WO2002071297A1 - Cyber trading service device and method for analyzing buy quantity - Google Patents

Abstract

Disclosed is a cyber trading service method for providing a cyber trading service according to requests by a plurality of client PCs. When a user selects a buy order screen through a cyber trading system in the client PC, a cyber trading system transmits stock price information to the corresponding client PC. The cyber trading system receives a user's account number from the client PC, inputs an amount of previously deposited money to a previously established calculation program to calculate a buy price list, outputs calculation results to the corresponding client PC, receives the user's issue code and buy price from the client PC, inputs the corresponding issue's standard price and buy price to the previously established calculation program to calculate a quantity list, and outputs calculation results to the corresponding client PC. Therefore, the present invention reduces the transaction ordering steps according to selection by the user.

Description

Cyber Trading Service Device and Method for Analyzing Buy Quantity

BACKGROUND OF THE INVENTION

(a) Field of the Invention

The present invention relates to a cyber trading device and method

having a buy quantity analysis function. More specifically, the present

invention relates to a cyber trading device and method having a buy quantity

analysis function for enabling an investor to automatically receive buy price

volume and buy quantity results without performing any calculation in the

stage, otbuying stocks, and to easily input a buy order.

(b) Description of the Related Art

In stock trading, on-line cyber trading has greatly increased as

communication technologies and computation programs have developed. In

Korea, over 80% of traders already do daily trading, and this kind of cyber

trading is also expected to gradually increase in foreign countries.

Cyber trading will continue to increase since it has many merits such

as easy access through a use of a personal computer, provision of various

categories of stock information, real-time reference of stock quotations, and

quick buy and sell orders. Accordingly, frequencies of buying and selling the

stocks have greatly increased, which is caused by synchronization of world¬

wide stock markets, increase of daily trading, and convenience of buy and

sell orders using a computer.

Stock buying and selling has a sequential cycle of: stock price

analysis --> buy order --> stock price analysis --> profit and loss analysis --> sell order. The buy stage in more detail has: analysis of stock prices (rise

and fall rates of stock prices, and ups and downs widths of stock prices) -->

determination of buy price volume --> determination of buy prices ->

calculation of buy volume --> inputting of buy order --> buy conclusion.

When a number of stocks to buy and sell increases, an investor

needs to repeat the above-noted buy stages frequently, and accordingly,

calculation amounts and input tasks of buy orders increase.

However, in spite of changes of stock trading environments that

require much increased frequencies of buying and selling and many order

inputting tasks, conventional cyber trading systems lack information that is

provided to the investors in the buy stage, and hence, the investors daily and

personally execute various kinds of computations, and have trouble in

inputting the orders since the ordering process is performed manually. As a

result, the investors spend much more time than required, exhaust mental

energies, incorrectly calculate stock prices and corresponding quantities, and

manually issue buy and sell orders. Also, because of the same reasons, the

conventional systems fail to guarantee quick cyber trading.

Conventional problems in each stage of stock buy are as follows:

1 ) Stock price analysis stage: Price information lists are not provided

to the investors. Conventional cyber trading does not provide price lists at

the time of simultaneous bids and offers, and displays 10 quotations within a

disclosure range when the market is open. Also, the conventional cyber

trading does not provide advance-decline ratios (ADR) and advance-decline

depth at the time of simultaneous bids and offers, and it only provides a single ADR and an advance-decline depth with respect to the current price

when the market is open. Therefore, the investor needs to calculate the

stock prices such as the ADR and advance-decline depth by himself, and

since he can only calculate a single stock price at one time, he cannot wholly

determine the stock prices.

2) Buy price determination stage: The investor synthetically checks

to what ADR and advance-decline depth the buy price selected corresponds,

and determines an adequate buy price. However, since the investor cannot

know the entire stock price lists, the ADR, and the advance-decline depth, he

fails to synthetically determine the stock prices.

3) Buy money and buy quantity calculation stage: The conventional

cyber trading does not provide a calculation service of how much or what

percent of entrusted money in a stock account the investor will use to buy

desired stocks, or a systematic calculation service for calculating the buy

quantity according to the buy money and buy price. Therefore, in the case of

a diversified investment to multiple issues, the investor needs to split

previously deposited money, calculate the quantity by dividing the buy

money by buy price, and recalculate the above-noted calculations when the

buy money or buy price is changed.

4) Buy order stage: The inputting process of buy price and buy

quantity in the conventional buy order is manually executed by the investor

using a mouse and a keyboard, which causes inaccuracy and burden. This

stage is also problematic in that the investor may mistakenly input the buy

price and buy quantity as incorrect numbers, it may need dozens of manipulations of the mouse and the keyboard, and it may require an

inputting time of greater than 10 seconds. The investor may, need to check

whether the inputting process is correct, and they may not achieve correct

buy information generated by the input values, so the economic and mental

loss and cost of inputting the orders hundreds of times each day may

consequently increase. Further, since the investor uses the identical

inputting process for buy-order correcting orders and buy-order canceling

orders, the same problems can be generated.

5) Profit and loss analysis stage: After inputting the buy price and buy quantity, the investor cannot previously estimate before buying the

stocks how much he will gain or lose with respect to respective stock values when the actual transaction is performed. The investor can only know the

profit and loss results after buying the stocks, and cannot simulate the profit and loss using the buy price and quantity before buying the stocks.

Therefore, since the conventional method does not have the concept of

before-buy profit and loss for each stock, the investor cannot determine the

after-buy profit and loss for respective stocks in advance.

As a result, the investor suffers inconvenience and inaccuracy in the

above-described respective stages, many times.

SUMMARY OF THE INVENTION

It is an object of the present invention to provide a cyber trading

service device and method having a buy quantity analysis function for performing stages of 1) stock price analysis, 2) buy price analysis, 3) buy

quantity analysis, 4) buy ordering, and 5) profit and loss analysis, according

to an investor's selection, through one or two clicks of a mouse in one to

three seconds.

In one aspect of the present invention, a cyber trading service

device for providing cyber trading services according to requests by a

plurality of client PCs (personal computers), comprises: a main controller for

calculating a buy price list when a buy price calculation request is received

from a corresponding client PC, and calculating a quantity list and outputting

calculation results data when a calculation request signal on the quantity list

is received; and a quantity list calculator for dividing a previously deposited

money amount by percent (%) to calculate the buy price list when the

amount of previously deposited money is received through the main

controller, and calculating the quantity list that is buy information for

respective stock prices from the corresponding issue's standard price and

buy price and outputting corresponding calculation results to the

corresponding client PC when the user's issue code and buy price are input.

In another aspect of the present invention, a cyber trading service

device for receiving stock information from a securities corporation's server

and providing the cyber trading service comprises: a quantity calculation

^■ program storage unit for calculating a quantity list using a corresponding

issue's standard price and buy price; a CPU for controlling to load a

corresponding program in the quantity calculation program storage unit to an inner main memory, execute it, and output calculation results of the quantity

list; and a display for displaying the calculation results output by the CPU, to

a user.

