KR20150094923A - User participatory method for providing stock price prediction service - Google Patents

Abstract

The present invention relates to a method for providing a user-participation stock price prediction service and, more specifically, to a method for providing a user-participation stock price prediction service, wherein a user predicts whether a stock price at a specific time point is to rise or fall, a prediction winning percentage of the user is calculated according to whether the prediction coincides with rising or falling of the actual stock price after reaching the specific time point, a user rating is determined according to the winning percentage, and it is possible to read the stock price predictions or ratings of the other users. The method for providing a user-participation stock price prediction service comprises the steps of: receiving a prediction stock price at a specific time point after the present; comparing the received prediction stock price at the specific time point with a reference stock price and recording whether it is rising or falling; comparing the actual stock price after reaching the specific time point with the reference stock price and confirming whether it is rising or falling; and setting, when the prediction of the recorded rising or falling of the stock price at the specific time point coincides with the rising or falling of the actual stock price at the specific time point, this case to ′winning′, and setting, when it does not coincide, this case to ′losing′, and calculating a winning percentage.

Description

[0001] The present invention relates to a method of providing a user participatory stock price prediction service,

The present invention relates to a method for providing a user participation type stock price forecasting service, and more particularly, to a method and system for predicting whether a stock price at a specific point in time will rise or fall, The present invention relates to a method for providing a user participation type stock price forecasting service, which can determine a user grade according to a winning rate by calculating an expected winning rate and browse a stock price prediction or rating of another user.

Many stock investors acquire stock information by connecting to a server of a securities company through the Internet, and buy or sell shares by judging the stock price fluctuation according to acquired stock information.

In addition, with the spread of smartphones and tablet PCs, individual investors have installed a mobile trding system in their mobile devices, searching for stock information and trading stocks.

As the number of sites offering stock trading or stock information increases and software or applications for stock trading become widespread, an online space where individual investors represented by ants participate directly to predict stock markets and exchange information It is increasing.

However, most private investors are predicting or analyzing the stock market through bulletin boards or blog articles, and ant stock forecasting or analytical activities are not statistically or systematically provided.

In addition, the prediction and analysis of the stock price is performed by some professional individuals, and most of the rest are simple observers and it is difficult to participate in such forecasting or analysis.

Thus, individual investors, who make up most of the stock market, can participate directly in forecasting stock prices and by statistically or processing such forecasts, they can provide a new type of service rather than a previous stock transaction or simple stock information service, There is a need to upgrade the business model of the service in one dimension.

The present invention has been developed to upgrade the business model of a stock-related service in view of the above-mentioned circumstances. The object of the present invention is to provide a method and system for user participation Thereby providing a stock price forecasting service providing method.

Another object of the present invention is to provide a method of providing a user-participating stock price forecasting service, which enables individual investors to easily participate in stock price prediction, thereby inducing active participation of individuals.

To this end, the method for providing a user participation type stock forecast service according to the present invention includes the steps of receiving a forecasted stock price at a specific point in time after the present time, recording a predicted stock price at a specific point in time, A step of comparing the actual stock price after the specific time point with the reference stock price to ascertain whether the stock price has increased or decreased at a specific point in time, Quot ;, and setting the value to " L " to calculate the winning percentage.

Here, the user rating may be determined using the calculated odds, the time for inputting the stock price up or down and the difficulty according to the specific time, or the time and the specific time for inputting the calculated odds, And determining a user class using the difficulty and the difference between the predicted stock price and the actual stock price.

According to another aspect of the present invention, there is provided a method for providing a user participation type stock price forecasting service, comprising the steps of receiving and storing a stock price increase or decrease at a specific point in time after a present time, and comparing the actual stock price with the reference stock price, And setting a value to 'W' if the stock price at the specific point in time is equal to the increase or decrease in the actual stock price at the specific point in time, do.

The method may further include determining a user's rating using the calculated odds, the time for inputting the stock price rise or drop, and the degree of difficulty according to a specific time point.

As described above, according to the present invention, since a user predicts a rise and a fall of a stock price or a stock price at a specific point in time, and provides a result of the voting, an integrated stock market forecast and analysis information gathered by all ants .

In addition, it is possible to increase the participation rate of individual investors by calculating whether or not the stock price rise / drop at the specific time predicted by the user coincides with the increase / decrease of the actual stock price, It is effective.

