TWI610264B - Investment commodity relative strength trend determination system - Google Patents

Abstract

The invention discloses a system for determining the relative strength and weakness of investment products. The present invention directly and quickly analyzes and determines the relative strength and weakness of investment products, and quickly calculates the relative strength of an investment product's real-time price during or after the market. When the value change reaches a certain set value of the system, the system will determine a relatively safe sell signal or a relatively safe buy signal; by this, investors can follow the relative strength of the investment product's real-time price and the system's judgment signal to understand the investment product. Relative strength and weakness signals and buying and selling signals can quickly identify buying and selling time and price strength indicators to increase profit opportunities.

Description

Relative strength trend judgment system for investment commodities

The invention is a relatively strong and weak trend determination system for investment commodities, which can provide a relatively safe sell signal or a relatively safe buy signal, so that investors can use it as a reference for decision-making of buying and selling points.

Investing in stocks and their derivative financial products has always been the favorite financial management method of the general public. If you can quickly obtain a stock's ups and downs in a lot of stock information, use the relative strength index of the product to fully understand the product now. The relative strength and weakness, and the correct offer as an investor's buying and selling decision, are absolutely what the average investor expects.

In response to the above requirements, the current KD, RSI and other indicator methods developed by the industry also have certain reference and judgment value; but in terms of statistical probability, the probability of a stock rising to a certain point will be small. At this time, investors are likely to choose the wrong long and short directions, buying and selling prices, and time points, resulting in a decline in investment performance.

Based on this, how to develop a rapid analysis and determination of the relative strength of investment commodities can be presented in a simplified display so that investors can quickly and clearly serve as decision-making reference points for buying and selling points, which are urgently sought by those in the technical field to which they belong. problem.

One category of the present invention is to provide a system for determining the relative strength of investment commodities, which is based on a plurality of transaction data in a stock market database. The plurality of transaction data includes a corresponding stock name, stock code, date, and Price data; the system includes a data acquisition device and a data calculation device; the data acquisition device is coupled with an external stock market database; the data calculation device is coupled with the data acquisition device; the data The computing device includes: a transaction data set, a control instruction, an input device Relative value of the real-time price of an investment product, an arithmetic unit, and an investment product; the transaction data collection of the data computing device is coupled to the data acquisition device, and the data acquisition device retrieves a plurality of transactions from the stock market database Data, and storing the plurality of transaction data in the transaction data set; the control instruction is coupled with the transaction data set, the input device, and the finger calculator; wherein the calculator is generated through an index formula The relative strength value of an investment product's real-time price is represented by R in this indicator formula, and the indicator formula is as follows: R = Kex 〔W 1 ((Pt-Pn1T) ÷ P n1T) + W 2 ((Pt-Pn2T) ÷ P n2T) + W 3 ((Pt-P n3T) ÷ P n3T) + W 4 ((Pt-P n4T) ÷ P n4T) + W 5 ((Pt-P n5T) ÷ P n5T) + W 6 ((Pt-P n6T) ÷ P n6T)]; where Pt is the real-time price of investment commodities; P n1T is the average price of n1 unit time, P n2T is the average price of n2 unit time, and P n3T is n3 unit time average price, P n4T is the average price of n4 unit time, P n5T is the average price of n5 unit time, P n6T is the average price of n6 unit time, of which n6, n5, n4, n3, n2, n1 A positive integer, and n6> n5> n4> n3> n2> n1 ≧ 1; the Kex is the exchange adjustment value, and the exchange adjustment value Kex is due to the maximum fluctuation limit for all different trading days in each region. The adjustments determined; the W1, W2, W3, W4, W5, and W6 are the volatility weights: W1 = (M1-L1) ÷ L1)% × K1

M1 = Max (Dn1T, Dn1T-1, Dn1T-2, ,, Dn1T-299)

L1 = Min (Dn1T, Dn1T-1, Dn1T-2, ,, Dn1T-299)

Among them: Dn1T is the current average price of n1 time units, D n1-1 is the average price of n1 time units in the previous 1 segment, D n1-2 is the average price of n1 time units in the previous 2 segments, and so on By analogy, D n1-299 is the average price of n1 time units in the previous 299 periods. Therefore, M1 is the maximum value in the average price series of n1 time units in 300 segments, and L1 is the average value of n1 time units in 300 segments. The minimum value in the price series, K1 is the weighted value of the investment time strategy of W1, which is based on the fact that different investors have different investments. The different K1 weights assigned by the inter-strategy, according to this W1 is: the average price of n1 time units at a fixed sampling of 300 segments, the ratio of fluctuations between up and down, and then the investment time strategy weighted value K1 is adjusted; W2 = (M2-L2) ÷ L2)% × K2

M2 = Max (Dn2T, Dn2T-1, Dn2T-2, ,, Dn2T-299)

L2 = Min (Dn2T, Dn2T-1, Dn2T-2, ,, Dn2T-299)

Among them: Dn2T is the current average price of n2 time units, D n2-1 is the average price of n2 time units in the previous period, D n2-2 is the average price of n2 time units in the previous period, and so on By analogy, D n2-299 is the average price of the n2 time units in the previous 299 segments. Therefore, M2 is the maximum value in the average price series of the n2 time units in the 300 segments, and L2 is the average value of the n 2 time units in the 300 segments. The minimum value in the price series, K2 is the weighted value of the W2 investment time strategy, which is assigned to different K2 weights according to the different investment time strategies of different investors; accordingly, W2 is: n2 at a fixed sampling of 300 segments The average price of each time unit, the ratio of its fluctuation up and down, and then the adjustment of the investment time strategy weighted value K2; W 3 = (M3-L3) ÷ L3)% × K3

M3 = Max (Dn3T, Dn3T-1, Dn3T-2, ,, Dn3T-299)

L3 = Min (Dn3T, Dn3T-1, Dn3T-2, ,, Dn3T-299)

Among them: Dn3T is the current average price of n3 time units, D n3-1 is the average price of n3 time units in the previous 1 segment, D n3-2 is the average price of n3 time units in the previous 2 segments, and so on By analogy, D n3-299 is the average price of the n3 time units in the previous 299 segments. Therefore, M3 is the maximum value in the average price series of the 300 n3 time units and L3 is the average of the n3 time units in the 300 segments. The minimum value in the price series. K3 is the weighted value of the investment time strategy of W3, which is assigned to different K3 weights according to the different investment time strategies of different investors; accordingly, W3 is: the average price of n3 time units at a fixed sampling of 300 segments, The ratio of the fluctuation of the upper and lower fluctuations is adjusted by the investment time strategy weighting value K3; W 4 = (M4-L4) ÷ L4)% × K4

