may apply the following criteria in assigning a rating to an information provider.
  • the content that is the criterion for rating is limited to content that has been evaluated in the last 6 months. Evaluations after 6 months are not reflected in the rating, only statistical information is provided. In addition, it is divided into 11 stages based on the number of insights created and the hit rate, and only users who have reached a certain level set by the service can write 'BLASH'.
  • the paid BLASH creation right may be revoked.
  • two evaluation criteria must be passed at the same time: the hit rate of Insight and the return rate of 'BLASH'.
  • the system activates the system and maintains the ecosystem by recruiting more users by providing various rewards to information providers who provide prediction information.
  • the system may provide compensation according to the type of prediction information when prediction is successful. Specifically, in the case of Insight, a fixed amount of basic compensation and additional compensation in proportion to the amount of voting can be paid. In addition, in the case of 'BLASH', additional compensation can be paid in proportion to the basic reward and the amount of voting received, as well as additional compensation in proportion to the target rate of return.
  • an information user can vote on prediction information of an information provider.
  • voting can be performed using the Voting Power (VP) possessed by the information provider, and VP is the right to vote for content that the user viewing the prediction information sympathizes with.
  • VP Voting Power
  • the system may pay a reward to the voting participant.
  • the basic reward BLASH can be set higher than Insight, and the sum of the basic reward of flat rate and the additional reward determined in proportion to the amount of voting can be divided and paid according to the amount of voting used.
  • the prediction information provision, evaluation and authentication platform system may have a profit model by viewing the prediction information.
  • Prediction information in the system is classified as free or paid, and paid can be viewed using cryptocurrency.
  • advertisements may be linked to all content, and a revenue model in which advertisements are automatically played after voting may be applied.
  • FIG. 4 is a diagram showing a prediction information registration procedure of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
  • the information provider accesses the system using his or her terminal and registers as a member. , If the prediction information is input (S100), the system can perform upload after going through a registration availability check procedure.
  • the system checks the registration authority of the information provider (S101), checks whether the number of registrations is limited (S102), and if there is no problem, delisting or suspension of trading of the item subject to the input prediction information It is checked whether an item is available (S103).
  • the system checks the validity of the standard price and target price period of the prediction information (S104), checks whether the real-time market delay tolerance standard is exceeded (S105), and if all the above conditions are satisfied, it is determined that there is a possibility of registration. .
  • the system calculates the expected end date of the prediction information (S106), stores the prediction information in the database (DB) (S107), and stores the smart contract for recording the prediction information (S108). Subsequently, the investment ratio is updated (S109), and the forecast status statistics are changed to reflect the new forecast information to the statistics (S110).
  • the system transmits the prediction information as a real-time stream to the information user terminal of the information user who has subscribed to the information provider (S110), and processes the notification set to the follower (S111).
  • the blockchain-based prediction information provision, evaluation and authentication platform system can post prediction information created by an information provider online and provide it to information users.
  • FIG. 5 is a diagram showing a statistical calculation procedure of a hit rate for predictive information of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • the statistical information calculation procedure may be started at 17:00 every day according to the system setting, and the system caches closing price information (S201).
  • the system reconfirms whether the prediction information is successful for each prediction information (S202), and generates statistics about the current user hit rate (S203). According to the hit rate, the grade of each user, that is, the information provider, is promoted or demoted (S204), and ranking statistics for each user's hit rate are updated (S205). Subsequently, the system updates the predicted status statistics based on the updated contents (S206).
  • the step of reconfirming whether prediction information is successful can be subdivided into the following procedures.
  • this step S202 prediction information that has been omitted from evaluation can be included in confirmation and statistics.
  • the system searches for forecast information that has not been terminated (S2021), and determines whether the item subject to the forecast information has been delisted or suspended (S2022). If the item is delisted or suspended from trading, the prediction information is terminated as a failure (S2023), and the target price achievement rate, target price divergence rate, and rate of return according to the failure end are calculated (2024), and the procedure is terminated.
  • the system determines whether the target price has been reached (S2025). After calculating the variance rate and rate of return (2024), the procedure ends.
  • step S2025 it is determined whether the stop loss has been reached (S2027), and if it is reached, the failure end processing route (S2023, S2024) is performed, and if not, it is determined whether the prediction period ends (S2028) .
  • step S2028 if the prediction period ends in step S2028, the failure end processing route (S2023, S2024) is performed, and if not, the procedure for reconfirming whether the prediction information is successful or not is terminated as success.
  • 6A and 6B are diagrams illustrating an event processing routine by a blockchain-based prediction information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
  • the real-time quote and prediction information pipeline transmission routine (R1) inquires real-time quotes for all items from the KOSCOM API 185 every 2 seconds during the day, and from this, the cache server 135 caches item masters and real-time quotes.
  • the system processes the transmission of real-time quote streaming every 2 seconds, and the streaming data is stored in the message queue 175.
  • the system processes the transmission of real-time quote streaming every 5 seconds, and the streaming data is stored in the database 150 and also stored in the corresponding message queue 175.
  • the real-time event processing routine (R2) of successful purchase, target price, and stop loss the data stored in the message queue 175 is processed by the real-time event handler 170, and the event handler 170 performs stream reading, JSON parsing, If the price of the target item reaches the target price or stop loss through steps such as adding an event timestamp, sliding window, and returning a formatted table (Unnest), or if the purchase is successful, the result of event processing is sent to the corresponding message queue (175). Save.
  • the callback listener provided by the worker server 140 processes the purchase success, success or failure Store the processing details for the end in the database 150, and when the target is reached, store the compensation payment details in the database 150 through the Reward listener 146, and issue the NFT (D1) through the chain API 110 process by calling
  • the chain API 110 issues an NFT (D1) for a single prediction result report and stores it in the blockchain network 115.
  • the notification listener 141 calls the Toast Notification API 181 to send a notification to the information user terminal 20 in the form of SMS or push message.
  • FIGS. 7A to 7C are diagrams illustrating event processing procedures of a blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention.
  • the real-time event handler of the blockchain-based prediction information provision, evaluation, and authentication platform system reads the BLASH stream, extracts the target price and stop loss from the prediction information, and parses the JSON data to generate 'ROW' convert to object
  • a timestamp event is added to 'ROW' and a sliding window is created.
  • the sliding window means that data before and after ' ⁇ N (N is a natural number) time' from the current time is extracted every M (M is a natural number) time.
  • the event handler selects the last one, that is, the latest forecast information, receives the table value returned, compares it with real-time high and low data, determines whether the target price or stop loss has been reached, and when it is reached, delivers the result to JSON, PUB /SUB event is recorded and stored in the Callback message queue.
  • the event handler reads the OHLC stream to obtain real-time high and low data, parses the JSON data and converts it into a 'ROW' object, adds a timestamp event and creates a sliding window, and returns an OHLC list for 5 minutes per item. By selecting the highest and lowest price, you can refer to it when determining the target price and stop loss or when deciding when to buy.
  • the event handler reads the Signal stream to obtain purchase band information, parses JSON data and converts it into a 'ROW' object, adds a timestamp event and creates a sliding window, selects the latest purchase band information, and The value is returned and compared with real-time high and low data to determine whether the purchase price has been reached.
  • the event handler performs the purchase at that price, transfers the purchase result to JSON, records it in the PUB/SUB event, and stores it in the callback message queue.
  • event handler 175 message queue

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Computer Security & Cryptography (AREA)
  • Marketing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Technology Law (AREA)
  • Human Resources & Organizations (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Disclosed is a prediction information provision, assessment and authentication platform system. More specifically, the present invention relates to a blockchain-based prediction information provision platform system for, on the basis of blockchain technology, managing and servicing prediction information for various types of assets such as stocks, cryptocurrency and real estate, etc. According to one embodiment of the present invention, an information provider, such as an analyst, professional, etc., uploads investment information for a specific asset on the platform via a blockchain-based smart contract, and thus the effect is gained of guaranteeing integrity and enabling the value of the information to be acknowledged by means of an assessment thereof by multiple users.

