WO2017217734A1 - Device for managing item trade data on basis of last-in first-out scheme, and method for managing item trade data by using same - Google Patents

Abstract

Disclosed are a device for managing item trade data on the basis of a last-in first-out scheme and a method for managing item trade data by using the same. A method for managing item trade data according to an embodiment of the present invention may comprise: when purchase of a specific item occurs, storing a purchase price and a purchase quantity; when sale of an item occurs at a specific sale price, calculating and storing a trading profit and a cumulative total of trading profits on the basis of a last-in first-out scheme; calculating an average purchase unit price of holding items on the basis of the last-in first-out scheme by using the cumulative total of trading profits; and calculating investment income corresponding to the average purchase unit price of the holding items. Therefore, the present invention can provide more accurate and various item-specific profit information.

Description

Stock trading data management device of last-in first-out method and stock trading data management method using the same

The present invention relates to a stock trading data management device of the last-in-first-out method and a stock trading data management method using the same, and more particularly, to a stock trading data management method using the same. It relates to a technology that can calculate the profit for each item based on the last-in-first-out method.

The present invention claims the benefit of the filing date of Korean Patent Application No. 10-2016-0073201 filed June 13, 2016, the entire contents of which are incorporated herein.

The online stock trading system, which trades stocks, futures or options online, has data on the average purchase price.

The average purchase price is the unit price divided by the quantity of purchases when only stocks, futures or options are purchased. If the stock is sold, the average purchase price of the shares remains unchanged. If the purchase is made after the sale, the average purchase price is (amount of sale after sale * average price after sale + purchase price * quantity of purchase) / holding quantity.

At this point, we use the average buy price to calculate gains and losses, valuation returns and valuation gains and losses. Selling gains and losses are calculated as (Sell-Average Purchase Value) * Sell Quantity, and Valuation Rate is calculated as 1-(Buy Average Price / Present Price), and Valuation Profit and Loss is calculated as (Present Price-Average Price). have.

This average price method can be used effectively in real-world transactions, especially when accounting is required.

However, in financial products such as stocks, futures and options, each trader frequently trades with each other due to a change in price. In the trading of commodities, the direction of the transaction does not change even when the price changes (producer-> distributor-> consumer), but there is always a constant direction in the trading of financial products such as stocks, futures, and options. However, there is a characteristic in that each other is a consumer. In such a transaction, the most recent purchase amount is much more important than the average purchase price. Therefore, those who buy and sell financial instruments such as stocks, futures, and options, the average price of buying and selling Instead, the recently purchased amount is often a judgment standard for sales.

In addition, by the definition of the average purchase price, the most influential price is the most recently purchased price. However, in the trading of financial instruments such as stocks, futures and options, in many cases, selling is likely to sell the most recently bought product for profit or to believe it is wrong.

Therefore, it is necessary to change the method of calculating the selling profit and loss, the valuation yield, and the valuation profit and loss calculated using the current buying average price, and based on the last-in, first-out method of this system, There is an urgent need for an entirely new stock trading system that can calculate valuation gains and losses.

Related prior arts include Korean Patent Publication No. 10-2014-0134060, published on November 21, 2014 (name: online stock trading journal writing method and system thereof).

An object of the present invention is to provide a profit or loss of stocks held by stocks or time according to the last-in-first-out method when trading stocks, futures or options.

It is also an object of the present invention to provide profit information of stocks more accurately by calculating profits and losses based on a last-in, first-out method.

In addition, it is an object of the present invention to provide information on the most recently purchased stock based on the selling point when the sale of a particular item occurs.

The item trading data management method performed by the item trading data management apparatus according to the present invention for achieving the above object, in the item trading data management method performed by the item trading data management apparatus, the number of purchases for a particular item Storing the number of sheets and the number of sheets if they occur; Calculating and storing the gains and gains on the sale if the sale of a specific sale for the particular item occurs by a last-in first-out method; Calculating the average purchase price of the stocks held by the last-in, first-out method using the accumulated trading profit; And calculating an investment profit corresponding to the average purchase price of the stocks.

At this time, the item trading data management method is to display the first element of the investment profit generated by the sale of the specific item and the second element of the investment profit corresponding to the price change of the remaining balance of the specific item It may further comprise a step.

In this case, the first element may be calculated using the cumulative trading profit.

In this case, the second element may be calculated by multiplying the remaining amount by subtracting the present price from the average purchase price of the holding item.

At this time, the sum of the first element and the second element may correspond to the investment profit.

At this time, the step of calculating and storing the trading profit and the cumulative trading profit is to store the relative selling price from the most recently purchased quantity to the selling quantity corresponding to the selling, and based on the selling profit and selling quantity Accumulated trading margin can be calculated.

At this time, the step of calculating and storing the selling profit and the cumulative selling and selling profits store two or more selling relative buys when the selling quantity of the specific selling is more than the most recently bought quantity, and each of the two or more selling selling buys. It is possible to calculate the trading margin and cumulative trading margin for.

In this case, the trading profit may be calculated by subtracting the buying fee, selling fee, and tax from a value obtained by subtracting the selling relative purchase amount from the specific selling product by the selling quantity.

In this case, the average purchase price of the stocks held by the last-in, first-out method may be calculated by dividing the input amount by adding up the accumulated sales gains by the remaining amount.

In addition, the item trading data management apparatus according to an embodiment of the present invention, the buy and buy quantity for a particular item, and stores the sale and cumulative gains cumulative that is calculated by the last-in-first-out method whenever the item sells for a particular sell occurs Memory; And a processor for calculating the average purchase price of the stocks of the last-in-first-out type and calculating the investment profit corresponding to the average purchase price of the stocks, using the cumulative profits from the last-in, first-out type.

At this time, the processor may display the first element of the investment profit generated by the sale of the particular item and the second element of the investment profit corresponding to the price change of the remaining amount of the particular item.

In this case, the first element may be calculated using the cumulative trading profit.

In this case, the second element may be calculated by multiplying the remaining amount by subtracting the present price from the average purchase price of the holding item.

At this time, the sum of the first element and the second element may correspond to the investment profit.

At this time, the memory may store the relative selling price from the most recently purchased quantity to the selling quantity corresponding to the selling, and calculate the selling and selling profit accumulation based on the selling relative quantity.

In this case, the memory may store two or more selling relative purchases when the selling quantity of the particular selling quantity is more than the most recently purchased quantity, and calculates the selling and selling profit accumulation for each of the two or more selling buying quantities. Can be.

In this case, the trading profit may be calculated by subtracting the buying fee, selling fee, and tax from a value obtained by subtracting the selling relative purchase amount from the specific selling product by the selling quantity.

In this case, the average purchase price of the stocks held by the last-in, first-out method may be calculated by dividing the input amount by adding up the accumulated sales gains by the remaining amount.

According to the present invention, when trading stocks, futures or options, etc., it is possible to provide the profit or loss of the stocks held by stocks or time according to the last-in-first-out method.

In addition, the present invention can provide the profit information of the stock more accurately by calculating the profit and loss based on the last-in, first-out method.