In still another aspect of the present invention, a cyber trading

service method for providing the cyber trading service according to requests

by a plurality of client PCs, comprises: transmitting stock price information to

a corresponding client PC when a user selects a predetermined issue on a

buy order screen through a cyber trading system in the client PC; receiving

the user's account number from the client PC, inputting the amount of

previously deposited money to a previously established calculation program

to calculate a buy price list, and outputting calculation results to the

corresponding client PC; and receiving the user's issue code and buy price

from the client PC, and inputting the corresponding issue's standard price

and buy price to the previously established calculation program to calculate a

quantity list, and outputting calculation results to the corresponding client PC.

In further another aspect of the present invention, a cyber trading

service method for receiving stock information from a securities corporation's

server and providing the cyber trading service, comprises: (a) a CPU

displaying stock price information on a buy order screen when a user logs in

to a cyber trading system in a client PC; (b) the CPU receiving previously

deposited money information from the securities corporation's server when

the user selects a buy price calculation on the buy order screen, using a

corresponding calculation program to calculate a buy price list, and displaying the buy price list in a buy price list window; (c) the CPU using a

corresponding calculation program to calculate the buy quantity

corresponding to a stock price list and a stock price, and displaying it in a

quantity list window when the user selects a predetermined price in the buy

price list window; (d) the CPU setting a selected stock price to be a buy price,

the corresponding quantity to be a buy quantity, and automatically and

concurrently inputting them in a buy order blank when the user selects a

predetermined stock price in the quantity list window; and (e) the CPU using

a corresponding calculation program to calculate the profit and loss analysis

for each stock price and displaying the same in the quantity list window when

the user selects a predetermined stock price in the quantity list window.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and

constitute a part of the specification, illustrate an embodiment of the

invention, and, together with the description, serve to explain the principles

of the invention:

FIG. 1 shows a configuration block diagram of a cyber trading

service device according to a first preferred embodiment of the present

invention;

FIG. 2 shows a configuration of a quantity analysis system of a cyber

trading system according to the first preferred embodiment of the present

invention; FIG. 3 shows a detailed configuration of a quantity calculation

program database of the quantity analysis system according to the first

preferred embodiment of the present invention;

FIG. 4 shows a configuration of a cyber trading system in a client PC

(personal computer) of the cyber trading service device according to a

preferred embodiment of the present invention;

FIG. 5 shows a buy order screen of the cyber trading system in the

client PC according to the first preferred embodiment of the present

invention;

FIGs. 6(a) to 8(c) show an operation flowchart of a cyber trading

service method according to the preferred embodiment of the present

invention;

FIG. 9 shows a configuration block diagram of a cyber trading

service device according to a second preferred embodiment of the present

invention;

FIG. 10 shows a cyber trading system in the client PC according to

the second preferred embodiment of the present invention;

FIG. 1 1 shows a detailed block diagram of a quantity calculation

program storage unit of FIG. 10;

FIGs. 12(a) to 15 show an operation flowchart of the cyber trading

service device according to the second preferred embodiment of the present

invention;

FIG. 16 shows an exemplified buy price list calculated by the cyber

trading system; FIGs. 17(a) to 17(k) show an exemplified quantity list calculated by

the cyber trading system;

FIG. 18 shows an exemplified buy order screen according to the

preferred embodiment of the present invention, showing a buy price list, a

quantity list, and a buy order input window; and

FIG. 19 shows a comparison between a conventional buy order

method and an improved buy order method according to the preferred

embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

In the following detailed description, only the preferred embodiment

of the invention has been shown and described, simply by way of illustration

of the best mode contemplated by the inventor(s) of carrying out the

invention. As will be realized, the invention is capable of modification in

various obvious respects, all without departing from the invention.

Accordingly, the drawings and description are to be regarded as illustrative in

nature, and not restrictive.

FIG. 1 shows a configuration block diagram of a cyber trading

service device according to a first preferred embodiment of the present

invention.

As shown, the cyber trading service device comprises: a plurality of

client PCs 200(1 ) to 200(N); a communication network 300; and a quantity

analysis system 100. A securities corporation installs an exclusive-use emulator or a web

browser for cyber trading in the client PCs 200(1) to 200(N) through the

communication network 300 or a compact disk (CD). When the exclusive-use

emulator or the web browser is executed, the client PCs 200(1) to 200(N) are

connected to the quantity analysis system 100, and when each user selects

a quantity calculation button on a buy order screen, an issue code and a buy

price are output to the quantity analysis system 100 through the

communication network 300. The client PCs receive a quantity list from the

quantity analysis system 100, and it is displayed on a buy order screen on

the client PC 200.

The communication network 300 connects communication cables

between the client PCs 200(1) to 200 (N) and the quantity analysis system

100 of each securities corporation so as to transmit and receive data of a

quantity list. When an issue code and a buy price are input through the buy

order screen of each client PC according to each user's quantity calculation

selection, the quantity analysis system 100 inputs a basic value and the buy

price to a previously established calculation program to calculate the quantity

list, and outputs the calculation results to the corresponding client PC.

FIG. 2 shows a configuration of the quantity analysis system 100 of

the cyber trading system according to the first preferred embodiment of the

present invention.

Referring to FIG. 2, the quantity analysis system 100 comprises: a

main controller 1 10; a communication controller 120; a client information

database 130; an account information database 140; a stock price information database 150; a management program input unit 160; a quantity

calculation program database 170; and a quantity list calculator 180.

The communication controller 120 performs wire and wireless

communication related to quantity lists between the client PC 200(1) to

200(N) and the quantity analysis system 100. When an account number, an

issue code, and a buying price according to each user's selection of quantity

calculation are input, the communication controller 120 receives data and

transmits the data to the main controller 110, and outputs a quantity list to

the corresponding clients PC(200(1), ... , 200(N)) through the communication

network 300 according to control by the main controller 110. The main

controller 110 determines whether the account number, the issue code, and

the buying price according to each client PC user's selection of quantity

calculation are input on the basis of a management program input through

the management program input unit 160.

Also, the main controller 110 uses corresponding programs of the

quantity calculation program database 170, the account information

database 140, and the corresponding data of the stock price information

database 150, each input through the management program input unit 160,

to drive the quantity list calculator 180 to calculate the quantity list and

control to output calculation data. The client information database 130

provides the main controller 110 with data needed for determining registered

user states at the time of logging in. The account information database 140

for storing information on the user's previously deposited money provides an available buying price to the quantity list calculator 180. The stock price

information database 150 transmits the standard price of the corresponding

item to the quantity list calculator 180.