Description

블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템Blockchain-based predictive information provision, evaluation and certification platform system
본 발명은 예측정보 제공 플랫폼 시스템에 관한 것으로, 특히 주식, 암호화폐 및 부동산 등 다양한 형태의 자산에 대한 예측정보를 블록체인 기술에 기반하여 관리 및 서비스하는 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템에 관한 것이다. The present invention relates to a prediction information providing platform system, in particular, a blockchain-based prediction information provision, evaluation and certification platform that manages and services prediction information for various types of assets such as stocks, cryptocurrency and real estate based on blockchain technology. It's about the system.
현재, 부동산, 주식 및 암호화폐 등, 다양한 자산의 급속한 가치 상승에 따라, 자산시장에 대하여 지식이 없는 일반인들도 자산시장에 관한 관심이 증가하고 있으며, 이러한 사회 분위기에 따라 일반인들을 대상으로 하는 투자를 위한 예측정보를 제공하는 업체 또한 증가하고 있다.Currently, with the rapid rise in the value of various assets such as real estate, stocks, and cryptocurrencies, interest in the asset market is increasing even among ordinary people who do not have knowledge about the asset market, and investment for the general public according to this social atmosphere The number of companies providing forecast information for
기존 예측정보를 제공하는 주체는 크게 제도권과 비제도권으로 나누어져 있다. 제도권에는 증권사, 투자자문사 등이 있고 비제도권에는 유사투자자문업자 등이 있다.Subjects that provide existing forecast information are largely divided into institutional and non-institutional. There are securities companies and investment advisory companies in the institutional sector, and quasi-investment advisory companies in the non-institutional sector.
이러한 예측정보 서비스에 대하여, 정보 주체가 누구인지, 어떤 예측정보가 가장 가치있는 정보인지, 혹은 어떤 정보제공자가 가장 적중률이 높은지 등을 객관적으로 평가하려는 시도가 있다.Regarding such predictive information service, there is an attempt to objectively evaluate who the information subject is, which predictive information is the most valuable information, or which information provider has the highest hit rate.
이는, 예측정보의 가치는 정보주체의 신분이나 자격에 있지 않고 정보의 적중여부에 있기 때문이라고 할 수 있다.This can be attributed to the fact that the value of predictive information lies not in the status or qualifications of the information subject, but in whether or not the information is accurate.
또한, 기존 예측정보 업체의 평가는 주로 '애널리스트' 혹은 '전문가'라고 불리우는 정보제공자를 평가하는 방법에 초점이 맞추어져 있다. 어떤 방법으로 평가를 할 것인가는 하나의 기준이 될 수는 있지만 평가의 공정성이나 투명성을 담보하지는 않는다.In addition, the evaluation of existing predictive information companies is mainly focused on how to evaluate information providers called 'analysts' or 'experts'. The method of evaluation can serve as a criterion, but it does not guarantee fairness or transparency of evaluation.
특히, 평가를 받는 애널리스트는 서비스를 제공하는 업체에 소속되어 있거나 계약관계로 묶여져 있는 경우가 많아 평가방법의 정확성이 비교적 높다고 하더라도 데이터의 위변조의 가능성을 무시할 수 없기 때문에 플랫폼 자체에 대한 신뢰도를 확인할 수 없다는 한계가 있다.In particular, since the analyst receiving the evaluation is often affiliated with a service provider or bound by a contractual relationship, even if the accuracy of the evaluation method is relatively high, the possibility of data forgery cannot be ignored, so the reliability of the platform itself can be confirmed. There is a limit to no
또한, 정보를 얻기 위한 비용이 정보주체마다 천차만별이며 비교적 높았기 때문에 투자관련 정보에 대한 접근성이 좋지 못하다고 할 수 있다.In addition, since the cost to obtain information varies widely and is relatively high for each information subject, it can be said that accessibility to investment-related information is not good.
[선행기술][Prior art]
(특허문헌 1) 등록특허공보 제10-1119346호(공고일자: 2012.03.06.)(Patent Document 1) Patent Registration No. 10-1119346 (Public date: 2012.03.06.)
(특허문헌 2) 등록특허공보 제10-2029455호(공고일자: 2019.11.08.)(Patent Document 2) Registered Patent Publication No. 10-2029455 (Public date: 2019.11.08.)
본 발명은 전술한 문제점을 해결하기 위해 안출된 것으로, 본 발명은 주식, 암호화폐 등의 투자 대상이 되는 자산에 대한 투자를 위한 예측정보를 애널리스트 등의 정보 제공자가 플랫폼에 게시하면 NFT를 발급하여 위변조를 방지하고 정보의 무결성을 보장함과 아울러, 개인 투자자가 웹 또는 모바일 단말을 통해 자유롭게 예측정보를 이용 및 평가할 수 있도록 하는 플랫폼을 제공하는 데 과제가 있다.The present invention has been made to solve the above-described problems, and the present invention issues NFTs when information providers such as analysts post prediction information for investment in assets such as stocks and cryptocurrencies to the platform. In addition to preventing forgery and falsification and ensuring the integrity of information, there is a task to provide a platform that allows individual investors to freely use and evaluate prediction information through a web or mobile terminal.
전술한 과제를 해결하기 위해, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템은, 하나 이상의 정보 제공자 단말로부터 특정자산에 속한 하나 이상의 종목에 대한 예측정보를 입력되면, 스마트 컨트랙트를 생성하여 예측정보를 웹 상에 게시하고, 상기 예측정보에 대한 NFT를 생성하여 블록체인 네트워크에 기록하는 체인 API, 하나 이상의 정보 이용자 단말의 시스템 이용 및 상기 예측정보의 검색과 관련된 서비스를 구현하는 API 서버, 상기 예측정보의 통계와 관련된 하나 이상의 기능을 처리하는 배치 서버 및, 시스템에서 발생한 하나 이상의 이벤트의 알림과 관련된 하나 이상의 기능을 제공하는 워커 서버를 포함할 수 있다.In order to solve the above problems, the blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention, when prediction information for one or more items belonging to a specific asset is input from one or more information provider terminals, A chain API that generates smart contracts to post prediction information on the web, creates NFTs for the prediction information and records them in a blockchain network, and provides services related to system use of one or more information user terminals and search for the prediction information. It may include an API server that implements, a batch server that processes one or more functions related to the statistics of the prediction information, and a worker server that provides one or more functions related to notification of one or more events occurring in the system.
상기 예측정보는, 예측고유번호를 포함하고, 어느 하나의 종목에 대하여, 예측일시, 거래소구분, 종목코드, 예측구분 - 상기 예측구분은 상승, 보합, 하락으로 정의됨 -, 평단가, 매수저가, 매수고가, 목표가, 손절가, 비중 및, 예측기간 중, 하나 이상을 포함할 수 있다.The prediction information includes a unique prediction number, and for any one item, forecast date, exchange classification, item code, prediction classification - the prediction classification is defined as rising, flat, falling -, average unit price, purchase price, It may include one or more of the bid price, target price, stop loss, proportion, and forecast period.
상기 체인 API는, 상기 스마트 컨트랙트의 실행에 따라, 상기 예측정보의 게시에 대한 보상 및 열람을 위한 비용으로 이용되는 토큰을 발행 및 지갑을 발급할 수 있다.The chain API, according to the execution of the smart contract, can issue tokens and wallets used as compensation for posting the prediction information and costs for viewing.
상기 API 서버는, 종목 마스터 정보, 증시일정, 종목조회 및, 상기 예측정보에 대한 댓글 기능을 제공하는 커먼 서비스, 상기 정보 제공자 및 정보 이용자의 회원 가입, 탈퇴, 로그인, 로그아웃, 본인인증, 사용자 정보조회, 변경 및, 팔로잉 또는 언팔로잉 기능을 제공하는 유저 서비스, 랭킹 이벤트 조회 및 사용자 랭킹 조회 기능을 제공하는 랭킹 서비스, 상품조회, 프로모션 조회, 결제요청, 결제취소, 결제내역조회 및 토큰내역 조회 기능을 제공하는 페이 서비스, 상기 예측정보의 등록 및 조회 기능을 제공하는 인사이트 서비스, 주식에 대한 실시간 시세정보 조회 및 차트정보 조회 기능을 제공하는 KOSCOM 서비스, 지갑생성, 토큰전송 및, 포인트와 토큰간 전환 기능을 제공하는 웰렛 서비스, 정보 이용자에 의한 투표 가능한 예측정보의 조회 및 예측정보에 대한 공감 투표 기능을 제공하는 보팅(Voting) 서비스 및, 토큰 예치, 취소 및, 토큰 예치에 대한 이자보상 수령 기능을 제공하는 스테이킹 서비스 중, 하나 이상을 제공할 수 있다.The API server is a common service that provides item master information, stock market schedule, item inquiry, and comment functions for the prediction information, membership registration, withdrawal, login, logout, identity authentication, and user authentication of the information provider and information user. User service that provides information search, change, and following or unfollowing functions, ranking service that provides ranking event search and user ranking search function, product search, promotion search, payment request, payment cancellation, payment history search, and tokens Pay service that provides a history inquiry function, insight service that provides registration and search function of the forecast information, KOSCOM service that provides real-time quote information search and chart information search function for stocks, wallet creation, token transfer, and points and A wallet service that provides a conversion function between tokens, a voting service that provides a function to view prediction information that can be voted on by information users and vote sympathy for prediction information, and token deposit, cancellation, and interest compensation for token deposit Among staking services that provide a receiving function, one or more may be provided.
상기 배치 서버는, 종목코드 및 종목이름을 포함하는 종목 마스터 데이터의 캐싱 배치 기능, 전종목 실시간 시세의 캐싱 배치 기능, 전종목 일중 시고저종 데이터의 캐싱 배치 기능, 예측정보에 대한 예측 적중률에 대한 통계 정보의 캐싱 배치 기능, 정보 제공자 및 정보 이용자의 접속 기록에 따라 휴면 상태로의 전환 예정에 대한 알림 및 휴면 처리 기능, 정보 제공자 및 정보 이용자가 보유한 포인트 중, 소멸 예정 포인트에 대한 알림 및 만료에 따른 소멸 처리 기능, 실시간 시세에 대한 스트림 전송 처리 기능 및, 실시간 예측정보에 대한 스트림 전송 처리 기능 중, 하나 이상을 제공할 수 있다.The batch server has a caching batch function of item master data including item code and item name, a caching batch function of real-time quotes of all items, a caching batch function of daily high and low data of all items, and statistical information on prediction hit rate for prediction information. Caching batch function, notification of scheduled transition to dormant status and dormant processing function according to access records of information providers and information users, notification of points to be expired among points held by information providers and information users, and processing of extinction according to expiration One or more of a function, a stream transmission processing function for real-time market prices, and a stream transmission processing function for real-time prediction information may be provided.
상기 워커 서버는, 정보 제공자 및 정보 이용자의 전자메일, 문자 및 푸시 알림을 수신하는 Notification 리스너, 결제 완료 및, 결제 취소에 대한 콜백을 수신하는 PayCallback 리스너, 전자결제 완료에 대한 콜백을 수신하는 EformCallback 리스너, 실시간 매수성공 이벤트의 완료에 대한 콜백을 수신하는 SignalCallback 리스너, 목표가 및 손절가 도달 이벤트의 완료에 대한 콜백을 수신하는 BlashCallback 리스너 및, 예측정보의 예측 성공에 대한 보상 여부를 수신하는 Reward 리스너 중, 하나 이상을 제공할 수 있다.The worker server includes a notification listener for receiving e-mail, text messages and push notifications from information providers and information users, a PayCallback listener for receiving callbacks for payment completion and payment cancellation, and an EformCallback listener for receiving callbacks for electronic payment completion , a SignalCallback listener that receives a callback for the completion of the real-time purchase success event, a BlashCallback listener that receives a callback for the completion of the target price and stop-loss event, and a Reward listener that receives compensation for successful prediction information. can provide more.
정보 제공자 및 정보 이용자에 대한 사용자 정보, 사용자 현황 정보 - 상기 사용자 현황 정보는 정보 제공자 및 정보 이용자의 활동현황, 평점 및 적중률을 포함함 -, 종목 마스터 정보, 예측 정보, 정보 제공자에 대한 랭킹 정보, 정보 이용자의 구독 정보 및 결제 내역 중, 하나 이상을 저장하는 데이터 베이스 서버를 포함할 수 있다.User information about information providers and information users, user status information - The user status information includes activity status, ratings and hit rates of information providers and information users -, event master information, prediction information, ranking information about information providers, It may include a database server that stores one or more of information user's subscription information and payment history.
본 발명의 실시예에 따르면, 예측 정보를 제공하는 주체의 예측 적중률을 검증하고 과거 데이터를 모두 공개함으로써, 투자자는 정보 제공자의 통계정보를 확인하여 적중 기댓값을 인지하고 정보를 열람할 수 있는 효과가 있다.According to an embodiment of the present invention, by verifying the predictive hit rate of the subject providing predictive information and disclosing all past data, the investor can check the statistical information of the information provider to recognize the expected hit value and view the information. there is.
또한, 본 발명의 실시예에 따르면, 블록체인을 이용하여 예측정보를 저장함에 따라, 위변조가 불가능하여 플랫폼의 신뢰도를 극대화하는 효과가 있다.In addition, according to an embodiment of the present invention, there is an effect of maximizing the reliability of the platform because it is impossible to forge and alter as prediction information is stored using a block chain.
또한, 본 발명의 실시예에 따르면, 정보 제공자의 권한을 자격이나 경력으로 구분하지 않고 예측 정보의 결과에 대한 적중률로만 구분되도록 함으로써 정보의 정확성이 곧 정보 주체의 신뢰도가 되며, 예측정보에 대한 접근성을 낮추고 대중화하여 불법적인 경로로 고가에 유통되는 투자정보의 대안을 제시할 수 있는 효과가 있다.In addition, according to an embodiment of the present invention, the information provider's authority is not divided into qualifications or careers, but only the hit rate for the result of the prediction information, so that the accuracy of the information becomes the reliability of the information subject, and the accessibility to the prediction information It has the effect of providing an alternative to investment information that is circulated at high prices through illegal channels by lowering and popularizing it.
또한, 본 발명의 실시예에 따르면, 예측글과 적중률 통계를 NFT를 이용하여 발행할 수 있어 공인된 평가방법이 존재하지 않는 투자자문, 주가예측 시장에서 대중화된 투자 예측 실력 검증, 인증의 수단을 제시할 수 있는 효과가 있다.In addition, according to an embodiment of the present invention, prediction texts and hit rate statistics can be issued using NFT, which is a means of investment advice, verification of investment prediction skills popularized in the stock price prediction market, and authentication where there is no certified evaluation method. There is an effect that can be presented.
도 1은 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 주요 기능에 따른 구성을 개략적으로 나타낸 도면이다.1 is a diagram schematically showing the configuration according to the main functions of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
도 2는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 구조를 구체적으로 나타낸 도면이다.2 is a diagram specifically showing the structure of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 3은 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 성공 및 실패 평가 방법을 설명하기 위한 그래프를 예시한 도면이다.3 is a diagram illustrating a graph for explaining a method for evaluating success and failure of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 4는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보 등록 절차를 나타낸 도면이다.4 is a diagram showing a prediction information registration procedure of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
도 5는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보에 대한 적중률의 통계 산출 절차를 나타낸 도면이다.5 is a diagram showing a statistical calculation procedure of a hit rate for predictive information of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 6a 및 도6b은 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템에 의한 이벤트 처리 루틴을 나타낸 도면이다.6A and 6B are diagrams illustrating an event processing routine by a blockchain-based prediction information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 7a 내지 7c는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 이벤트 처리 절차를 나타낸 도면이다.7a to 7c are diagrams illustrating event processing procedures of a blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention.
설명에 앞서, 명세서 전체에서 어떤 부분이 어떤 구성요소를 "구비" 또는 "포함" 한다고 할 때, 이는 특별히 반대되는 기재가 없는 한, 다른 구성요소를 제외하는 것이 아니라 다른 구성요소를 더 포함할 수 있는 것을 의미한다. 또한, 명세서에 기재된 "...부(Unit)", "...서버(Server)", "...시스템(System)" 등의 용어는 적어도 하나의 기능이나 동작을 처리하는 단위를 의미하며, 이는 하드웨어, 소프트웨어 또는, 하드웨어 및 소프트웨어의 결합으로 구현될 수 있다.Prior to the description, when a part in the entire specification "comprises" or "includes" a certain component, this may further include other components, not excluding other components, unless otherwise stated. means there is In addition, terms such as "...unit", "...server", and "...system" described in the specification mean a unit that processes at least one function or operation. and may be implemented in hardware, software, or a combination of hardware and software.