In addition, the present invention may provide information on the most recently purchased stock based on the selling point when the sale of a particular item occurs.

1 is a view showing a stock trading system of the last-in, first-out method according to an embodiment of the present invention.

FIG. 2 is a block diagram illustrating an example of an apparatus for managing trading data shown in FIG. 1.

3 is a flowchart illustrating a method of managing item transaction data in a last-in-first-out method according to an embodiment of the present invention.

4 is a view showing an example of the item trading data using the item trading data management method according to the present invention.

5 to 6 are diagrams showing another example of the item trading data using the item trading data management method according to the present invention.

7 to 8 are diagrams showing another example of the item trading data using the item trading data management method according to the present invention.

9 is a diagram illustrating an example of an interface screen of an apparatus for managing trading data according to the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. Here, the repeated description, well-known functions and configurations that may unnecessarily obscure the subject matter of the present invention, and detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more completely describe the present invention to those skilled in the art. Accordingly, the shape and size of elements in the drawings may be exaggerated for clarity.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a view showing a stock trading system of the last-in, first-out method according to an embodiment of the present invention.

Referring to Figure 1, the last-in first-out item trading system according to an embodiment of the present invention includes an item trading data management device 110 and the terminal (120-1 ~ 120-N).

The item transaction data management apparatus 110 may calculate the profit for each item of the stock based on a last-in, first-out method. In general, the online stock trading system calculates the profit by making a database of stock trading data based on the average purchase price.

In practice, however, selling stocks, futures, or options is to sell a recent purchase, not to sell a previous purchase. In other words, the actual trading of the last-in-first-out method is performed, but since the online trading system calculates the profit by the accounting method based on the average purchase price, it is difficult to provide accurate revenue information for the stock.

In order to solve this problem, the stock trading system according to the present invention provides profit information on stocks based on the last-in-first-out method, so that the holders of stocks can accurately grasp the stock situation and profit and loss information caused by trading. You can do that.

At this time, the item trading data management device 110 stores the number of purchases and the number of purchases for a particular item, and stores the sale and sale profits calculated by the last-in-first-out method whenever an item is sold for a particular sale.

In this case, the relative selling price may be stored as the selling quantity from the most recently purchased quantity, and the selling profit and the accumulating trading profit may be calculated based on the selling quantity.

At this time, when the selling quantity of a particular selling price is more than the most recently bought quantity, the two or more selling sellers may be stored, and the selling profit and the accumulating selling profit for each of the two or more selling sellers may be calculated.

In this case, the trading profit may be calculated by subtracting the buying fee, selling fee, and tax from the value of the selling price multiplied by the selling quantity by subtracting the selling quantity from the selling price.

In addition, the item transaction data management apparatus 110 calculates the average selling price of the holding item of the last-in-first-out method by using the cumulative profit of the last-in-first-out method.

At this time, the average purchase price of the stocks held by the last-in, first-out method may be calculated by dividing the input amount by adding up the accumulated trading gains by the remaining amount.

In addition, the item transaction data management device 110 calculates an investment profit corresponding to the average purchase price of the item.

At this time, the investment profit may be calculated by subtracting the input amount from the present value of the holdings multiplied by the remaining amount.

In addition, the item transaction data management device 110 displays the first element of the investment profit generated by the sale of a particular item and the second element of the investment profit corresponding to the price change of the remaining amount of the particular item.

In this case, the first element may be calculated by using the trading profit accumulation.

At this time, the second element may be calculated by multiplying the remaining amount of money by subtracting the present price from the average purchase price of the holding item.

At this time, the sum of the first element and the second element may correspond to the investment profit.

The terminals 120-1 to 120 -N may correspond to a means of checking stock trading data by a user who owns stocks.

In this case, the terminals 120-1 to 120 -N are a smart phone, a portable terminal, a mobile terminal, a personal digital assistant (PDA), and a portable multimedia (PMP). Player Terminal, Telematics Terminal, Navigation Terminal, Personal Computer, Notebook Computer, Slate PC, Tablet PC, Ultrabook, Wearable Device Device, such as Smartwatch, Smart Glass, Head Mounted Display (HMD), Wibro Terminal, Internet Protocol Television (IPTV) Terminal, Smart TV, Digital Broadcasting It can correspond to various terminals such as a terminal, a television, a 3D television, a home theater system, an audio video navigation (AVN) terminal, an audio / video system, a flexible terminal, and the like. have.

In this case, the terminals 120-1 to 120 -N may receive information on the item transaction from the item transaction data management apparatus 110 based on the network 130.

At this time, the network 130 is a concept encompassing both the existing network and the network that can be developed in the future. For example, the network is an IP network that provides a data transmission / reception service and an uninterrupted data service through an internet protocol (IP), and an IP network structure that integrates different networks based on IP. IP) network, and may include a wired network, a Wibro (Wireless Broadband) network, a third generation mobile communication network including WCDMA, a 3.5 generation mobile communication network including an HSDPA (High Speed Downlink Packet Access) network, and an LTE network, including LTE advanced. It can be made by combining one or more of the fourth generation mobile communication network, satellite communication network and Wi-Fi (Wi-Fi) network.

FIG. 2 is a block diagram illustrating an example of an apparatus for managing trading data shown in FIG. 1.

Referring to FIG. 2, the item transaction data management apparatus 110 illustrated in FIG. 1 includes a memory 210 and a processor 220.

The memory 210 stores a buy quantity and a buy quantity for a specific stock, and stores a trading profit and a cumulative selling profit which are calculated by a last-in-first-out method whenever a sell-off of a specific sell occurs.

In this case, the last-in, first-out method may correspond to a method of determining that the purchase amount remaining by the most recent purchase amount is sold when the sale of a specific sale for a specific item occurs.

Currently, valuations of stocks, futures and options are valued based on average purchases. Therefore, even if the stock sells, the stock is sold at the average buy price, and then the income from the trading and the holding price of the remaining stocks are evaluated accordingly.

However, actually selling stocks, futures, and options may mean selling a recently bought stock, not selling a previously bought stock. In this way, if the average selling price of holdings is assessed using the accounting method, it is impossible to accurately calculate the profit from selling.

In order to solve this problem, the present invention provides a stock trading data management apparatus of the last-in, first-out method that matches the actual selling method, and provides profit and loss information of various methods with more accurate stock trading information.

At this time, the memory 210 may generate a field for recording the purchase information according to each purchase, and store the purchase information in each field when the purchase of a specific item occurs. For example, assuming that a buy for item A has occurred, the buy and buy quantity may be stored in the buy and buy quantity fields for the buy in item A, respectively.

In this case, even if the purchase does not occur, if the user already has a stock or received a transfer, the field may be generated and stored in the same format as the purchase information in the same manner as when the purchase occurs.

In this case, the number of purchases and the number of purchases may refer to the unit price and quantity to buy in the item trading. Therefore, for stocks already held, the current unit price of the stock may be stored as a purchase amount, and the amount of stocks held may be stored as a purchase quantity.

