WO2022270733A1 - Système de plateforme de fourniture, d'évaluation et d'authentification d'informations de prédiction basée sur une chaîne de blocs - Google Patents

Système de plateforme de fourniture, d'évaluation et d'authentification d'informations de prédiction basée sur une chaîne de blocs Download PDF

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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
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information
prediction
prediction information
blockchain
evaluation
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Korean (ko)
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이승백
김병곤
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주식회사 모두리치
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06Asset management; Financial planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/04Payment circuits
    • G06Q20/06Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/04Payment circuits
    • G06Q20/06Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
    • G06Q20/065Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme using e-cash
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/30Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/36Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/12Applying verification of the received information
    • H04L63/123Applying verification of the received information received data contents, e.g. message integrity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/40Network security protocols
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50Cryptographic 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

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Abstract

Est divulgué un système de plateforme de fourniture, d'évaluation et d'authentification d'informations de prédiction. Plus spécifiquement, la présente invention concerne un système de plateforme de fourniture d'informations de prédiction à base de chaîne de blocs pour, sur la base de la technologie de chaîne de blocs, gérer et entretenir des informations de prédiction pour divers types d'actifs tels que des stocks, de la cryptomonnaie et de l'immobilier, etc. Selon un mode de réalisation de la présente invention, un fournisseur d'informations, tel qu'un analyste, un professionnel, etc., télécharge des informations d'investissement concernant un actif spécifique sur la plate-forme par l'intermédiaire d'un contrat intelligent à base de chaîne de blocs, et il est ainsi permit de garantir l'intégrité d'informations et d'en reconnaître la valeur au moyen d'une évaluation de ces dernières par de multiples utilisateurs.
PCT/KR2022/005618 2021-06-25 2022-04-19 Système de plateforme de fourniture, d'évaluation et d'authentification d'informations de prédiction basée sur une chaîne de blocs WO2022270733A1 (fr)

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