또한, 본 명세서에서 "실시예"라는 용어는 예시, 사례 또는 도해의 역할을 하는 것을 의미하나, 발명의 대상은 그러한 예에 의해 제한되지 않는다. 또한, "포함하는", "구비하는", "갖는" 및 다른 유사한 용어가 사용되고 있으나, 청구범위에서 사용되는 경우 임의의 추가적인 또는 다른 구성요소를 배제하지 않는 개방적인 전환어(Transition word)로서 "포함하는(Comprising)"이라는 용어와 유사한 방식으로 포괄적으로 사용된다.In addition, the term "embodiment" in this specification means to serve as an illustration, example, or illustration, but the subject matter of the invention is not limited by such an example. Also, while "comprising", "comprising", "having" and other similar terms are used, when used in the claims as an open transition word that does not exclude any additional or different elements, " Used generically in a similar way to the term "comprising".
본 명세서에 설명된 다양한 기법은 하드웨어 또는 소프트웨어와 함께 구현될 수 있거나, 적합한 경우에 이들 모두의 조합과 함께 구현될 수 있다. 본 명세서에 사용된 바와 같은 "...부(Unit)", "...서버(Server)", "...시스템(System)" 등의 용어는 마찬가지로 컴퓨터 관련 엔티티(Entity), 즉 하드웨어, 하드웨어 및 소프트웨어의 조합, 소프트웨어 또는 실행 시의 소프트웨어와 등가로 취급할 수 있다. 또한, 본 발명의 시스템에서 구현하는 각 기능은 모듈단위의 프로그램으로 구성될 수 있고, 하나의 물리적 메모리에 기록되거나, 둘 이상의 메모리 및 기록매체 사이에 분산되어 기록될 수 있다.The various techniques described herein may be implemented with hardware or software, or a combination of both, where appropriate. As used herein, the terms "...Unit", "...Server", "...System", etc. are similarly referred to as computer-related entities, that is, hardware , a combination of hardware and software, software, or software in execution. In addition, each function implemented in the system of the present invention may be composed of a module unit program, and may be recorded in one physical memory or distributed between two or more memories and recording media.
이하의 설명에서, 본 발명의 "블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템"을 가리키는 용어는 설명의 편의상 "예측정보 제공, 평가 및 인증 플랫폼 시스템" 또는 "시스템"으로 약식 표기될 수 있다.In the following description, the term referring to the "blockchain-based prediction information provision, evaluation and certification platform system" of the present invention may be abbreviated as "prediction information provision, evaluation and certification platform system" or "system" for convenience of description. .
또한, 이하의 설명에서 "SUM()"은 가로 안의 모든 요소의 합을 가리킨다.Also, in the following description, "SUM()" indicates the sum of all elements in a row.
이하, 도면을 참조하여 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템을 설명한다.Hereinafter, a blockchain-based prediction information providing, evaluation, and authentication platform system according to an embodiment of the present invention will be described with reference to the drawings.
도 1은 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 주요 기능에 따른 구성을 개략적으로 나타낸 도면이다.1 is a diagram schematically showing the configuration according to the main functions of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
도 1을 참조하면, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템(100)은 주식 및 암호화폐를 아우르는 인터넷 기반 투자 예측정보 제공 서비스를 제공하는 것으로, 정보통신망을 통해 하나 이상의 정보 제공자 단말(10) 및 정보 이용자 단말(20)과 연결되어 웹(Web) 또는 어플리케이션 기반 자산 관련 예측정보의 등록, 제공, 평가 및 분석 서비스를 제공할 수 있다.Referring to FIG. 1, a blockchain-based prediction information provision, evaluation and certification platform system 100 according to an embodiment of the present invention provides an Internet-based investment prediction information provision service covering stocks and cryptocurrencies, It is connected to one or more information provider terminals 10 and information user terminals 20 through the web (Web) or application-based asset-related prediction information registration, provision, evaluation and analysis services can be provided.
특히, 본 발명의 시스템(100)은 다수의 정보 제공자가 자발적으로 작성하여 업로드하는 투자를 위한 예측정보를 회원 가입된 다수의 정보 이용자에게 공개함으로써 정보에 대한 부가가치를 부여하는 플랫폼 서비스 시스템으로서, 하나 이상의 정보 제공자가 자신의 정보 제공자 단말(10)을 통해 시스템(100)에 접속하고, 작성한 주가, 가상화폐 및 기타 자신에 대한 가격변동을 예상한 예측정보를 전송 받아 온라인 상에 게시할 수 있으며, 하나 이상의 정보 이용자가 자신의 정보 이용자 단말(20)에서 웹 또는 어플리케이션을 통해 시스템(100)에 접속하여 게시된 예측정보를 이용할 수 있는 환경을 제공할 수 있다.In particular, the system 100 of the present invention is a platform service system that gives added value to information by disclosing prediction information for investment, which is voluntarily prepared and uploaded by a plurality of information providers, to a plurality of information users who have registered as members. The above information providers can access the system 100 through their information provider terminal 10, receive stock prices, virtual currencies, and other prediction information that anticipates price fluctuations for themselves and post them online, It is possible to provide an environment in which one or more information users access the system 100 from their information user terminal 20 through a web or application and use the posted prediction information.
이를 위해, 본 발명의 실시예에 따른 시스템(100)은 정보 제공자 단말(10)로부터 업로드 되는 예측정보를 온라인 상에 게시하는 예측정보 스토어(101)를 운영할 수 있고, 정보 이용자는 정보 이용자 단말(20)을 통해 이러한 예측정보 스토어(101)에 게시된 예측정보들을 통해 원하는 투자정보를 얻을 수 있다.To this end, the system 100 according to an embodiment of the present invention can operate the prediction information store 101 that posts prediction information uploaded from the information provider terminal 10 online, and the information user can operate the information user terminal Through (20), desired investment information can be obtained through the prediction information posted in the prediction information store 101.
여기서, 일반적으로 정보 제공자는 애널리스트 일 수 있고, 이러한 정보 제공자는 예측정보로서, 주식 또는 암호화폐에 대한 목표가/손절가, 매수/매도/중립 의견, 기간 및 근거자료 등을 작성하여 업로드 할 수 있다. 그리고 시스템(100)은 이러한 예측정보 제공에 대한 보상을 제공할 수 있다.Here, in general, the information provider may be an analyst, and such information provider may create and upload target price/stop loss, buy/sell/neutral opinion, period, and evidence for stocks or cryptocurrencies as forecast information. In addition, the system 100 may provide compensation for providing such prediction information.
또한, 시스템(100)은 검색엔진을 탑재하고 이를 통한 정보 제공자 검색 기능(103)을 제공함으로써, 정보 이용자는 시스템(100)에 등록된 다수의 정보 제공자를 검색하거나 추천 받을 수 있고, 그들이 업로드한 예측정보를 확인할 수 있다.In addition, the system 100 is equipped with a search engine and provides an information provider search function 103 through the search engine, so that information users can search for or receive recommendations from a number of information providers registered in the system 100, and they upload Forecast information can be checked.
정보 이용자는 자신의 스마트폰, 태블릿 PC 등의 정보 이용자 단말(20)을 이용하여 시스템(100)의 예측정보 스토어(101)에 접속하여 게시된 예측정보를 확인할 수 있고, 예측정보에 대한 공감 투표를 수행하여 의견을 제시할 수 있으며, 각 정보 제공자들을 비교하거나, 특정 정보 제공자에 대한 구독 설정 및 평가를 입력할 수 있다. 또한, 시스템(100)은 이러한 행위에 따른 플랫폼 생태계 기여에 대한 보상을 정보 이용자에게 제공할 수 있다.The information user can connect to the prediction information store 101 of the system 100 using the information user terminal 20 such as a smartphone or tablet PC, check the posted prediction information, and vote sympathy for the prediction information. You can present your opinion by performing, you can compare each information provider, or you can enter subscription settings and evaluation for a specific information provider. In addition, the system 100 may provide information users with compensation for contributing to the platform ecosystem according to these actions.
또한, 시스템(100)은 등록된 다수의 예측정보에 대한 예측 평가기능(105)을 제공할 수 있고, 시스템(100)은 등록된 복수의 예측정보에 대하여, 점수화(scoring) 및 등급화(leveling)를 통해 예측 적중률에 대한 분석을 수행하는 예측 적중률 분석 기능(107)을 제공할 수 있다.In addition, the system 100 may provide a prediction evaluation function 105 for a plurality of registered prediction information, and the system 100 performs scoring and leveling on the registered plurality of prediction information. ), it is possible to provide a predictive hit rate analysis function 107 that analyzes the predicted hit rate.
본 발명의 일 실시예에 따르면, 시스템(100)이 제공하는 예측정보는 두 가지 유형으로 구분될 수 있다.According to an embodiment of the present invention, prediction information provided by the system 100 may be classified into two types.
먼저, 인사이트(Insight) 유형으로서, 특정 주식종목 혹은 암호화폐의 시세를 단기, 중기, 장기의 3가지 기간으로 구분하고 상승, 보합, 하락 3가지 유형으로 예측하여 실제 성공 여부를 평가하는 유형이다.First, as an Insight type, it divides the market price of a specific stock or cryptocurrency into three periods: short, medium, and long, and predicts three types of rise, plateau, and decline to evaluate actual success.
그리고, 'BLASH' 유형으로서, 정보 제공자는 상승이 예상되는 주식 종목 혹은 암호화폐의 목표가를 제시하게 되며, 이에 대한 실제 수익률을 평가받고 매수범위, 손절가, 투자 비중 등을 제시하게 된다. 이러한 'BLASH'는 다시 유료BLASH와 무료BLASH로 구분될 수 있고, 정보 제공자는 무료BLASH를 작성하여 수익률이 기준을 통과해야 유료BLASH를 작성할 수 있다.And, as a 'BLASH' type, the information provider presents the target price of a stock item or cryptocurrency that is expected to rise, evaluates the actual rate of return, and presents the purchase range, stop loss, and investment ratio. Such 'BLASH' can be further divided into paid BLASH and free BLASH, and information providers can create paid BLASH only when the rate of return passes the standard by writing free BLASH.
시스템(100)은 예측정보의 적중여부를 실시간으로 평가할 수 있다.The system 100 may evaluate whether the prediction information is correct in real time.
특히, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공 플랫폼 시스템(100)은 전술한 서비스를 제공함에 있어서, 주식 및 암호화폐의 미래 가치를 예측하는 글을 블록체인을 이용한 스마트 컨트랙트를 통해 저장하여 정보의 위변조가 불가능에 가깝도록 하고, 예측에 대한 결과를 NFT로 발급함과 아울러, 각각의 평가자 별로 적중률을 원하는 시점에 NFT로 발급함으로써 평가에 대한 인증을 수행할 수 있는 특징이 있다.In particular, the blockchain-based prediction information providing platform system 100 according to an embodiment of the present invention provides the above-mentioned services, and stores articles predicting the future value of stocks and cryptocurrencies through smart contracts using blockchains. This makes forgery and falsification of information nearly impossible, and the result of the prediction is issued as NFT, and the hit rate for each evaluator is issued as NFT at the desired time, so that evaluation can be authenticated.
이에 따라, 작성된 예측글이 모두 공개되고 스마트 컨트랙트로 저장된다는 점에서 기존의 유사 서비스와는 다르게 플랫폼 자체의 높은 신뢰도를 보장할 수 있다.Accordingly, unlike existing similar services, high reliability of the platform itself can be guaranteed in that all of the written predictions are disclosed and stored as smart contracts.
또한, 본 발명의 실시예에 따르면, 시스템(100)은 투자 예측정보를 작성할 수 있는 권한을 특정인에게 제한적으로 부여하는 것이 아닌, 서비스에 가입한 개인이라면 누구나 등록할 수 있도록 한다.In addition, according to an embodiment of the present invention, the system 100 allows anyone who has subscribed to the service to register without restrictively granting the right to create investment prediction information to a specific person.
즉, 본인 인증을 하고 서비스 회원 가입한 회원은 누구나 예측정보를 등록하고 평가를 받을 수 있다. 단, 평가 결과로 누적된 통계수치에 따라 일반, 프리미엄 등의 권한을 구분하고 정보이용에 대한 보상 정도는 서로 다르게 설정될 수 있다.That is, anyone who has authenticated himself and signed up as a service member can register prediction information and receive evaluation. However, depending on the statistics accumulated as a result of the evaluation, privileges such as general and premium may be classified, and the degree of compensation for information use may be set differently.
전술한 바와 같이, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템은, 다수의 정보 제공자 및 정보 이용자가 시스템을 통해 정보를 공유하는 플랫폼으로서, 정보 제공자는 자유롭게 자신이 생각하는 투자 의견을 업로드하여 온라인 상에 게시하고, 정보 이용자는 업로드 된 의견을 확인 및 그에 대한 평가를 수행하고, 이러한 참여자들은 그 행위에 대한 보상을 받을 수 있다.As described above, the blockchain-based predictive information provision, evaluation, and authentication platform system according to an embodiment of the present invention is a platform in which a plurality of information providers and information users share information through the system, and information providers are free to Upload investment opinions you think and post them online, information users check and evaluate the uploaded opinions, and these participants can receive compensation for their actions.
이하, 도면을 참조하여 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템을 이루는 각 구성부에 대하여 상세히 설명한다.Hereinafter, each component constituting the blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention will be described in detail with reference to the drawings.
도 2는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 구조를 구체적으로 나타낸 도면이다.2 is a diagram specifically showing the structure of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 2를 참조하면, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템(100)은, 하나 이상의 정보 제공자 단말로부터 특정자산에 속한 하나 이상의 종목에 대한 예측정보를 입력되면, 스마트 컨트랙트를 생성하여 예측정보를 웹 상에 게시하고, 상기 예측정보에 대한 NFT를 생성하여 블록체인 네트워크(115)에 기록하는 체인 API(110), 하나 이상의 정보 이용자 단말(20)의 시스템 이용 및 예측정보의 검색과 관련된 서비스를 구현하는 API 서버(120), 예측정보의 통계와 관련된 하나 이상의 기능을 처리하는 배치 서버(Batch Server; 130) 및, 시스템에서 발생한 하나 이상의 이벤트의 알림과 관련된 하나 이상의 기능을 제공하는 워커 서버(Worker Server; 140), 예측정보를 비롯하여 각종 데이터를 저장하는 데이터 베이스(150), 서비스 제공시 실시간으로 발생하는 이벤트를 처리하기 위한 실시간 이벤트 핸들러(170) 및 외부 시스템의 API를 이용하기 위한 확장 인터페이스 API(180)를 포함할 수 있다.Referring to FIG. 2, in the blockchain-based prediction information provision, evaluation, and authentication platform system 100 according to an embodiment of the present invention, when prediction information for one or more items belonging to a specific asset is input from one or more information provider terminals , Chain API 110 that generates smart contracts to post prediction information on the web, creates NFTs for the prediction information and records them in the blockchain network 115, and uses the system of one or more information user terminals 20 And an API server 120 implementing a service related to searching for prediction information, a batch server 130 processing one or more functions related to statistics of prediction information, and one related to notification of one or more events occurring in the system. A worker server (140) providing the above functions, a database (150) for storing various data including prediction information, a real-time event handler (170) for processing events occurring in real time when providing services, and an external system It may include an extension interface API 180 for using the API of.
체인 API(110)는 본 발명의 시스템(100)이 블록체인 기술에 기반하여 구현됨에 따라, 블록체인 관련 API를 통해 지갑 생성, 토큰 발급, 토큰 전송, 스마트 컨트랙트 생성/실행/호출 및, NFT 생성을 수행할 수 있다. 또한, 블록체인 플랫폼으로서 "클레이튼"을 이용할 수 있다. Chain API 110, as the system 100 of the present invention is implemented based on blockchain technology, wallet creation, token issuance, token transfer, smart contract creation/execution/call, and NFT creation through blockchain-related APIs can be performed. Also, "Klaytn" can be used as a blockchain platform.
그리고, 체인 API(110)는 전술한 기능을 기반으로 하여 지갑 생성, 토큰 발급, 토큰 전송, NFT 생성 및 스마트 컨트랙트 생성을 수행할 수 있다. In addition, the chain API 110 may perform wallet creation, token issuance, token transfer, NFT creation, and smart contract creation based on the aforementioned functions.
여기서, NFT(Non-Fungible Token; D1)는 희소성을 갖는 디지털 자산을 대표하는 토큰을 가리키는 것으로, 블록체인 기술을 활용하지만 기존의 가상자산과 달리 디지털 자산에 별도의 고유한 인식 값을 부여하고 있어 상호교환이 불가능하다는 특징이 있다.Here, NFT (Non-Fungible Token; D1) refers to a token representing a digital asset with scarcity. It utilizes blockchain technology, but unlike existing virtual assets, it gives a separate unique recognition value to digital assets. It is characterized by non-interchangeability.
본 발명의 실시예에 따른 NFT(D1)는 단건 예측결과와 최근 6개월 예측 적중률의 2가지 유형으로 발행될 수 있고, 본 발명에서 모든 예측글의 단건 예측결과는 자동으로 리포트가 PDF파일로 만들어져 NFT로 발행될 수 있다. 적중률, 수익률 등 BLASH의 구성요소를 기준으로 리포트가 만들어지며 인사이트는 같은 구성요소에서 비해당 영역을 공란으로 처리할 수 있다.NFT (D1) according to an embodiment of the present invention can be issued in two types: a single prediction result and a predicted hit rate for the last 6 months, and in the present invention, a report is automatically created as a PDF file for the single prediction result of all prediction articles. It can be issued as an NFT. Reports are created based on the components of BLASH, such as hit rate and return rate, and Insight can process non-applicable areas as blanks in the same component.
