TWI744758B - Investment timing evaluation system - Google Patents

Abstract

An investment timing evaluation system is provided. The system performs the following processes: obtaining stock market indexes over years; calculating stock price fluctuation data based on the stock market indexes and a price-to-earning ratio of a stock; averaging the stock market indexes; defining a confidence interval based on the averaged stock market indexes; determining two stock prices of the stock price fluctuation data respectively as a stock price low point that is equal to or higher than a lower limit value and as a stock price point that is equal to or lower than a higher limit value of the confidence interval; and evaluating whether or not time points at which the stock price low and high points are appropriate investment timing points.

Description

Investment timing evaluation system

The invention relates to investment, and in particular to an investment opportunity evaluation system.

With the rapid advancement of information technology, people's demand for instant and convenient information acquisition has exploded. And stock investment has always been the financial management method chosen by the general public. If you can quickly obtain the stock ups and downs from the numerous stock information, and provide investors with real-time and correct buying and selling decisions, it is definitely what ordinary investors want. However, existing stock investment platforms only focus on information collection and stock data display. Investors are easily misled by large amounts of data, fail to correctly assess investment risks, and misjudge investment timing.

The technical problem to be solved by the present invention is to provide an investment timing evaluation method for the shortcomings of the prior art, which includes the following steps: obtain historical and continuously updated daily stock market indexes to establish a transaction data database; based on the transaction data database , Considering the price-to-earnings ratio of stocks to calculate stock price fluctuation data; obtain multi-day stock market indices within a date range from the transaction data database, and divide the sum of the multi-day stock market indices by the number of days in the date range to calculate Average stock market index, the average stock market index reflects the normal changes in stock prices within the date range; based on the average stock market index, to define the confidence interval; compare the stock price of stock price fluctuation data with the lower limit and upper limit of the confidence interval to determine whether it is equal to or The stock price above the lower limit of the confidence interval is the low point of the stock price, and it is judged that it is equal to or higher than the confidence interval The stock price that depends on the upper limit of the interval is the stock price high; and the rate of return from buying stocks when the stock price is low to selling stocks when the stock price is high is calculated to assess whether the time points of the low and high stock prices are different It is an appropriate investment timing point for buying and selling stocks.

In an implementation aspect, the investment timing evaluation method further includes the following steps: constructing a stock market curve in the graph based on the transaction data database; and constructing a stock price fluctuation curve in the graph based on the stock price fluctuation data.

In an implementation aspect, the investment timing evaluation method further includes the following steps: define a low value area and a high value area outside the confidence interval based on the average stock market index in the graph; determine that the stock price is equal to or higher than the upper value of the confidence interval The stock market curve point of the stock price fluctuation curve with the limit value falls into the high value zone; and the stock market curve point of the stock price fluctuation curve that determines that the stock price is equal to or lower than the lower limit of the confidence interval falls into the low value zone.

In an implementation aspect, the investment timing evaluation method further includes the following steps: based on the average stock market index, multiple confidence intervals with different proportions of the total of the confidence interval, the low value area and the high value area are defined.

In an implementation aspect, the investment timing evaluation method further includes the following steps: according to an investment risk degree selection information, a confidence interval of a ratio is selected from a plurality of confidence intervals as a basis for judging the low and high stock prices.

In addition, the present invention provides an investment timing evaluation system, which includes a stock market index recording module, a stock price fluctuation estimation module, a stock index averaging module, a confidence interval definition module, a stock price high and low point evaluation module, and an investment evaluation module. The stock index record module is configured to obtain daily and continuously updated stock market indexes over the years to establish a transaction data database. The stock price volatility estimation module is connected to the stock market index recording module and configured to calculate the stock price volatility data based on the transaction data database, considering the price-to-earnings ratio of the stock. The stock market index averaging module is connected to the stock market index record module, configured to obtain multi-day stock market indexes within a date range from the transaction data database, and calculate the total number of stock market indexes over multiple days. Sum is divided by the number of days in the date range to calculate the average stock market index. The average stock market index reflects the normal changes in stock prices within the date range. The confidence interval definition module is connected to the stock market index averaging module and configured to define the confidence interval based on the average stock market index. The stock price high and low point evaluation module is connected with the confidence interval definition module and the stock price fluctuation estimation module. The stock price high and low point evaluation module is configured to compare the stock price of the stock price fluctuation data with the lower limit and upper limit of the confidence interval, and judge the stock price equal to or higher than the lower limit of the confidence interval as the low point of the stock price, and judge whether it is equal to or high The stock price at the upper limit of the confidence interval is the stock price high. The investment evaluation module is connected to the stock price high and low evaluation module, configured to calculate the rate of return from buying stocks when the stock price is low to selling stocks when the stock price is high, to evaluate whether the time points of the low and high stock prices are different It is an appropriate investment timing point for buying and selling stocks.