The management program input unit 160 inputs various

management programs and a quantity list calculation program related to the

cyber stock trading used at the main controller 1 10 by a manager of the

quantity analysis system 100. A calculation program of the quantity

calculation program database 170 is transmitted to the quantity list calculator

180 according to instructions by the main controller 1 10. Various calculation

programs of the quantity calculation program database 170 have built-in

commission rates and break-even point rates, and a process for receiving

other parameters (e.g., a standard price and a buying price) and calculating

them will be described below. The quantity list calculator 180 uses

calculation programs and input parameters to perform calculation according

to control by the main controller 1 10. In the calculations, the corresponding

calculation program of the quantity calculation program database 170 input

by the management program input unit 160, the buying price, and the

standard price of the corresponding item input by the stock price information

database 150 are used to calculate the quantity list, and the calculation

results are transmitted to the main controller 1 10.

FIG. 3 shows a block diagram of the quantity calculation program

database 170 of the quantity analysis system 100 according to the first

preferred embodiment of the present invention. The quantity calculation

program database 170 of the quantity analysis system 100 comprises a buy price calculation program 170a and a quantity calculation program 170b, and

additional units may be added, removed, or modified if needed.

Operations of the respective calculation programs of the quantity

calculation program database 170 are as follows. The buy price calculation

program 1 70a of the quantity calculation program database 170 calculates a

volume list of the buy price using the amount of previously deposited money

(buying money) of account information, outputs a percent list having a range

from 1 to 100%, and multiplies the buying money by the percent to output a

buy money list for the respective percents (In the case the buying money is

7,500,000 Won, the buy price becomes 7,500,000, 7,425,000, 7,350,000, ... ,

150,000, 75,000 Won).

The quantity calculation program 170b calculates a buyable quantity

for each stock price, and other information (commission, commission rates,

break-even points, and break-even differences) according to a stock price list

(including ADR and advance-decline depth) to which nominal prices from the

highest limit to the lowest limit of corresponding issues are applied, by using

the input items including the standard prices of the corresponding issues and

the buy prices. The calculation process includes 1) calculating the highest

limit price and the lowest limit price with reference to the standard price of

the corresponding issue, and applying the nominal prices from the highest to

lowest limit prices to produce a stock price list, 2) dividing the respective

stock prices of the stock price list by the standard price to produce the ADR,

3) subtracting the standard price from the respective stock prices of the stock

price list to produce the advance-decline depth, 4) dividing the buy prices by the respective stock prices to calculate the buyable quantity, 5) multiplying

the stock price by the buy quantity to produce the actual buy price, 6)

multiplying the actual buy price by the commission rate, and adding a default

commission to the multiplied results to produce the commission, 7) dividing

the commission by the actual buy price to produce the commission rate, 8)

multiplying the stock price by the break even point rate to produce the break

even point, and 9) subtracting the stock price from the break even point to

produce the break-even difference. In the case of nations where stock prices

have no highest and lowest limit prices, the stock price list is produced with

reference to values (e.g., ± 20.0%, -10.0 ~ +30.0%) set by the user.

FIG. 4 shows a cyber trading system 200 in a client PC in a cyber

trading service device according to the preferred embodiment of the present

invention.

Referring to FIG. 4, the cyber trading system 200 in the client PC

comprises a central processing unit (CPU) 210; a communicator 220; a cyber

trading program storage unit 230; and a buy order screen 240.

The communicator 220 performs wire and wireless communication,

related to production of a quantity list, between the client PCs 200(1 ) to

200(N) and the quantity analysis system 100. The communicator 220 outputs

an account number, an issue code, and a buy price resulting from each

user's selecting the quantity calculation button of the quantity analysis

system 100, and receives the quantity list from the quantity analysis system

100.

The CPU 210 controls to output the account number, the issue code, and the buy price according to the user's selection of the quantity calculation

button. Also, the CPU 210 displays the quantity list data input by the quantity

analysis system 100 through the communicator 220, in a quantity list window.

The cyber trading program storage unit 230 stores a cyber-trading-

only emulator program, automatically downloaded from the quantity analysis

system 100 after log-in.

The buy order screen 240 displays a quantity list according to control

by the CPU 210, and outputs the buy quantity and buy unit-cost data input

by the user for buying desired stocks to the quantity analysis system 100.

FIG. 5 shows an exemplified buy order screen 240 of the cyber

trading system 200 in the client PC according to the first preferred

embodiment of the present invention.

The buy order screen 240 of the cyber trading system 200

comprises: a buy price calculation button 240a; a buy price list window 240b;

a buy price input blank 240c; a quantity calculation button 240d; a quantity

list window 240e; a buy quantity input blank 240f; a buy unit-cost input blank

240g; and a nominal price information window 240h.

In this instance, the buy price calculation button 240a of the buy

order screen 240 enables division of the amount of previously deposited

money of the user's stock account into 100 1 % units to calculate the same.

The buy price list window 240b displays the list of the amount of previously

deposited money divided into 100 1% units. The buy price input blank 240c

receives corresponding values when the user directly inputs the buy price through a keyboard or selects a predetermined value of the buy price list

window 240b. The quantity calculation button 240d is an instruction button

for calculating the buyable quantity for each stock with reference to the price

of the buy price input blank 240c. The quantity list window 240e displays the

quantity list for each stock calculated according to the instruction by the

quantity calculation button 240d. When the user selects a predetermined row

in the quantity list window 240e, the buy quantity input blank 240f and the

buy unit-cost input blank 240g automatically and concurrently receive the

row's stock price and quantity. The nominal price information window 240h

displays stock price information including the corresponding issue's standard

price, nominal price, and buy and sell quantity for each nominal price.

With reference to the drawings, an operation of the cyber trading

service device and method according to the first preferred embodiment of the

present invention will now be described in detail.

FIGs. 6(a) to 8(c) show flowcharts for the cyber trading service

method according to the preferred embodiment of the present invention.

As shown, when the user executes a cyber-trading-only emulator or

a web browser in the client PC 200(1 ), the client PC 200(1) accesses the

quantity analysis system 100 of each securities corporation through the

communication network 300 in step S1 .

After accessing the quantity analysis system 100, the client PC

200(1 ) displays a log-in screen output by the quantity analysis system 100 in

step S2. The client PC 200(1 ) outputs the ID and the password input by the

user to the quantity analysis system 100, and the main controller 1 10 of the

quantity analysis system 100 determines whether the ID and the password

are matched with the data registered to the client information database 130.

When the user is found to be a registered user after said determination, the

main controller 1 10 outputs a main screen in step S3.

After this, when the user selects the buy order screen 240 and inputs

(or selects) an issue number of a desired stock (including stocks, futures,

and options) to the client PC 200(1 ), the CPU 210 periodically receives

information on the prices (including standard prices, nominal prices, sell/buy

prices, etc.) of the issues from the quantity analysis system 100, and

displays it on the nominal price information window 240h in step S4. ^■

The above steps S1 to S4 correspond to a conventional cyber

trading method.