또한, 예측정보의 작성자인 정보 제공자는 최근 6개월 동안의 예측 적중률 리포트를 원하는 시점에 NFT(D1)로 발행할 수 있다. 이는 요청한 시점을 기준으로 발행되며 리포트 형태의 PDF파일로 만들어질 수 있다. 이러한 NFT(D1)에는 게시글 등록 일지와 적중률 등의 각종 통계가 포함될 수 있다.In addition, the information provider, who is a producer of prediction information, can issue a prediction hit rate report for the last 6 months as NFT (D1) at a desired time. It is issued based on the time of request and can be made as a PDF file in the form of a report. Such NFT (D1) may include various statistics such as post registration log and hit rate.
또한, 스마트 컨트랙트(Smart Contract; D2)는 정보 제공자가 입력하는 예측정보를 블록체인에 기록하고, 토큰 및 NFT를 발급하는 등의 역할을 하는 것으로, 스마트 컨트랙트(D2)를 통해 예측정보를 블록체인 네트워크(115)에 기록할 수 있다. In addition, Smart Contract (D2) plays a role such as recording the prediction information input by the information provider in the blockchain and issuing tokens and NFTs. network 115.
이러한 예측정보는 고유번호, 예측일시, 거래소구분(KRX), 종목코드, 예측구분(상승/보합/하락), 평단, 매수저가, 매수고가, 목표가, 손절가, 비중 및 예측기간 등을 포함할 수 있다.Such prediction information may include a unique number, forecast date and time, exchange classification (KRX), item code, prediction classification (rising/stabilizing/declining), rating, purchase low, purchase high, target price, stop loss, proportion and forecast period. there is.
API 서버(120)는 시스템(100)이 제공하는 각종 서비스를 구현할 수 있으며, 종래의 웹 서비스와 유사한 다양한 서비스를 구현할 수 있다.The API server 120 can implement various services provided by the system 100, and can implement various services similar to conventional web services.
본 발명의 일 실시예에 따르면, API 서버(120)가 제공하는 서비스로는, 종목마스터 정보, 증시일정, 종목조회, 좋아요 및 신고하기 등의 기능을 제공하는 커먼 서비스(CommonService)와, 사용자가입, 탈퇴, 로그인, 로그아웃, 본인인증, 사용자정보조회, 사용자정보변경, 팔로잉 및 언팔로잉 등의 사용자와 관련된 유저 서비스(UserService)와, 랭킹이벤트조회 및 사용자랭킹조회 등의 정보 제공자의 평가와 관련된 랭킹 서비스(RankingService)와, 상품조회, 프로모션조회, 결제, 결제취소, 결제내역조회 및 코인내역조회 등의 비용과 관련된 페이 서비스(PayService)와, 예측정보 등록 및 조회 등의 예측정보와 관련된 인사이트 서비스(InsightService)와, 실시간시세정보 조회, 차트정보 조회 등, 증권관련 정보를 제공하기 위한 KOSCOM 서비스(KOSCOMService)와, 지갑생성, 코인전송, 포인트, 코인 전환 등, 지불수단으로서 암호화폐와 관련된 월렛 서비스(WalletService)와, 투표가능 예측정보 조회 및 예측정보 공감 투표 등의 예측정보에 대한 정보 이용자의 평가와 관련된 보팅 서비스(VotingService)와, 코인예치, 취소 및 이자보상수령 등의 암호화폐 스테이킹과 관련된 스테이킹서비스(StakingService)가 있다.According to one embodiment of the present invention, the services provided by the API server 120 include a common service that provides functions such as item master information, stock market schedule, item inquiry, like and report, and user subscription. Evaluation of user services (UserService) related to users such as withdrawal, login, logout, identity verification, user information inquiry, user information change, following and unfollowing, and information providers such as ranking event inquiry and user ranking inquiry Ranking service related to (RankingService), pay service related to costs such as product inquiry, promotion inquiry, payment, payment cancellation, payment history inquiry and coin history inquiry, and prediction information related to prediction information such as registration and inquiry of prediction information Insight Service (InsightService), KOSCOM Service (KOSCOMService) for providing securities-related information, such as real-time quote information inquiry and chart information inquiry, and cryptocurrency-related payment methods, such as wallet creation, coin transfer, point, coin conversion, etc. Wallet service (WalletService), information on prediction information such as voting prediction information inquiry and prediction information sympathy voting, Voting service related to user evaluation, and cryptocurrency staking, such as coin deposit, cancellation, and interest compensation receipt There is a related staking service (StakingService).
배치 서버(130)는 데이터의 검색, 추출, 전송시 신속한 처리를 위한 배치(Batch)를 위한 서버로서, 종목코드 및 종목이름을 포함하는 종목 마스터 데이터의 캐싱 배치 기능과, 전종목 실시간 시세의 캐싱 배치 기능과, 전종목 일중 시고저종 데이터의 캐싱 배치 기능과, 예측정보에 대한 예측 적중률에 대한 통계 정보의 캐싱 배치 기능과, 정보 제공자 및 정보 이용자의 접속 기록에 따라 휴면 상태로의 전환 예정에 대한 알림 및 휴면 처리 기능과, 정보 제공자 및 정보 이용자가 보유한 포인트 중, 소멸 예정 포인트에 대한 알림 및 만료에 따른 소멸 처리 기능과, 실시간 시세에 대한 스트림 전송 처리 기능과, 실시간 예측정보에 대한 스트림 전송 처리 기능 중, 하나 이상을 제공할 수 있다.The batch server 130 is a server for batch processing for rapid processing when searching, extracting, and transmitting data, and has a caching batch function of item master data including item codes and item names, and a caching batch of real-time quotes for all items. function, caching arrangement function of all daily high and low data, caching arrangement function of statistical information on prediction hit rate for prediction information, notification of scheduled transition to dormant state according to access records of information providers and information users, and Of the dormant processing function, notification of points to be expired among points held by information providers and information users, processing function of extinction according to expiration, function of stream transmission processing for real-time market prices, and processing function of stream transmission of real-time prediction information , can provide more than one.
특히, 전술한 기능 중, 예측 적중률 통계 배치 기능은, 구체적으로 예측 성공 여부 및 종료 여부, 적중률, 수익률 통계, 사용자 등급 및 사용자 랭킹과 관련된 요청을 처리할 수 있다.In particular, among the above-described functions, the predictive hit rate statistics arrangement function may specifically process requests related to prediction success and completion, hit rates, profit rate statistics, user ratings, and user rankings.
그리고, 전술한 API 서버(120) 및 배치 서버(130)간 전송되는 데이터 중, 종목 마스터 및 실시간 시세는 캐시 서버(Cache server; 135)를 통해 신속하게 전달될 수 있다.In addition, among the data transmitted between the API server 120 and the batch server 130 described above, item masters and real-time quotes can be quickly transferred through a cache server 135.
워커 서버(140)는 서브젝트의 현재 상태 변화 또는 이벤트 발생시 이를 시스템에 통지하는 역할을 하는 것으로, 정보 제공자 및 정보 이용자의 전자메일, 문자 및 푸시 알림을 수신하는 Notification 리스너(Listener)와, 결제 완료 및, 결제 취소에 대한 콜백을 수신하는 PayCallback 리스너와, 전자결제 완료에 대한 콜백을 수신하는 EformCallback 리스너와, 실시간 매수성공 이벤트의 완료에 대한 콜백을 수신하는 SignalCallback 리스너와, 목표가 및 손절가 도달 이벤트의 완료에 대한 콜백을 수신하는 BlashCallback 리스너와, 예측정보의 예측 성공에 대한 보상 여부를 수신하는 Reward 리스너 중, 하나 이상을 제공할 수 있다.The worker server 140 plays a role of notifying the system when the current status of a subject changes or an event occurs, and notification listeners that receive e-mails, text messages, and push notifications from information providers and information users, payment completion and , PayCallback listener for receiving callback for payment cancellation, EformCallback listener for receiving callback for electronic payment completion, SignalCallback listener for receiving callback for completion of real-time purchase success event, and completion of target price and stop loss reaching event One or more of a BlashCallback listener receiving a callback for prediction information and a Reward listener receiving compensation for successful prediction information can be provided.
데이터 베이스(150)는 시스템을 운영함에 있어서 요구되는 각종 정보 및 설정값 등을 저장할 수 있다. 일례로서, 정보 제공자 및 정보 이용자의 계정, 패스워드 및 회원관리를 위한 사용자정보, 회원들의 활동현황, 평점 및 적중률 등의 사용자현황정보, 종목마스터 정보, 예측정보, 랭킹정보, 구독내역 및 결제내역 등을 저장할 수 있다.The database 150 may store various information and setting values required for operating the system. As an example, user information for information provider and information user account, password and member management, user status information such as member activity status, rating and hit rate, event master information, prediction information, ranking information, subscription history and payment history, etc. can be saved.
실시간 이벤트 핸들러(170)는 이벤트 발생시 시스템(100)의 응답을 처리하는 하는 것으로, 일례로서 매수성공 실시간 이벤트가 발생하거나 목표가/손절가 도달 이벤트 발생시 이를 처리할 수 있다.The real-time event handler 170 processes the response of the system 100 when an event occurs. As an example, when a real-time purchase success event occurs or a target price/stop loss reached event occurs, it can be processed.
API 서버(120)에서 사용자의 액션이 발생하거나, 설정된 상황, 일례로서, 주가가 일정수준 이상 오르거나 내리는 경우, 이벤트 발생으로 인식하고, 이에 대한 응답을 생성하여 관련 프로세스에 전달할 수 있다. When a user's action occurs in the API server 120 or a set situation, for example, when a stock price rises or falls above a certain level, it may be recognized as an event occurrence, and a response may be generated and transmitted to a related process.
그리고, 각 서버간의 발행/구독(pub/sub) 메시지는 큐(175)에 저장되어 전달될 수 있다. 이러한 메시지 큐(175)는 대용량 데이터를 처리하기 위한 배치 작업이나, 비동기 데이터를 처리할 수 있고, 작업을 보증할 수 있다, 이러한 기능에는 확장성이 고려된다.In addition, pub/sub messages between servers may be stored in the queue 175 and transmitted. This message queue 175 can process batch work for processing large amounts of data or asynchronous data, and can guarantee work. Scalability is considered in this function.
확장 인터페이스 API(180)는 외부 시스템에서 제공하는 다양한 API를 지원할 수 있다. The extension interface API 180 may support various APIs provided by external systems.
이러한 확장 인터페이스 API(180)로는, 정보 이용자 단말(20)의 화면상에 토스트 알림 메시지의 출력기능을 구현하기 위한 Toast Notification API와, 결제처리를 위한 Iamport Pay API와, 사용자들의 간편본인인증 기능을 제공하기 위한 PASS 사용자 인증 API와, 전자계약을 위한 eForm 전자계약 API와, KOSCOM에서 제공하는 Open API 등이 있다.As such an extended interface API 180, Toast Notification API for implementing a function of outputting a toast notification message on the screen of the information user terminal 20, Iamport Pay API for payment processing, and a simple authentication function for users are provided. There are PASS user authentication API to provide, eForm electronic contract API for electronic contract, and Open API provided by KOSCOM.
전술한 구조에 따라, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공 플랫폼 시스템은 블록체인 기술 기반의 예측정보 공유 서비스를 제공할 수 있다.According to the above structure, the blockchain-based prediction information providing platform system according to an embodiment of the present invention can provide a prediction information sharing service based on blockchain technology.
이하, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템에 적용된 서비스 정책을 설명한다.Hereinafter, a service policy applied to a blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention will be described.
전술한 바와 같이, 본 발명의 실시예에 따른 시스템에서는 본인 인증을 하고 서비스 회원 가입한 누구나 예측을 하고 평가를 받을 수 있고, 이후 평가 결과로 누적된 통계수치에 따라 사용자별 정보 등록과 관련된 권한을 구분하여 부여 받을 수 있다.As described above, in the system according to an embodiment of the present invention, anyone who has authenticated himself and signed up as a service member can make a prediction and receive an evaluation, and then, according to the accumulated statistics as a result of the evaluation, the authority related to information registration for each user is granted. It can be given separately.
전술한 권한은, 시스템에서 등급을 부여하는 기준이 되는 것으로, 등급 또한 정보와 함께 공개됨에 따라, 정보 이용자는 정보 제공자의 등급만 확인하면 예측글의 성공 기댓값을 추측할 수 있게 된다.The aforementioned authority is a criterion for assigning ratings in the system, and as the ratings are also disclosed together with information, information users can guess the expected success of prediction texts by checking only the ratings of information providers.
또한, 정보 이용자는 열람한 예측정보를 활용할 수 있고, 공감하는 예측정보에 투표하여 정보에 가치를 부가할 수 있으며, 플랫폼에 토큰 이코노미가 도입됨에 따라 정보의 가치와 참여자의 기여도에 따라 보상을 받을 수 있다.In addition, information users can utilize the predicted information they have viewed, add value to the information by voting for the predicted information they sympathize with, and receive rewards according to the value of the information and the contribution of the participants as the token economy is introduced to the platform. can
이때, 정보의 적중여부와 목표로 한 수익의 범위에 따라 차등의 보상을 지급함에 따라 정보의 가치에 대한 보상 또한 합리적이라고 할 수 있다.At this time, compensation for the value of information can also be said to be reasonable as differential compensation is paid according to whether the information is accurate and the range of target profit.
또한, 시스템에서 토큰은 서비스의 보상으로 획득하고 열람 시 소비할 수 있는 수단으로서, 설계된 토큰 이코노미에 따라 서비스의 생태계를 유지, 발전시킬 수 있다. 토큰 이코노미의 도입은 투자 정보의 접근성을 높이는 효과가 있다.In addition, tokens in the system are a means that can be acquired as a reward for services and consumed when viewing, and can maintain and develop the ecosystem of services according to the designed token economy. The introduction of token economy has the effect of increasing the accessibility of investment information.
한편, 본 발명의 일 실시예에 따르면, 예측정보의 평가시 기준이 되는 목표가가 설정될 수 있다.Meanwhile, according to an embodiment of the present invention, a target price serving as a standard when evaluating prediction information may be set.
이러한 인사이트 목표가는 기본 목표와 지정 목표로 나누어질 수 있다. 기본 목표는 인사이트의 기간별로 미리 설정되어 있으며, 단기 5%, 중기 10%, 장기 15%이다. 성공여부를 판정하는 기준이 된다.These insight targets can be divided into basic targets and designated targets. The basic goal is set in advance for each period of the insight, 5% in the short term, 10% in the medium term, and 15% in the long term. This is the criterion for determining success.
그리고, 지정목표는 작성자가 지정한 임의의 목표가로 기본 목표보다 높은 값이어야 한다. 여기서, 하락 인사이트는 낮은 값이 된다. 이때, 지정 목표의 도달여부는 성공유무에는 영향을 주지 않지만 보조지표인 괴리율을 계산하는 기준이 된다.In addition, the designated target is an arbitrary target price designated by the creator and must be higher than the basic target. Here, Drop Insight becomes a low value. At this time, whether or not the designated goal is reached does not affect success or failure, but becomes a criterion for calculating the disparity rate, which is an auxiliary indicator.
또한, 본 발명의 일 실시예에 따르면, 'BLASH' 매수성공 정책이 적용될 수 있다.In addition, according to an embodiment of the present invention, a 'BLASH' purchase success policy may be applied.
전술한 'BLASH'는 'Buy Low And Sell High'의 약자로서, 정보 이용자에게 최적의 매매시점을 제시하는 것으로, 예측정보에 대한 일정수준 이상의 높은 평가를 받는 정보 제공자의 예측정보만을 제공하는 정책을 가리킨다. 이러한 'BLASH'는, 유료 정보 이용자에게만 제한적으로 사용 권한이 부여될 수 있다.The above-mentioned 'BLASH' is an abbreviation of 'Buy Low And Sell High', which presents the optimal trading time to information users. point Such 'BLASH' may be granted limited use rights only to paid information users.
이러한, 'BLASH' 정책에 의하면, 정보 제공자는 예측정보 작성 시 매수고가와 매수저가를 입력해야 하고, 예측정보에서 제시한 가격이 주가가 매수고가와 매수저가 사이를 벗어나지 않고 5분이상 머물러야 매수성공으로 인정받을 수 있다. 매수에 성공한 경우만 예측이 시작된 것으로 보고 평가를 진행하며 매수에 최종 실패한 경우 무효 처리함으로써 해당 정보 제공자에 대한'BLASH' 자격을 인정하게 된다. According to this 'BLASH' policy, the information provider must enter the bid high price and the bid low price when preparing forecast information, and the price suggested in the forecast information must stay within the range of the bid high price and the bid low price for more than 5 minutes to succeed in the purchase. can be recognized as Only when the purchase is successful, the prediction is considered to have started, and the evaluation proceeds. If the purchase is finally unsuccessful, it is invalidated, and the 'BLASH' qualification for the information provider is recognized.
또한, BLASH 작성 후, 정보 제공자는 추매, 홀딩, 매도 시그널을 보낼 수 있다. 추매는 비중을 5%단위로 추가하여 추가매수를 할 수 있으며, 매도는 현시점에서 매수한 비중을 즉시 매도하여 BLASH를 종료하는 시그널이다.In addition, after writing BLASH, information providers can send tracking, holding, and selling signals. Purchasing is a signal that allows additional purchases by adding a weight in increments of 5%, and selling is a signal that ends BLASH by immediately selling the proportion purchased at the present time.
이에 따라, 'BLASH'를 열람하고 알림 설정을 한 정보 이용자, 즉 유료회원은 'BLASH' 등급의 정보 제공자의 시그널을 실시간으로 알림 받을 수 있다.Accordingly, information users who have read 'BLASH' and set notifications, that is, paid members, can be notified of signals from information providers of 'BLASH' level in real time.
도 3은 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공 플랫폼 시스템의 성공 및 실패 평가 방법을 설명하기 위한 그래프를 예시한 도면으로서, 이하, 도면을 참조하여 예측정보에 대한 평가 방법을 설명한다. 이하의 평가방법은 주식을 기준으로 기재되어 있으나, 암호화폐 또한 동일한 방법으로 평가가 가능하다. 평가결과는 정보 제공자가 작성한 예측정보에 부가되어 하나의 게시글에 함께 표시될 수 있다.3 is a diagram illustrating a graph for explaining a method for evaluating the success and failure of a blockchain-based predictive information providing platform system according to an embodiment of the present invention. Hereinafter, the method for evaluating predictive information will be described with reference to the drawings. . The following evaluation method is based on stocks, but cryptocurrency can also be evaluated in the same way. The evaluation result may be added to the prediction information prepared by the information provider and displayed together in one post.