In an implementation aspect, the investment timing evaluation system further includes a graph construction module, which is connected to the stock index recording module and the stock price fluctuation estimation module. The graph construction module is configured to construct a stock market curve in the graph based on the transaction data database, and to construct a stock price fluctuation curve in the graph based on the stock price fluctuation data.

In an implementation aspect, the confidence interval definition module defines the low value area and the high value area outside the confidence interval based on the average stock market index in the graph. The stock price high and low point evaluation module is configured to determine that the stock price curve point of the stock price volatility curve whose stock price is equal to or higher than the upper limit of the confidence interval falls into the high value zone, and the stock price volatility curve of which the stock price is equal to or lower than the lower limit of the confidence interval The curve point of the stock market falls into the low value zone.

In an implementation aspect, the confidence interval definition module is based on the average stock market index to define multiple confidence intervals that account for different proportions of the total of the confidence interval, the low value area, and the high value area.

In an implementation aspect, the stock price high and low point evaluation module selects a trust interval of a ratio from a plurality of trust intervals based on an investment risk selection information input from an external device as a basis for judging the stock price low point and the stock price high point.

In order to further understand the features and technical content of the present invention, please refer to the following Regarding the detailed description and drawings of the present invention, the provided drawings are only for reference and description, and are not used to limit the present invention.

S101~S129: steps

10: Stock index record module

11: Stock market index

12: Transaction data database

20: Stock price fluctuation estimation module

21: Stock price fluctuation data

30: Stock index average module

31: Average stock market index

40: Confidence Interval Definition Module

41: Confidence Interval

42: Low value area

43: high value area

50: Stock price high and low point evaluation module

51: Stock price low

52: Stock price high

60: Investment Evaluation Module

61: rate of return

62: Investment timing

70: Graph construction module

71: The Stock Market Curve

72: Stock price volatility curve

U1, U2, U3, U4: upper limit

L1, L2, L3, L4: lower limit

CT1, CT2, CT3, CT4: spread

Fig. 1 is a flowchart of an investment opportunity evaluation method according to an embodiment of the present invention.

Fig. 2 is a block diagram of an investment opportunity evaluation system according to an embodiment of the present invention.

FIG. 3 is a schematic diagram of the operation interface of the investment opportunity evaluation system according to an embodiment of the present invention.

FIG. 4 is a graph of the investment timing evaluation system and method according to an embodiment of the present invention when the confidence interval ratio is 60%.

FIG. 5 is a graph of the investment timing evaluation system and method according to an embodiment of the present invention when the confidence interval ratio is 70%.

FIG. 6 is a graph of the investment timing evaluation system and method according to an embodiment of the present invention when the trust interval ratio is 80%.

FIG. 7 is a graph of the investment timing evaluation system and method according to an embodiment of the present invention when the confidence interval ratio is 90%.

FIG. 8 is a schematic diagram of a display interface for calculating a rate of return by the investment timing evaluation system according to an embodiment of the present invention.

The following are specific specific examples to illustrate the disclosed embodiments of the present invention, and those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be based on different viewpoints and applications, and various modifications and changes can be made without departing from the concept of the present invention. In addition, the drawings of the present invention are merely schematic illustrations, and are not drawn according to actual size. statement. The following embodiments will further describe the related technical content of the present invention in detail, but the disclosed content is not intended to limit the protection scope of the present invention.

It should be understood that although terms such as “first”, “second”, and “third” may be used in this document to describe various elements or signals, these elements or signals should not be limited by these terms. These terms are mainly used to distinguish one element from another, or one signal from another signal. In addition, the term "or" used in this article may include any one or a combination of more of the associated listed items depending on the actual situation.

Please refer to FIG. 1, which is a flowchart of an investment timing evaluation method according to an embodiment of the present invention. As shown in FIG. 1, the investment timing evaluation method of this embodiment may include steps S101 to S129, which may be sequentially executed as follows.

In step S101, obtain daily and continuously updated global stock market indexes, Taiwan stock indexes or other indexes, and establish a transaction data database to record the obtained stock market indexes.

In step S103, a stock market curve is constructed in the curve chart based on the multi-day stock market index of the transaction data database.