Under this status, the CPU 210 determines whether the user directly

inputs the buy price to the buy price input blank 240c through the keyboard

or selects the buy price calculation button 240a in step S5. When it is found

that the user directly inputs the buy price to the buy price input blank 240c,

the CPU 210 receives the input buy price in step S6.

Referring to FIGs. 7(a) and 7(b), when the user selects the buy price

calculation button 240a so as to know the list of the amount of previously

deposited money and the buy price of divided amount of previously

deposited money in step S7, the CPU 210 outputs a buy price calculating

key signal and the user's account number data to the quantity analysis system 100 in step S8a.

The main controller 1 10 of the quantity analysis system 100

determines whether the buy price calculating key signal and the user's

account number data are input from the client PC 200(1) through the

communication controller 120 in step S8b.

When the key signal is found to be input at the time of calculating the

buy price after the determination, the main controller 1 10 transmits the buy

price calculation program 170a of the quantity calculation program database

170 to the quantity list calculator 180 in step S8c, transmits the amount of

previously deposited money of the account information database 140 to the

quantity list calculator 180 in step S8d, and instructs the quantity list

calculator 180 to execute a corresponding calculation in step S8e.

Next, the quantity list calculator 180 inputs the amount of previously

deposited money to the buy price calculation program 170a according to the

calculation instruction from the main controller 1 10 in step S8f, and divides

the amount of previously deposited money into units of from 100 to 1 % in 1 %

graduations in step S8g. (That is, the amount of the previously deposited

money is multiplied by 100%, 99%, 98%, ... , 3%, 2%, 1 % to produce the

volume of the buy price per percent.) The division units may be variously

applied according to the values (e.g., 1 % graduations, 2% graduations,

ranges of between 20 and 50%, or between 30 and 100%) set by the user,

or the amount of the previously deposited money may be redefined per

1 ,000/10,000 Won. The quantity list calculator 180 transmits a calculation completion

signal and calculated buy price list data to the main controller 1 10 in step

S8h.

When receiving the calculation completion signal and the buy price

list from the quantity list calculator 180 in step S8i, the main controller 1 10

outputs the buy price list data to the client PC 200(1 ) through the

communication controller 120 in step S8j.

When the buy price list data are input to the client PC 200(1 ) from

the quantity analysis system 100 in step S8k, the CPU 210 of the client PC

displays the input buy price list data to the buy price list window 240b of the

buy order screen 240 in step S8I.

Next, when the user synthetically handles the percentages and the

buy prices per percent of the buy price list window 240b to determine the buy

price, (or to complete making a volume decision), and selects a

predetermined line (a row, percent, and buy price) of the buy price list

window so as to input the determined buy price in step S9, the CPU 210

inputs the selected buy price to the buy price input blank 240c, and highlights

the corresponding line in step S10.

Here, the user can modify the buy price of the buy price input blank

240c to other values using a spin button or a keyboard.

Next, referring to FIGs. 8(a) to 8(c), when the user selects the

quantity calculation button 240d of the buy order screen 240 in step S11 , the

CPU 210 outputs a quantity calculating key signal, an issue code, and buy

price data of the buy price input blank 240c to the quantity analysis system 100 in step S 12a.

The main controller 1 10 of the quantity analysis system 100

determines whether a quantity calculating key signal, an issue code, and buy

price data are input from the client PC 200(1 ) through the communication

controller 1 10 in step S12b.

When the quantity calculating key signal is input after the

determination, the main controller 1 10 transmits the quantity calculation

program 170b of the quantity calculation program database 170 to the

quantity list calculator 180 in step S12c, transmits the standard price of the

corresponding issue of the quantity calculation program 170b to the quantity

list calculator 180 in step S12d, transmits the buy price input from the client

PC to the quantity list calculator 180 in step S12e, and instructs the quantity

list calculator 180 to execute the corresponding calculation in step S12f.

Next, the quantity list calculator 180 inputs the standard price and

the buy price to the quantity calculation program 170b according to the

calculation instruction from the main controller 1 10 in step S12g, calculates

the highest and lowest limit values using the corresponding issue's standard

price in step S12h, and calculates a stock price list by applying the nominal

prices from the highest limit value to the lowest limit value in step S12i. Next,

the quantity list calculator 180 divides the respective stock prices of the stock

price list produced in the previous step S12i by the standard price to

calculate the ADR list for the respective stock prices in step S12j, subtracts

the standard price from the respective stock prices of the stock price list to

calculate a per-stock advance-decline depth list in step S12k, and divides the buy price input from the client PC by the respective stock prices of the stock

price list to calculate the buyable quantity for each stock price in step S121.

Next, the quantity list calculator 180 multiplies the buyable quantity

by the stock price of the stock price list to calculate the actual buy price for

each stock price in step S12m, multiplies the actual buy price by the

commission rate according to the volume of transaction money, adds the

default commission to the multiplied value to calculate the commission for

each stock price in step S12n, divides the commission by the actual buy

price to calculate the commission rate in step S12o, multiplies the stock price

by the break-even point rate to calculate the break-even point for each stock

price in step S12p, and subtracts the stock price from the break-even point to

produce the break-even difference for each stock price in step S12q, and

thence the calculation is completed.

When the calculation is completed, the quantity list calculator 180

transmits a calculation completion signal and quantity list data (including the

stock prices, ADRs, advance-decline depths, actual buy prices, commission

(rates), and break-even point (break-even difference) lists) to the main

controller 1 10 in step S12r.

When receiving the calculation completion signal and the quantity list

data from the quantity list calculator 180 in step S12s, the main controller

1 10 outputs the quantity list data to the client PC 200(1) through the

communication controller 120 in step S12t.

When the quantity list data are input to the client PC 200(1 ) from the

quantity analysis system 100 in step S12u, the CPU 210 of the client PC 200(1 ) displays the input quantity list data to the quantity list window 240e of

the buy order screen 240 in step S12v.

Next, a process for the user to synthetically analyze the stock prices,

ADRs, and advance-decline depths; select a desired buy price; and input a

buy order while the stock price and the buy quantity are displayed in the

quantity list window 240e will be described.

The CPU 210 determines whether the user selects (or clicks twice) a

predetermined row of the quantity list window 240e so as to input a buy order

in step S13.

When the user is found to select the predetermined row of the

quantity list window 240e after the determination, the CPU 210 automatically

inputs the stock price of the row selected by the user in the input blank 240g,

and automatically inputs the quantity of the row selected by the user in the

buy quantity input blank 240f at the same time in step S15. Accordingly, by

the user's selecting the predetermined row using a mouse, the buy unit-cost

and the buy quantity needed for the buy order are concurrently and

automatically input.

The CPU 210 highlights the selected row in the quantity list window

240e and the corresponding stock price in the nominal price information

window 240h in step S16 (so that the user may easily and visually find the

buy price and the position where the quantity is displayed.)