In addition, if the stock forecasting service according to the present invention is spread through applications and spread to general individuals, it can be positioned as a large frame for forecasting the stock market by general ants rather than the institution.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic diagram illustrating a system for providing a user-participated stock price prediction service according to the present invention; FIG.
2 is a schematic internal configuration diagram of a stock price prediction service server according to the present invention;
3 is a signal flow diagram illustrating a process for providing a user participation type stock price prediction service according to the present invention.
4 is a flowchart illustrating a process for determining a user class in a user participation type stock prediction service according to the present invention;

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The configuration of the present invention and the operation and effect thereof will be clearly understood through the following detailed description.

Before describing the present invention in detail, the same components are denoted by the same reference symbols as possible even if they are displayed on different drawings. In the case where it is judged that the gist of the present invention may be blurred to a known configuration, do.

FIG. 1 schematically shows a configuration of a user participation type stock price prediction service providing system according to the present invention.

Referring to FIG. 1, a user participation type stock prediction service providing system includes a portable terminal 100, a stock price prediction service server 200, a stock information providing server 300, and the like.

The portable terminal 100 is a terminal owned by a user who is an individual investor. The user predicts the stock price at a specific point in time and votes whether the stock price will rise or fall through the portable terminal 100. [

The portable terminal 100 receives the stock price or stock price up / down at a specific point in time and transmits it to the stock price forecasting service server 200. The mobile terminal 100 receives information including a vote result, a winning ratio, a user class, and the like from the stock prediction service server 200 and displays the stock prediction service screen to the user.

In the mobile terminal 100 according to the present invention, an application for a stock prediction service is installed. Through this application, a service screen for inputting a forecast price or an increase / decrease of a stock price and displaying various information can be provided. The portable terminal 100 may be a smart phone, a tablet PC, a notebook, or the like, but is not limited thereto, and any type of device can be used as long as the device can execute an application.

The stock prediction service server 200 is a device for providing stock prediction service related data to the portable terminal 100 while communicating with the portable terminal 100.

The stock price forecasting service server 200 receives and stores data related to a forecast stock price or stock price up / down at a specific point in time from the portable terminal 100. When a specific time comes, the actual stock price is compared with a reference stock price, Determine whether the forecasted stock price or the rise or fall of the stock price corresponds to the actual stock price rise or fall. The stock prediction service server 200 compares the user's prediction with the actual stock price to calculate the user's odds and determines the user's rating based on the calculated odds.

The stock information providing server 300 provides various stock information such as stocks, company information, closing price, market price, and sales amount to the stock price prediction service server 200. The stock price forecasting service server 200 can receive the reference stock price and the actual stock price at a specific point in time from the stock information providing server 300 and confirm the fluctuation of the actual stock price.

In this manner, the user predicts the stock price fluctuation at a specific point in time using the portable terminal 100. The stock price prediction voting method according to the embodiment of the present invention can be classified into four types.

1. Overtime time closing price voting system

It is a way to predict the next day's closing price during off-hours from 15:00 on the day (N days) to 09:00 on the next day (N + 1).

For the sake of brevity, the off-hours will be on the same day as the day of the week when the date is changed. However, if the date changes during the off-hours to prevent confusion, the day and next day before the date change will be maintained.

This vote predicts the next day's closing price without knowing the closing price of the day (comparison value), but it does not know the next day's price. It takes 6 hours until the next day's closing price (result value) Difficulty is classified as 'middle' because it can not cope with various variables.

When the next day (N + 1) 15:00 arrives, it confirms whether the next day's actual closing price has risen or declined based on the closing price of the day (day N) (here, the closing price becomes the base stock price) If there is an increase or decrease, record as 'Win', otherwise, record 'L' to calculate the win rate.

2. Off-the-shelf hourly city voting system

It is a way to predict the next day's market price during off-hours from 15:00 on the day to 09:00 the next day.

This vote predicts the next day's market value with the closing price (comparison value) of the day being known, and the difficulty level is classified as 'bottom' because it can know the next day's market value (result value)

When 09:00 on the next day comes, check whether the actual market price of the next day falls or declines based on the closing price of the next day. If the market price of the next day coincides with the rise or fall of the actual market price next day, Record the winning percentage.