At this time, the memory 210 calculates the buy and sell gains and cumulative gains by the last-in-first-out method whenever the item is sold, the purchase remaining amount, the selling amount, the selling price, the selling date and time, Information such as buy fees, sell fees, and taxes can be stored.

In this case, the trading profit may mean the amount of profit and loss arising from buying and selling, and the cumulative sum may correspond to the accumulation of trading gains.

At this time, the remaining amount of purchase may correspond to the remaining value by subtracting the purchase quantity of the selling occurred after the purchase from the quantity of purchase. Therefore, for each purchase, it is possible to subtract the selling quantity by the sale after the purchase from the remaining purchase amount until the purchase residual amount becomes zero.

If the purchase amount occurs again while the purchase amount of the corresponding purchase amount is not 0, the selling quantity by the subsequent selling may be excluded from the purchase amount of the most recently generated purchase amount. In other words, the quantity sold by selling is deducted until the purchase balance for the most recent purchase becomes zero, and when the quantity remaining by the most recent buying becomes zero, the quantity of selling remaining from the purchase remaining by the previous purchase is zero. Can be deducted.

At this time, the relative selling price may correspond to the selling price for one week of the item to be sold. In other words, it can be determined that each one of the stocks corresponding to the relative purchase amount is sold corresponding to the relative purchase price.

In addition, the buyer's selling date may correspond to the selling date and time in which the selling occurs corresponding to the buying quantity.

In this case, the buying fee, selling fee, and tax may correspond to an amount obtained by dividing an amount generated by buying or selling by a predetermined ratio. In this case, the amount generated by buying or selling may be deducted by the amount of won divided by a predetermined ratio, and the actual amount and difference may be added to the last quantity.

In addition, the memory 210 generates a field for storing the information according to each sale at each occurrence of the sale, in order to calculate and store the sale profit and the sale profit accumulation in a last-in-first-out manner, and sell quantity, sell, Information such as the number of selling relatives, the number of selling relatives, the date and time of the selling partner, and the selling partner commission can be stored.

In this case, the selling and selling quantity may mean a unit price and quantity sold in the stock trading.

In this case, the relative buying quantity may correspond to the selling quantity of the deducted sell until the purchase residual amount of the corresponding purchase becomes zero. For example, for stock A, the number of purchases made at 9:00 AM on May 1, 2016, is 100, and the quantity of sells at 1:00 PM and 3:00 PM, on the same day, is 50. . At this time, the relative buy quantity for the item A may be stored as 50 by two sales.

Therefore, after the purchase for a particular item occurs, if the selling quantity is greater than the buying quantity of the corresponding buying quantity, the buying quantity may correspond to the buying relative selling quantity. That is, since the purchase quantity has been exhausted by the selling occurring after the purchase, and the purchase balance is zero, all the buying quantity may correspond to the relative selling quantity.

In addition, after the purchase for a particular item, if the selling quantity is less than the buying quantity of the corresponding buy quantity, the selling quantity itself may correspond to the relative selling quantity. At this time, since the remaining purchase amount is not zero, the selling quantity by the next selling may be the buying relative selling amount.

Therefore, the purchase relative selling amount corresponding to one purchase may be stored in plural in some cases.

In addition, the selling date of the counterparty may correspond to the date and time that the purchase occurred corresponding to the relative buying quantity.

In this case, the relative selling price may correspond to the purchase price for one week of the stock to be bought. In other words, it can be determined that each one of the stocks corresponding to the relative selling quantity is purchased corresponding to the selling relative purchase.

In this case, the relative selling price may be stored as the selling quantity from the most recently purchased quantity, and the selling profit and the accumulating trading profit may be calculated based on the selling quantity.

Accordingly, the relative selling quantity may also correspond to a value equal to or less than the selling quantity of the selling quantity of the buying quantity by the most recent purchase when the selling occurs. That is, when the quantity of purchases by the most recent purchase is more than the quantity of sells by the sell at the time of the sale, the value of the quantity of sell may correspond to the relative quantity of sell.

At this time, when the selling quantity of a particular selling price is more than the most recently bought quantity, the two or more selling sellers may be stored, and the selling profit and the accumulating selling profit for each of the two or more selling sellers may be calculated.

In other words, if the quantity of purchases made by the most recent purchase is less than the quantity sold by the sell, when the sale occurs, it is equal to the quantity of purchases made by the most recent purchase and is less than or equal to the quantity sold remaining among the remaining purchases of the previous purchase. It can correspond to a value.

For example, it may be assumed that the selling quantity due to the selling occurrence is 30, the buying quantity by the most recent first purchase is 20, and the residual quantity of buying by the second purchase before the first buying is 20. In this case, the relative selling quantity may correspond to 10, such as the quantity of purchase 10 remaining in the quantity of purchase 20 by the first purchase and the quantity of purchase 20 remaining by the second purchase.

That is, when the quantity of the purchase by the most recent purchase is less than the quantity of the sale by the selling, there may be at least two relative selling quantities. Therefore, there may be more than one selling relative purchase in the same manner as the selling relative buying quantity.

In this case, the trading profit may be calculated by subtracting the buying fee, selling fee, and tax from the value of the selling price multiplied by the selling quantity by subtracting the selling quantity from the selling price.

That is, the trading profit can be calculated as follows.

Profit or Loss = ((Sell-Sell relative) * Sell Quantity)-Purchase Fee-Sell Fee & Tax

Therefore, when there is more than one selling partner, the selling profit for each selling partner can be calculated and added to the accumulated selling profit.

In this case, according to the existing accounting processing method, it is possible to calculate by subtracting the buying fee, selling fee and tax from the value of the selling price multiplied by the selling quantity by subtracting the buying average price from the specific selling. That is, it may be determined that the selling quantity by selling is deducted from the buying quantity by all buyings generated for a specific item, not the last-in-first-out method of deducting selling quantity by selling from the latest buying quantity.

Therefore, the value may be calculated differently when calculating the gains and losses of the accounting method and the last-in, first-out method according to the present invention.

In this case, if the stock previously held or the stock is transferred from another account, the value of the stock at the time of transfer and the quantity transferred may correspond to the purchase amount. In addition, in the case of a transfer, a value obtained by multiplying the current price of the item at the time of the transfer and the quantity to be transferred may correspond to the selling amount.

The processor 220 calculates the average purchase price of the stocks of the last-in, first-out method by using the accumulated sales profits of the last-in, first-out method, and calculates the investment profit corresponding to the average purchase price of the stocks.

At this time, the average purchase price of the holdings may correspond to the average purchase of the remaining stocks in the stock.

At this time, the average selling price of the stocks may correspond to the sum of the input amount and the accumulated gains and losses on the stocks divided by the remaining stock.

In this case, the first element of the investment profit generated by the sale of a certain item and the second element of the investment profit corresponding to the price change of the remaining amount of the particular item may be displayed separately. In other words, investment profit may correspond to a concept that includes both gains and losses on sale of a specific item and gains and losses on shares held.

In this way, by separately providing the first element and the second element of the investment profit, it is possible to simultaneously provide the information on the profit actually obtained by selling the stock and the profit information due to the change in the value of the holding stock.