인사이트의 메인지표는 성공률이며 보조지표로 목표가괴리율, 수익률, 목표가 도달률 등이 표기될 수 있다. 이는, 목표가 지정한 목표가에 얼마나 정확하게 접근했는지를 판단하는 지표로서 예측의 정확성을 가늠할 수 있는 지표이다.The main indicator of Insight is the success rate, and the target price disparity rate, profit rate, and target price reach rate can be indicated as auxiliary indicators. This is an indicator that determines how accurately the target price has been approached, and is an indicator that can measure the accuracy of prediction.
도 3을 참조하면, 성공률(등락예측성공률)은 메인지표로서, 예측기간내에 기간별 최소 기준치에 도달한 경우에는 성공, 예측기간내에 기간별 최소 기준치에 도달하지 못한 경우는 실패로 판단된다. 이의 세부 조건으로서, 최소 10건 이상시 성공률 표시되고, 범위는 0.0% ~ 100.0%이고, 성공률은 이하의 수학식 1로 산출될 수 있다.Referring to FIG. 3, the success rate (prediction success rate) is the main indicator. If the minimum standard value for each period is reached within the forecast period, it is judged as success, and if the minimum standard value for each period is not reached within the forecast period, it is judged as failure. As a detailed condition thereof, a success rate is displayed when at least 10 cases are present, the range is 0.0% to 100.0%, and the success rate can be calculated by Equation 1 below.
Figure PCTKR2022005618-appb-M000001
Figure PCTKR2022005618-appb-M000001
또한, 보조지표로서, 목표가달성(도달)률은 목표가 기준 미달 및 초과 달성시 이를 측정하기 위한 지표이며, 범위는 '- 무한대' ~ '+무한대'이고, 상승 및 하락시 결과는 각각 이하의 수학식 2, 3로 산출될 수 있다.In addition, as an auxiliary indicator, the target price achievement (reach) rate is an indicator for measuring when the target falls below or exceeds the standard, and the range is '-infinity' to '+infinity', and the result of rising and falling is each of the following equations It can be calculated as 2 or 3.
Figure PCTKR2022005618-appb-M000002
Figure PCTKR2022005618-appb-M000002
Figure PCTKR2022005618-appb-M000003
Figure PCTKR2022005618-appb-M000003
또한, 보조지표로서, 목표가괴리율은 목표가와 실제주가와의 차이 비율을 나타내는 것으로, 범위는 0.0 ~ 무한대이고, 괴리율의 상승, 보합 및 하락은 각각 이하의 수학식 4, 5, 6으로 산출될 수 있다. In addition, as an auxiliary indicator, the target price divergence ratio indicates the ratio of the difference between the target price and the actual stock price, and the range is 0.0 to infinity, and the rise, plateau, and fall of the divergence ratio can be calculated by the following Equations 4, 5, and 6, respectively. there is.
Figure PCTKR2022005618-appb-M000004
Figure PCTKR2022005618-appb-M000004
Figure PCTKR2022005618-appb-M000005
Figure PCTKR2022005618-appb-M000005
Figure PCTKR2022005618-appb-M000006
Figure PCTKR2022005618-appb-M000006
또한, 보조지표로서, 수익률의 범위는 '- 무한대' ~ '+무한대'이고, 목표수익률(상승), 목표수익률(하락), 상승 및 하락시 최대기대수익률, 누적최대기대수익률, 평균최대기대수익률 및 한달 평균 최대기대수익율은 각각 이하의 수학식 7 내지 수학식 13으로 산출할 수 있다.In addition, as an auxiliary indicator, the range of return is '-infinity' to '+infinity', target return (rising), target return (falling), maximum expected return when rising and falling, cumulative maximum expected return, average maximum expected return, and The monthly average maximum expected rate of return can be calculated by Equations 7 to 13 below, respectively.
Figure PCTKR2022005618-appb-M000007
Figure PCTKR2022005618-appb-M000007
Figure PCTKR2022005618-appb-M000008
Figure PCTKR2022005618-appb-M000008
Figure PCTKR2022005618-appb-M000009
Figure PCTKR2022005618-appb-M000009
Figure PCTKR2022005618-appb-M000010
Figure PCTKR2022005618-appb-M000010
Figure PCTKR2022005618-appb-M000011
Figure PCTKR2022005618-appb-M000011
Figure PCTKR2022005618-appb-M000012
Figure PCTKR2022005618-appb-M000012
Figure PCTKR2022005618-appb-M000013
Figure PCTKR2022005618-appb-M000013
또한, 전술한 'BLASH'는 메인지표로 자산대비 수익률을 사용하고, 성공률, 투자금대비 수익률 등을 보조지표로 사용할 수 있다. 이때, 'BLASH'의 정보 제공자에게는 100%의 비중을 가지며, 'BLASH' 작성시 5% 단위로 비중을 추가할 수 있다. 이때, 자산대비 수익률은 비중을 100%로 모두 투자했을 때 얻을 수 있는 수익률을 의미하며, 단건의 'BLASH'의 수익률이 10% 이고, 비중을 10% 추가하였다면, 자산대비 수익률은 1%가 된다.In addition, the above-mentioned 'BLASH' uses the rate of return on assets as the main indicator, and the success rate and rate of return on investment can be used as auxiliary indicators. At this time, the information provider of 'BLASH' has a weight of 100%, and weight can be added in units of 5% when writing 'BLASH'. At this time, the rate of return on assets means the rate of return that can be obtained when all investments are made with a proportion of 100%. .
아울러, 'BLASH'의 평가시 이용되는 지표는 다음과 같이 정의될 수 있다.In addition, the index used when evaluating 'BLASH' can be defined as follows.
먼저, 매수고가는 기준가이고, 매수저가는 현재가와 동일 또는 낮으며, 손절가는 매수저가보다 낮다.First, the bid high is the base price, the bid low is equal to or lower than the current price, and the stop loss is lower than the bid low.
이를 전제로 하여, 최소목표가 및 최소손절가는 이하의 수학식 14, 15로 산출될 수 있다.Based on this premise, the minimum target price and minimum stop loss can be calculated by Equations 14 and 15 below.
Figure PCTKR2022005618-appb-M000014
Figure PCTKR2022005618-appb-M000014
Figure PCTKR2022005618-appb-M000015
Figure PCTKR2022005618-appb-M000015
또한, 총자산은 고정상수값, 즉 정보제공자가 입력한 값이고, 매수대금은 '총자산×비중'이고, 매수주식수는 '매수대금÷매수기준가'이고, 보유주식수는 'SUM(매수주식수)'이고, 평단고가(기준가)는 'SUM(매수대금) ÷ 보유주식수'이고, 매도금액은 '매도기준가 × 보유주식수'이고, 평가금액은 '평가시점의 가격 × 보유주식수'로 산출될 수 있다.In addition, total assets is a fixed constant value, that is, the value entered by the information provider, the purchase price is 'total assets × proportion', the number of shares purchased is 'purchase price ÷ purchase base price', and the number of stocks held is 'SUM (number of shares purchased)' , The average price (base price) is 'SUM (purchase price) ÷ number of shares held', the selling amount is 'base selling price × number of shares held', and the evaluation amount can be calculated as 'price at the time of evaluation x number of shares held'.
'BLASH'의 메인지표는 자산대비 수익률이고, 범위는 '- 무한대' ~ '+무한대'이고, 자산대비수익률(실현)은 '투자금액대비수익률(실현) × 비중'이고, 자산대비수익률(평가)은 '투자금액대비수익률(평가) × 비중'이고, 총자산대비수익률은 'SUM(자산대비수익률(평가)) + SUM(자산대비수익률(실현))' 이고, 총자산대비수익률(누적)은 'SUM(총자산대비수익률)'로 산출될 수 있다. The main indicator of 'BLASH' is the return on assets, the range is '-infinity' ~ '+infinity', the return on assets (realized) is 'return on investment amount (realized) × proportion', and the return on assets (evaluation) ) is 'Return to Investment Amount (Evaluation) × Proportion', Return to Total Assets is 'SUM (Return to Assets (Evaluation)) + SUM (Return to Assets (Realization))', and Return to Total Assets (Accumulated) is ' It can be calculated as 'Return on Total Assets' (SUM).
또한, 산정기간은 최근 6개월이며, 산정기간이 30일 이상인 경우 및 30일 미만인 경우 총자산대비수익률(월)은 각각 이하의 수학식 16, 17로 산출될 수 있다. In addition, the calculation period is the last 6 months, and if the calculation period is more than 30 days and less than 30 days, the total return on assets (months) can be calculated by the following Equations 16 and 17, respectively.
Figure PCTKR2022005618-appb-M000016
Figure PCTKR2022005618-appb-M000016
Figure PCTKR2022005618-appb-M000017
Figure PCTKR2022005618-appb-M000017
또한, 'BLASH'는 보조지표로 투자금액대비 수익률을 이용할 수 있다. 이러한 투자금액대비수익률은 이하의 수학식 18 내지 21로 산출될 수 있다.In addition, 'BLASH' can use the rate of return relative to the investment amount as an auxiliary indicator. The rate of return against the investment amount can be calculated by Equations 18 to 21 below.
Figure PCTKR2022005618-appb-M000018
Figure PCTKR2022005618-appb-M000018
Figure PCTKR2022005618-appb-M000019
Figure PCTKR2022005618-appb-M000019
Figure PCTKR2022005618-appb-M000020
Figure PCTKR2022005618-appb-M000020
Figure PCTKR2022005618-appb-M000021
Figure PCTKR2022005618-appb-M000021
또한, 보조지표로서 현재수익률을 이용할 수 있다. 현재수익률은 이하의 수학식 22로 산출될 수 있다.Also, the current rate of return can be used as an auxiliary indicator. The current rate of return can be calculated by Equation 22 below.
Figure PCTKR2022005618-appb-M000022
Figure PCTKR2022005618-appb-M000022
아울러, 참조지표로서, 매수시그널 시 목표가는 '평단고가(기준가) × (1+목표수익률)'로 산출될 수 있고, 이때 호가 단위가 맞지 않으면 가까운 호가로 올리게 된다.In addition, as a reference indicator, when a buy signal is issued, the target price can be calculated as 'pyeong unit price (standard price) × (1 + target rate of return)'.
손절가는 '평단고가(기준가) × (1+최대손절률)'로 산출될 수 있고, 이때 호가 단위가 맞지 않으면 가까운 호가로 내리게 된다.The stop-loss price can be calculated as 'average price (standard price) × (1+maximum stop-loss ratio)'.
또한, 보조지표로서 성공률(추천성공률=추천승률)은 이하의 수학식 23으로 산출될 수 있다.In addition, the success rate (recommendation success rate = recommendation win rate) as an auxiliary indicator can be calculated by Equation 23 below.
Figure PCTKR2022005618-appb-M000023
Figure PCTKR2022005618-appb-M000023
여기서, 성공률의 범위는 0.0% ~ 100.0%가 된다.Here, the range of the success rate becomes 0.0% to 100.0%.
전술한 'BLASH' 예측정보는 다음과 같은 기준에 의해 결과가 판단될 수 있다. 기간 내 매수밴드 진입 이후 목표가에 도달하면 성공이고, 기간 내 매수밴드 진입 이후 매수고가를 돌파한 상태에서 목표가에 도달하지 못하고 종료하면 수익종료이고, 기간 내 매수밴드에 진입 이후 손절가에 도달하면 실패이고, 기간 내 매수밴드에 진입 이후 매수저가를 돌파한 상태에서 손절가에 도달하지 않은 상태로 종료하면 실패_손실종료이고, 기간 내 매수밴드 진입 이후 매수밴드를 벗어나지 못하고 종료하면 실패_보합이고, 기간 내 매수밴드 진입하지 못하고 종료하면 무효로 판단될 수 있다.The result of the above-mentioned 'BLASH' prediction information can be judged by the following criteria. If the target price is reached after entering the buying band within the period, it is a success. If the target price is exceeded before reaching the target price after entering the buying band within the period, it is a profit. If the stop loss is reached after entering the buying band within the period, it is a failure. , If you enter the buying band within the period and exit without reaching the stop loss while breaking through the buying band, it is Fail_Loss End. If it ends without entering the buy band, it may be judged invalid.
또한, 보조지표로서, 목표가달성률을 이용할 수 있고, 범위는 '-무한대 ~ +100%'이며, 목표가달성률의 상승 및 하락시 결과는 각각 이하의 수학식 24, 25로 산출될 수 있다.In addition, as an auxiliary indicator, the target price achievement rate can be used, the range is '-infinity to +100%', and the result when the target price achievement rate rises and falls can be calculated by Equations 24 and 25, respectively.
Figure PCTKR2022005618-appb-M000024
Figure PCTKR2022005618-appb-M000024
Figure PCTKR2022005618-appb-M000025
Figure PCTKR2022005618-appb-M000025
또한, 보조지표로서, 목표가괴리율을 이용할 수 있고, 범위는 '0.0 ~ 무한대'이며, 이러한 목표가괴리율은 이하의 수학식 26로 산출될 수 있다.In addition, as an auxiliary indicator, a target price gap ratio can be used, and the range is '0.0 to infinity', and this target price gap ratio can be calculated by Equation 26 below.
Figure PCTKR2022005618-appb-M000026
Figure PCTKR2022005618-appb-M000026
시스템은, 전술한 평가 방법에 따라 개별 종목의 적중여부에 대한 통계를 도출하고, 예측정보의 정보 제공자에게 등급을 부여할 수 있다.The system may derive statistics on whether an individual event is hit or not according to the above-described evaluation method, and may assign a grade to an information provider of prediction information.
한편, 본 발명의 일 실시예에 따르면, 시스템은 정보 제공자에 등급을 부여하는데 있어서, 다음과 같은 기준이 적용될 수 있다.Meanwhile, according to an embodiment of the present invention, the system may apply the following criteria in assigning a rating to an information provider.
먼저, 등급의 기준이 되는 콘텐츠는 최근 6개월 동안 평가받은 콘텐츠에 한한다. 6개월이 지난 평가는 등급에 반영되지 않고 통계정보만 제공한다. 또한, 인사이트 작성개수와 적중률을 기준으로 11단계로 구분하고, 서비스에서 정한 특정 등급에 도달한 사용자만 'BLASH'를 작성할 수 있다.First, the content that is the criterion for rating is limited to content that has been evaluated in the last 6 months. Evaluations after 6 months are not reflected in the rating, only statistical information is provided. In addition, it is divided into 11 stages based on the number of insights created and the hit rate, and only users who have reached a certain level set by the service can write 'BLASH'.
그리고, 'BLASH'를 작성하여 월평균 자산대비 수익률이 최소 3% 이상이 되어야 유료BLASH를 작성할 수 있는 권한을 얻을 수 있다.In addition, you can write 'BLASH' and obtain the right to write paid BLASH only when the monthly average return on assets is at least 3%.
또한, 'BLASH' 수익률이 기준을 통과하여도 인사이트 적중률이 기준 이하로 떨어진다면 유료BLASH 작성권한은 박탈될 수 있다. 즉, 유료BLASH 작성권한을 얻기 위해서는 인사이트의 적중률, 'BLASH'의 수익률 2가지 평가기준을 동시에 통과해야만 한다.In addition, even if the 'BLASH' return rate passes the standard, if the insight hit rate falls below the standard, the paid BLASH creation right may be revoked. In other words, in order to obtain the right to create paid BLASH, two evaluation criteria must be passed at the same time: the hit rate of Insight and the return rate of 'BLASH'.
한편, 본 발명의 일 실시예에 따르면, 시스템은 예측정보를 제공하는 정보 제공자에게 다양한 보상을 제공함으로써, 보다 많은 사용자를 모집하여 시스템을 활성화하고 생태계를 유지할 수 있도록 한다.On the other hand, according to an embodiment of the present invention, the system activates the system and maintains the ecosystem by recruiting more users by providing various rewards to information providers who provide prediction information.
이러한 보상 정책에 따르면, 시스템은, 예측 성공시 예측정보의 종류에 따라 보상을 지급할 수 있다. 구체적으로 인사이트의 경우, 정해진 액수의 기본보상 및 보팅받은 양에 비례하여 추가보상을 지급할 수 있다. 또한, 'BLASH'의 경우 정해진 액수의 기본보상 및 보팅받은 양에 비례하여 추가보상을 지급함과 아울러, 목표수익률에 비례하여 추가보상을 더 지급할 수 있다.According to this compensation policy, the system may provide compensation according to the type of prediction information when prediction is successful. Specifically, in the case of Insight, a fixed amount of basic compensation and additional compensation in proportion to the amount of voting can be paid. In addition, in the case of 'BLASH', additional compensation can be paid in proportion to the basic reward and the amount of voting received, as well as additional compensation in proportion to the target rate of return.
또한, 본 발명의 일 실시예에 따르면, 정보 이용자는 정보 제공자의 예측정보에 대한 투표(Voting)를 수행할 수 있다. 이러한 투표는 정보 제공자가 보유한 보팅파워(VP; Voting Power)를 사용하여 수행할 수 있으며, VP는 예측정보를 열람한 사용자가 공감하는 콘텐츠에 투표를 할 수 있는 권리이다. Also, according to an embodiment of the present invention, an information user can vote on prediction information of an information provider. Such voting can be performed using the Voting Power (VP) possessed by the information provider, and VP is the right to vote for content that the user viewing the prediction information sympathizes with.
이러한 VP는 서비스 기여도에 따라 차등하여 매일 지급되며 당일 사용하지 않은 VP는 소멸한다.These VPs are paid daily according to the service contribution, and unused VPs on the same day expire.
그리고, 보팅한 예측정보가 성공하면, 시스템은 보팅 참여자에게 보상을 지급할 수 있다. 기본 보상은 BLASH가 인사이트보다 크게 설정될 수 있고, 정액의 기본보상과 보팅양에 비례하여 결정된 추가보상의 합을 사용한 보팅양에 따라 분할하여 지급할 수 있다.And, if the prediction information that was voted succeeds, the system may pay a reward to the voting participant. As for the basic reward, BLASH can be set higher than Insight, and the sum of the basic reward of flat rate and the additional reward determined in proportion to the amount of voting can be divided and paid according to the amount of voting used.
한편, 본 발명의 실시예에 따른 예측정보 제공, 평가 및 인증 플랫폼 시스템은 예측정보의 열람에 의한 수익모델을 가질 수 있다. 시스템에서 예측정보는 무료 또는 유료로 구분되며 유료는 암호화폐를 사용하여 열람할 수 있다.On the other hand, the prediction information provision, evaluation and authentication platform system according to the embodiment of the present invention may have a profit model by viewing the prediction information. Prediction information in the system is classified as free or paid, and paid can be viewed using cryptocurrency.
또한, 월정액지불에 따른 월 멤버쉽에 가입하면 모든 유료 콘텐츠를 제한없이 열람할 수 있으며, 열람 전 광고를 시청하면 유료 콘텐츠를 무료 열람할 수 있도록 한다. 또는 모든 콘텐츠에서는 광고가 연계 설정될 수 있고, 보팅 이후 자동으로 광고가 재생되는 형태의 수익모델이 적용될 수 있다.In addition, if you sign up for a monthly membership based on monthly payment, you can view all paid contents without restrictions, and if you watch advertisements before reading, you can view paid contents for free. Alternatively, advertisements may be linked to all content, and a revenue model in which advertisements are automatically played after voting may be applied.