Next, when the user selects a buy order transfer button according to

the user's final confirmation and determination, the CPU 210 outputs an account number, a transaction password, an issue code, a buy unit cost in

the buy unit cost input blank 240g, and buy quantity data in the buy quantity

input blank 240f to the quantity analysis system 100 in step S17. Accordingly,

the quantity analysis system 100 transmits them to the KOSCOM 400 and

outputs transaction conclusion results to the client PC.

A case when the user cancels or amends the input order will now be

described. After the buy order is input, when the user selects an order cancel

instruction of the right button of the mouse positioned on the row

corresponding to the highlighted buy price in the quantity list window 240e or

the nominal price information window 240h in step S18, the CPU 210

cancels the buy order matched with the corresponding price in step S19.

Also, when the user drags the row matched with the highlighted buy

price in the quantity list window 240e or the nominal price information

window 240h to a different price or selects a new price in step S20, the CPU

210 automatically inputs the selected price in the buy unit-cost input blank

240g, and when the user selects an order correction instruction, it sets the

newly selected price as a correction price, and performs a buy correction

order in step S21.

Accordingly, the user can correctly, quickly, and easily provide a buy

order while viewing the buy unit cost and buy quantity information, thereby

having a more advantageous investment environment.

A second preferred embodiment for enabling the client PC's cyber

trading system to calculate the quantity list by marginally modifying the first

preferred embodiment for calculating the quantity list by a securities corporation's quantity analysis system 100 will now be described.

In the second preferred embodiment, the client's PC's cyber trading

system and not the securities corporations' quantity analysis system 100

calculates all of the quantity lists.

FIG. 9 shows a configuration of the quantity analysis system 100

according to the second preferred embodiment of the present invention. FIG.

9 corresponds to a system for providing information on the accounts and

stock prices generally used by the securities corporations.

Referring to FIG. 9, the quantity analysis system 100 comprises a

main controller 1 10; a communication controller 120; a client information

database 130; an account information database 140; and a stock price

information database 150.

The communication controller 120 of the quantity analysis system

100 performs wire and wireless communication related to the information on

the clients, dealing with accounts and stock prices, between the client PCs

200(1) to 200(N) and the quantity analysis system 100. The communication

controller 120 outputs the user's account information (the previously

deposited money amount) and stock price information (the standard price)

data to the corresponding client PCs 200(1 ) to 200(N) through the

communication network 300. The main controller 1 10 controls information on

the account of the stock price to output to the corresponding client PC. The

client database 130 provides data needed for determining registered user

states at the time of logging in. The account information database 140 provides the user's previously deposited money data. The stock price

information database 150 stores stock price information including the

corresponding issues' standard prices, current prices, nominal prices, buy

and sell quantities for each nominal price, transaction volumes, highest and

lowest limit values respectively input from the KOSCOM 400, and provides it

to the client PC.

FIG. 10 shows a configuration of a cyber trading system 200 in the

client PC according to the second preferred embodiment of the present

invention.

The cyber trading system 200 in the client PC comprises a CPU 210;

a communicator 220; a quantity calculation program storage unit 230; and a

buy order screen 240.

The communicator 220 performs wire and wireless communication

related to information on the accounts and stock prices between the client

PC and the quantity analysis system 100. The communicator 220 receives

previously deposited money data according to the user's referring to the

amount of previously deposited money, and a corresponding issue's stock

price information, and transmits them to the CPU 210. The CPU 210 1 )

controls to request and receive account information from the quantity

analysis system 100, 2) displays stock price information, 3) calculates the

buy price and the quantity list according to the user's request of calculating

the buy price and the quantity list, 4) displays the buy price and quantity list

data, and 5) executes a buy order. The quantity calculation program storage unit 230 stores various programs for calculating the buy price, the quantity

list and the profit and loss analysis automatically downloaded from the

quantity analysis system 100 after log-in. The programs are not varied as

long as the nominal price units, the depth of the highest and lowest limits,

and the commission rates are not changed. Hence, once they are

downloaded in the initial step, they do not need to be downloaded each

accessing time. The buy order screen 240 displays the corresponding

issue's stock price information, the buy price list and the quantity list

information according to control by the CPU 210, and outputs the buy

quantity and buy unit cost data input by the user to buy desired stocks, to the

quantity analysis system 100.

FIG. 1 1 shows a configuration of the quantity calculation program

storage unit 230 according to the second preferred embodiment of the

present invention. The programs in the quantity calculation program storage

unit 230 comprise: a buy price calculation program 230a; a quantity

calculation program 230b; and a profit and loss analysis program 230c. The

operation of the buy price calculation program 230a and the quantity

calculation program 230b is identical with that of the buy price calculation

program 170a and the quantity calculation program 170b, and therefore no

operation of the corresponding programs will be described.

The profit and loss analysis program 230c analyzes various kinds of

profit and loss, assuming that the quantity of the buy quantity input blank

240f is set to be a quantity, the stock price of the buy unit cost input blank

240g is set to be a buy price, and the stock price of the stock price list is set to be a sell price. The process of analyzing the profit and loss includes 1 )

dividing the stock price of the stock price list by the buy price to calculate an

earning rate for each stock price, 2) subtracting the buy unit price from the

stock price to calculate a profit and loss degree, and 3) multiplying the profit

and loss degree by the quantity to calculate a total profit and loss. Further,

the profit and loss analysis program 230c may include calculations of: the

commission for each stock price (i.e., (buy price + sell price) x commission

rate); the commission rate (i.e., commission / (buy price + sell price)); the net

profit or loss (i.e., total profit or loss - commission); the net profit or loss rate

for each stock price (i.e., (total profit or loss - commission) / total buy price);

the total sell price (i.e., stock price x quantity); and the total sell rate (i.e.,

total sell price / total buy price). The profit and loss analysis method can

calculate the profit and loss for each stock price after the user selects the

buy unit cost and the buy quantity.

A process for the cyber trading service device to calculate a buy

price list, a quantity list, and a profit and loss analysis according to the

second preferred embodiment of the present invention will now be described.

Referring to FIG. 12(a), a client PC 200(1 ) accesses each securities

corporation's quantity analysis system 100 through the communication

network 300 in step T1 . The client PC displays a log-in screen and outputs

an ID and a password to the quantity analysis system 100 in step T2. In the

case the user is a registered one, the quantity analysis system 100 outputs

the most recent cyber trading program and the CPU 210 stores the downloaded quantity calculation program in the quantity calculation program

storage unit 230 in step T3.

When the user selects the buy order screen 240 on the client PC

200(1 ), the CPU 210 displays the buy order screen 240, and when the user

inputs (or selects) an issue code, the CPU 210 periodically receives stock

price information from the stock price information database 150 of the

quantity analysis system 100 and displays it in the nominal price information

window 240h in step T4. The steps of T1 to T4 are well known to skilled

persons and accordingly no further corresponding description will be

provided.

Next, a process for calculating the buy price list and the quantity list

through the cyber trading system of the client PC 200(1 ) will be described.