3. Introductory time closing price voting method

It is a way of forecasting the closing price on the day during 09:00 am on the day and 15:00 pm on the day.

This vote predicts the closing price of the day with the previous day's closing price (comparison value) and the current market price in mind, and the closing price (result value) of the day immediately after the end of the voting time is known.

When 15:00 on the day comes, check whether the actual closing price has risen or declined on the same day as the previous day's closing price. If the closing price of the day is consistent with the rise or fall of the actual closing price on that day, record as "Win" Record the winning percentage.

4. Introductory Hour City Price Voting System

It is a way to predict the next day's market price during the market time from 09:00 on that day to 15:00 on the same day.

This vote predicts the next day's market value without knowing the closing price of the day (comparison value), and it takes 18 hours until the next day's market value (result value) The difficulty level is classified as 'phase'.

When 09:00 on the next day comes, check whether the actual market price of the next day falls or declines based on the closing price of the next day. If the market price of the next day coincides with the rise or fall of the actual market price next day, Record the winning percentage.

2 schematically illustrates an internal configuration of a stock price prediction service server according to the present invention.

2, the stock prediction service server 200 includes a communication unit 202, an operation unit 204, a user class determination unit 206, a storage unit 208, and the like.

The communication unit 202 receives the predicted stock price at a specific point in time or a stock price rise / drop at a specific point in time from the portable terminal 100, or receives the stock price information including the stock information, And transmits data related to the stock price prediction service such as user information. In addition, the communication unit 202 receives actual stock price information, stock information, and the like from the stock information providing server 300 in cooperation with the stock information providing server 300. The communication unit 202 transmits various data received from the portable terminal 100 or the stock information providing server 300 to the operation unit 204.

The arithmetic unit 204 compares the actual stock price with the reference stock price to check whether the actual stock price has risen or declined after the specific point in time, and determines whether or not the stock price rise or fall at the point in time when the user votes coincides with the increase or decrease in the actual stock price If they match, the user is set to 'win', and if they do not match, the user is set to 'L'. The operation unit 204 calculates the odds of the user by confirming the number of votes and the win / loss of the user.

In addition, when the predicted stock price at a specific point in time is inputted, the calculating unit 204 compares the predicted stock price with the reference stock price to check whether the user's vote is rising or falling, and obtains the difference between the predicted stock price and the actual stock price after the specific time comes.

The user class determining unit 206 receives the winning percentage from the calculating unit 204 and determines the user class. The user class determination unit 206 can upgrade the user grade as the winning percentage is higher.

The user rating determination unit 206 determines the degree of difficulty of voting by confirming not only the odds but also the time (out-of-office time, intestinal time) and the stock price (closing price and market price) , The user class can be determined considering both the odds and the difficulty. Also, when a predicted stock price at a specific point in time is input, the difference between the predicted stock price and the actual stock price may be a factor that determines the user rating.

The storage unit 208 stores various programs and data for the stock prediction service. The storage unit 208 according to the present invention stores predicted stock prices or stock price information at a specific point in time, and stores voting result information for each item, user's vote rate and rating.

FIG. 3 illustrates a signal flow between respective components in a process of providing a user participation type stock price prediction service according to the present invention.

Referring to FIG. 3, an application for a stock prediction service is executed in the mobile terminal 100, and a user performs a ballot through the application to adjust the stock price. The portable terminal 100 transmits the stock price up / down information (i.e., up / down information) at a specific point of time or at a specific point of time inputted by the user to the stock forecast service server 200 (S10). The up-and-down information input by the user to the mobile terminal 100 may include a rise or fall of the stock price at a specific point in time, as well as a change width (rise or fall).

The stock forecast service server 200 records a stock price rise / drop at a specific point in time using the predicted stock price or stock price information received from the portable terminal 100 at step S12. In the case of directly inputting the stock price at a specific point in time, the stock price rises or falls at a specific point in time are compared with the predicted stock price at a specific point in time when the user votes and the reference stock price, and when the stock price rise / Stock prices rise or fall at specific time points. In addition, the stock forecast service server 200 receives the actual stock price information including the company information and the stock quotes from the stock information providing server 300 (S14).

Next, the stock forecast service server 200 compares the actual stock price at a specific point of time with the reference stock price to ascertain an actual stock price rise or drop (S16).