M4 = Max (Dn4T, Dn4T-1, Dn4T-2, ,, Dn4T-299)

L4 = Min (Dn4T, Dn4T-1, Dn4T-2, ,, Dn4T-299)

Among them: Dn4T is the current average price of n4 time units, D n4-1 is the average price of n4 time units in the previous 1 segment, D n4-2 is the average price of n4 time units in the previous 2 segments, and so on By analogy, D n4-299 is the average price of the n4 time units in the previous 299 segments. Therefore, M4 is the maximum value in the average price series of the n4 time units in the 300 segments, and L4 is the average value of the n4 time units in the 300 segments. The minimum value in the price series, K4 is the weighted value of the investment time strategy of W4, which is assigned to different K4 weights according to the different investment time strategies of different investors; accordingly, W4 is: n4 at a fixed sampling of 300 segments The average price of each time unit, the ratio of its fluctuation up and down, and then the adjustment of the investment time strategy weighted value K4; W 5 = (M5-L5) ÷ L5)% × K5

M5 = Max (Dn5T, Dn5T-1, Dn5T-2, ,, Dn5T-299)

L5 = Min (Dn5T, Dn5T-1, Dn5T-2, ,, Dn5T-299)

Among them: Dn5T is the current average price of n5 time units, D n5-1 is the average price of n5 time units in the previous 1 segment, D n5-2 is the average price of n5 time units in the previous 2 segments, and so on By analogy, D n5-299 is the average price of the n5 time units in the previous 299 segments, so M5 is the maximum value in the average price series of the 300 n5 time units, L5 is the minimum value in the average price series of n5 time units in 300 segments, K5 is the weighted value of the investment time strategy of W5, which is assigned different K5 weights according to different investors' different investment time strategies; accordingly W5 is: the average price of n5 time units with a fixed sampling of 300 segments, and the ratio of fluctuations up and down, and then the adjustment of the investment time strategy weighting value K5; W 6 = (M6-L6) ÷ L6)% × K6

M6 = Max (Dn6T, Dn6T-1, Dn6T-2, ,, Dn6T-299)

L6 = Min (Dn6T, Dn6T-1, Dn6T-2, ,, Dn6T-299)

Among them: Dn6T is the current average price of n6 time units, D n6-1 is the average price of n6 time units in the previous 1 segment, D n6-2 is the average price of n6 time units in the previous 2 segments, and so on By analogy, D n6-299 is the average price of the n6 time units in the previous 299 segments. Therefore, M6 is the maximum value in the average price series of the 300 n6 time units, and L6 is the average of the n6 time units in the 300 segments. The minimum value in the price series, K6 is the weighted value of the investment time strategy of W6, which is assigned to different K6 weights according to the different investment time strategies of different investors; accordingly, W6 is: n6 at a fixed sampling of 300 segments The average price of each time unit, the ratio of its fluctuations up and down, and the adjustment of the investment time strategy weighting value K6; the investor sets or adopts a relatively safe buying and selling area provided by the control instruction (a2, a1), when R ≧ a1, it is judged to be a relatively safe sell signal; when R ≦ a2, it is judged to be a relatively safe buy signal; when a2 <R <a1, it is judged to be a consolidation signal; therefore, according to this The relative strength and weakness of the investment product's real-time price and the relatively safe buying and selling zone (a2, a1). On the strength of the trend.

Among them, the R system falls within the interval [-10,10].

Among them, the relative strength of the real-time price of the investment commodity rises to a1 for the first time in the trading day, which is the relative safe selling price provided by the system. The relative strength of the real-time price of the investment commodity falls for the first time in the trading day to reach The price corresponding to a ₂ is the relative safe purchase price provided by the system.

Among them, the investor adopted the relatively safe buying and selling area (a2, a1) provided by the control instruction. The control instruction compares and statistics the transaction data based on the stocks of the stock code enterprise within a trading period. A strength and weakness sequence table of the past data in the set, to obtain an a1 set when the stock is sold at a relatively safe price, the a1 is the trigger point of the sell signal, and the control instruction compares and counts the past data in the transaction data set. A strength and weakness sequence table of, obtains an a2 set when the stock is relatively safe to buy the price, the a2 is the trigger point of the buy signal.

The foregoing strength and weakness sequence table of historical data refers to the relative strength and weakness of the real-time price of investment commodities obtained in accordance with the indicator formula of the present invention (in the indicator formula) (Represented by R) in the sequence table; the real-time price Pt of the investment product of this indicator formula is the real-time price of each trading day during the trading period at the following points: at the opening, closing, and the highest point of the stock price Time, the lowest point of the stock price, the trigger of the buy point, and the trigger of the sell point; these R values represent the sequence table formed, which can fully represent the R value of all price fluctuation ranges on each trading day; the present invention is According to the distribution of the strength and weakness sequence table during the trading period, the R value of the relatively safe selling price of the stock is compared and calculated, that is, the a1 set above, which is the trigger point of the selling signal and is compared The R value when the stock's relatively safe buying price is calculated through statistics is a2, which is the aforementioned setting, and a2 is the trigger point of the buying signal.

Among them, the relatively safe buying and selling area (a2, a1) set by the investor himself is an input of a relatively safe buying and selling area (a2, a1) set by the investor through the input device. The wider the relatively safe buying and selling area (a2, a1), the greater the opportunity to maintain the original shareholding status. The a1 is the trigger point of the sell signal and the a2 is the trigger point of the buy signal.

The system further includes a display device which is coupled to a computing unit. The display device is used to display the relative strength of the real-time price of the investment product and the relative safe buying and selling area provided by the control instruction (a2, a1 ), The relatively safe buying and selling area (a2, a1) set by the investor himself, and the system provides the relatively safe selling price and the relatively safe buying price.

The display device further displays the plurality of transaction data.

Wherein, in the relatively safe buying and selling area (a2, a1) set by the investor, the display device further displays the sequence data of the past high and low points of the set stock for the investor to set. reference.

Among them, the system further provides a strong buy and sell area (d2, d1), where d1> a1 and d2 <a2, when R ≧ d1, it is determined as a strong sell signal; when R ≦ d2, it is determined as A strong buy signal, in which the relative strength of the investment product's real-time relative strength value rises for the first time in the trading day to the price corresponding to d1, which is the strong selling price provided by the system. The relative strength of the investment product's real-time price The price corresponding to the first drop to d2 is the strong buy price for the system.