Referring to FIG. 12(b), under this state, the CPU 210 determines

whether the user directly inputs the buy price in the buy price input blank

240c through a keyboard or selects the buy price calculation button 240a in

step T5. When it is found from the determination that the user directly inputs

the buy price in the buy price input blank 240c, the CPU 210 receives the

input price in step T6.

Referring to FIG. 13, when it is found that the user selects the buy

price calculation button 240a in step T7, the CPU 210 outputs user account

number data to the quantity analysis system 100 in step T8a. When a

request for account information (or amount of previously deposited money) is

input, the quantity analysis system 100 outputs the user's previously

deposited money data of the account information database 140 to the client PC 200(1 ) in step T8c. The options of directly inputting the buy price through

a keyboard or selecting the buy price calculation button are provided for

improving the user's convenience.

Next, when account reference (or previously deposited money) data

are input to the client PC 200(1) from the quantity analysis system 100 in

step T8d, the CPU 210 calls the buy price calculation program 240a from the

quantity calculation program storage unit 230, and inputs the amount of

previously deposited money to the buy price calculation program 240a to

calculate a buy price list in step T8e. Since this calculation is matched with

that executed by the quantity list calculator 180 of the quantity analysis

system 100, no further detailed description will be described.

When the calculation is finished, the CPU 210 displays the

calculated data in the buy price list window 240b in step T8f.

Next, when the user selects a predetermined line (row, percent, buy

price) on the buy price list 240b so as to know the buyable quantity for each

stock price according to the buy price in step T9, the CPU 210 inputs the

selected buy price in the buy price input blank 240c and highlights the

corresponding line on the buy price list in step T10.

After this, referring to FIG. 14, when the user selects the quantity

calculation button 240d of the buy order screen 240 in step T1 1 , the CPU

210 calls the quantity calculation program 240b from the quantity calculation

program storage unit 240 in step T12a, and the corresponding issue's

standard price from the nominal price information window 240h in step T12b. The CPU 210 then calculates the quantity list (stock prices, ADRs,

advance-decline depths, commissions, commission rates, break-even points,

and break-even differences). Since this calculation is matched with that

executed by the quantity list calculator 180 of the quantity analysis system

100 according to the first preferred embodiment of the present invention, no

further detailed description will be provided.

When the calculation is finished, the CPU 210 displays the

calculated data in the quantity list window 240d in step T12e.

Next, a process for inputting a buy order and analyzing the profit and

loss will be described.

Referring to FIG. 12c, the CPU 210 determines whether the user

synthetically checks the stock price, ADR, advance-decline depth and

quantity, decides a desired buy price, and selects (or clicks twice using a

mouse) a predetermined row of the quantity list window 240e to input a buy

order in step T13.

When the user selects the predetermined row of the quantity list

window 240e after the determination, the CPU automatically inputs the stock

price on the row selected by the user in the buy unit cost input blank 240g,

and at the same time, it automatically inputs the quantity on the row selected

by the user in the buy quantity input blank 240f in step T15, and the CPU

210 highlights the row selected by the user in step T16.

Also, the CPU 210 executes the profit and loss analysis assuming

that the quantity of the buy quantity input blank 240f is set to be a quantity,

the stock price of the buy unit cost input blank 240g is set to be a buy price, and the stock price of the stock price list is set to be a sell price.

The CPU 210 calls the profit and loss analysis program 230c from

the quantity calculation program storage unit 240 in step T17a, and inputs

the stock price list, the buy quantity, and the buy unit cost to the profit and

loss analysis program 230c in step T17b. Next, the CPU 210 divides the

stock price of the stock price list by the buy price to calculate the earning rate

for each stock price in step T17c, subtracts the buy unit cost from the stock

price of the stock price list to calculate a profit and loss depth in step T17d,

and multiplies the profit and loss depth by the quantity to calculate the total

profit or loss for each stock price in step T17e, and therefore, the

corresponding calculation is finished.

When the calculation is finished in step T17f, the CPU 210 displays

the calculated profit and loss analysis data (including the total profit and loss,

the earning rate, and the profit or loss depth) in the quantity list window 240d

in step T17g. Therefore, since the user can previously check the changes of

the total profit and loss varied for each price using the buy price and quantity

before transmitting a buy order (i.e., without actually buying the stocks), the

user can more correctly decide a buy opinion.

Further, the profit and loss analysis program 230c may include

calculations of: the commission for each stock price (i.e., (buy price + sell

price) x commission rate); the commission rate (i.e., commission / (buy price

+ sell price)); the net profit or loss for each stock price (i.e., total profit or loss

- commission); the net profit or loss rate (i.e., (total profit or loss -

commission) / total buy price); the total sell price (i.e., stock price x quantity); and the total sell rate (i.e., total sell price / total buy price) in addition to the

total profit and loss, the earning rate, and the profit or loss depth.

Next, when the user selects a buy-order transmission button, the

CPU 210 outputs buy order information to the quantity analysis system 100

in step T18. The process for canceling or correcting the order is matched

with that of the first preferred embodiment in steps T19 to T21 .

For reference, several data and calculation results applied to the

embodiments of the present invention will now be described.

FIG. 16 shows an exemplified buy price list calculated by the quantity

analysis system 100 or the cyber trading system 200. In the case of an

unpaid buy (or a credit order), the amount of previously deposited money

becomes 100%, and the maximum credit buy becomes 250% (in the case of

2.5 times), and hence, the buy price list can be expanded. In the case of

desiring to buy a plurality of issues, the user can divide the amount of

previously deposited money according to a predetermined percent and

assign the divided money to buy the issues. Also, since the user can

synthetically determine the percent of the previously deposited money of the

list and the corresponding money, the user can more correctly and quickly

decide the buy price.

FIGs. 17(a) to 17(k) show exemplified quantity lists calculated by the

quantity analysis system 100 or the cyber trading system 200. In regard to all

the stock prices (the stock prices from the highest to lowest limits, the ADRs,

and the advance-decline depths) in a day, the user can obtain core

information (earning rate, profit and loss depth, and total profit and loss) on the profit and loss, and trends for each stock price, varied according to

respective values and mostly desired by the user, as well as the buyable

quantity for each stock price, other additional information (including

commission (rates) and break-even point (differences)). Therefore, by

accurately obtaining the stock price information and the profit and loss

information, the user can more effectively decide desired buy prices,

automatically calculate the quantity according to the buy price volume, and

visually check the trends of various profits and losses for respective price

ranges to be generated according to selection of the buy price without

calculation. Accordingly, the user can use the present embodiment as a

scientific and quick tool for deciding whether to buy the desired stocks, such

as restraining from buying stocks while their prices are rising, additional

increasing/decreasing the buy price or quantity, and establishing limits for

sale with a loss. That is, since the user can integrate various kinds of core

information needed for the buy order into a point, the user can use more

advanced stock investment environments. Also, the user completes the buy

order by only selecting a predetermined line.