이하, 도면을 참조하여 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보 등록 절차를 상세히 설명한다.Hereinafter, the prediction information registration procedure of the blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention will be described in detail with reference to the drawings.
도 4는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보 등록 절차를 나타낸 도면이다.4 is a diagram showing a prediction information registration procedure of a blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention.
도 4를 참조하면, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보 등록 절차에 의하면, 먼저 정보 제공자가 자신의 단말을 이용하여 시스템에 접속 및 회원 등록한 후, 예측정보를 입력(S100)하면 시스템은 등록가능여부 확인절차를 거친 후 업로드를 수행할 수 있다.Referring to FIG. 4, according to the prediction information registration procedure of the blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention, first, the information provider accesses the system using his or her terminal and registers as a member. , If the prediction information is input (S100), the system can perform upload after going through a registration availability check procedure.
상세하게는, 시스템은 해당 정보 제공자의 등록권한을 체크하고(S101), 등록건수 제한 여부를 체크한 후(S102), 문제가 없는 경우 입력된 예측정보의 대상이 되는 종목의 상장폐지, 거래정지 종목 여부를 체크한다(S103).In detail, the system checks the registration authority of the information provider (S101), checks whether the number of registrations is limited (S102), and if there is no problem, delisting or suspension of trading of the item subject to the input prediction information It is checked whether an item is available (S103).
다음으로, 시스템은 예측정보의 기준가, 목표가 기간의 유효성을 체크하고(S104), 실시간시세 지연 허용 기준 초과여부를 체크하여(S105), 상기의 모든 조건을 만족하면, 등록 가능성이 있는 것으로 판단한다.Next, the system checks the validity of the standard price and target price period of the prediction information (S104), checks whether the real-time market delay tolerance standard is exceeded (S105), and if all the above conditions are satisfied, it is determined that there is a possibility of registration. .
다음으로, 시스템은 예측정보의 예상 종료일을 계산하고(S106), 데이터 베이스(DB)에 예측정보를 저장하고(S107), 예측정보의 기록을 위한 스마트 컨트랙트를 저장한다(S108). 이어서, 투자 비중을 업데이트 하고(S109), 예측 현황 통계를 변경하여 새로운 예측정보를 통계에 반영한다(S110).Next, the system calculates the expected end date of the prediction information (S106), stores the prediction information in the database (DB) (S107), and stores the smart contract for recording the prediction information (S108). Subsequently, the investment ratio is updated (S109), and the forecast status statistics are changed to reflect the new forecast information to the statistics (S110).
다음으로, 시스템은 예측정보를 정보 제공자에 대하여 구독을 설정한 정보 이용자의 정보 이용자 단말에 실시간 스트림으로 전송(S110)하고, 팔로워에게 설정된 알림을 처리한다(S111).Next, the system transmits the prediction information as a real-time stream to the information user terminal of the information user who has subscribed to the information provider (S110), and processes the notification set to the follower (S111).
전술한 절차에 따라, 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템은 정보 제공자가 작성한 예측정보를 온라인에 게시 및 정보 이용자에게 제공할 수 있다.According to the above procedure, the blockchain-based prediction information provision, evaluation and authentication platform system according to an embodiment of the present invention can post prediction information created by an information provider online and provide it to information users.
이하, 도면을 참조하여 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보에 대한 통계 산출 절차를 상세히 설명한다.Hereinafter, with reference to the drawings, a statistical calculation procedure for prediction information of a blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention will be described in detail.
도 5는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 예측정보에 대한 적중률의 통계 산출 절차를 나타낸 도면이다.5 is a diagram showing a statistical calculation procedure of a hit rate for predictive information of a blockchain-based predictive information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 5를 참조하면, 본 발명의 실시예에 따른 적중률의 통계 산출 절차에 의하면, 통계정보 산출절차는 시스템 설정에 따라 매일 17시에 시작될 수 있고, 시스템은 종가정보를 캐시 처리한다(S201).Referring to FIG. 5 , according to the statistical calculation procedure of the hit rate according to an embodiment of the present invention, the statistical information calculation procedure may be started at 17:00 every day according to the system setting, and the system caches closing price information (S201).
다음으로, 시스템은 각 예측정보에 대한 예측정보 성공 여부를 재확인하고(S202), 사용자 적중률 현황에 대한 통계를 생성한다(S203). 이러한 적중률에 따라 각 사용자 즉, 정보 제공자에 대한 등급을 승급 또는 강등 처리하고(S204), 각 사용자 적중률에 대한 랭킹 통계를 갱신한다(S205). 이어서, 시스템은 갱신된 내용에 기초하여 예측현황 통계를 갱신한다(S206).Next, the system reconfirms whether the prediction information is successful for each prediction information (S202), and generates statistics about the current user hit rate (S203). According to the hit rate, the grade of each user, that is, the information provider, is promoted or demoted (S204), and ranking statistics for each user's hit rate are updated (S205). Subsequently, the system updates the predicted status statistics based on the updated contents (S206).
특히, 전술한 통계 산출 절차 중, 예측정보 성공 여부를 재확인하는 단계(S202)는 다음의 절차로 세분화될 수 있다. 이러한 S202 단계는 평가가 누락된 예측정보를 확인 및 통계에 포함시킬 수 있다.In particular, among the above-described statistical calculation procedures, the step of reconfirming whether prediction information is successful (S202) can be subdivided into the following procedures. In this step S202, prediction information that has been omitted from evaluation can be included in confirmation and statistics.
상세하게는, 시스템은 종료되지 않은 예측정보를 조회하고(S2021), 예측정보의 대상인 종목이 상장폐지 되거나 거래정지 되었는지 판단한다(S2022). 만약, 해당 종목이 상장폐지 또는 거래정지 종목인 경우, 예측정보를 실패로 종료 처리되고(S2023), 실패종료에 따른 목표가달성률, 목표가괴리율 및 수익률을 계산 후(2024), 절차를 종료한다.In detail, the system searches for forecast information that has not been terminated (S2021), and determines whether the item subject to the forecast information has been delisted or suspended (S2022). If the item is delisted or suspended from trading, the prediction information is terminated as a failure (S2023), and the target price achievement rate, target price divergence rate, and rate of return according to the failure end are calculated (2024), and the procedure is terminated.
또는, 시스템은 해당 종목이 상장폐지 또는 거래정지 종목이 아닌 경우, 목표가에 도달하였는지 판단하고(S2025), 도달한 경우 예측정보를 성공으로 종료 처리하고(S2026), 실패종료에 따른 목표가달성률, 목표가괴리율 및 수익률을 계산 후(2024), 절차를 종료한다.Alternatively, if the item is not delisted or suspended from trading, the system determines whether the target price has been reached (S2025). After calculating the variance rate and rate of return (2024), the procedure ends.
또는, S2025 단계에서 목표가에 도달하지 못한 경우, 손절가 도달여부(S2027)를 판단하여 도달한 경우 실패 종료 처리 루트(S2023, S2024)를 진행하고, 그렇지 않은 경우 예측기간 종료 여부를 판단한다(S2028).Alternatively, if the target price is not reached in step S2025, it is determined whether the stop loss has been reached (S2027), and if it is reached, the failure end processing route (S2023, S2024) is performed, and if not, it is determined whether the prediction period ends (S2028) .
다음으로, S2028 단계에서 예측기간이 종료된 경우 실패 종료 처리 루트(S2023, S2024)를 진행하고, 그렇지 않은 경우 성공으로서 예측정보 성공여부 재확인 절차를 종료한다.Next, if the prediction period ends in step S2028, the failure end processing route (S2023, S2024) is performed, and if not, the procedure for reconfirming whether the prediction information is successful or not is terminated as success.
이하, 도면을 참조하여 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 각 구성부에 의한 이벤트 처리 루틴을 상세히 설명한다.Hereinafter, an event processing routine by each component of a blockchain-based prediction information providing, evaluation, and authentication platform system according to an embodiment of the present invention will be described in detail with reference to the drawings.
도 6a 및 도 6b은 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템에 의한 이벤트 처리 루틴을 나타낸 도면이다.6A and 6B are diagrams illustrating an event processing routine by a blockchain-based prediction information providing, evaluation, and authentication platform system according to an embodiment of the present invention.
도 6a 및 도 6b를 참조하면, 실시간 시세 및 예측정보 파이프라인 전송 루틴(R1)은, KOSCOM API(185)로부터 장중 매 2초 마다 전종목에 대한 실시간 시세를 조회하고, 이로부터 캐시 서버(135)는 종목마스터 및 실시간 시세를 캐싱한다.Referring to FIGS. 6A and 6B, the real-time quote and prediction information pipeline transmission routine (R1) inquires real-time quotes for all items from the KOSCOM API 185 every 2 seconds during the day, and from this, the cache server 135 caches item masters and real-time quotes.
또한, 시스템은 매 2초마다 실시간 시세 스트리밍의 전송을 처리하며, 그 스트리밍 데이터는 해당 메시지 큐(175)에 저장된다. 또한, 시스템은 매 5초마다 실시간 시세 스트리밍의 전송을 처리하며, 그 스트리밍 데이터는 데이터 베이스(150)에 저장됨과 아울러 해당 메시지 큐(175)에 저장된다.In addition, the system processes the transmission of real-time quote streaming every 2 seconds, and the streaming data is stored in the message queue 175. In addition, the system processes the transmission of real-time quote streaming every 5 seconds, and the streaming data is stored in the database 150 and also stored in the corresponding message queue 175.
또한, 매수성공, 목표가, 손절가 도달 실시간 이벤트 처리 루틴(R2)으로서, 메시지 큐(175)에 저장된 데이터들은 실시간 이벤트 핸들러(170)에 의해 처리되며, 이벤트 핸들러(170)는 스트림 리드, JSON 파싱, 이벤트 타임스탬프 추가, 슬라이딩 윈도우, 형식화된 테이블 리턴(Unnest) 등의 단계를 거쳐 대상 종목의 가격이 목표가 또는 손절간에 도달하거나, 매수에 성공하면, 이벤트 처리의 결과를 해당 메시지 큐(175)에 저장한다.In addition, as the real-time event processing routine (R2) of successful purchase, target price, and stop loss, the data stored in the message queue 175 is processed by the real-time event handler 170, and the event handler 170 performs stream reading, JSON parsing, If the price of the target item reaches the target price or stop loss through steps such as adding an event timestamp, sliding window, and returning a formatted table (Unnest), or if the purchase is successful, the result of event processing is sent to the corresponding message queue (175). Save.
또한, 매수성공, 목표가, 손절가 도달 완료 처리 루틴(R3)에서는, 메시지 큐(174)에 이벤트 처리결과가 저장됨에 따라 워커 서버(140)에서 제공하는 Callback 리스너가 이를 매수성공 처리 및, 성공 또는 실패 종료에 대한 처리 내용을 데이터 베이스(150)에 저장하고, 목표가 도달시 Reward 리스너(146)를 통해 보상지급 내용을 데이터 베이스(150)에 저장하고, NFT(D1)의 발행을 체인 API(110)를 호출하여 처리한다. 체인 API(110)는 단건 예측결과 리포트에 대한 NFT(D1)를 발행하고, 블록체인 네트워크(115)에 저장한다.In addition, in the purchase success, target price, stop-loss reached completion processing routine (R3), as the event processing result is stored in the message queue 174, the callback listener provided by the worker server 140 processes the purchase success, success or failure Store the processing details for the end in the database 150, and when the target is reached, store the compensation payment details in the database 150 through the Reward listener 146, and issue the NFT (D1) through the chain API 110 process by calling The chain API 110 issues an NFT (D1) for a single prediction result report and stores it in the blockchain network 115.
또한, 손절가 도달시 데이터 큐를 참조하면 Notification 리스너(141)가 Toast Notificaiton API(181)를 호출하여 SMS 또는 푸시 메시지의 형태로 정보 이용자 단말(20)에 알림을 전송하게 된다.In addition, when the stop loss is reached, the notification listener 141 calls the Toast Notification API 181 to send a notification to the information user terminal 20 in the form of SMS or push message.
이하, 도면을 참조하여 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 이벤트 처리 절차를 설명한다.Hereinafter, event processing procedures of the blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention will be described with reference to the drawings.
도 7a 내지 도 7c는 본 발명의 실시예에 따른 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 이벤트 처리 절차를 나타낸 도면이다.7A to 7C are diagrams illustrating event processing procedures of a blockchain-based prediction information provision, evaluation, and authentication platform system according to an embodiment of the present invention.
도 7a 내지 도 7c를 참조하면, 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템의 실시간 이벤트 핸들러는, BLASH 스트림을 읽어드려 예측정보로부터 목표가 및 손절가를 추출하고, JSON 데이터를 파싱하여 'ROW'객체로 변환한다. 다음으로 'ROW'에 타임 스탬프 이벤트를 추가하고, 슬라이딩 윈도우를 생성한다. 여기서, 슬라이딩 윈도우(Sliding Window)는 현재 시간으로부터 '±N(N은 자연수) 시간' 전후의 데이터를 매 M(M은 자연수) 시간마다 추출하는 것을 의미한다.7a to 7c, the real-time event handler of the blockchain-based prediction information provision, evaluation, and authentication platform system reads the BLASH stream, extracts the target price and stop loss from the prediction information, and parses the JSON data to generate 'ROW' convert to object Next, a timestamp event is added to 'ROW' and a sliding window is created. Here, the sliding window means that data before and after '±N (N is a natural number) time' from the current time is extracted every M (M is a natural number) time.
다음으로, 이벤트 핸들러는 라스트 원, 즉 최근 예측정보를 선택하고, 테이블 값을 리턴받아 실시간 시고저종 데이터와의 비교를 통해 목표가 또는 손절가에 도달하였는지를 판단하고, 도달시 결과를 JSON에 전달하고, PUB/SUB 이벤트에 기록하여 Callback 메시지 큐에 저장한다. Next, the event handler selects the last one, that is, the latest forecast information, receives the table value returned, compares it with real-time high and low data, determines whether the target price or stop loss has been reached, and when it is reached, delivers the result to JSON, PUB /SUB event is recorded and stored in the Callback message queue.
또한, 이벤트 핸들러는 OHLC 스트림을 읽어드려 실시간 시고저종 데이터를 획득하고, JSON 데이터를 파싱하여 'ROW'객체로 변환, 타임 스탬프 이벤트를 추가 및 슬라이딩 윈도우를 생성하며, OHLC 리스트를 리턴하여 종목별 5분간 최고 및 최저가를 선택함으로써 목표가 및 손절가 판단시 참조하거나, 매수시점 판단시 참조할 수 있도록 한다.In addition, the event handler reads the OHLC stream to obtain real-time high and low data, parses the JSON data and converts it into a 'ROW' object, adds a timestamp event and creates a sliding window, and returns an OHLC list for 5 minutes per item. By selecting the highest and lowest price, you can refer to it when determining the target price and stop loss or when deciding when to buy.
또한, 이벤트 핸들러는 Signal 스트림을 읽어드려 매수밴드 정보를 획득하고, JSON 데이터를 파싱하여 'ROW'객체로 변환, 타임 스탬프 이벤트를 추가 및 슬라이딩 윈도우를 생성하며, 최근 매수밴드 정보를 선택하고, 테이블 값을 리턴받아 실시간 시고저종 데이터와의 비교를 통해 매수가에 도달하였는지 판단한다.In addition, the event handler reads the Signal stream to obtain purchase band information, parses JSON data and converts it into a 'ROW' object, adds a timestamp event and creates a sliding window, selects the latest purchase band information, and The value is returned and compared with real-time high and low data to determine whether the purchase price has been reached.
이어서, 매수가 도달시 이벤트 핸들러는 그 가격으로 매수를 수행하고 매수결과를 JSON에 전달하여 PUB/SUB 이벤트에 기록하고, Callback 메시지 큐에 저장하게 된다.Subsequently, when the purchase price arrives, the event handler performs the purchase at that price, transfers the purchase result to JSON, records it in the PUB/SUB event, and stores it in the callback message queue.
상기한 설명에 많은 사항이 구체적으로 기재되어 있으나 이것은 발명의 범위를 한정하는 것이라기보다 바람직한 실시예의 예시로서 해석되어야 한다. 따라서, 발명은 설명된 실시예에 의하여 정할 것이 아니고 특허청구범위와 특허청구범위에 균등한 것에 의하여 정하여져야 한다.Although many details are specifically described in the above description, this should be interpreted as an example of a preferred embodiment rather than limiting the scope of the invention. Therefore, the invention should not be defined by the described examples, but should be defined by what is equivalent to the claims and claims.
*부호의 설명**Description of code*
10 : 정보 제공자 단말 20 : 정보 이용자 단말10: information provider terminal 20: information user terminal
100 : 예측정보 제공, 평가 및 인증 플랫폼 시스템100: Provision of prediction information, evaluation and certification platform system
110 : 체인 API 120 : API 서버110: chain API 120: API server
130 : 배치 서버 135 : 캐시 서버130: batch server 135: cache server
140 : 워커 서버 150 : 데이터 베이스140: worker server 150: database
170 : 이벤트 핸들러 175 : 메시지 큐170: event handler 175: message queue
180 : 확장 인터페이스 API180: extended interface API