In this case, the first element may be calculated by using the sale profit accumulation total. In other words, the accumulated gain or loss on each sale may correspond to the first element of the investment profit for a particular item.

At this time, the second element may be calculated by multiplying the remaining amount of money by subtracting the present price from the average purchase price of the holding item. In this case, the average purchase price of holdings is calculated by considering the sum of the input amount and the accumulated gains and losses divided by the remaining amount, that is, the cumulative gains and losses are also considered when the value of one stock is evaluated. The second element may not include the gain generated by the sell. In other words, it can mean only the profit generated by the price fluctuations of stocks corresponding to the holding balance.

Thus, the sum of the first element and the second element may correspond to the return on investment.

In this case, the investment profit may also be calculated by subtracting the input amount from the amount multiplied by the remaining amount and the present value. When the investment profit is calculated in such a manner, the investment accounting method or the last-in-first-out method of the present invention may be used. Regardless, the investment returns can be calculated accurately.

However, when the first element and the second element are calculated and summed using the existing accounting method, the correct investment profit is not calculated. This may be due to the inaccurate investment profit corresponding to the trading profits and price fluctuations of the remaining balance.

In the traditional accounting method, the gain or loss is calculated by multiplying the selling quantity by the present price minus the buying average price. In this case, the average purchase price is a value obtained by dividing the purchase price by the quantity purchased, considering only the case of buying stocks, futures or options, etc., and does not consider when the stock was bought.

In addition, the existing accounting method calculates the investment profit corresponding to the price fluctuation of the remaining balance by multiplying the remaining quantity by subtracting the purchase average price from the present price. That is, since the value is calculated using the purchase average price calculated by considering only the purchase without buying or selling, it is difficult to calculate the accurate investment profit, including the trading profit already calculated in the first element.

However, after calculating the selling profit of the first element by calculating the selling profit by the last-in first-out method according to the present invention, the price of the remaining amount of the second element by the average purchase price of the holding item calculated by using the selling gain accumulation By calculating the return on investment corresponding to the variation, the sum of the first and second elements may correspond to the correct return on investment.

In this case, the input amount may correspond to the accumulated amount of the purchase amount, purchase fee, sell amount, sell fee and tax. Accordingly, the investment profit may correspond to the sum of the profits from the gains and losses on sale and the profits remaining on the remaining stocks.

At this time, the remaining amount represents the number of shares currently held, and may correspond to the value obtained by subtracting the selling quantity from the buying quantity. If there is a stock previously held, the remaining stock can be calculated by adding the previously held stock to the purchase minus the sold quantity.

In this way, by providing the first element and the second element for the investment profit, it is possible to provide the profit and loss information for a specific item in more various ways.

At this time, the holding unit price and the average purchase unit price of the holding stock can be managed by matching each other. Based on the matched information, the holding unit price and the average purchase unit price of the holdings can be compared, and the profit or loss on the item can be easily determined according to the comparison amount.

At this time, the holding unit price may correspond to the input amount divided by the holding amount of the stock currently held.

By using the stock trading data management device 110 as described above, when trading stocks, futures, or options, etc., the profits of the stocks held by stocks or time according to the last-in-first-out method may be provided.

In addition, it may be possible to more accurately provide profit information of the stock by calculating the profit and loss based on the last-in, first-out method.

3 is a flowchart illustrating a method of managing item transaction data in a last-in-first-out method according to an embodiment of the present invention.

Referring to FIG. 3, the method of managing item transaction data in a last-in, first-out method according to an embodiment of the present invention stores the number of purchases and the number of purchases when a purchase of a specific item occurs.

At this time, whenever a purchase for a particular item occurs, a field for recording the purchase information according to each purchase may be generated, and the number corresponding to the purchase information or the purchase quantity may be stored in the generated field. For example, assuming that a buy for item A has occurred, the buy and buy quantity may be stored in the buy and buy quantity fields for the buy in item A, respectively.

At this time, even if the purchase does not occur, even if the stock already held or transferred stock can be created in the same manner as when the purchase occurs to store the purchase information in the same way.

In this case, the number of purchases and the number of purchases may refer to the unit price and quantity to buy in the item trading. Therefore, for stocks already held, the current unit price of the stock may be stored as a purchase amount, and the amount of stocks held may be stored as a purchase quantity.

In addition, the last-in, last-out item trading data management method according to an embodiment of the present invention calculates and stores the profit and accumulation of trading profits in the last-in, first-out method when a sale of a specific sale for a specific item occurs (S320).

In this case, in order to calculate the net gains and gains on the purchase of each item by the method of last-in-first-out, the remaining amount of purchase, the amount of selling relative, the amount of selling relative, the date and time of the selling partner, the selling fee, and the selling fee. And information such as taxes.

In this case, the trading profit may mean the amount of profit and loss arising from buying and selling, and the cumulative sum may correspond to the accumulation of trading gains.

At this time, the remaining amount of purchase may correspond to the remaining value by subtracting the purchase quantity of the selling occurred after the purchase from the quantity of purchase. Therefore, for each purchase, it is possible to subtract the selling quantity by the sale after the purchase from the remaining purchase amount until the purchase residual amount becomes zero.

If a purchase occurs again while the purchase balance of the corresponding purchase is not zero, then the quantity sold by the subsequent sale may be subtracted from the purchase balance of the most recent purchase. In other words, the quantity sold by selling is deducted until the purchase balance for the most recent purchase becomes zero, and when the quantity remaining by the most recent buying becomes zero, the quantity of selling remaining from the purchase remaining by the previous purchase is zero. Can be deducted.

At this time, the relative selling price may correspond to the selling price for one week of the item to be sold. In other words, it can be determined that each one of the stocks corresponding to the relative purchase amount is sold corresponding to the relative purchase price.

In addition, the buyer's selling date may correspond to the selling date and time in which the selling occurs corresponding to the buying quantity.

In this case, the buying fee, selling fee, and tax may correspond to an amount obtained by dividing an amount generated by buying or selling by a predetermined ratio. In this case, the amount generated by buying or selling may be deducted by the amount of won divided by a predetermined ratio, and the actual amount and difference may be added to the last quantity.

In addition, in order to calculate and store the gains and losses on the sale by the last-in-first-out method, such as the quantity sold, the quantity sold, the quantity sold, the relative quantity sold, the selling date and time of the selling partner, the selling partner's commission, etc. Information can be stored.

In this case, the selling and selling quantity may mean a unit price and quantity sold in the stock trading.

In this case, the relative buying quantity may correspond to the selling quantity of the deducted sell until the purchase residual amount of the corresponding purchase becomes zero. For example, for stock A, the number of purchases made at 9:00 AM on May 1, 2016, is 100, and the quantity of sells at 1:00 PM and 3:00 PM, on the same day, is 50. . At this time, the relative buy quantity for the item A may be stored as 50 by two sales.

Therefore, after the purchase for a particular item occurs, if the selling quantity is greater than the buying quantity of the corresponding buying quantity, the buying quantity may correspond to the buying relative selling quantity. That is, since the purchase quantity has been exhausted by the selling occurring after the purchase, and the purchase balance is zero, all the buying quantity may correspond to the relative selling quantity.

