KR20020061078A - STM I(System Tradig. for Moneyable) - Google Patents

Abstract

PURPOSE: A system for trading all stocks items is provided to attain to a high profit by a virtual trading method through a simulation applying a cycle after a user finds out the most suitable cycle by analyzing the stream of the stocks prices. CONSTITUTION: The system comprises a user server setting a kind of the contents on the on-line and receiving the information from the set contents, and an operator server enabling the user to realize the high profit by making the user trace and analyze the stream of the stocks prices. An operator makes out the new data from the unprocessed raw data through a scientific technique and analysis. The user successively carries out a business category analysis by using the new data and an item development/analysis. After the item development/analysis, the user decides the accurate buy/sell timing.

Description

All Stock Trading System {STM I (System Tradig. For Moneyable)}

The present invention relates to a business model provided on the Internet, and relates to a stock trading system that allows a user to achieve a high return on stock investment using the Internet.

The conventional technology analyzes the stock price trend to find the most suitable cycle, even though the user utilizes the key and technical indices of various stocks on the Internet site. There was an inefficiency that could not produce high returns.

On the other hand, as interest in Jae Tech has increased recently, more and more people are trying to use the stock trading system as a means of Jae Tech.

Therefore, there is a need for a new concept of stock trading system that can realize the highest return.

The present invention has been made to solve the problems of the prior art, the object of the present invention is to analyze the flow of stock prices to find the most suitable cycle, and through the simulation applied to the cycle through the method of high trading yield To achieve.

Another object of the present invention is to provide a scientific investment analysis data to the user to help create a rational and efficient return.

And these scientific investment analysis data are characterized by objective and reliable data that have been verified several times.

1 is a view showing the overall flow of the stock trading system according to the present invention.

2 is a view showing the configuration of the stock trading system based on FIG.

3 is a detailed configuration diagram illustrating the industry analysis according to the configuration of FIG. 2.

FIG. 4 is a detailed block diagram illustrating the item extraction / analysis according to the configuration of FIG. 2.

<Explanation of symbols for the main parts of the drawings>

101.107: Internet network 103: Securities information database

105: operator server 109: user server

The present invention is a system in which a user analyzes stock through information supplied from an operator server 105. The user analyzes the flow of stock price to find the most suitable cycle and finds the exact buy and sell timing by realizing the virtual trading. Explain the process.

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

1 is a view showing the overall flow of the stock trading system according to the present invention. Referring to FIG. 1, from the operator server 105 forming the database 103 for scientific investment analysis method, the user analyzes the stock price flow to find the most suitable cycle, and simulates the cycle. By applying key and technical indicators that can help you achieve trading and achieve the highest returns, you can be informed of the exact timing of buying and selling.

FIG. 2 is a diagram illustrating a business model based on FIG. 1. In the stock trading system method according to the present invention, an operator can process a new DATA 203 from raw RAW DATA 201 through scientific techniques and analysis, and a user can realize high profit using this new data. The first method is industry analysis (205). A detailed view of this industry analysis is shown in FIG. 3. After the industry analysis 205 is finished, the user performs an item discovery / analysis 207, which is shown in FIG. After the user finishes the analysis of the industry and stocks, the company's recommended stock (209) and MY STOCK (211) to determine the exact buy and sell timing (213) and the user realizes a high profit (215).

FIG. 3 is a detailed view of the industry analysis 205 of FIG. 2, and is comprised of a comparative analysis 301 between industries, a trend analysis 311 between industries, and a comprehensive analysis 321 for each industry type. The user selects an industry or theme that has a high possibility of price increase by industry or theme as a prerequisite for selecting an event, thereby discovering an item suitable for the user.

1) Comparative analysis between industries (301)

The comparative analysis between industries is subdivided into market indicator comparison (303), technical indicator comparison (305), financial indicator comparison (307), and yield indicator comparison (309). This function helps to determine whether or not is present in the description.