In step S105, the stock market index changes over time based on the transaction data database, and factors that affect investment income such as the price-to-earning ratio of the stock are considered to calculate stock price fluctuation data.

In step S107, a stock price fluctuation curve is constructed based on the stock price fluctuation data. In order to facilitate investors' comparison, the stock price fluctuation curve can be constructed in the same graph as the stock market curve in step S103.

In step S109, obtain multi-day stock market indexes within a date range from the transaction data database, and divide the sum of the stock market indexes for multiple days (for example, 60 days) by the number of days in this date range (for example, 60 days) to calculate Produce an average stock market index that reflects the normal changes in stock prices within this date range.

In step S111, based on the average stock market index, a confidence interval for the stock price fluctuation data in the graph is defined, and a high value area and a low value outside the confidence interval can be defined Zone, where the stock price index of the high value zone is equal to or higher than the stock price index of the confidence interval, and the stock price index of the low value zone is equal to or lower than the stock price index of the confidence interval. The confidence interval, the high value area and the low value area may be marked in the graph of step S107.

In step S113, a stock price is sampled from the stock price fluctuation data.

In step S115, the stock price sampled in step S113 is compared with the lower limit of the confidence interval to determine whether the sampled stock price (for example, the stock price of the previous few days) is equal to or lower than the lower limit of the confidence interval. If not, step S113 is executed again to sample another stock price from the stock price fluctuation data. If yes, proceed to step S117.

In step S117, it is determined that the stock price that is equal to or lower than the lower limit of the confidence interval (that is, falls in the low value zone) is a stock price low.

In step S119, the next stock price is sampled from the stock price fluctuation data. The next stock price refers to the stock price after the date of step S113, and is not limited to the stock price of the next day of the stock price sampled in step S115, and may be the stock price several days later in practice. It should be understood that the basic principle of investment profit is to buy stocks at low stock prices and sell stocks when the stock prices rise in the future, that is, by buying low and selling high, to earn the spread. Therefore, the stock price sampled in step S119 needs to be higher than the stock price sampled in step S115.

In step S121, the stock price sampled in step S119 is compared with the upper limit of the confidence interval to determine whether the sampled stock price is equal to or higher than the upper limit of the confidence interval.

In step S123, it is determined that the stock price is equal to or higher than the upper limit of the confidence interval (that is, falls in the high value zone) as a stock price high.

In step S125, a rate of return is calculated for buying the stock when the stock price is low (buying low) and then selling the stock when the stock price is high (selling high) in the future.

In step S127, it is determined whether the calculated rate of return meets expectations, for example, it is determined whether the rate of return is equal to or higher than a threshold rate of return. It should be understood that the threshold rate of return can be determined according to the investor’s personal investment profit expectations, for example, as long as it is a positive return (the threshold rate of return >0%) to meet expectations and invest.

In step S129, if the calculated rate of return meets expectations, the low and high stock prices sampled in step S119 can be recommended to investors. Conversely, if the calculated rate of return does not meet expectations, return to step S113 and step S119 to resample other stock prices. It should be understood that the greater the stock price gap between the stock price low and the stock price high, that is, the lower the price of buying the stock and the higher the price of selling the stock, the higher the rate of return.

In practice, the execution order of these steps can be appropriately adjusted or the steps can be appropriately omitted according to requirements, such as omitting the curve construction of steps S103 and S107 or omitting other steps. The embodiments herein are only examples for illustration, and the present invention is not limited thereto.

Please refer to FIG. 2, which is a block diagram of an investment opportunity evaluation system according to an embodiment of the present invention. As shown in FIG. 1, the investment timing evaluation system of the embodiment of the present invention includes a stock market index recording module 10, a stock price fluctuation estimation module 20, a stock market index averaging module 30, a confidence interval definition module 40, and a stock price high and low point evaluation module. 50 and investment evaluation module 60.

The stock market index record module 10 is configured to obtain the stock market index 11 over the years and the continuously updated daily stock market index 11 to establish a transaction data database 12. It should be understood that the stock market indexes 11 of which dates are recorded in the transaction data database 12 can be determined according to demand, and these stock market indexes 11 can be MSCI World Stock Index, Taiwan Stock Index or various stock market indexes of other countries. The invention is not limited to this.