After confirming the rise or fall of the actual stock price, it is confirmed whether the stock price rise or fall at the specific point in time recorded above coincides with the rise or fall of the actual stock price. And determines the user class according to the calculated winning percentage (S18).

When the portable terminal 100 requests the stock price service server 200 (S20), the stock price service server 200 transmits stock price information or user information to the stock prediction service server 200 Information to the portable terminal 100 (S22).

The user can confirm the change in the specific time share price (the close price, the next day price, and the next day close price) forecasted for each item (company, industry, etc.) through the item information menu on the stock price service screen of the portable terminal 100, You can check the odds and ratings of yourself and other users through the menu.

FIG. 4 illustrates a process for determining a user class in a user participation type stock prediction service according to the present invention.

4 may be performed in the portable terminal 100 or the stock prediction service server 200. However, when the portable terminal 100 and the stock prediction service server 200 are interlocked with each other The terminal 100 and the stock prediction service server 200 can share the process for determining the user's rating.

Referring to FIG. 4, in step S102, the processor for processing the user rating determines whether the input time is the over-the-air time or the in-room time in step S102.

If the input time is an over-the-air time, it is confirmed whether the stock price at the predicted specific time is the closing price or the market price (S104). When the stock price at a specific point in time is the closing price, the degree of difficulty is set to 'medium' (S110) and the difficulty level is set to 'low' when the stock price at a specific point in time is the market price (S108).

If the input time is the intrinsic time, it is checked whether the predicted value of the stock price at the specific time point is the closing price or the market price (S106). If the stock price at a specific point in time is the closing price, the degree of difficulty is set to "low" in the intraday time denomination voting system (S112). If the stock price at the specific point in time is the market price, (S114).

Next, it is determined whether the input value is an expected price or an increase / decrease in price (S116). If the input value is the predicted stock price, the predicted stock price is compared with the reference stock price to check whether the input stock price is rising or falling (S118). If the input value is a rise / fall in stock price, Use up / down information as it is.

If a specific time comes later, it is determined whether the stock price at the specific time point at which the user has voted corresponds to the increase or decrease in the actual stock price (S120).

If the result of the vote by the user is identical to the actual stock price, it is set to 'W' (S124), and if it does not match, set to 'L' (S126).

Thus, when voting difficulty and winning / losing are determined for the stock price prediction vote, the user class is determined by using the odds ratio according to cumulative wins / losses or using the odds and difficulty levels together.

Determine user rating by using only odds

For example, if the number of times the stock price fluctuates at a certain point in time by 10 votes is 8, the winning percentage is 80%, and the user class corresponding to the winning percentage of 80% can be determined.

Determine user rating using odds and difficulty

When considering the difficulty with the odds, the user rating can be determined by weighting the difficulty.

Difficulty can be divided into upper, middle and lower. Weights can be assigned to the difficulty 'upper', 'weight' to 'middle', 'weight' to 'difficult' and 'lower' to 'hard'.

For example, if the result of 10 votes indicates that the stock price fluctuates at a certain point in time, the odds of 80% will be 8, and the difficulty will be 2, '2', '2' 4, the grade score is calculated according to the following equation (1)

Here, WR is a winning rate, W _h is a weight of 'difficulty', W _m is a weight of 'difficulty', W _l is a weight of 'difficulty', N _h is a number of , N _m can be tailored to price fluctuation of the degree of difficulty "of", N _l is the number of matched the price fluctuation of the degree of difficulty, and '.

(1 * 2 + 1.5 * 2 + 1 * 4) = 8.8, and the user rating can be determined according to the calculated rating reference score.

Determine user rating using odds, difficulty, and difference values

In addition, the user rating can be determined using the difference between the predicted stock price and the actual stock price along with the odds and the difficulty.

The difference between the forecasted price and the actual stock price is used only when the stock price fluctuates and the absolute value is used as the difference value. The smaller the difference is, the higher the score must be reflected in the grade score, so the inverse of the difference value can be reflected in the grade score.

According to the embodiment of the present invention, the grade reference score can be calculated according to the following equation (2).

Where N = N _h + N _m + N _l , and P is a constant.

When the grade score is calculated in consideration of the difficulty and the difference value, the present invention is not limited to the above formula, and various mathematical expressions can be made if the weight according to the degree of difficulty is applied proportionally and the difference value is applied in an inverse proportion.