Among them, the system further provides an absolute buy and sell area (e2, e1), where e1> d1 and e2 <d2, when R ≧ e1, it is determined as an absolute sell signal; when R ≦ e2, it is determined as Absolute buy signal, in which the relative strength of the real-time price of the investment product rises to e1 for the first time in the trading day, which is the absolute selling price provided by the system. The relative strength of the real-time price of the investment product is within the trading day. The price when the first drop reaches e2 is the absolute purchase price provided by the system.

Among them, the system further provides a long-short position reversal zone (f2, f1), where f1> e1 and f2 <e2, when R ≧ f1, it is determined that the short position is settled and reversed to the long position buy signal ; When R ≦ f2, it is determined that the long position is cleared and reversed to the short position sell signal, where the real-time price of the investment product is relatively strong and weak 23 The price corresponding to the first rise in the trading day to f1, which is provided by the system The judged short position is settled and reversed to the purchase price of the long position, in which the real-time price of the investment product is relatively strong and the value of 23 is the price corresponding to the first fall in the trading day to f2, which provides the system with the judged long position settlement And reverse to the selling price of the short position.

Among them, the relatively safe selling price, the relatively safe buying price, the strong selling price, the strong buying price, the absolute selling price, the absolute buying price, the long position clearing and reversing to the short selling price and The short position is cleared and reversed to the long position. The purchase price is displayed on the display device 30 with different fonts, different text colors, different text sizes, different text thicknesses, or different background color blocks, so that the investment People can quickly and intuitively distinguish between selling and buying opportunities.

Among them, the system is installed in a mobile phone, a stock machine, a tablet computer, a notebook computer, a desktop computer, a connected TV or an Internet of Things device.

In summary, the present invention can provide a number: the relative strength of the real-time price, so that investors know very well the trend of the stock is going up or down, and based on this, make a decision of a buying and selling point and change the relative strength of the real-time price When a certain set value is reached, the system will determine a relatively safe sell signal or a relatively safe buy signal; by this, investors can understand the relative strength trend of investment commodities based on the relative strength of the real-time price and the system's determination signal, and quickly Distinguish the timing of buying and selling and the price strength indicators to increase the chance of profit.

1‧‧‧Investment Commodity Relative Strength Trend Determination System

10‧‧‧ Data Acquisition Device

2‧‧‧Stock Market Database

20‧‧‧Data Computing Device

21‧‧‧Transaction data collection

22‧‧‧ Operator

23‧‧‧ Relative strength of real-time prices of investment commodities

28‧‧‧Control instructions

29‧‧‧ input device

30‧‧‧ display device

FIG. 1 is a functional block diagram illustrating a system for determining the relative strength of a investment product according to the present invention.

Figure 2 is a graph of the relative strength value (R value) of the real-time price of investment commodities and the determination result using the index formula of the present invention.

FIG. 3 is a schematic diagram of a system for determining the relative strength of investment commodities according to the present invention, which can provide more determination signals.

Before further describing the present invention, it should be understood that all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art unless otherwise defined. In addition, the present description in this specification is only one of the many example methods of the present invention. In actual use of the present invention, any method or means similar or equivalent to the method and device described in this specification can be used. Of it. Moreover, one or more of the numbers mentioned in this specification includes the number itself. In addition, if this specification refers to the electrical connection or coupling between a certain A and some B, it actually means that a certain A and some B have energy, data or signal transmission behavior, which is not limited to the actual connection. According to Therefore, all transmission behaviors by means of electric, optical, electromagnetic waves, etc. by wired or wireless means the meaning.

It should also be understood that the word "this" in the description is synonymous with the word "this invention". Moreover, the functions and methods and processes disclosed in this manual are not described in the manual. The order of loading is limited. Unless the manual clearly excludes it, the order of the steps and processes can be adjusted freely depending on the requirements of the user. Furthermore, the proportions between the various elements in the drawings in this specification have been adjusted to maintain the simplicity of the drawings. Therefore, in addition to the instructions in the description, the corresponding sizes, positions, and shapes of the elements in the drawings Are for reference only. Furthermore, without departing from the inventive concept of the present invention, the arrangement of features such as the size, position, and shape of each element can be freely changed depending on the requirements of the user. In addition, considering that the properties of the elements of the present invention are similar to each other, the description and reference numerals between the elements are mutually applicable. The stocks in this specification refer to the right to be traded in the market or its derivative financial products, such as options or warrants, etc., are collectively referred to as stocks. The stock market is the place or means for trading stocks. Furthermore, it should be noted that the components such as devices, modules, and components mentioned in this manual are not limited to hardware that is actually independent of each other. They can also be individually or integrated software or firmware. The way to present it is described first.

The present invention discloses a system for determining the relative strength of investment products. The purpose of the present invention is to provide a number: the relative strength of the investment product's real-time price is relatively clear, so that investors know that the stock is rising or falling, and make a trade accordingly. Point of decision.

Specifically, the principle of the relatively strong and weak trend determination system for investment commodities of the present invention is that, in terms of statistical probability, a stock rises to a certain point, and the chance of rising again is much smaller, so investors can follow the stock price increase. The strength of the rise, that is, the relative strength of the real-time price of the investment product of the present invention, to determine how much force to sell. Similarly, the probability of a stock falling to a lower level is much smaller, so investors can According to the strength of the stock's decline, that is, the relative strength of the instant price of the investment product of the present invention, to determine how much force to buy; the relative strength trend determination system of the investment product of the present invention, that is, to provide a relative safety based on historical data The buying and selling area (a2, a1) allows investors to determine the immediate relative strength of the investment product based on the relative strength and weakness of the investment product and the relatively safe buying and selling area (a2, a1).

The following describes the approximate composition of the relative strength trend determination system for investment commodities of the present invention. One category of the present invention discloses a determination system for performing calculations based on a plurality of transaction data in a stock market database. The transaction data mentioned in Shanghai Development each contain a corresponding time data.

In order to explain the present invention more clearly, please refer to FIG. 1. FIG. 1 is a functional block diagram of the system for determining the relative strength of the investment commodity of the present invention.

