TW201305953A - System for providing stock information recommendation - Google Patents

Abstract

The invention discloses a system for providing stock information recommendation, which includes a data collection and storage module, multiple stock analysis modules, a parameter storing database and a recommendation information judgment module. The data collection and storage module stores the relative stock information collected from outside. The relative stock information is first analyzed by the stock analysis module. Then, several judgment parameters are generated for each stock representing the signal strength of buying/selling. The recommendation information judgment module compares the judgment parameters accordingly with the preset conditions, so as to obtain a recommendation information of the current stock and provide the same to the investor for reference. As a result, the investor can obtain real-time and more detailed reference ideas.

Description

Stock information suggestion system

The present invention relates to a system for providing a portfolio of securities, and in particular to a system that provides a variety of reference recommendations for the ups and downs of a company's stock.

At present, there are a variety of investment projects available on the market. They are free to choose according to their personal preferences. The investment population in securities and financial investment accounts for a certain proportion, but most of them are retail investors who have not received professional investment knowledge training. These investors may take the initiative to obtain relevant advice from a variety of channels, such as a wide range of references from investment letters, surveys, analysts or various stock analysis software.

However, at present, the analysis software of computer-executed stock analysis software is quite general. Most of them can only predict the simple analysis results such as ups, downs and consolidations, and cannot provide detailed analysis opinions for investors. For investors, the results of such analysis are relatively weak and it is difficult to make an appropriate assessment of the investment target.

In addition to the aforementioned problems, in the securities voice system, the traditional methods are mostly divided into two categories. One is the simple quotation method, that is, after the customer dials the voice line, they can only listen to the latest quotation of the selected stock; the other is manual pre-recording. The way, after the customer dials the voice line, they can listen to the pre-recorded content of the analyst, but the main disadvantage of this method is that the analysis information can not match the latest market conditions, because the manual pre-recording will cause time delay, investors are changing rapidly. In the market, it is impossible to immediately know the favorable information.

The main purpose of the present invention is to provide a stock information suggestion system, which can automatically provide the most timely advice information for each stock, and the suggested information can further express the reference opinion of the stock trend.

In order to achieve the foregoing objective, the stock information suggestion providing system of the present invention comprises: a data collecting and storing module, which stores stock information for collecting stocks of various companies, wherein the stock information refers to a plurality of index information related to the stock in a certain period of time. a plurality of stock analysis models, which use the aforementioned data to collect stock information accumulated in the storage module for analysis and calculation, and generate various judgment parameters of each company stock, the judgment parameters include buy, sell, strong days, weak days, The previous day to buy the news and the previous day to sell the news; a parameter storage database is responsible for storing the judgment parameters of each stock calculated by the stock analysis model; a suggested information judgment module, which has various judgment conditions and various principles Corresponding suggestion information, the suggestion information judging module judges which suggestion information should be given to each company stock according to the judgment parameters stored in the parameter storage database.

The invention can generate up to a dozen kinds of suggestion information according to the judgment condition, and can more specifically reflect the recent trend of each stock, provide a more informative opinion to the investor, and the stock information is frequently updated for the stock. The analysis model calculates the latest judgment parameters, and then gives an instant valid message.

Another object of the present invention is to provide a stock information suggestion providing system with voice function, and an investor can listen to a voice form suggestion information by dialing a voice line.

In order to achieve the foregoing objective, the present invention further includes a voice module, which converts the suggestion information into a voice signal. When the user dials a dedicated line to enter the voice module to query the stock, the voice module suggests the stock. Play in voice.