In addition, after the purchase for a particular item, if the selling quantity is less than the buying quantity of the corresponding buy quantity, the selling quantity itself may correspond to the relative selling quantity. At this time, since the remaining purchase amount is not zero, the selling quantity by the next selling may be the buying relative selling amount.

Therefore, the purchase relative selling amount corresponding to one purchase may be stored in plural in some cases.

In addition, the selling date of the counterparty may correspond to the date and time that the purchase occurred corresponding to the relative buying quantity.

In this case, the relative selling price may correspond to the purchase price for one week of the stock to be bought. In other words, it can be determined that each one of the stocks corresponding to the relative selling quantity is purchased corresponding to the selling relative purchase.

In this case, the relative selling price may be stored as the selling quantity corresponding to the selling from the most recently purchased quantity, and the selling profit and the accumulation of the selling profit may be calculated based on the selling quantity.

Accordingly, the relative selling quantity may also correspond to a value equal to or less than the selling quantity of the selling quantity of the buying quantity by the most recent purchase when the selling occurs. That is, when the quantity of purchases by the most recent purchase is more than the quantity of sells by the sell at the time of the sale, the value of the quantity of sell may correspond to the relative quantity of sell.

At this time, when the selling quantity of a particular selling price is more than the most recently bought quantity, the two or more selling sellers may be stored, and the selling profit and the accumulating selling profit for each of the two or more selling sellers may be calculated.

In other words, if the quantity of purchases made by the most recent purchase is less than the quantity sold by the sell, when the sale occurs, it is equal to the quantity of purchases made by the most recent purchase and is less than or equal to the quantity sold remaining among the remaining purchases of the previous purchase. It can correspond to a value.

For example, it may be assumed that the selling quantity due to the selling occurrence is 30, the buying quantity by the most recent first purchase is 20, and the residual quantity of buying by the second purchase before the first buying is 20. In this case, the relative selling quantity may correspond to 10, such as the quantity of purchase 10 remaining in the quantity of purchase 20 by the first purchase and the quantity of purchase 20 remaining by the second purchase.

That is, when the quantity of the purchase by the most recent purchase is less than the quantity of the sale by the selling, there may be at least two relative selling quantities. Therefore, there may be more than one selling relative purchase in the same manner as the selling relative buying quantity.

In this case, the trading profit may be calculated by subtracting the buying fee, selling fee, and tax from the value of the selling price multiplied by the selling quantity by subtracting the selling quantity from the selling price.

That is, the trading profit can be calculated as follows.

Profit or Loss = ((Sell = Sell relative) * Sell Quantity)-Purchase Fee-Sell Fee & Tax

Therefore, when there is more than one selling partner, the selling profit for each selling partner can be calculated and added to the accumulated selling profit.

In this case, according to the existing accounting processing method, it is possible to calculate by subtracting the buying fee, selling fee and tax from the value of the selling price multiplied by the selling quantity by subtracting the buying average price from the specific selling. That is, it may be determined that the selling quantity by selling is deducted from the buying quantity by all buyings generated for a specific item, not the last-in-first-out method of deducting selling quantity by selling from the latest buying quantity.

Therefore, the value may be calculated differently when calculating the gains and losses of the accounting method and the last-in, first-out method according to the present invention.

In this case, if the stock previously held or the stock is transferred from another account, the value of the stock at the time of transfer and the quantity transferred may correspond to the purchase amount. In addition, in the case of a transfer, a value obtained by multiplying the current price of the item at the time of the transfer and the quantity to be transferred may correspond to the selling amount.

In addition, the method of managing item transaction data of the last-in first-out method according to an embodiment of the present invention calculates the average selling price of holding items of the last-in-first-out method by using the accumulated trading profits (S330).

At this time, the average purchase price of the holdings may correspond to the average purchase of the remaining stocks in the stock.

At this time, the average selling price of the stocks may correspond to the sum of the input amount and the accumulated gains and losses on the stocks divided by the remaining stock.

In addition, the method of managing the item transaction data of the last-in, first-out method according to an embodiment of the present invention calculates the investment profit corresponding to the average purchase price of the holding item (S340).

In this case, the first element of the investment profit generated by the sale of a certain item and the second element of the investment profit corresponding to the price change of the remaining amount of the particular item may be displayed separately. In other words, investment profit may correspond to a concept that includes both gains and losses on sale of a specific item and gains and losses on shares held.

In this way, by separately providing the first element and the second element of the investment profit, it is possible to simultaneously provide the information on the profit actually obtained by selling the stock and the profit information due to the change in the value of the holding stock.

In this case, the first element may be calculated by using the sale profit accumulation total. In other words, the accumulated gain or loss on each sale may correspond to the first element of the investment profit for a particular item.

At this time, the second element may be calculated by multiplying the remaining amount of money by subtracting the present price from the average purchase price of the holding item. In this case, the average purchase price of holdings is calculated by considering the sum of the input amount and the accumulated gains and losses divided by the remaining amount, that is, the cumulative gains and losses are also considered when the value of one stock is evaluated. The second element may not include the gain generated by the sell. In other words, it can mean only the profit generated by the price fluctuations of stocks corresponding to the holding balance.

Thus, the sum of the first element and the second element may correspond to the return on investment.

In this case, the investment profit may also be calculated by subtracting the input amount from the amount multiplied by the remaining amount and the present value. When the investment profit is calculated in such a manner, the investment accounting method or the last-in-first-out method of the present invention may be used. Regardless, the investment returns can be calculated accurately.

However, when the first element and the second element are calculated and summed using the existing accounting method, the correct investment profit is not calculated. This may be due to the inaccurate investment profit corresponding to the trading profits and price fluctuations of the remaining balance.

In the traditional accounting method, the gain or loss is calculated by multiplying the selling quantity by the present price minus the buying average price. In this case, the average purchase price is a value obtained by dividing the purchase price by the quantity purchased, considering only the case of buying stocks, futures or options, etc., and does not consider when the stock was bought.

In addition, the existing accounting method calculates the investment profit corresponding to the price fluctuation of the remaining balance by multiplying the remaining quantity by subtracting the purchase average price from the present price. That is, since the value is calculated using the purchase average price calculated by considering only the purchase without buying or selling, it is difficult to calculate the accurate investment profit, including the trading profit already calculated in the first element.

However, after calculating the selling profit of the first element by calculating the selling profit by the last-in first-out method according to the present invention, the price of the remaining amount of the second element by the average purchase price of the holding item calculated by using the selling gain accumulation By calculating the return on investment corresponding to the variation, the sum of the first and second elements may correspond to the correct return on investment.

In this case, the input amount may correspond to the accumulated amount of the purchase amount, purchase fee, sell amount, sell fee and tax. Accordingly, the investment profit may correspond to the sum of the profits from the gains and losses on sale and the profits remaining on the remaining stocks.