One category of the present invention is to provide a system for determining the relative strength of investment commodities, which is used to perform calculations based on a plurality of transaction data in a stock market database 2. The plurality of transaction data each includes a corresponding stock name and stock. Code, date and price data. As can be seen from FIG. 1, the investment product relative strength trend determination system 1 of the present invention includes a data acquisition device 10 and a data operation device 20. The investment product relative strength trend determination system 1 may be provided in In any electronic device, the electronic device may be, for example, a mobile phone, a stock machine, a tablet computer, a notebook computer, a desktop computer, an Internet television, and an Internet of Things device, and is not limited to examples.

The data acquisition device 10 is coupled to an external stock market database 2, the data operation device 20 is coupled to the data acquisition device 10; the data operation device 20 includes a transaction data set 21 and a control instruction 28 , Input device 29, arithmetic unit 22, real-time relative value of investment commodity 23; the transaction data set 21 of the data computing device 20 is coupled to the data acquisition device 10, and the data acquisition device 10 is from the stock market The database 2 automatically retrieves a plurality of transaction data and stores the plurality of transaction data in the transaction data set 21 with a frequency or period or conditions input by the investor; more specifically, the data acquisition device 10 Obtained from an online or offline database that stores stock-related data, according to system preset conditions or conditions entered by investors to retrieve multiple corresponding transaction data; transaction data may include stock code, name, purchase and sale Price, trading time, trading quantity or other: such as delivery time limit or stock type.

After the data acquisition device 10 obtains these transaction data, the transaction data will be stored and recorded in the transaction data set 21 in the data calculation device 20 for subsequent data analysis and processing.

The control instruction 28 is coupled to the transaction data set 21, the input device 29, and the arithmetic unit 22; among them, the arithmetic unit 22 generates an instantaneous price value of an investment commodity by using an index formula. The relative strength of the instant price 23 is represented by R in the indicator formula, and the indicator formula is as follows: R = Kex 〔W 1 ((Pt-Pn1T) ÷ P n1T) + W 2 ((Pt-Pn2T) ÷ P n2T) + W 3 ((Pt-P n3T) ÷ P n3T) + W 4 ((Pt- P n4T) ÷ P n4T) + W 5 ((Pt-P n5T) ÷ P n5T) + W 6 ((Pt-P n6T) ÷ P n6T)] where Pt is the immediate price of the investment product; P n1T is the unit of n1 The average price of time, P n2T is the average price of n2 unit time, P n3T is the average price of n3 unit time, P n4T is the average price of n3 unit time, P n5T is the average price of n5 unit time, and P n6T is n6 unit The average price of time, where n6, n5, n4, n3, n2, and n1 are positive integers, and n6> n5> n4> n3> n2> n1 ≧ 1; this unit of time can be divided into long-term time units and medium-term time units With short-term time units, the long-term time units may be, for example, 7 days, January, etc., the intermediate-term time units may be, for example, 1 hour, 1 day, and the like, and the short-term time units may be, for example, 1 minute, 15 minutes, or 30 minutes.

The Kex is an exchange adjustment value. The exchange adjustment value Kex is an adjustment determined by the maximum fluctuation limit for all different trading days in each region. For example, the US exchange has no maximum fluctuation limit. Therefore, its Kex can be set to 0.75, for example: Taiwan's maximum limit for all transactions is ± 10%, so its Kex can be set to 1; this can reduce the impact of extreme fluctuations.

The W1, W2, W3, W4, W5, and W6 are the volatility weights; the following is further explained: W1 = (M1-L1) ÷ L1)% × K1

M1 = Max (Dn1T, Dn1T-1, Dn1T-2, ,, Dn1T-299)

L1 = Min (Dn1T, Dn1T-1, Dn1T-2, ,, Dn1T-299)

Of which: Dn1T is the current average price of n1 time units

D n1-1 is the average price of n1 time units in the previous paragraph

D n1-2 is the average price of n1 time units in the previous 2 segments

By analogy, D n1-299 is the average price of n1 time units in the previous 299 segments.

Therefore, M1 is the maximum value in the average price series of 300 segments of n1 time units.

L1 is the minimum value in the average price series of 300 segments of n1 time units

K1 is the weighted value of the investment time strategy of W1. It is because different investors have different investment time strategies. For example, investors tend to have long-term investment, medium-term investment, and short-term investment. Therefore, different K ₁ weights are assigned. For example, words, n1 time units to n6, n5, n4, n3, n2, n1 smallest unit of time, if the investor's tendency to short-term investments, is endowed with the right value of K ₁ is large, if the investor's tendency For long-term investment or medium-term investment, K ₁ is given a smaller weight. To sum up, if the investor's tendency is short-term investment, the weights of K ₁ and K ₂ (described later) are assigned to a larger value, and if the investor's tendency is medium-term investment, K ₃ (described later) and K ₄ (described later) has a larger weight value. If the investor's tendency is long-term investment, then K ₅ (described later) and K ₆ (described later) are assigned larger weights such that W ₁ , W ₂ , The volatility weights of W ₃ , W ₄ , W ₅ , and W ₆ can reflect different investment time strategies of investors.

From the above W1 formula, it can be known that W1 is: the average price of n1 time units with a fixed sampling of 300 segments, the ratio of fluctuations (also known as the law of fluctuations), and then the investment time strategy weighted value K1 is adjusted.

Similarly, W2 = (M2-L2) ÷ L2)% × K2

M2 = Max (Dn2T, Dn2T-1, Dn2T-2, ,, Dn2T-299)

L2 = Min (Dn2T, Dn2T-1, Dn2T-2, ,, Dn2T-299)

Of which: Dn2T is the current average price of n2 time units

D n2-1 is the average price of n2 time units in the previous paragraph

D n2-2 is the average price of the n2 time units in the previous 2 segments

By analogy, D n2-299 is the average price of n2 time units in the previous 299 segments

Therefore, M2 is the maximum value in the average price series of 300 segments of n2 time units.

L2 is the minimum value in the average price series of 300 segments of n2 time units

K2 is the weighted value of the W2 investment time strategy, which is assigned to different K2 weights in response to different investors having different investment time strategies.

From the above W2 formula, it can be known that W2 is: the average price of n2 time units with a fixed sampling of 300 segments, the ratio of fluctuations (also known as the law of fluctuations), and then the investment time strategy weighted value K2 is adjusted.