Please refer to FIG. 1 , which is a block diagram of a system for providing stock information suggestions according to the present invention. The system includes: a data collection and storage module 11 for storing stock information of stocks of various companies, the source of which may be from securities transactions. The stock information refers to a number of indicator information related to the stock within a certain period of time (for example, several months), such as but not limited to the transaction price, the single-day trading volume, and the cumulative increase. The information required for computer analysis, such as the number of days of falling stocks, basic information and financial information of stock companies, and super-computer transactions, will be collected daily with the stock index information to accumulate a certain amount of data, with the stock information collected as a follow-up The analysis basis of the stage; the plurality of stock analysis models 12, the stock information accumulated in the storage module 11 is collected and analyzed, and various judgment parameters of each company stock are generated, and in this embodiment, the judgment parameters include buying News 21, sell news 22, strong days 23, weak days 24, the previous day to buy 25 and the previous day to sell 26, etc. The information of Buying 21 and Selling 22 can be calculated by basic theories such as economics or investment; the number of strong days 23 can be obtained by referring to Buy 21, for example, it is analyzed that there are multiple purchases 21 such as 3 For the above, there will be a strong day for 1 day; the weak day 24 can be obtained by referring to the sale of 22, for example, if there are multiple sales news 22, such as more than 2, there will be 1 day of weak days; a parameter storage database 13. Responsible for storing the judgment parameters of each stock calculated by the stock analysis model 12; a suggestion information judging module 14 has a plurality of judgment conditions and suggestion information corresponding to each principle, and the suggestion information judging module 14 According to the judgment parameters stored in the parameter storage database 13, determine what kind of suggestion information should be given to each company's stock, please refer to the following table, which is the suggestion information and corresponding judgment conditions that can be provided by the present invention, from the list It can be seen that the present invention can provide investors with up to a dozen suggestions, making it easier for investors to grasp the stock market information.

The data collection and storage module 11, the stock analysis model 12, the parameter storage database 13, the suggestion information judging module 14, and the like of the present invention can be established inside the network host 10. The network host 10 can automatically retrieve the data source from the outside to obtain stock information, and store it in its data collection storage module 11. The network host 10 can further configure a member database 15 for storing the basic information of the investor who wants to become a member. When the investor who has become a member uses the Internet device such as his personal computer or mobile phone to log in to the network via the Internet. After the host 10, the company can enjoy the stock recommendation query function. For example, when the investor wants to query a specific A stock, the query instruction (such as name, code) is input, and the suggestion information judging module 14 is based on the A stock. Judging the parameters and analyzing what kind of advice information should be given. The information is returned to the investor's Internet device.

Referring to FIG. 2, a block diagram of a system according to another embodiment of the present invention further includes a voice module 16 for providing voice information suggestion information; when an investor dials a dedicated line to the network host 10 to query In the case of a specific stock, the advice information generated by the suggestion information judging module 14 will be converted into a voice signal by the voice module 16, and the investor can listen to the instant opinion analysis. Moreover, the voice module 16 can have a voice recognition function, that is, after the investor dials the dedicated line and enters the network host 10, the query command can be directly sent by means of dictation, for example, the name and code of a stock are spoken, and the voice is spoken. After receiving the query command dictated by the user, the module 16 determines the object to be queried by performing voice recognition, and plays the recommended information for the user to listen to after confirming the query object. In addition to voice over telephone, the voice module 16 of the present invention can also support different playing modes such as computer voice or digital television voice. The computer voice mode can support the user to play the voice signal back to the user's computer or mobile phone via the computer or mobile phone through the Internet to the network host 10, and then play it through the earphone, speaker and other devices.

10. . . Web host

11. . . Data collection storage module

12. . . Stock analysis model

13. . . Parameter storage database

14. . . Suggestion information judgment module

15. . . Member database

16. . . Voice module

twenty one. . . Buy news

twenty two. . . Selling news

twenty three. . . Strong days

twenty four. . . Weak days

25. . . Buy the day before

26. . . The day before the sale

Figure 1 is a block diagram of a system in accordance with a first embodiment of the present invention.

Figure 2 is a block diagram of a system of a second embodiment of the present invention.