In addition, the difference between the predicted increase and the actual change (difference between the base stock price and the actual stock price) can be used when the stock price rise or fall information at a specific point in time includes the change amount.

Meanwhile, the above-described user participation type stock forecasting service providing method can be implemented by a software program and recorded on a computer-readable recording medium.

For example, the recording medium may be a hard disk, a flash memory, a RAM, a ROM, or the like embedded in each reproduction apparatus, or an external optical disk such as a CD-R or a CD-RW, a compact flash card, a smart media, have.

In this case, a program recorded on a computer-readable recording medium may include a step of receiving a predicted stock price at a specific point in time after the present, a step of recording a predicted price of the specific point in time, A step of comparing the actual stock price after the specific time point with the reference stock price to ascertain whether the stock price has risen or declined; and if the predicted stock price at the specific point in time coincides with the rise or fall of the actual stock price at the specific point in time, , And calculating a winning rate by setting the value to 'L' if they do not coincide with each other.

A program recorded on a computer-readable recording medium includes a step of receiving and storing a stock price rise or drop at a specific point in time after the present time, and a step of comparing the actual stock price after the specific point in time with a reference stock price to ascertain an increase or decrease And setting a value to 'W' if the stock price at the specific point in time is equal to the increase or decrease in the actual stock price at the specific point in time, The user participation type stock price prediction service providing method.

The functional operations and implementations described in the present specification may be embodied in digital electronic circuitry, computer software, firmware, or hardware, or a combination of any of the foregoing. The implementations described in the present disclosure may be implemented as one or more computer program products, that is, one or more modules associated with computer program instructions encoded on a program storage medium of the type for control of, or for execution by, Lt; / RTI >

While the drawings of the present invention depict operational processes, it should be understood that such operations should be performed in the order shown, in order to obtain the desired results, or that all illustrated operations should be performed. In certain cases, multitasking and parallel processing may be advantageous.

Further, specific embodiments have been described in the specification of the present invention. Embodiments are within the scope of the following claims. For example, the operations described in the claims may be performed in a different order, still achieving desirable results.

The foregoing description is merely illustrative of the present invention, and various modifications may be made by those skilled in the art without departing from the spirit of the present invention.

Accordingly, the embodiments disclosed in the specification of the present invention are not intended to limit the present invention. The scope of the present invention should be construed according to the following claims, and all the techniques within the scope of equivalents should be construed as being included in the scope of the present invention.

100: portable terminal 200: stock prediction service server
202: communication unit 204:
206: user class determination unit 208:
300: Stock information providing server

Claims (7)

Receiving a predicted stock price at a specific point in time after the present;
Comparing the predicted stock price at the specific time point with the reference stock price to record a rise or a drop;
Comparing the actual stock price after the specific time point with the reference stock price to ascertain a rise or a fall;
Calculating a winning rate by setting a value of the winning rate to 'W' if the prediction of the stock price rise or decline at the specific time point coincides with an increase or decrease of the actual stock price at the specific time point, A method of providing a participatory stock price prediction service. Inputting and storing stock price rising or falling at a specific point in time after the present,
Comparing the actual stock price after the specific time point with the reference stock price to ascertain a rise or a fall;
Calculating a winning rate by setting a value to 'W' if the increase or decrease of the stock price at the specific time point stored corresponds to an increase or decrease of the actual stock price at the specific time point, How to Provide Stock Forecasting Service. 3. The method according to claim 1 or 2,
Further comprising the step of determining a user rating based on the calculated odds ratios. The method according to claim 1,
Further comprising the step of determining a user rating by using the calculated odds, the time for inputting the predicted stock price, the difficulty according to a specific time point, and the difference between the predicted stock price and actual stock price, A method for providing predictive services. 3. The method according to claim 1 or 2,
Further comprising the step of determining a user rating using the calculated odds, the time of inputting the stock price rising or falling, and the degree of difficulty according to a specific time point. 3. The method of claim 2,
The increase or decrease in the stock price at the specific time point includes the forecast change range of the stock price,
Further comprising the step of determining a user class using the calculated odds, a time for inputting the stock price rise or drop, a difficulty according to a specific time point, and a difference between the real change width and the predicted change width, A method of providing a participatory stock price prediction service. A computer-readable recording medium on which a program for executing the method according to any one of claims 1 to 6 is recorded.

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