Similarly, W 3 = (M3-L3) ÷ L3)% × K3

M3 = Max (Dn3T, Dn3T-1, Dn3T-2, ,, Dn3T-299)

L3 = Min (Dn3T, Dn3T-1, Dn3T-2, ,, Dn3T-299)

Of which: Dn3T is the current average price of n3 time units

D n3-1 is the average price of n3 time units in the previous paragraph

D n3-2 is the average price of the n3 time units in the previous 2 paragraphs

By analogy, D n3-299 is the average price of the n3 time units of the previous 299 segments.

Therefore, M3 is the maximum value in the average price series of 300 segments of n3 time units.

L3 is the minimum value in the average price series of 300 segments of n3 time units

K3 is the weighted value of W3's investment time strategy, which is assigned different K3 weights in response to different investors' different investment time strategies.

From the above W3 formula, it can be known that W3 is: the average price of n3 time units with a fixed sampling of 300 segments, and the ratio of fluctuations (also known as the law of fluctuations), and then the investment time strategy weighted value K3 is adjusted.

Similarly, W 4 = (M4-L4) ÷ L4)% × K4

M4 = Max (Dn4T, Dn4T-1, Dn4T-2, ,, Dn4T-299)

L4 = Min (Dn4T, Dn4T-1, Dn4T-2, ,, Dn4T-299)

Of which: Dn4T is the current average price of n4 time units

D n4-1 is the average price of n4 time units in the previous paragraph

D n4-2 is the average price of the n4 time units in the previous 2 paragraphs

By analogy, D n4-299 is the average price of n4 time units in the previous 299 segments.

Therefore, M4 is the maximum value in the average price series of 300 segments of n4 time units.

L4 is the minimum value in the average price series of 300 segments of n4 time units

K4 is the weighted value of W4's investment time strategy, which is assigned different K ₄ weights in response to different investors' different investment time strategies.

From the above W4 formula, it can be known that W4 is: the average price of n4 time units with a fixed sampling of 300 segments, the ratio of the fluctuations (also known as the law of fluctuations), and then the investment time strategy weighted value K4 is adjusted.

Similarly, W 5 = (M5-L5) ÷ L5)% × K5

M5 = Max (Dn5T, Dn5T-1, Dn5T-2, ,, Dn5T-299)

L5 = Min (Dn5T, Dn5T-1, Dn5T-2, ,, Dn5T-299)

Of which: Dn5T is the current average price of n5 time units

D n5-1 is the average price of n5 time units in the previous paragraph

D n5-2 is the average price of the n5 time units in the previous 2 paragraphs

By analogy, D n5-299 is the average price of n5 time units in the previous 299 segments.

Therefore, M5 is the maximum value in the average price series of 300 segments of n5 time units.

L5 is the minimum value in the average price series of 300 segments of n5 time units

K5 is the weighted value of W5's investment time strategy, which is assigned different K5 weights in response to different investors' different investment time strategies.

From the above W5 formula, it can be known that W5 is: the average price of n5 time units with a fixed sampling of 300 segments, the ratio of fluctuations (also known as the law of fluctuations), and then the investment time strategy weighted value K5 is adjusted.

Similarly, W 6 = (M6-L6) ÷ L6)% × K6

M6 = Max (Dn6T, Dn6T-1, Dn6T-2, ,, Dn6T-299)

L6 = Min (Dn6T, Dn6T-1, Dn6T-2, ,, Dn6T-299)

Of which: Dn6T is the current average price of n6 time units

D n6-1 is the average price of n6 time units in the previous paragraph

D n6-2 is the average price of the n6 time units in the previous 2 paragraphs

By analogy, D n6-299 is the average price of n6 time units in the previous 299 segments.

Therefore, M6 is the maximum value in the average price series of 300 segments of n6 time units.

L6 is the minimum value in the average price series of 300 segments of n6 time units

K6 is the weighted value of W6's investment time strategy, which is assigned different K6 weights in response to different investors' different investment time strategies.

From the above W6 formula, it can be known that W6 is: the average price of n6 time units with a fixed sampling of 300 segments, the ratio of fluctuations (also known as the law of fluctuations), and then the adjustment of the investment time strategy weighted value K6.

The investor can set or adopt a relatively safe buying and selling area (a2, a1) provided by the control instruction 28. When R ≧ a1, it is determined as a relatively safe selling signal; when R ≦ a2, it is determined It is a relatively safe buying signal; when a2 <R <a1, it is determined as a consolidation signal; by this, the investment can be judged according to the relative strength of the real-time price of the investment commodity 23 and the relatively safe buying and selling area (a2, a1). Relative strength of commodities.

When | R | is larger, it means that the chance of triggering a trading point is greater, and the more and more the deviation of the investment product is more and more obvious, so the chance of a long and short selling point is greater. Conversely, when | R | is smaller, it means a trigger The smaller the chance of buying and selling points, the greater the chance that the investment product will fall into the consolidation phase.

In order to allow investors to quickly and intuitively distinguish between selling and buying opportunities based on the relative strength value 23 of the investment commodity, the present invention can limit the relative strength value 23 (that is, the R value) of the investment commodity to fall within the interval [ -10,10].

Among them, the relative strength of the real-time price of the investment commodity 23 rose for the first time in the trading day to the corresponding price of a1, which is the relative safe selling price provided by the system. Among them, the real-time price of the investment commodity was 23 for the first time in the trading day. When the price reaches a2, the corresponding safe purchase price is provided for the system.

Among them, if the investor adopts the relatively safe buying and selling area (a2, a1) provided by the control instruction, the relatively safe buying and selling area (a2, a1) is controlled by the control instruction 28 according to the stock During the trading period, the stock of the code-named enterprise compares the strength and weakness sequence table of the historical data in the transaction data set 21 to obtain an a ₁ set when the stock is sold at a relatively safe price. The a ₁ is the selling price. The trigger point of the signal. The control instruction compares a sequence of strengths and weaknesses of historical data in the transaction data set to obtain an a ₂ set when the stock is relatively safe to buy. The a ₂ is the buy signal. Trigger point.

