JP2000090150A - Stock price estimation method and device using trend line - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate a stock price with high accuracy, to facilitate the investment to stocks and to secure high economic effects by applying a rule that shows a peak in a fixed period. SOLUTION: A rule showing a peak in a fixed period is prepared to show a peak per month when a fixed period is equal to one month. The peaks are connected together on a peak trend line 2 and the bottoms are connected together on a bottom trend line respectively. The line 2 is a plot of points included in a fixed period continuous from the movement average and accordingly gentle and easily estimated. Thus, the line 2 is continuous to the future and can estimate a stock price with high accuracy. Furthermore, a large movement of a corporation is grasped when a fixed period is defined as one year and the line 2 can estimate the future. Then the factors caused by the accuracy improving processing, the factors of singularity of every corporation and other factors are added to the line 2 to attain the automatic estimation of stock prices in a system using a program.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for predicting a stock price, and more particularly to a technique for predicting a stock price mainly by hand and by computer or other methods.

[0002]

2. Description of the Related Art Conventionally, a general stock price prediction method is based on a subjective extension from a moving average or a stock price weekly price used for stocks. However, there is no highly accurate prediction method.

[0003] It is difficult to guarantee practical use using what is predicted by a subjective extension of the chart of actual results.

[0004]

However, when trying to provide the above-described method for predicting stock prices, there were the following problems.

[0005] That is, in order to establish a system of the above-described stock price prediction method, it is necessary to prepare the data processed in claim 1.

[0006]

In order to achieve the above object, it is possible to determine whether the current stock price is close to a mountain or a valley based on the data processed in claim 1 by the method according to the present invention, and to obtain a high accuracy. You can make predictions.

[0007] When the stock price is predicted by the method according to the present invention, it is possible to judge whether the stock price is near a mountain or a valley, so that a highly accurate prediction can be made. Will be promoted.

[0008]

The stock price prediction method according to the present invention enables more accurate stock price prediction.

As the number of individual investors investing in stocks increases, the method of the present invention can be easily adopted and the accuracy of stock price prediction can be increased, thereby promoting the spread of highly accurate stock price prediction methods.

[0010]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS When a stock price is predicted, the processing of claim 1 is performed to determine whether the stock price is near a mountain or a valley, and a highly accurate prediction is made.

Embodiments of the present invention will be described below in detail with reference to the drawings. The embodiment described below shows an example of a stock price prediction method according to the present invention.

FIG. 1 is a diagram schematically showing the configuration of the present invention and a conventional method. In this figure, reference numeral 1 denotes the result of the processing according to claim 1 of the present invention for predicting stock prices, and the trend line is easily connected earlier than now, and 2 indicates that stock prices are more easily predicted than now and highly accurate. Shows a trend line that can be expressed, 3
Shows the moving average method used for traditional stock price predictions,
From now on, it is a subjective extension, 4 shows the conventional weekly stock price method used for forecasting stock prices, and from now on it is a subjective extension.

FIG. 2 is a diagram conceptually showing a more accurate processing operation of stock price prediction according to the present invention. Adding the factors due to the processing in claim 2, the factors specific to each company, the factors of social affairs, and other factors by adding more accuracy to the trend line to be added from now on, and systematizing the stock price by programmatic system A stock price forecasting method and apparatus, wherein forecasting is automated.

[0013]

As described in detail above, according to the present invention,
The stock price can be predicted with high accuracy, making stock investment easy and bringing great economic effects.

[Brief description of the drawings]

FIG. 1 is a diagram schematically showing a configuration of an embodiment of the present invention in comparison with a current configuration.

FIG. 2 is a diagram schematically showing a process of adding a factor to be added for performing highly accurate prediction by systematization by a program according to an embodiment of the present invention.

[Description of Signs] 1 Stock price processed in claim 1 2 Trend line 3 Moving average 4 Stock price weekly

Claims (3)

[Claims] 1. The stock price fluctuates, and when the Nikkei Stock Average, which represents the entire stock price, drops, the stocks of each company do not drop at all, and the stock prices differ for each company. Is the stock price now a mountain? I do not always know whether it is a valley, but there is a method that can be easily understood in claim 1, and if I know if it is a stock price peak or a valley, the direction of the next valley can be predicted, and a general moving average and The stock price used for stocks is expressed in weekly stock and it is not possible to express whether it is a mountain or a valley, and from the stock price charts so far, the forecast is a subjective extension of the actual result, but it is called one mountain in a certain period When a rule is created and the fixed period is generally one month and the peak is expressed only once a month, the trend line described below makes it easier to predict and the valley is the lowest between the peaks Is easily found, and what connects the mountains connects the trend line of the mountains to the valleys The trend line is a valley trend line, and the trend line is smoother and easier to predict than the moving average because it is a plot of points for a certain period, and thus it is characterized by a rule with one peak in a certain period How to forecast stock prices. 2. When the stock price is forecasted by using all or a part of the method of claim 1 for a certain period of time and representing a year, a large movement of the company can be understood and a large future forecast can be obtained by a trend line. A stock price forecasting method, wherein a large future stock price is forecast for a large fixed period of time. 3. The method according to claim 1, wherein the future is predicted by a trend line based on a rule of one mountain in a predetermined period in a stock price prediction.
In addition to claim 2, a large forecast can be made for a large fixed period of time, adding factors specific to each company, factors of social affairs, and other factors, and increasing the accuracy of stock price forecasting by systematizing with programs A method and apparatus for stock price prediction characterized by being automated.