The quantity list can be edited and displayed in many various ways

according to screen features or the user's requests. That is, a specific

column or a specific data region can be calculated or displayed according to

the user's requirements.

FIG. 18 shows an exemplified buy order screen 240 on which a buy

price list according to an amount of previously deposited money, and a buy quantity list per stock price with reference to a predetermined price (the buy

price) from among many buy prices are provided, and the buy order

according to selection of the buy price is automatically input through a simple

operation. That is, since all calculation and information needed for the buy

order is integrated and automatically displayed on the buy order screen 240,

the user can finish the desired order through clicking the mouse twice.

FIG. 19 shows a comparison of the conventional buy order method

to the improved buy order according to the present invention. The improved

points include the conveniences wherein the buy unit-cost and the quantity

are automatically and concurrently input when the investor just clicks the

mouse once, the accuracy improvements wherein the present invention

completely removes incorrect inputting and mistyping of the buy unit-cost

and the buy quantity, no necessity of checking correct input states after

inputting data, minimization of the hand and eye operation, and minimization

of operations and time caused by not using the keyboard.

The investor can complete the order by analyzing the stock price and

the quantity in the quantity list, and selecting the desired buy price through

one click of the mouse. Order correction and cancellation are also executed

through one click of the mouse.

As described above, the cyber trading service device and method

according to the embodiments of the present invention has the following

merits.

1 ) Step 1 of determining the buy price volume: The investor can

check the buy price list that includes the amount of subdivided previously deposited money (including the orderable price and the credit order price)

only through one click of the mouse, and by synthetically determining the

percent and the corresponding price and selecting a specific price, the

investor can fix it as the buy price.

2) Step 2 of analyzing the buy unit-cost: The investor can

automatically check stock price information (including stock prices, ADRs

and advance-decline depths) from the highest to lowest limits through a table

format. Also, by synthetically checking the stock prices, ADRs and advance-

decline depths, the investor experiences synergy effects and can more

accurately decide buy price regions.

3) Step 3 of calculating the buy quantity: By clicking the mouse once,

the investor can automatically know the buyable quantity for each stock price

according to the buy price.

4) Step 4 of the buy order: By clicking the mouse once on the

quantity list, the investor can automatically and concurrently input the buy

quantity and the buy unit-cost, and execute the order. Also, the investor can

easily execute cancellation or correction orders. The time required for the

buy order is reduced to 1 to 3 seconds compared to the conventional

required time of more than 10 seconds. Since incorrect data inputs of the

buy price and the buy quantity do not occur, undesirable loss is prevented.

The present invention prevents the investor from mistyping the buy price and

the buy quantity, and does not require the 10 keyboard inputs normally

needed for inputting the desired price and quantity. Conventionally, the

investor had to alternately look at the monitor and the keyboard more than four times, and the investor can now only view the monitor. It is no longer

required for the investor to finally check whether the buy quantity and the

corresponding unit cost are accurately input before transmitting the order, to

analyze buy-related information generated after the input of the order, and to

alternately use the keyboard and the mouse for inputting numbers.

5) Simulation of the profit and loss analysis: The investor can use

various profit and loss services for the respective stock prices using the buy

unit cost and the buy quantity before transmitting the buy order, and

accordingly, since the investor can check various profits and losses without

actually buying the stocks, the investor can determine the volume and trends

of the profit and loss and receive services for supporting buy and sell

decisions such as restraining from buying stocks while their prices are rising,

deciding to cancel the buy, additional increasing or reducing the buy price

and quantity, modifying the buy price, previously determining the sell price,

and determining the price of a sale with a loss. The conventional method

does not have the concept of profit and loss before the buy.

6) Catching of additional information: The investor can more

accurately decide the buy order through checking the commissions, the

commission rates, the break-even points, and the break-even differences. In

the case of daily trading, when the investor sells the stocks with the price of

over the buy price by one nominal price (one click or tick), the investor can

previously check whether he earns or loses for each stock price.

7) Synergy effects: Since the investor can check buy-related core

information such as the buy price list, the quantity list, and various kinds of profit and loss information in an integrated environment for the respective

price regions, he can obtain a more profitable investment environment.

8) Two-dimensional calculation: According to the present invention,

two-dimensional buy-related information with respect to all price regions can

be calculated once. Also, since the stock price and quantity analysis data are

displayed in the table format, the investor and check much integrated data at

a first attempt.

9) Application in the case of sell order: When the investor is holding

the stocks, the process for setting a portion of estimated stock prices to be a

sell price (a sell price list), calculating the sell quantity for each stock price

according to the sell price (a quantity list), and automatically performing the

sell order, is matched with that of the present buy quantity service, and

hence, the identical method can be applied to the case of selling the stocks.

10) (a) The investor saves mental energy spent determining the

stock prices, the buy prices, and the quantity analysis, (b) Since the time

required for calculating the stock prices, dividing the amount of previously

deposited money, analyzing the quantity, and performing the buy order is

saved, time expenses are reduced, (c) It is not necessary for the investor to

put memo sheets, a pencil, and an electronic calculator before the monitor.

(d) Since the investor can previously print out the quantity list and adhere it

to the monitor to perform the transactions, the investor can more effectively

analyze the stock prices and the quantity, (e) Since the daily trader can

immediately check the break-even points on the buy order screen and the

present price screen, he can catch more clear sell-reference timing and maximize his profits.

While this invention has been described in connection with what is

presently considered to be the most practical and preferred embodiment, it is

to be understood that the invention is not limited to the disclosed

embodiments, but, on the contrary, is intended to cover various modifications

and equivalent arrangements included within the spirit and scope of the

appended claims.

Claims

WHAT IS CLAIMED IS:

1. A cyber trading service device for providing cyber trading services

according to requests by a plurality of client PCs (personal computers),

comprising:

a main controller for calculating a buy price list when a buy price

calculation request is received from a corresponding client PC, and

calculating a quantity list and outputting calculation results data when a

calculation request signal on the quantity list is received; and

a quantity list calculator for dividing an amount of previously

deposited money by percent (%) to calculate the buy price list when the

amount of previously deposited money is received through the main

controller, and calculating the quantity list that is buy information for

respective stock prices from the corresponding issue's standard price and

buy price and outputting corresponding calculation results to the

corresponding client PC when the user's issue code and buy price are input.

2. The device of claim 1 , further comprising a communication

controller for transmitting data to the main controller when the data including

an account number, an issue code, and a buy price are input from the client

PC according to the user's selection, and outputting the buy price list or the

quantity list calculated according to control by the main controller to the

corresponding client PC through a communication network.

3. The device of claim 1 or 2, further comprising:

a client information database for storing user IDs, passwords, account information and personal information, and providing data stored for

determining registered user states when the client PC user logs in so as to

perform cyber trading;

an account information database for storing the user's previously

deposited money information; and

a stock price information database for storing stock price

information periodically input by an external stock information provider,

including a corresponding issue's standard price, present price, nominal

price, sell quantity for each nominal price, buy quantity, transaction quantity,

and the highest and lowest limit prices.