The foregoing strength and weakness sequence table of historical data refers to the relative strength value of the real-time price of investment commodities obtained in accordance with the indicator formula of the present invention 23 (in this indicator) during a trading period, which can be selected by investors during the trading period. A sequence table formed by R) in the formula; where the real-time price Pt of the indicator formula is the real-time price of each trading day during the trading period at the following points: at the opening, closing, at the highest point of the stock price, When the stock price is at the lowest point, when the buy point is triggered, and when the sell point is triggered; the sequence table formed by these R values during the trading period can fully represent the R value of all price fluctuation ranges on each trading day; According to the invention, according to the distribution of the strength and weakness sequence table during the trading period, the R value of the relatively safe selling price of the stock is compared and calculated, which is the a1 set above, and the a1 is the trigger point of the selling signal. The R value when the stock is purchased at a relatively safe price through comparison statistics is the a2 set above, which is the trigger point of the buy signal. Among them, the aforementioned limitation on the real-time price of the investment product is relatively strong The weak value of 23 (that is, the R value) falls within the interval [-10,10]. This method, for example, can be taken from the R value in the sequence list formed by the R values during the trading period. R For the largest one, if the R value is positive, adjust the R value to 10; if the R value is negative, adjust the R value to -10, and then according to the ratio adjusted by the R value, in the index formula Multiplying R by the adjusted ratio to make it a new R value, the new R value will all fall within the interval [-10,10].

Among them, the investor of the present invention can set the relatively safe buying and selling area (a2, a1) according to personal risk tolerance, that is, the relatively safe buying and selling area (a2, a1) is owned by the investor Through the input device 29, a relatively safe buying and selling area (a2, a1) set by the user is input. When the relatively safe buying and selling area (a2, a1) is wider, it represents an opportunity to maintain the original stock holding state. The larger the a1 is the trigger point of the sell signal and the a2 is the trigger point of the buy signal.

Figure 2 uses the index formula of the present invention to calculate the real-time relative price 23 (R value) and judgment result of the investment price of an H company's investment products. This picture is based on H company's example, and its relative safe buying and selling The area (a ₂ , a ₁ ) is (-6, 6), where R = Kex [W ₁ ((P _t -P _n1T ) ÷ P _n1T ) + W ₂ ((P _t -P _n2T ) ÷ P _n2T ) + W ₃ ((P _t -P _n3T ) ÷ P _n3T ) + W ₄ ((P _t -P _n4T ) ÷ P _n4T ) + W ₅ ((P _t -P _n5T ) ÷ P _n5T ) + W ₆ (( P _t -P _n6T ) ÷ P _n6T )] In the formula, take Kex = 1, take P _{n1T =} P _5T , P _{n2T =} P _20T , P _{n3T =} P _60T , the time unit is 1 day, and W is omitted ₄ ((P _t -P _n4T ) ÷ P _n4T ), W ₅ ((P _t -P _n5T ) ÷ P _n5T ), W ₆ ((P _t -P _n6T ) ÷ P _n6T ) The 16 trading days listed in Figure 2 are used to calculate the R value of each trading day. After comparing the R value of each trading day with the relatively safe buying and selling area (-6, 6), we can see that the second transaction Its R value is ≦ -6, so it is determined to be a relatively safe buying signal. When the R value is ≦ -6, the trigger point of the buying signal has been reached. Investors can buy investment products relatively safely. The implication is that The decline in investment commodities has deepened on the second trading day. A relatively safe buy and sell zones (a _2, a _1), then the probability of decline has small, so the system determines that the relative security buy signal, to provide recommendations to buy, from the second graph we can see that in the third It has risen in ~ 10 trading days, so if you can buy on the second trading day, you will be profitable. On the other hand, we can see that on the 11th trading day, its R value is ≧ 6, so it is determined to be relatively safe to sell. The output signal, when the R value ≧ 6 has reached the trigger point of the sell signal, the investor can sell the investment product relatively safely. The implication is that the investment product has increased significantly on the 11th trading day, exceeding the relative value. The safe buying and selling area (a2, a1), the chance of further increase is already small, so the system determines that it is a relatively safe selling signal and provides selling recommendations. From Figure 2 we can see that on the 12th to 16th trading days Most of the declines, so if it can be sold on the 11th trading day, it will be profitable; and on the 1st, 3 ~ 10, 12 ~ 16 trading days, its R value falls in the relatively safe buying and selling zone (-6, 6 ), The trigger point for a buy signal or the trigger point for a sell signal has not appeared, indicating that the investment product is in the consolidation phase; as can be seen from this example, The index formula of the present invention, the relative strength value investors can invest in commodities 23 according to the real-time prices, fast and intuitive to distinguish selling buying opportunity.

Furthermore, the system for determining the relative strength of investment products according to the present invention further includes a display device 30 coupled to the computing unit 22. The display device 30 is used to display the relative strength value 23 of the real-time price of investment products. The instructions provide the relatively safe buying and selling areas (a2, a1), the investors' own relatively safe buying and selling areas (a2, a1), and the system provides the judged relatively safe selling prices and relatively safe buying prices.

The display device 30 can further display the plurality of transaction data.

Wherein, when the display device 30 sets the relatively safe buying and selling area (a ₂ , a ₁ ) set by the investor, the display device 30 further displays the sequence data of the past high and low points of the set stock. For the reference of investors for setting.

The display device 30 may also be a touch-sensitive display device. When the display device 30 is a touch-sensitive display device, the display device 30 may also serve as an input device 29.

Figure 3 is a system for determining the relative strength of investment commodities according to the present invention, which can provide more judgment signals. Please refer to Figure 3 at the same time. This system further provides a strong buy and sell area (d2, d1). Where d1> a1 and d2 <a2, when R ≧ d1, it is judged as a strong sell signal; when R ≦ d2, it is judged as a strong buy signal. Among them, the real-time price of the investment product is relatively strong and the value 23 rises for the first time in the trading day. The corresponding price when d1 is reached is the strong selling price provided by the system. The relative strength of the investment product's real-time price 23 falls for the first time within the trading day. The corresponding price when d2 is reached is the strong buy for the system. Into the price.

In addition, the system further provides an absolute buy and sell area (e2, e1), where e1> d1 and e2 <d2, when R ≧ e1, it is determined as an absolute sell signal; when R ≦ e2, it is determined as The absolute buy signal, where the real-time price of the investment product is relatively strong 23, the price corresponding to the first rise in the trading day to e1, which is the absolute selling price provided by the system. The real-time price of the investment product is relatively strong 23 The price corresponding to e2 for the first time in the trading day is the absolute purchase price provided by the system.

Furthermore, the system further provides a long-short position reversal zone (f2, f1), where f1> e1 and f2 <e2, when R ≧ f1, it is determined that the short position is settled and reversed to the long position to buy Signal; when R ≦ f2, it is determined that the long position is cleared and reversed to the short position sell signal, in which the real-time price of the investment product is relatively strong and weak 23 The price corresponding to the first rise in the trading day to f1 is the system Provide the judgment of the short position to settle and reverse the purchase price of the long position, where the relative strength of the investment product's real-time price 23 fell to the price corresponding to f2 for the first time in the trading day, which provides the system with the judgment of the long position. Clearing and reversing the selling price of the short position.