At this time, the remaining amount represents the number of shares currently held, and may correspond to the value obtained by subtracting the selling quantity from the buying quantity. If there is a stock previously held, the remaining stock can be calculated by adding the previously held stock to the purchase minus the sold quantity.

In this way, by providing the first element and the second element for the investment profit, it is possible to provide the profit and loss information for a specific item in more various ways.

At this time, the holding unit price and the average purchase unit price of the holding stock can be managed by matching each other. Based on the matched information, the holding unit price and the average purchase unit price of the holdings can be compared, and the profit or loss on the item can be easily determined according to the comparison amount.

At this time, the holding unit price may correspond to the input amount divided by the holding amount of the stock currently held.

Through such a stock trading data management method, it is possible to provide profits and losses of stocks held by stocks or futures according to the last-in-first-out method when trading stocks, futures or options.

In addition, it may be possible to more accurately provide profit information of the stock by calculating the profit and loss based on the last-in, first-out method.

4 is a view showing an example of the item trading data using the item trading data management method according to the present invention.

Referring to FIG. 4, the item transaction data using the item transaction data management method according to the present invention may store corresponding values in fields corresponding to the number of purchases and the number of purchases each time a purchase of a specific item occurs.

In this case, the item transaction data management method according to the present invention may input data based on a last-in, first-out method when a sell occurs.

In this case, the last-in, first-out method may correspond to a method of deducting the selling quantity from the most recently purchased quantity when the selling occurs.

For example, when confirming the trading concluded on November 19, 2015 in the stock trading data shown in FIG. 4, it can be confirmed that the selling occurred corresponding to the selling price of 9,005 won and the selling quantity of 23 for the corresponding stock. . At this time, the selling quantity 23 may be deducted from the buying quantity of 157 bought on November 16, 2015, which is the most recent from November 19, 2015 when the selling occurred.

For example, when confirming the trading concluded on January 19, 2016 in the stock trading data shown in FIG. 4, it can be seen that the selling occurred corresponding to the selling price of KRW 8,160 and the selling quantity of 23 for the corresponding stock. have. At this time, the selling quantity of 23 may be deducted from the buying quantity of 24 bought on January 18, 2016, which is the most recent from January 19, 2016, when the selling occurred.

As described above, since the selling quantity is deducted from the quantity of purchase most recently bought from the selling point of time at every occurrence of the selling, the relative selling quantity may be stored at each occurrence of the selling in order to calculate the trading profit.

For example, in the stock trading data shown in FIG. 4, the selling on November 19, 2015, the most recent purchase on November 16, 2015, can be saved as 8,740 won (A) as the relative selling price. have. In addition, a subsequent sale of November 26, 2015 may also store a purchase of 8,740 (A) as a buy relative of November 16, 2015. At this time, since the buy quantity of the purchase occurred on November 16, 2015 is the quantity that can cover all the selling volume for the two sells that have occurred since the purchase, the two sells may store one sell relative buy quantity. have.

However, if the selling relative buy number of the selling occurred on February 25, 2016 in the item trading data shown in FIG. 4, check the field 420, it can be confirmed that a total of five selling sells are stored.

This is because the purchase quantity of the purchase made on February 11, 2016, which is the most recent from the sale occurred on February 25, 2016, is mostly deducted by the sale that occurred on February 16, 2016. In other words, the number of sells sold on February 25, 2016 is 23, and since the most recent purchase on February 11, 2016, was one, the number of sells occurred on February 25, 2016. It can be seen that the selling volume is deducted from the purchase balance of the previously generated purchases.

Therefore, the sell occurred on February 25, 2016 shown in Figure 4, the number of purchases occurred on February 11, 2016 is 7,915 won (I), the number of purchases occurred on January 26, 2016 is 7,915 won (H), the purchase of purchases occurring on January 20, 2016 was ₩ 7,915 (G), the purchase of purchases occurring on January 18, 2016 was ₩ 7,905 (F) and the purchases occurred on January 7, 2016. You can save all 8,325 won (F) as a long-term relative buy.

5 to 6 are diagrams showing another example of the item trading data using the item trading data management method according to the present invention.

5 to 6, the item transaction data of the present invention may store a relative buy price in a corresponding field of purchases whenever a sale occurs.

For example, in the stock trading data shown in FIG. 6, sell 610 occurred on February 16, 2016, sell 620 occurred on February 25, 2016, and sell 630 occurred on March 10, 2016. ), It can be seen that the total number of sells exceeding the number of buys occurred on February 11, 2016, which is the most recent from the three sells (610, 620, 630). In this case, the purchase may be performed by confirming the purchase amount of the purchase occurred on February 11, 2016 and the purchase amount remaining on the at least one purchase before that.

In other words, 23 selling quantities (A) of the selling 610 occurred on February 16, 2016 are all deducted by 24 buying quantity of the latest buying occurred on February 11, 2016, so that February 11, 2016 The number of sheets remaining on the sheet may be stored as one.

At this time, the buy relative sell amount field on February 11, 2016 includes 23 buy relative sell amounts (A) corresponding to 23 sell quantities (A) of sell 610 occurred on February 16, 2016. Can be stored. In addition, the selling relative sell price of the purchase occurring on February 11, 2016 may include a selling price of 8,155 won for the sale 610 occurring on February 16, 2016 as the purchase relative sell.

Subsequently, 23 (B) short-selling quantities of Sell 620 occurring on February 25, 2016 are the one remaining purchases on February 11, 2016, which occurred on January 26, 2016. One purchase balance of purchases, one purchase balance of purchases occurring on January 20, 2016, one purchase balance of purchases occurring on January 18, 2016, and purchase balance of purchases occurring on January 7, 2016. By deducting all the shares, the number of purchases remaining on January 7, 2016 can be stored as four and the remaining purchases can be stored as zero.

At this time, the buy relative sell amount field on February 11, 2016 includes one buy relative sell amount corresponding to one of 23 sell quantities (B) of sell 620 occurred on February 25, 2016 ( B) can be stored. In addition, the selling price of the selling 620 generated on February 25, 2016 may be 8,575 won in the buying relative selling price field.

At this time, the buy relative sell amount field on January 26, 2016 includes one buy relative sell amount corresponding to one of 23 sell quantities (B) of sell 620 occurred on February 25, 2016 ( B) can be stored. In addition, in the field Relative Selling of Buying occurring on January 26, 2016, the selling price of Sell 620 occurring on February 25, 2016 may be 8,575 won.

In this case, the buy relative sell amount field on January 20, 2016 includes one buy relative sell amount corresponding to one of 23 sell quantities (B) of sell 620 occurred on February 25, 2016 ( B) can be stored. In addition, the selling price of the purchase 620 generated on February 25, 2016 may be 8,575 won in the purchase relative selling price of the purchase occurred on January 20, 2016.

At this time, the buy relative sell amount field on January 18, 2016 includes one buy relative sell amount corresponding to one of 23 sell quantities (B) of sell 620 occurred on February 25, 2016 ( B) can be stored. In addition, in the field Relative Selling of Buying occurring on January 18, 2016, the selling price of Sell 620 occurring on February 25, 2016 may be 8,575 won.