Claims (7)

  1. 하나 이상의 정보 제공자 단말로부터 특정자산에 속한 하나 이상의 종목에 대한 예측정보를 입력되면, 스마트 컨트랙트를 생성하여 예측정보를 웹 상에 게시하고, 상기 예측정보에 대한 NFT를 생성하여 블록체인 네트워크에 기록하는 체인 API;When prediction information for one or more items belonging to a specific asset is input from one or more information provider terminals, a smart contract is created to post the prediction information on the web, and an NFT for the prediction information is created and recorded in a blockchain network. chain API;
    하나 이상의 정보 이용자 단말의 시스템 이용 및 상기 예측정보의 검색과 관련된 서비스를 구현하는 API 서버;An API server that implements a service related to system use of one or more information user terminals and search for the prediction information;
    상기 예측정보의 통계와 관련된 하나 이상의 기능을 처리하는 배치 서버; 및a batch server that processes one or more functions related to statistics of the prediction information; and
    시스템에서 발생한 하나 이상의 이벤트의 알림과 관련된 하나 이상의 기능을 제공하는 워커 서버A worker server that provides one or more functions related to notification of one or more events that have occurred on the system.
    를 포함하는 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.A blockchain-based predictive information provision, evaluation and certification platform system that includes
  2. 제 1 항에 있어서,According to claim 1,
    상기 예측정보는,The prediction information,
    예측고유번호를 포함하고, 어느 하나의 종목에 대하여, 예측일시, 거래소구분, 종목코드, 예측구분 - 상기 예측구분은 상승, 보합, 하락으로 정의됨 -, 평단가, 매수저가, 매수고가, 목표가, 손절가, 비중 및, 예측기간 중, 하나 이상을 포함하는 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.Including the unique prediction number, and for any one item, forecast date, exchange classification, item code, prediction classification - The above prediction classification is defined as rising, flat, falling -, average price, purchase low, purchase high, target price, A blockchain-based forecasting information provision, evaluation and certification platform system that includes one or more of stop loss, proportion, and forecast period.
  3. 제 1 항에 있어서,According to claim 1,
    상기 체인 API는,The chain API,
    상기 스마트 컨트랙트의 실행에 따라, 상기 예측정보의 게시에 대한 보상 및 열람을 위한 비용으로 이용되는 토큰을 발행 및 지갑을 발급하는 것인, 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.In accordance with the execution of the smart contract, a token is issued and a wallet is issued, which is used as a reward for posting the prediction information and a cost for viewing. A blockchain-based prediction information provision, evaluation and authentication platform system.
  4. 제 1 항에 있어서,According to claim 1,
    상기 API 서버는,The API server,
    종목 마스터 정보, 증시일정, 종목조회 및, 상기 예측정보에 대한 댓글 기능을 제공하는 커먼 서비스;A common service that provides item master information, stock market schedules, item inquiry, and a comment function for the prediction information;
    상기 정보 제공자 및 정보 이용자의 회원 가입, 탈퇴, 로그인, 로그아웃, 본인인증, 사용자 정보조회, 변경 및, 팔로잉 또는 언팔로잉 기능을 제공하는 유저 서비스;A user service that provides membership registration, withdrawal, login, logout, identity authentication, user information inquiry, change, and following or unfollowing functions of the information provider and information user;
    랭킹 이벤트 조회 및 사용자 랭킹 조회 기능을 제공하는 랭킹 서비스;Ranking service that provides ranking event inquiry and user ranking inquiry function;
    상품조회, 프로모션 조회, 결제요청, 결제취소, 결제내역조회 및 토큰내역 조회 기능을 제공하는 페이 서비스;Pay service that provides product inquiry, promotion inquiry, payment request, payment cancellation, payment history inquiry, and token history inquiry functions;
    상기 예측정보의 등록 및 조회 기능을 제공하는 인사이트 서비스;An insight service providing registration and inquiry functions of the prediction information;
    주식에 대한 실시간 시세정보 조회 및 차트정보 조회 기능을 제공하는 KOSCOM 서비스;KOSCOM service that provides real-time quote information search and chart information search function for stocks;
    지갑생성, 토큰전송 및, 포인트와 토큰간 전환 기능을 제공하는 웰렛 서비스;Wallet service that provides wallet creation, token transfer, and conversion between points and tokens;
    정보 이용자에 의한 투표 가능한 예측정보의 조회 및 예측정보에 대한 공감 투표 기능을 제공하는 보팅 서비스; 및A voting service that provides a function to search for prediction information that can be voted by information users and to vote for consensus on prediction information; and
    토큰 예치, 취소 및, 토큰 예치에 대한 이자보상 수령 기능을 제공하는 스테이킹 서비스 중, 하나 이상을 제공하는 것인, 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.A blockchain-based prediction information provision, evaluation and verification platform system that provides one or more of the staking services that provide token deposit, cancellation, and interest compensation receipt functions for token deposit.
  5. 제 1 항에 있어서,According to claim 1,
    상기 배치 서버는,The deployment server,
    종목코드 및 종목이름을 포함하는 종목 마스터 데이터의 캐싱 배치 기능;Caching batch function of item master data including item code and item name;
    전종목 실시간 시세의 캐싱 배치 기능;Caching batch function of real-time quotes of all stocks;
    전종목 일중 시고저종 데이터의 캐싱 배치 기능;caching arrangement function of daily high and low stock data of all stocks;
    예측정보에 대한 예측 적중률에 대한 통계 정보의 캐싱 배치 기능;a caching arrangement function of statistical information about prediction hit rates for prediction information;
    정보 제공자 및 정보 이용자의 접속 기록에 따라 휴면 상태로의 전환 예정에 대한 알림 및 휴면 처리 기능;Notification of scheduled transition to dormant state and dormant processing function according to access records of information providers and information users;
    정보 제공자 및 정보 이용자가 보유한 포인트 중, 소멸 예정 포인트에 대한 알림 및 만료에 따른 소멸 처리 기능; Among the points held by information providers and information users, notification of points scheduled to expire and processing of extinction according to expiration;
    실시간 시세에 대한 스트림 전송 처리 기능; 및Stream transmission processing function for real-time quotes; and
    실시간 예측정보에 대한 스트림 전송 처리 기능 중, 하나 이상을 제공하는 것인, 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.A blockchain-based predictive information providing, evaluation and certification platform system that provides one or more of the stream transmission processing functions for real-time predictive information.
  6. 제 1 항에 있어서,According to claim 1,
    상기 워커 서버는,The worker server,
    정보 제공자 및 정보 이용자의 전자메일, 문자 및 푸시 알림을 수신하는 Notification 리스너;Notification listener to receive e-mail, text and push notifications from information providers and information users;
    결제 완료 및, 결제 취소에 대한 콜백을 수신하는 PayCallback 리스너;a PayCallback listener that receives callbacks for payment completion and payment cancellation;
    전자결제 완료에 대한 콜백을 수신하는 EformCallback 리스너;EformCallback listener for receiving a callback for electronic payment completion;
    실시간 매수성공 이벤트의 완료에 대한 콜백을 수신하는 SignalCallback 리스너;a SignalCallback listener that receives a callback for the completion of a real-time purchase success event;
    목표가 및 손절가 도달 이벤트의 완료에 대한 콜백을 수신하는 BlashCallback 리스너; 및A BlashCallback listener that receives callbacks for completion of target price and stop loss reached events; and
    예측정보의 예측 성공에 대한 보상 여부를 수신하는 Reward 리스너 중, 하나 이상을 제공하는 것인, 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.A blockchain-based prediction information provision, evaluation and authentication platform system that provides one or more of the reward listeners that receive compensation for the success of prediction information.
  7. 제 1 항에 있어서,According to claim 1,
    정보 제공자 및 정보 이용자에 대한 사용자 정보, 사용자 현황 정보 - 상기 사용자 현황 정보는 정보 제공자 및 정보 이용자의 활동현황, 평점 및 적중률을 포함함 -, 종목 마스터 정보, 예측 정보, 정보 제공자에 대한 랭킹 정보, 정보 이용자의 구독 정보 및 결제 내역 중, 하나 이상을 저장하는 데이터 베이스 서버User information about information providers and information users, user status information - The user status information includes activity status, ratings and hit rates of information providers and information users -, event master information, prediction information, ranking information about information providers, A database server that stores one or more of information user's subscription information and payment history
    를 포함하는 블록체인 기반 예측정보 제공, 평가 및 인증 플랫폼 시스템.A blockchain-based predictive information provision, evaluation and certification platform system that includes
PCT/KR2022/005618 2021-06-25 2022-04-19 Blockchain-based prediction information provision, assessment and authentication platform system WO2022270733A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2021-0083173 2021-06-25
KR1020210083173 2021-06-25