The stock price fluctuation estimation module 20 is connected to the stock market index recording module 10 and is configured to obtain the stock market index 11 of the transaction data database 12 from the stock market index recording module 10. For example, when the stock price is 100 yuan and the surplus is 10 yuan, the P/E ratio=100/10=10, which means that if an investor buys this stock, it will take 20 years to pay back. Obviously, the assessment of investment timing needs not only to refer to the stock index 11, but also to consider the cost and profit of individual stocks. Therefore, the stock price fluctuation estimation module 20 calculates the stock price fluctuation data 21 based on the stock market index 11 recorded in the transaction data database 12, considering the price-to-earnings ratio of the stock. The above-mentioned price-to-earnings ratio is the ratio of cost to profit, which depends on the stock price and earnings per share. It is expressed in the following equation: PE ratio = current stock price/estimated future earnings per share.

The stock market index averaging module 30 is connected to the stock market index recording module 10, configured to obtain the multi-day stock market index 11 within a date range from the transaction data database 12, and divide the sum of the multi-day stock market index 11 by this date range The number of days (for example, 60 days) to obtain an average stock market index of 31. This average stock market index 31 reflects the normal changes in stock prices within the date range. That is, by taking the average value of the daily index, it excludes the large changes in stock prices caused by occasional rather than frequent events (such as the 921 earthquake), which is not a basis for judging the timing of investment evaluation.

The confidence interval definition module 40 is connected to the stock market index averaging module 30, and is configured to be based on the average stock market index 31 to define a confidence interval 41 or called a normal interval or a credible interval, which is a range of a stock market index that changes normally.

The stock price high and low point evaluation module 50 is connected to the confidence interval definition module 40 and the stock price fluctuation estimation module 20, and is configured to compare the stock price of the stock price fluctuation data 21 with the lower limit value 411 and the upper limit value of the confidence interval 41 to determine whether it is equal to or The stock price higher than the lower limit value 411 of the confidence interval 41 is the stock price low 51, and the stock price equal to or higher than the upper limit value of the confidence interval 41 is judged to be the stock price high 52.

The investment evaluation module 60 is connected to the stock price high and low point evaluation module 50, and is configured to calculate the return rate 61 from buying stocks at the stock price low point 51 to selling stocks at the stock price high point 52 to evaluate sampled stock price low points 51 Whether the time point is the appropriate investment timing point 62 for buying stocks, and the time point when the sampled stock price high 52 occurs is the appropriate investment timing point 62 for selling stocks.

Please refer to Figures 2-7 together, in which Figure 2 is a block diagram of the investment timing evaluation system according to an embodiment of the present invention; Figure 3 is a schematic diagram of the operation interface of the investment timing evaluation system according to an embodiment of the present invention; Figures 4-7 respectively It is a graph of the investment timing evaluation system and method of the embodiment of the present invention when the trust interval ratio is 60%, 70%, 80%, and 90%.

As shown in FIG. 2, the investment timing evaluation system of the embodiment of the present invention may include curve graph construction The structure module 70 is connected to the stock market index recording module 10 and the stock price fluctuation estimation module 20, and is configured to construct a stock market curve 71 based on the transaction data database 12 in a graph, and based on the stock price fluctuation data 21, A stock price fluctuation curve 72 is constructed in the same or another graph.

The confidence interval definition module 40 shown in FIG. 2 can define the confidence interval 41, the low value area 42 and the high value area 43 according to the stock price range, and mark them in the graph. The stock price high and low point evaluation module 50 judges that 71 points of the stock market curve with a stock price equal to or higher than the upper limit of the confidence interval 41 (ie, the stock price low point 51) fall into the high value zone 43, and have a stock price equal to or lower than the confidence interval 41 71 points (ie, the stock price high point 52) of the stock market curve of the lower limit 411 of the stock price falls into the low value zone 42.

Different investors have different investment methods and habits, such as the frequency of buying and selling stocks, the funds they own at different points in time, and the level of investment risks that can be assumed. In order to provide more customized investment assistance, The embodiment of the present invention provides a plurality of confidence intervals 41 with different ratios.

Specifically, the confidence interval definition module 40 may be based on the average stock market index 31 to define multiple confidence intervals 41 that account for different proportions of the total of the confidence interval 41, the low value area 42 and the high value area 43. Investors can operate an external device (such as a computer, a mobile phone, and other electronic devices) to input an investment risk selection message to the investment opportunity evaluation system of the embodiment of the present invention. The confidence interval definition module 40 can select a confidence interval 41 from a plurality of confidence intervals 41 with different ratios according to the selection information of the investment risk degree, and use it as the stock price high and low point evaluation module 50 to judge the stock price low 51 and stock price high. 52 basis.