-Comparison of market indicators (303): Consist of composition ratio, index fluctuation (rate), trade volume increase, transaction weight ratio, index level 10 days, 20 days, allowing users to make horizontal comparisons.

-Comparison of technical indicators (305): VR, OBV, psychology, spacing, density, and forward (inverted) array is configured to enable the user to make a vertical comparison.

-Comparison of financial indicators (307): It consists of PER, EPS, BPS, sales growth rate, ordinary profit growth rate, ordinary recurring profit rate, and absent ratio, allowing users to make a valuation of each industry.

-Comparison of yield indicators (309): It consists of expected returns, profitability, loss risk, upward volatility, and downward volatility, allowing users to compare the yields of each industry.

2) Trend analysis across industries (311)

Industry trend analysis is further subdivided into market indicator comparison (313), technical indicator comparison (315), financial indicator comparison (317) and yield indicator comparison (319). By analyzing the movement, you can capture the point of sale.

-Market index comparison (313): The index is divided into composite index, large, medium, and small, and each index consists of 3 days, 5 days, 10 days, 20 days, 40 days, and 60 days ago. In addition, each index is divided into index fluctuation, industry composition ratio, trade volume increase, transaction weight ratio, index level 10 days, index level 20 days, so that users can see the trend by horizontal comparison.

-Comparison of technical indicators (315): It consists of VR, OBV, psychology, density, moving average (20 days), and each sectors such as comprehensive index, financial industry, manufacturing industry, 3 days, 5 days, 10 days, 20 days It is divided into 40 days and 60 days ago so that the user can see the trend by the vertical comparison.

-Comparison of financial indicators (317): It consists of PER, BPS, EPS, recurring profit growth rate, sales growth rate, debt ratio, and sales recurring profit rate. Enables worthy comparisons of industries.

-Comparison of Yield Indicators (319): Expected Return, Profitability, Loss Risk, Upward Volatility, Downward Volatility, and 3 sectors, 5 days, 10 days and 20 days It is divided into 40 days and 60 days ago, allowing users to see trends by comparing the yields of each industry.

3) Comprehensive analysis between industries (321)

Comprehensive cross-industry analysis consists of the cross-industry indicator analysis (323) and cross-sector item analysis (325), and acts as a comprehensive cross-industry report form of the above analysis.

-Inter-industry indicator analysis (323): Market indicators, technical indicators, and earnings indicators consisted of three days, five days, ten days, twenty days, forty days, and sixty days, respectively, so that users can analyze comprehensive indicators among industries. To make it possible.

-Cross-sector stock analysis (325): The user can look up to 20 stocks, each of which consists of the current price, compared to the previous day, trading volume, separation, stock price level (10 days), loss risk rate to the user It allows for analysis.

FIG. 4 is a detailed view of the item discovery / analysis of FIG. 2, which is composed of an item discovery (401) and an item analysis (409), and observes how the user is reflected in the stock price of the relevant item. Helps to improve yield.

1) Event Discovery (401)

The stock discovery consists of financial ratio analysis, moving average analysis, and feature stock analysis, allowing users to select stocks that are superior to other stocks in terms of yield.

-Financial Ratio Analysis (403): The user can select growth, profitability, stability, and marketability. VR, psychology, OBV, loss risk, stock price level (5 days), stock price level (10 days), stock price level ( On the 20th, it is composed of total volatility, which enables users to discover stocks that consider the value side of each company.

-Moving Average Analysis (405): Stock moving average golden / dead cross, trading volume moving average golden / dead cross, separation, density, VR, psychology, OBV, loss risk, stock price level (5 days), stock price level (10 days), stock price level (20 days), and total volatility, which enables users to discover high-margin stocks by technical analysis that reflects stock price trends.

-Featured Stock Analysis (407): It consists of stock price level, trading volume, loss risk, total volatility, reported price / new low price, upper / lower price limit, trading volume increase rate, profitability rate, and fair value ratio. It acts to enable item discovery.