10. . . Web host

11. . . Data collection storage module

12. . . Stock analysis model

13. . . Parameter storage database

14. . . Suggestion information judgment module

15. . . Member database

twenty one. . . Buy news

twenty two. . . Selling news

twenty three. . . Strong days

twenty four. . . Weak days

25. . . Buy the day before

26. . . The day before the sale

Claims (6)

A stock information suggestion providing system comprises: a data collecting and storing module, storing stock information for collecting stocks of various companies, wherein the stock information refers to a plurality of index information related to the stock in a certain period of time; a plurality of stock analysis The model analyzes and calculates the stock information accumulated in the storage module by the foregoing data, and generates various judgment parameters of the stocks of the companies, and the judgment parameters include buying, selling, strong days, weak days, buying the previous day and The previous day sells a data storage database, which is responsible for storing the judgment parameters of each stock calculated by the stock analysis model; a suggestion information judgment module has various judgment conditions and suggestion information corresponding to each principle. The suggestion information judging module judges which suggestion information should be given to each company stock according to the judgment parameters stored in the parameter storage database. For the stock information suggestion system described in item 1 of the patent application, the recommended information of the proposed information judgment module and the corresponding judgment conditions include: a: "The turning point is upward, there is a chance to be idling more", the judgment condition For (buy ≧ 3) AND (selling =0) AND (strong days = 1) AND (previous day selling ≧ 1) AND (previous day buying =0); b: "turning down, there is a chance More than empty, the judgment conditions are (buy ≧3) AND (buy =0) AND (weak days = 1) AND (previous day buy ≧ 1) AND (previous day sells =0); c: "Strong, the band rises, there is a chance to rise sharply", and the judgment conditions are (buy ≧3) AND (selling =0) AND (3>strong days>0) AND (previous day sells =1); d : "Weakness, the band is falling, there is a chance to fall sharply", and the judgment conditions are (selling ≧3) AND (buy =0) AND (3>weak days>0) AND (previous day buying news=1); e: "Strong, the stock price continues to rise, pull back to find a buy point", the judgment conditions are (buy ≧ 3) AND (selling =0) AND (5> strong days ≧ 3); f: "weak, the stock continues to fall Rebound to find a selling point, the judgment condition is (selling ≧3) AND (buy =0) AND (5>weak days ≧3); g: " Strong, the stock price has risen too much, don't chase it higher, and the judgment conditions are (buy ≧3) AND (selling =0) AND (strong days ≧5); h: "weak, the stock price has fallen deeply, no longer Killing low, the judgment conditions are (selling ≧3) AND (buy =0) AND (weak days ≧5); i: "technical face is strong, multi-party operation", the judgment condition is (buy ≧3 ) AND (selling = 0) AND (strong days = 0); j: "technical face weak, empty operation", the judgment condition is (selling ≧ 3) AND (buy news = 0) AND (weak days) =0);k: "More, the trend is beneficial to many parties", the judgment conditions are (3> buy news 1) AND (sell news = 0); l: "turn empty, the trend is good for the empty side", its The judgment conditions are (3>selling ≧1) AND (buy =0); m: "wait and see, strong and weak, weak and strong", the judgment condition is (buy ≧1) AND (selling ≧ 1);n: "Consolidation, multi-party organization, see more", the judgment condition is (buy news = 0) AND (selling = 0) AND (the day before to buy news ) 1) AND (previous day sells =0 );o: "Consolidation, empty side finishing structure, bearish", the judgment condition is (buy news = 0) AND (selling = 0) AND (the day before the news = 0) AND (the day before the sale ≧ 0 );;p:" Integrity, continuous consolidation, ups and downs, and the judgment conditions are [(buy news = 0) AND (selling = 0) AND (the day before the news = 0) AND (the day before the sale ≧ 0)] OR [ (Buy News = 0) AND (selling = 0) AND (the day before to buy the news ≧ 1) AND (the day before the sale ≧ 1)]; q: "consolidation, long and short battles and wait and see", if the above judgment principle is not met , use this suggestion. The stock information suggestion providing system described in claim 1 or 2 further includes a voice module, which can receive a query command sent by the user after dialing a voice line, and the voice module will suggest information. The suggested information generated by the group is converted into a voice signal for the user to listen to. For example, the stock information suggestion providing system described in claim 3, the data collecting storage module, the stock analysis model, the parameter storage database and the suggestion information judging module are all built in a network host. For example, in the stock information suggestion providing system described in claim 4, the web host includes a member database for storing basic information of the investor who becomes a member. For example, the stock information suggestion providing system described in claim 3 of the patent scope has a voice recognition function.