For example, as shown in FIG. 3, in this embodiment, the confidence interval definition module 40 can provide the confidence interval 41 with a ratio of 60%, 70%, 80%, and 90% for the user to choose, which can be replaced or replaced in practice. In addition, different ratios of confidence intervals 41 are provided.

The stock market curve 71 in the graphs shown in Figures 4 to 8 is the same as the stock price volatility curve 72. The difference is that different ratios of confidence intervals 41 are provided. The vertical axis of the graph is the stock price, and the horizontal axis is the time (year). ,Month Day). It should be understood that the data shown in FIGS. 4 to 8 are only examples, and the present invention is not limited to the examples of the embodiments.

For example, when the investor selects 60%, the confidence interval definition module 40 provides the 60% confidence interval 41 information to the graph construction module 70 to present the confidence interval 41 in the graph constructed by the graph construction module 70 . As shown in FIG. 4, a confidence interval 41 with a ratio of 60% is present, which has a lower limit value L1 and an upper limit value U1. The area where the stock price index is lower than the lower limit value L1 is defined as the low value area 42, and the area where the stock price index is higher than the upper limit value U1 is defined as the high value area 43. The low value area 42 and the high value area 43 account for 40% of the sum of the confidence interval 41, the low value area 42 and the high value area 43, and the low value area 42 and the high value area 43 can respectively account for 20%.

For another example, when the investor selects 70%, the confidence interval definition module 40 provides the 70% confidence interval 41 information to the graph construction module 70, so as to display the ratio 70 in the graph constructed by the graph construction module 70 % Confidence interval 41. As shown in Fig. 5, a confidence interval 41 with a ratio of 70% is present, which has a lower limit value L2 and an upper limit value U2. The low value area 42 and the high value area 43 account for 30% of the sum of the confidence interval 41, the low value area 42 and the high value area 43.

For another example, when the investor selects 80%, the confidence interval definition module 40 provides information about the 80% confidence interval 41 to the graph construction module 70, so as to display the ratio 80 in the graph constructed by the graph construction module 70 % Confidence interval 41. As shown in FIG. 6, a confidence interval 41 with a ratio of 80% is present, which has a lower limit value L3 and an upper limit value U3. The low value area 42 and the high value area 43 account for 20% of the sum of the confidence interval 41, the low value area 42 and the high value area 43.

For another example, when the investor selects 90%, the confidence interval definition module 40 provides the 90% confidence interval 41 information to the graph construction module 70, so as to display the ratio 90 in the graph constructed by the graph construction module 70 % Confidence interval 41. As shown in FIG. 7, a confidence interval 41 with a ratio of 90% is present, which has a lower limit value L4 and an upper limit value U4. The low value area 42 and the high value area 43 account for 10% of the sum of the confidence interval 41, the low value area 42 and the high value area 43.

As shown in Figure 6, during the upward growth of the global economy, the stock price of the stock market curve 71 showed a continuous upward trend. For example, from November 9, 2016 to November 22, 2018, the stock price continued to rise. When the stock price continues to rise over time, there will be a relatively low stock price and a relatively high stock price. By buying stocks at relatively low stock prices and selling stocks at relatively high stock prices, you can earn an intermediate spread . Among them, from January 25, 2017 to November 23, 2018, the stock price remained higher than or equal to the upper limit U3 of the confidence interval 41 and fell into the high value zone 43. Looking at the stock market curve 71, it is obvious that during this period, there is no stock price low (falling in the low value zone 42). Therefore, if the user is not recommended to buy stocks, it will cause investors to lose money.

Therefore, in the embodiment of the present invention, further based on the stock price index of the transaction data database 12 and considering the price-to-earnings ratio of the stock, the stock price fluctuation data 21 is calculated to establish the stock price fluctuation curve 72. For example, as shown in Figure 4 and Figure 8, the stock price on June 26, 2012 is equal to the lower limit L1 of the confidence interval 41. This stock price is the stock price low of 51. At this time, investors invest low capital to buy stocks , Until July 18, 2012, the stock price is equal to the upper limit U1 of the confidence interval 41. At this time, the investor sells the stock, so that he can earn the intermediate spread, and the return rate of 61 is 4.3%. Another example is to buy the stock when it reaches the stock price low of 51 on June 13, 2016, and then sell the stock when it reaches the stock price high of 52 on July 11, 2016, with a return of 61 of 1.5%. For another example, the stock was bought when the stock price reached the low point of 51 on August 11, 2017, and then the stock was sold on September 11, 2017, with a return rate of 61 of 3%. The above are only examples, and the present invention is not limited thereto.