4. The device of claim 3, further comprising:

a management program input unit for receiving a management

program related to the cyber stock transactions used by a manager at the

main controller, and a calculation program for calculating the quantity list;

and

a quantity calculation program database for storing a quantity list

calculation program input from the management program input unit.

5. The device of claim 4, wherein the quantity calculation program

database comprises:

a buy price calculation program for using the account information's

previously deposited money amount to calculate the buy price's volume list;

and

a quantity calculation program for calculating stock prices to which the nominal prices of from the highest limit to the lowest limit of the

corresponding issue are applied, advance-decline ratios (ADR) and advance-

decline depth lists, buyable quantity for each stock price according to the buy

price, actual buy price, commission, commission rate, break-even point, and

break-even difference.

6. The device of claim 5, wherein the calculation process by the

buy price calculation program includes the steps of:

calculating a percent (%) list of from 100 to 1 %; and

multiplying the respective percent values of the percent list by the

previously deposited money amount input from the account information

database to calculate a buy price list.

7. The device of claim 5, wherein the calculation process by the

quantity calculation program includes the steps of:

calculating the highest and lowest limit prices with reference to the

corresponding issue's standard price, and applying the nominal prices of

from the highest to the lowest limit prices to calculate a stock list;

dividing the respective stock prices of the stock price list by the

standard price to calculate the ADRs for each stock price;

subtracting the standard price from the respective stock prices of

the stock price list to calculate the advance-decline depth for the respective

stock prices;

dividing the buy price by the respective stock prices to calculate

the buyable quantity for each stock price;

multiplying the stock price by the buy quantity to calculate the actual buy price for each stock price;

multiplying the actual buy price by the commission rate and adding

the default commission to the multiplied results to calculate the commission

for each stock price;

dividing the commission by the actual buy price to calculate the

commission rate for each stock price;

multiplying the stock price by the break-even point rate to calculate

the break-even point for each stock price; and

subtracting the stock price from the break-even point to calculate

the break-even difference.

8. A cyber trading service device for receiving stock information

from a securities corporation's server and providing a cyber trading service,

comprising:

a quantity calculation program storage unit for calculating a

quantity list using a corresponding issue's standard price and buy price;

a CPU (central processing unit) for controlling to load a

corresponding program in the quantity calculation program storage unit to an

inner main memory, execute it, and output calculation results of the quantity

list; and

a display for displaying the calculation results output by the CPU to

a user.

9. The device of claim 8, wherein the quantity calculation program

storage unit comprises: a buy price calculation program for using the amount of previously

deposited money of account information to calculate the buy price's volume

list;

a quantity calculation program for calculating stock prices to which

the nominal prices of from the highest limit to the lowest limit of the

corresponding issue are applied, advance-decline ratios (ADR) and advance-

decline depth lists, buyable quantity for each stock price according to the buy

price, actual buy price, commission, commission rate, break-even point, and

break-even difference; and

a profit and loss analysis program for setting the quantity in a buy

quantity input blank to be a buy quantity, the stock price in the buy unit cost

input blank to be a buy price, and the stock price in the stock price list to be a

sell price, to perform profit and loss analysis.

10. The device of claim 9, wherein the profit and loss analysis

program includes steps of:

dividing the stock price in the stock price list by the buy price to

calculate the earning rate;

subtracting the buy unit cost from the stock price in the stock price

list to calculate the profit and loss depth; and

multiplying the profit and loss depth by the quantity to cajculate the

total profit and loss for each stock price.

1 1. A cyber trading service method for providing a cyber trading

service according to requests by a plurality of client PCs, comprising:

transmitting stock price information to a corresponding client PC when a user selects a predetermined issue on a buy order screen through a

cyber trading system in the client PC;

receiving the user's account number from the client PC, inputting a

previously deposited money amount to a previously established calculation

program to calculate a buy price list, and outputting calculation results to the

corresponding client PC; and

receiving the user's issue code and buy price from the client PC,

and inputting the corresponding issue's standard price and buy price to the

previously established calculation program to calculate a quantity list, and

outputting calculation results to the corresponding client PC.

12. The method of claim 1 1 , wherein the quantity list includes

information on buyable quantities, actual buy prices, commissions,

commission rates, break-even points, and break-even differences for all

stock prices in the corresponding day.

13. A cyber trading service method for receiving stock information

from a securities corporation's server and providing the cyber trading service,

comprising:

(a) a CPU displaying stock price information on a buy order screen

when a user logs in to a cyber trading system in a client PC;

(b) the CPU receiving previously deposited money information

from the securities corporation's server when the user selects a buy price

calculation on the buy order screen, using a corresponding calculation

program to calculate a buy price list, and displaying the buy price list in a buy price list window;

(c) the CPU using a corresponding calculation program to

calculate the buy quantity corresponding to a stock price list and a stock

price, and displaying it in a quantity list window when the user selects a

predetermined price in the buy price list window;

(d) the CPU setting a selected stock price to be a buy price, the

corresponding quantity to be a buy quantity, and automatically and

concurrently inputting them in a buy order blank when the user selects a

predetermined stock price in the quantity list window; and

(e) the CPU using a corresponding calculation program to

calculate the profit and loss analysis for each stock price and displaying the

same in the quantity list window when the user selects a predetermined

stock price in the quantity list window.

14. The method of claim 13, wherein in (b), the calculation of the

buy price includes:

calculating a percent (%) list of from 1 to 100%; and

multiplying the previously deposited money amount by each

percent to calculate a buy price list for each percent.

15. The method of claim 14, wherein in (c), the calculation of the

quantity list comprises:

calculating the highest and lowest limit prices with reference to the

corresponding issue's standard price, and applying the nominal prices of

from the highest to the lowest limit prices to calculate a stock list;

dividing the respective stock prices of the stock price list by the standard price to calculate the ADRs;

subtracting the standard price from the respective stock prices of

the stock price list to calculate the advance-decline depth;

dividing the buy price by the respective stock prices to calculate

the buyable quantity;

multiplying the stock price by the buy quantity to calculate the

actual buy price;

multiplying the actual buy price by the commission rate and adding

the default commission to the multiplied results to calculate the commission;

dividing the commission by the actual buy price to calculate the

commission rate;

multiplying the stock price by the break-even point rate to calculate

the break-even point; and

subtracting the stock price from the break-even point to calculate

the break-even difference.

16. The method of claim 15, wherein in (e), the profit and loss

analysis process includes the steps of:

dividing the stock price in the stock price list by the buy price to

calculate the earning rate;

subtracting the buy unit cost from the stock price in the stock price

list to calculate the profit and loss depth;

multiplying the profit and loss depth by the quantity to calculate the

total profit and loss for each stock price; and

calculating the commissions, commission rates, net profits or losses, net profit or loss rates, total sell prices and total sell rates for the

respective stock prices.