2) Stock Analysis (409)

Stock analysis consists of stock analysis (411), third-party comparison analysis (421), company information (429) to provide users with the effect of comprehensive and intensive analysis on individual items through horizontal and vertical comparison and analysis .

-Analytical stock analysis (411): It consists of current price, chart view, four-week market price and indicator trend, so that users can grasp the three-dimensional analysis of individual stocks and stock price flow. Detailed description of each item is as follows.

-Current Price (413): Preferred Price (Sell, Price, Purchase Price), Upper Price, High Price, Current Price, Market Price, Low Price, Lower Price, etc. Be prepared to know at a glance.

Chart View (415): Consists of stock price, trading volume, MACD, stochastic, separation, etc., enables users to visually compare the indicators by technical analysis tools.

-4 weeks price (417): Date, previous day's closing price, compared to the previous day, market price, high price, low price, trading volume, separation degree, stock price level (20 days), VR price information for each item to fit the user's preference. To get.

-Index trend (419): Stock index (full-day closing price, trading volume, industry index, composite index), volatility (upward volatility, downward volatility), stock price level (5 days, 10 days, 20 days), subsidiary indicators (distribution, VR) , OBV, psychology, separation, density, forward arrangement, inverse arrangement, loss risk, and profit margin), respectively, consisting of the day before, 3 days before, 5 days before, 10 days before, 20 days before, 40 days before. Allows an in-depth analysis of

-Competitive analysis of other companies (421): It consists of market indicators, technical indicators, and financial indicators to allow users to subdivide the information of stocks through comparisons between stocks and determine the comparative advantage by comparing them with other stocks of interest.

-Market index (423): It consists of distribution, upward volatility, downward volatility, and expected return to provide users with detailed information that can be compared with up to three companies.

-Technical indicators (425): It consists of VR, psychology, OBV, stock price level, separation, and density to provide users with detailed information through vertical comparison up to three companies.

-Financial indicators (427): It consists of growth, profitability, stability, liquidity, activity, and marketability to provide users with three-dimensional comparative information rather than simple flat data comparison.

-Company information (429): It consists of company overview (431), financial ratio (433), financial statements (435) to provide users with basic information to choose a healthy and sound company.

-Company Overview (431): Consists of major shareholders, equity relations, payment guarantees, sales structure, cost structure, and equity changes in each company.

-Financial Ratio (433): It consists of growth, profitability, safety, liquidity, activity, and marketability to provide users with information to determine whether the financial soundness of each company is three-dimensional.

-Financial statement (435): It consists of summary balance sheet and summary income statement of each company over three years, and informs the user of the financial condition of each company.

As described above, the stock trading system according to the present invention, when a user registers using the Internet network, the user analyzes the flow of the stock price by using the stock trading system in a scientific and three-dimensional manner. By finding the right cycle, we can find the exact buy and sell timing through the simulation of the cycle.

In addition, through such virtual trading, the user obtains the effect of realizing the highest profit rate by utilizing various technical indicators of this site.

Claims (5)

It is composed of a user server 109 that designates the type of content on-line and receives information from the specified content, and an operator server 105 that enables the user to track and analyze the flow of the stock price to realize high profits. Stock trading system. 2. The stock trading system of claim 1, wherein the online is an internet network. Sector analysis (205) that allows users to select industries that can achieve high profits by forming new data using scientific techniques from raw RAW data (201) and stocks that allow users to select stocks that match the user's taste after industry analysis. Stock information system, characterized in that consisting of excavation / analysis (207). The information providing method according to claim 3, wherein the user selects an industry or theme with a large price increase for each industry or theme as a prerequisite for selecting an item, thereby discovering an item suitable for the item. 4. The method of claim 3, wherein the item discovery / analysis (207) identifies the three-dimensional analysis and stock price flows for the individual items to the user.