Investors can choose different ratios of confidence intervals according to their personal investment habits, the level of investment risk they can bear, and 41. As shown in Figure 4 to Figure 7, the smaller the ratio of confidence interval 41, the smaller the stock price index range of confidence interval 41, so that the easier it is for the stock price to reach the lower limit L1, L2, L3, L4 or upper limit of the confidence interval 41 Values U1, U2, U3, and U4. Based on this, when the investor’s investment timing is assessed at 62, the more frequently investors will buy and sell stocks. This means that investors enter and enter the stock market multiple times. Earn a conservative investment based on a small price difference.

To sum up, the beneficial effect of the present invention is that the present invention provides an investment opportunity evaluation system and method, which can provide investors with funds and investment habits that investors want to invest in the stock market based on individuals. Used to choose different ratios of confidence intervals based on factors such as the frequency of buying and selling, the risk that can be assumed, the expected profit each time, and the rate of return. Appropriate investment timing points in the market assist investors to enter and exit the market steadily.

The content disclosed above is only the preferred and feasible embodiments of the present invention, and does not limit the scope of the patent application of the present invention. Therefore, all equivalent technical changes made using the description and schematic content of the present invention are included in the application of the present invention. Within the scope of the patent.

S101~S129: steps

Claims (2)

An investment timing evaluation system, including: a stock market index record module, configured to obtain a stock market index that has been updated over the years and continuously updated daily to establish a transaction data database; a stock price fluctuation estimation module, connected to the stock market index The record module is configured to calculate a stock price fluctuation data based on the transaction data database and consider the price-to-earning ratio of the stock; a graph construction module is connected to the stock price fluctuation estimation module, and is configured to be based on the stock price fluctuation data. Construct a stock price volatility curve in a graph; a stock market index averaging module, connected to the stock index record module, configured to obtain multiple days of the stock market index within a date range from the transaction data database, and more The sum of the stock market index for each day is divided by the number of days in the date range to calculate an average stock market index that reflects the normal changes in stock prices within the date range; a confidence interval definition module connects the stock market index average The module and the graph construction module are configured to define multiple stock price confidence intervals with 60%, 70%, 80%, and 90% ratios based on the average stock market index, and each stock price confidence interval has an upper limit Value and lower limit value, the multiple stock price confidence intervals of different proportions have different upper limit values and different lower limit values respectively, wherein the smaller the ratio is, the stock price fluctuation of the stock price confidence interval The smaller the range of the stock price of the data, the smaller the difference between the upper limit and the lower limit, the confidence interval definition module is defined in the graph, and the stock price index is equal to or lower than the lower limit of the confidence interval of each stock price. The limit area is defined as a low value area, and the area where the stock price index is equal to or higher than the upper limit of the stock price confidence interval is defined as a high value area; a stock price high and low point evaluation module is connected to the confidence interval definition module The set and the stock price fluctuation estimation module are configured to compare the stock price of the stock price fluctuation curve with the lower limit and the upper limit of the selected stock price confidence interval to determine whether it is equal to or lower than the selected stock price trust The lower limit of the interval and the stock price falling into the low value area is one If the stock price is low, it is judged that it is equal to or higher than the upper limit of the selected stock price confidence interval and the stock price falling in the high value zone is a stock price high; and an investment evaluation module is connected to the stock price high and low evaluation model Group, configure to calculate a rate of return from buying stocks when the stock price is low to selling stocks when the stock price is high, to evaluate whether the time points of the stock price low and the stock price high are respectively buying stocks and The appropriate investment timing for selling stocks; among them, the low value area and the high value area of the stock price confidence interval of 60% account for 40% of the sum of the stock price confidence interval, the low value area and the high value area; Among them, the low value area and the high value area of the stock price confidence interval account for 30% of the sum of the stock price confidence interval, the low value area and the high value area; of which, 80% of the stock price trust The low value area and the high value area of the interval account for 20% of the sum of the stock price confidence interval, the low value area and the high value area; among them, the low value area and the high value area of the stock price confidence interval account for 90% The value area accounts for 10% of the sum of the stock price confidence interval, the low value area and the high value area. For example, the investment timing evaluation system described in item 1 of the scope of patent application, wherein the graph construction module is further configured to construct the graph based on a plurality of the stock market indexes in the transaction data database for multiple days A stock market curve.

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