At this time, the buy relative sell amount field on January 7, 2016 includes 19 buy relative sell amounts corresponding to 19 of 23 sell quantities (B) of sell 620 occurred on February 25, 2016 ( B) can be stored. In addition, in the field of selling relative to the number of purchases occurring on January 7, 2016, the selling price of the selling 620 generated on February 25, 2016 may be 8,575 won.

Subsequently, the selling quantity of the selling 630 occurring on March 10, 2016 is 23, and the buying quantity of the buying of the buying occurred on January 7, 2016, which is the most recent purchase, when the buying quantity is not zero and 2016 1 By deducting all 24 purchases on the 4th of March, the number of purchases on January 4, 2016 is 5, and the purchase on the 7th of January 2016 is 0.

At this time, the buy relative sell amount field on January 7, 2016 includes four relative sell amounts corresponding to four of 23 sell quantities (C) of sell (630) occurred on March 10, 2016. C) can be stored. In addition, in the relative purchase price of the purchase occurring on January 7, 2016, the selling price of the sale 630 generated on March 10, 2016 may be 9,005 won as the relative purchase.

At this time, the buy relative sell amount field on January 4, 2016 includes 19 buy relative sell amounts corresponding to 19 of 23 sell quantities (C) of sell 630 occurred on March 10, 2016 ( C) can be stored. In addition, in the relative purchase price of the purchase occurred on January 4, 2016, the selling price of the sell 630 generated on March 10, 2016 may be 9,005 won as the relative purchase price.

7 to 8 are diagrams showing an example of a result of calculating the item trading data shown in Figs. 5 to 6 by the item trading data management method according to the present invention.

7 to 8, based on the item transaction data shown in FIGS. 5 to 6, the trading profit field 710, the cumulative trading profit field 720, the holding unit price field 730, and the average stock selling means It may be confirmed that values corresponding to the field 740 and the valuation gained field 750 of the item are calculated, respectively.

At this time, the trading profit to be input to the trading profit field 710 can be calculated as follows.

Profit or Loss = ((Sell-Sell relative) * Sell Quantity)-Purchase Fee-Sell Fee & Tax

In other words, by calculating the trading gains by subtracting the relative selling price, which is the purchase price of the most recent purchase, from the current price, the trading profits can be accurately calculated by the last-in, first-out method suitable for trading financial products such as stocks, futures and options. Can be.

For example, the gain or loss on sale on November 19, 2015, shown in FIG. 5, is (9,005)-8,740) * 23-{((9,005 * 0.005) + (8,740 * 0.002)) * 23} Can be calculated accordingly. In other words, the selling price corresponding to the current price is 9,005 won, which is the purchase by the most recent purchase minus 8,740 won, multiplied by 23 selling quantities, resulting in 0.56% of the buying fee of 9,005 won and selling at 6,095 won. 4,658 won minus 1,437 won, which is the sum of 0.2% of the commission of 8,740 and multiplied by the quantity sold, may correspond to the gain or loss on sale that occurred on 19 November 2015.

In this case, assuming that the gains and losses are calculated according to the existing accounting method, the selling price is calculated by subtracting the selling price of KRW 9,005 from the existing system holding unit price of KRW 8,757 on November 19, 2015 shown in FIGS. 7 and 8. As a result of multiplying the quantity by 23, the sale occurred on November 19, 2015, subtracting 0.5% of the purchase fee of 9,005 and 0.2% of the selling fee of 8,757 and subtracting KRW 1,438, which is the product of the selling quantity. It can be calculated by trading profit by. That is, it can be seen that a difference occurs in the trading profit and amount by the last-in, first-out method according to the present invention.

At this time, the cumulative trading profit is a value calculated by accumulating trading profits calculated at each sale occurrence, and the sum of the trading profits stored in the trading profit field 710 may be located at the bottom of the trading profit accumulation field 720. Can be.

In this case, the first element of the investment profit according to the present invention may correspond to a value input in the trading profit accumulation field 720.

In this case, the second element of the investment profit according to the present invention may correspond to a value input in the valuation profit field 750 shown in FIGS. 7 and 8.

At this time, the stock valuation gain, that is, the investment profit from the price change of the stock quantity, may be calculated by multiplying the stock quantity by a value obtained by subtracting the amount of the field 740 from the current stock price average price.

For example, since the current price of shares on December 17, 2015, except for the average purchase price of stocks of KRW 8,040, is retained by one share of the remaining balance, it is retained by one share of revenue. The remaining value of W28,577, multiplied by 135, may correspond to the valuation gains of the holdings. In this case, the calculation based on the amount shown in FIG. 7 indicates that the present value of KRW 9,040, excluding the average purchase price of shares held at 8828.32 won, is 211.68 won, which is equivalent to the earnings by one share. The rounded value of KRW28,576.8, the rounded value of KRW28,577, may correspond to the valuation gains of the holdings.

As described above, according to the present invention, the method for managing the trading data of stocks is provided by displaying the accumulated trading gains, which are the first elements of the investment profit, and the holding stocks, which are the second elements of the investment profit, as shown in FIGS. 7 and 8. By doing so, the user holding the stock can check the profit and loss information for each situation at a glance.

In this case, the investment profit may be calculated by subtracting the input amount from the sum of the sum of the first element and the second element and multiplying the remaining amount by the present value.

For example, referring to the data of December 17, 2015 illustrated in FIG. 7, the cumulative trading profit may correspond to 24,501 won, and the valuation of stocks may correspond to 28,577 won. Therefore, the specific items shown in FIG. 7 and FIG. 8 may correspond to 53,078 won in which the profit of the investment up to December 17, 2015, is 24,501 won and 28,577 won.

At this time, the remaining amount 135 on December 17, 2015 and the present value of KRW 9,040 was subtracted from the input amount of KRW 1,167,322, which is 53,078 won, the same value as the investment profit calculated by adding the first and second elements. It can be confirmed that this is calculated.

As such, by using the last-in first-out item transaction data management method according to the present invention, accurate investment profit information for a specific item can be provided.

At this time, the average stock price of the stocks inputted into the field average selling price of the stock items may correspond to a value obtained by dividing the sum of the input amount and the accumulated profit from the sale by the remaining amount. In other words, by adding the accumulated trading gains to the input amount, it is possible to prevent the gains from trading gains from being included in the valuation gains of the holdings.

* For example, the average selling price of shares held immediately after the sale on January 19 is 1,601,779, which is the sum of the inputs amounting to 1,572,715 until January 19, 2016 and the cumulative gains and losses on sale. It may correspond to 8753 member.

That is, the unit price of the stock item average selling means in the field 740 may correspond to the selling price for one week of the stock item calculated without considering the value input in the accumulated trading profit field 720.

In this case, the existing system holding unit cost field 731 shown in FIGS. 7 to 8 may correspond to the purchase average value calculated corresponding to the accounting processing reference method, not the last-in, first-out method according to the present invention. That is, considering only the case of buying stocks, futures or options, the purchase price may be divided by the quantity to correspond to the unit price of the stocks evaluated.