In addition, this system can also provide a more intimate design for investors, that is, the relatively safe selling price, relatively safe buying price, strong selling price, strong buying price, absolute selling price, absolute buying price, long Position cleared and reversed into short position The purchase price of liquidation and reversal into a long position is displayed on the display device 30 with different fonts, different text colors, different text sizes, different text thicknesses, or different background color blocks, so that investors can quickly Intuitively distinguish between sell and buy timings.

The advantage of the present invention is to provide a number: the relative strength of the real-time price allows investors to know the trajectory of the rising or falling trend of the stock, and based on this, make a decision of a buying and selling point, and reach a certain price according to the change of the relative strength of the real-time price. When a value is set, the system will judge a relatively safe sell signal or a relatively safe buy signal; this way, investors can understand the relative strength of investment commodities based on the relative strength of the real-time price and the system's judgment signal, and quickly identify Buying and selling time and price strength indicators increase the chance of profit.

1‧‧‧Investment Commodity Relative Strength Trend Determination System

10‧‧‧ Data Acquisition Device

2‧‧‧Stock Market Database

20‧‧‧Data Computing Device

21‧‧‧Transaction data collection

22‧‧‧ Operator

23‧‧‧ Relative strength of real-time prices of investment commodities

28‧‧‧Control instructions

29‧‧‧ input device

30‧‧‧ display device

Claims (10)