Publications (1)

Publication Number Publication Date
WO2022270733A1 true WO2022270733A1 (en) 2022-12-29

Family

ID=84545531

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2022/005618 WO2022270733A1 (en) 2021-06-25 2022-04-19 Blockchain-based prediction information provision, assessment and authentication platform system

Country Status (2)

Country Link
KR (2) KR20230000998A (en)
WO (1) WO2022270733A1 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040064884A (en) * 2003-01-10 2004-07-21 김대용 The method of forecasting fluctuation in stock market through opinions from cyberanalysts
KR20150057720A (en) * 2013-11-20 2015-05-28 조상광 Method for automatic stock trading
KR20190133573A (en) * 2018-05-23 2019-12-03 권형석 Block Chain Trading System with Smart Contract And That way
KR20190140374A (en) * 2018-06-11 2019-12-19 주식회사 비즈모델라인 Method for Evaluating Prospects for Cryptocurrency Treading

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101119346B1 (en) 2009-12-24 2012-03-06 이창근 Method for evaluating of investment analyst based on hitting ratio using on-line
KR102029455B1 (en) 2018-01-23 2019-11-08 주식회사 에이제이케이 Method of evaluating ability for selecting investment item and system for carrying out the same

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040064884A (en) * 2003-01-10 2004-07-21 김대용 The method of forecasting fluctuation in stock market through opinions from cyberanalysts
KR20150057720A (en) * 2013-11-20 2015-05-28 조상광 Method for automatic stock trading
KR20190133573A (en) * 2018-05-23 2019-12-03 권형석 Block Chain Trading System with Smart Contract And That way
KR20190140374A (en) * 2018-06-11 2019-12-19 주식회사 비즈모델라인 Method for Evaluating Prospects for Cryptocurrency Treading

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SON MI JEONG: ""The inflection point in art history"… Christie's NFT works sold at KRW 78.6 billion", HERALD CORPORATION INC., 12 March 2021 (2021-03-12), XP093016720, Retrieved from the Internet <URL:https://news.naver.com/main/read.naver?mode=LSD&mid=sec&sid1=104&oid=016&aid=0001805653> [retrieved on 20230123] *

Also Published As

Publication number Publication date
KR20230000999A (en) 2023-01-03
KR20230000998A (en) 2023-01-03

Similar Documents

Publication Publication Date Title
US20190188411A1 (en) Systems and Methods for Decentralizing Consumer Preferences, Consent and Permissions Management with Reward and Reputation Network for Enterprises Using a Blockchain Ledger
US11087363B2 (en) Apparatus and method for processing user personal information
WO2022108211A1 (en) Operating computer for management of problem solutions, problem-solving system, and problem-solving method
KR100751967B1 (en) activity-driven, customer profitability calculation system
Yermack Good timing: CEO stock option awards and company news announcements
US7529689B2 (en) Systems, methods, and mediums for transaction management
WO2019017688A1 (en) Method for making advance payment of accounts receivable
JP2004500617A (en) System and method for evaluating patents
WO2019164354A1 (en) System and method for blockchain-based social network service
WO2014185684A1 (en) Method and system for providing information on loan transaction, short sell transaction or equity swap transaction, and nontemporary computer-readable recording medium
Ølykke et al. What is a service of general economic interest?
WO2021251672A1 (en) Product transaction management computer, product transaction system, and product transaction method
WO2020032468A1 (en) Agency matching method and device, and program
WO2022270733A1 (en) Blockchain-based prediction information provision, assessment and authentication platform system
Zhuk Applying blockchain to the modern legal system: Kleros as a decentralised dispute resolution system
KR20120013565A (en) System and Method for providing stock information of refund manner based on profit prediction
WO2022177220A1 (en) Device, method, and program for evaluating trading-related information and credit score of trading actor on basis of trading details
WO2023286989A1 (en) Device and method for managing asset allocation portfolio
WO2013058419A1 (en) Online system for analyzing expenses and managing assets
WO2021015463A2 (en) Blockchain-based loan service method, and device using method
WO2022114641A1 (en) Computer for managing investment attraction by using advertising revenue, system for investment attraction by using advertising revenue, and method for investment attraction by using advertising revenue
WO2020091095A1 (en) Method and device for providing advertisement traffic transaction service
Jordan The Effect of the European Union (EU) General Data Protection Regulation (GDPR) on the Gaming Industry
WO2023234489A1 (en) System and method for reliably managing educational history of user by using nft
US20210082029A1 (en) Intermediary Method, Intermediary Device, and Recording Medium/Program

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22828582

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 22828582

Country of ref document: EP

Kind code of ref document: A1