If the existing accounting standard method is used, the investment profit can be calculated as follows.

For example, the gain or loss on sale on November 19, 2015, is the purchase fee of 9,005 at the price of KRW 5,704, which is the product of selling price minus 9,005 minus the existing system holding price of KRW 8,757. It is equivalent to 4,266 won minus 1,438 won, which is the product of 0.5% of won and 0.2% of selling fee of 8,757 won.

In addition, the valuation gains on November 19, 2015, may be equivalent to W33,232, the current price of W9,005 minus the existing system holding price of W8,757, multiplied by the remaining balance of 134. In this case, when the valuation gains of the holdings are calculated using the existing accounting method, even if a sale occurs, the purchase average price calculated by the purchase can be used as it is. That is, since only the purchase price at the time of purchase is taken into account, it can be determined that the gains and losses generated by the sale are included in the calculation of the valuation gains of the stocks.

In this case, the sum of trading gains of 4,266 won and valuation gains of 33,232 won is 37,498 won, which is not the same as investment profit of 37,826 won on November 19, 2015. Of course, the difference between the conventional method and the present invention in the investment profit calculated on November 19, 2015 according to the above example may be as small as 328 won, but if the buy and sell for the relevant stock continuously occurs this difference Can grow and widen. In addition, such large differences may cause damages in financial transactions such as stocks, futures and options.

Therefore, the present invention can solve the above problems by providing item trading data based on the last-in, first-out method.

In this case, the holding unit price described in the holding unit price field 730 means the unit price for one share item calculated in consideration of the cumulative gains and losses. You can also determine the profit or loss on a stock.

9 is a diagram illustrating an example of an interface screen of an apparatus for managing trading data according to the present invention.

9, the interface screen of the item transaction data management apparatus according to the present invention may correspond to the interface screen provided from the smart terminal 910 of the user.

That is, the item transaction data provided by the item transaction data management apparatus may be acquired through the smart terminal 910 and output according to FIG. 9.

At this time, by providing the item selection button 920 on the interface screen may select and confirm the item trading data for each item owned by the user.

For example, you can provide the average unit price of the stocks you own, along with the amount of investment gains from buying or selling the stocks. At this time, the average price of the stocks to be purchased is provided together with the current price and the price of the stock to enable the user to more easily determine the profit and loss information of the stock.

In addition, the interface screen of the item transaction management apparatus according to the present invention may also provide information such as stock price information, item of interest information, item profit and loss information or item charts and graphs.

In this case, although an example of providing item transaction data through the smart terminal 910 is described in FIG. 9, the item transaction data according to the present invention may be provided through various types of terminals in addition to the smart terminal.

As described above, the stock trading data management apparatus of the last-in first-out method and the stock trading data management method using the same are not limited to the configuration and method of the embodiments described above, but the above-described embodiments These may be configured by selectively combining all or part of the embodiments so that various modifications can be made.

Claims (18)

1. In the item trading data management method performed by the item trading data management device,

   Storing the number of purchases and the number of purchases when a purchase for a specific item occurs;

   Calculating and storing the gains and gains on the sale if the sale of a specific sale for the particular item occurs by a last-in first-out method; And

   Calculating an average purchase price of holdings of the last-in, first-out method by using the accumulated trading profit; And

   Calculating investment profit corresponding to the average purchase price of the stocks;

   Stock trading data management method comprising a.
2. The method according to claim 1,

   The stock trading data management method

   Distinguishing and displaying a first element of the investment profit resulting from the sale of the particular item and a second element of the investment profit corresponding to a price change of the remaining balance of the particular item

   Stock trading data management method further comprising.
3. The method according to claim 2,

   The first element

   Item trading data management method, characterized in that calculated using the cumulative trading profit.
4. The method according to claim 2,

   The second element

   Stock trading data management method, characterized in that calculated by multiplying the remaining balance by the amount minus the present price from the average purchase price of the stock.
5. The method according to claim 2,

   The sum of the first element and the second element corresponds to the investment profit.
6. The method according to claim 1,

   Calculating and storing the trading profit and the cumulative trading profit

   The stock trading method of claim 1, wherein the selling quantity corresponding to the selling is stored as the selling quantity corresponding to the selling from the most recently bought quantity, and the trading gain and the cumulative selling profit are calculated based on the selling relative buying.
7. The method according to claim 6,

   Calculating and storing the trading profit and the cumulative trading profit

   In the event that the quantity of the sell-off of the specific selling amount is more than the quantity of the most recently bought quantity, storing at least two selling relative buy-offs, and calculating the selling profit and accumulation of trading gains for each of the two or more selling-buy buyings. How to manage transaction data.
8. The method according to claim 7,

   The gains and losses

   Item trading data management method characterized in that calculated by subtracting the purchase fee, the selling fee and tax from the value of the specific selling price minus the selling relative buy quantity multiplied by the selling quantity.
9. The method according to claim 5,

   The average purchase price of holdings of the last-in, first-out method is

   Item trading data management method characterized in that it is calculated by dividing the value by adding the accumulated trading profits to the input amount by the remaining amount.
10. A memory for storing buys and buy quantities for a particular stock, and for storing the selling gains and the accumulated gains and losses calculated on a last-in-first-out basis whenever a sell-off of a particular sell occurs; And

    A processor that calculates the average purchase price of the stocks of the last-in-first-out method and calculates the investment profit corresponding to the average purchase price of the stocks by using the cumulative gains and losses of the last-in, first-out method.

    Stock trading data management device comprising a.
11. The method according to claim 10,

    The processor is

    Discrete trading data management device characterized by displaying the first element of the investment profit generated by the sale of the particular item and the second element of the investment profit corresponding to the price change of the remaining balance of the particular item .
12. The method according to claim 11,

    The first element

    Item trading data management apparatus, characterized in that calculated using the cumulative trading profit.
13. The method according to claim 11,

    The second element

    Stock trading data management device, characterized in that calculated by multiplying the remaining balance by the amount minus the current price from the average purchase price of the stock.
14. The method according to claim 11,

    The sum of the first element and the second element is the trading data management apparatus, characterized in that corresponding to the investment profit.
15. The method according to claim 10,

    The memory is

    Item trading data management device characterized in that for storing the relative purchase price from the most recently purchased quantity to sell quantity, and calculates the trading profit and the cumulative trading profit based on the selling relative purchase.
16. The method according to claim 15,

    The memory is

    In the event that the quantity of the sell-off of the specific selling amount is more than the quantity of the most recently bought quantity, storing at least two selling relative buy-offs, and calculating the selling profit and accumulation of trading gains for each of the two or more selling-buy buyings. Transaction data management device.
17. The method according to claim 16,

    The gains and losses

    Item trading data management device, characterized in that calculated by subtracting the purchase fee, selling fee and tax from the value of the specific selling price minus the selling relative purchase price multiplied by the selling quantity.
18. The method according to claim 10,

    The average purchase price of holdings of the last-in, first-out method is

    Item trading data management device, characterized in that the calculated by dividing the value of the sum plus the trading profits by the remaining amount.

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