A system for determining the relative strength of investment commodities, based on a plurality of transaction data in a stock market database. The plurality of transaction data includes a corresponding stock name, stock code, date, and price data. The system is based on It includes a data acquisition device and a data operation device. The data acquisition device is coupled to an external stock market database. The data operation device is coupled to the data acquisition device. The data operation device includes: A transaction data set, a control instruction, an input device, an arithmetic unit, and a relatively strong value of the real-time price of an investment product; the transaction data set of the data operation device is coupled to the data acquisition device, and the data acquisition device Retrieving a plurality of transaction data from the stock market database and storing the plurality of transaction data in the transaction data set; the control instruction is coupled to the transaction data set, the input device, and the computing unit; wherein The arithmetic unit generates a relative strength value of an investment commodity in real time through an index formula. Grid value relative strength index represented by R in the formula, the index formula as follows: R = Kex _{[W 1 ((P t -P n1T} ) ÷ P n1T) + W 2 ((P t -P n2T) ÷ P n2T ) + W ₃ ((P _t -P _n3T ) ÷ P _n3T ) + W ₄ ((P _t -P _n4T ) ÷ P _n4T ) + W ₅ ((P _t -P _n5T ) ÷ P _n5T ) + W ₆ ( (P _t -P _n6T ) ÷ P _n6T )]; where P _t is the real-time price of investment goods; P _n1T is the average price of n1 unit time, P _n2T is the average price of n2 unit time, and P _n3T is the n3 unit time Average price, P _n4T is the average price of n4 unit time, P _n5T is the average price of n5 unit time, P _n6T is the average price of n6 unit time, where n6, n5, n4, n3, n2, n1 are positive integers, And n6>n5>n4>n3>n2> n1 ≧ 1; the Kex is the adjusted value of the exchange, and the adjusted value of the exchange Kex is determined by the maximum fluctuation limit for all different trading days in each region. Adjustment; the W ₁ , W ₂ , W ₃ , W ₄ , W ₅ , W ₆ are the volatility weights: W ₁ = (M ₁ -L ₁ ) ÷ L ₁ )% × K ₁ M ₁ = Max (D _{n1T, D n1T-1, D} n1T-2 ,,, D n1T-299) L 1 = Min (D n1T, D n1T-1, D n1T-2 ,,, D n1T-299) _wherein: D n1T currently the average time units of n1, D _n1-1 N1 time units before a segment of the average price, D _n1-2 n1 is a unit of time before the average price of paragraph 2, and so _on, D n1-299 n1 is the average price per unit of time before the section 299, Therefore, M ₁ is the maximum value in the average price series of 300 segments of n1 time units, L ₁ is the minimum value in the average price series of 300 segments of n1 time units, and K ₁ is the weighted investment time strategy of W ₁ Value, which is assigned to different K ₁ weights in response to different investment time strategies of different investors. Based on this, W ₁ is: the average price of n1 time units at a fixed sampling of 300 segments, and the ratio of its fluctuation up and down. , And then adjust the weighting value K ₁ of the investment time strategy; W ₂ = (M ₂ -L ₂ ) ÷ L ₂ )% × K ₂ M ₂ = Max (D _n2T , D _n2T-1 , D _n2T-2 、, , D _n2T-299 ) L ₂ = Min (D _n2T , D _n2T-1 , D _n2T-2 ,, D _n2T-299 ) where: D _n2T is the current average price of n 2 time units, D _n2-1 Is the average price of the n2 time units in the previous paragraph, D _n2-2 is the average price of the n2 time units in the previous paragraph, and so on, D _n2-299 is the average price of the n2 time units in the previous 299 paragraphs Therefore, M ₂ is at 300 units of time period n2 Maxima median number of columns in the, L ₂ is the minimum value in a median 300 period n2 time units of the number of columns in the, K ₂ whom W ₂ investment time policy weight value, which was due to different investors have different investment of time The strategy assigns different K ₂ weights; according to this W ₂ is: at a fixed sampling of 300 segments of the average price of n 2 time units, the ratio of fluctuations up and down, and then the investment time strategy weighted value K ₂ is adjusted; W ₃ = (M ₃ -L ₃ ) ÷ L ₃ )% × K ₃ M ₃ = Max (D _n3T ， D _n3T-1 ， D _n3T-2 、、 D _n3T-299 ) L ₃ = Min (D _n3T , D _n3T-1 , D _n3T-2 , D _n3T-299 ) Among them: D _n3T is the current average price of n3 time units, D _n3-1 is the average price of n3 time units in the previous paragraph, D _n3-2 is the average price of the n3 time units in the previous 2 segments, and so on, D _n3-299 is the average price of the n3 time units in the previous 299 segments, so M ₃ is the n3 time unit in the 300 segments The maximum value of the average price series, L ₃ is the minimum value in the average price series of 300 segments of n3 time units, and K ₃ is the weighted value of the investment time strategy of W ₃ , which is based on the different investments of different investors. Time strategy Weight K _3; W ₃ is accordingly: Median n3 is the fixed sampling time units of 300 segments, the variation ratio which fluctuated, then the weighting value K investment strategy adjustment time of _3; W ₄ = (M ₄ -L ₄ ) ÷ L ₄ )% × K ₄ M ₄ = Max (D _n4T , D _n4T-1 , D _n4T-2 ,, D _n4T-299 ) L ₄ = Min (D _n4T , D _n4T-1 , D _n4T-2 , _Dn4T-299 ) Among them: D _n4T is the current average price of n4 time units, D _n4-1 is the average price of n4 time units in the previous paragraph, and D _n4-2 is The average price of the n4 time units in the previous 2 segments, and so on, D _n4-299 is the average price of the n4 time units in the previous 299 segments, so M ₄ is in the average price series of the n4 time units in the 300 segments The maximum value, L ₄ is the minimum value in the average price series of n4 time units in 300 segments, and K ₄ is the weighted value of the investment time strategy of W ₄ , which is given by different investors with different investment time strategies. Different K ₄ weights; accordingly W ₄ is: the average price of n 4 time units with a fixed sampling of 300 segments, the ratio of fluctuations up and down, and then the investment time strategy weighted value K ₄ is adjusted; W ₅ = ( M ₅ -L ₅ ) ÷ L ₅ )% × K ₅ M ₅ = Max ( D _n5T , D _n5T-1 , D _n5T-2 ,,, D _n5T-299 ) L ₅ = Min (D _n5T , D _n5T-1 , D _n5T-2 ,, D _n5T-299 ) where: D _n5T is currently the average price of the units of time _n5, D n5-1 before the average price for the units 1 n5 time period _of, D n5-2 n5 for the price of one unit of time before the two-stage, and so on, D _{n5 -299} is the average price of n5 time units in the previous 299 segments. Therefore, M ₅ is the maximum value in the average price series of n5 time units in 300 segments, and L ₅ is the average price series of n ₅ time units in 300 segments. Among the minimum values, K ₅ is the weighted value of the investment time strategy of W ₅ , which is assigned different K ₅ weights according to the different investment time strategies of different investors; accordingly, W ₅ is: 300 segments at a fixed sampling The average price of n5 time units, the ratio of fluctuations up and down, and then the adjustment of the investment time strategy weighting value K ₅ ; W ₆ = (M ₆ -L ₆ ) ÷ L ₆ )% × K ₆ M ₆ = Max (D _n6T ， D _n6T-1 ， D _n6T-2 、、、 D _n6T-299 ) L ₆ = Min (D _n6T ， D _n6T-1 ， D _n6T-2 、、 D _n6T-299 ) where: D _n6T currently the average price for the time units of _n6, D n6-1 to 1 before the period of time units of both n6 _, D n6-2 n6 Median time is before 2 units of the segment, and so _on, D n6-299 of n6 Median time units before the period of 299, therefore, M ₆ is 300 in the period of time n6 The maximum value of the average price series of units, L ₆ is the minimum value in the average price series of 300 time segments of n6 time units, and K ₆ is the weighted value of the investment time strategy of W ₆ , which is different according to different investors. The investment time strategy assigns different K ₆ weights; according to this, W ₆ is: the average price of n 6 time units at a fixed sampling of 300 segments, the ratio of fluctuations up and down, and then the investment time strategy weighted value K ₆ Adjustment; The investor sets or adopts a relatively safe buying and selling zone (a ₂ , a ₁ ) provided by the control instruction. When R ≧ a ₁ , it is determined as a relatively safe selling signal; when R ≦ When it is a ₂ , it is judged as a relatively safe buy signal; when a ₂ <R <a ₁ , it is judged as a consolidation signal; by this, the relative strength and weakness of the investment product's real-time price and the relatively safe buying and selling area (a ₂ , a ₁ ) to determine the relative strength of investment commodities. The system for determining the relative strength of investment commodities as described in item 1 of the scope of patent application, wherein the R falls within the interval [-10,10], and the relative strength of the real-time price of the investment commodities rises to a ₁ for the first time within the trading day The price corresponding to the time is the relative safe selling price provided by the system, in which the relative strength of the real-time price of the investment product falls for the first time in the trading day to a ₂ , which provides the system with a relatively safe buying price. Into the price. According to the system for determining the relative strength of investment commodities as described in item 2 of the scope of patent application, wherein the investor adopts the relatively safe buying and selling area (a ₂ , a ₁ ) provided by the control instruction, which is controlled by the control instruction According to the strength and weakness sequence table of the historical data in the transaction data set, the stocks of the stock code company are compared during a trading period, and an a ₁ set when the relative safe selling price of the stock is obtained, where a ₁ is The trigger point of the sell signal. The control instruction compares a sequence of strengths and weaknesses of historical data in the transaction data set to obtain an a ₂ set when the stock is relatively safe to buy. The a ₂ is a buy. The trigger point of the signal; the sequence list of the strength and weakness of the historical data refers to the relative strength of the real-time price of the investment commodity obtained in accordance with the index formula of the present invention ( The sequence table formed by R in the indicator formula; where the real-time price of investment commodities in the indicator formula is the following time points on each trading day during the trading period Price: at the beginning, at the close, at the highest point of the stock price, at the lowest point of the stock price, when the buy point is triggered, when the sell point is triggered; these R values represent a sequence table that can fully represent all prices on each trading day The R value of the fluctuation range of high and low fluctuations; according to the present invention, the R value when the relative safe selling price of the stock is calculated based on the distribution of the strength and weakness sequence table during the trading period, which is the aforementioned setting a ₁ , this is a ₁ sell signals trigger point, and when the value of the ratio R of the statistics derived from the relative safety of the stock purchase price, that is, the aforementioned set a _2, a ₂ as the trigger buy signals. According to the system for determining the relative strength of investment commodities as described in item 3 of the scope of patent application, the relatively safe buying and selling area (a ₂ , a ₁ ) set by the investor himself is input by the investor through the input device A relatively safe buying and selling area (a ₂ , a ₁ ) set by itself, the wider the relatively safe buying and selling area (a ₂ , a ₁ ), the greater the opportunity to maintain the original holding state, The a ₁ is the trigger point of the sell signal, and the a ₂ is the trigger point of the buy signal. The system for determining the relative strength of investment commodities according to item 4 of the scope of patent application, further includes a display device coupled to an arithmetic unit. The display device is used to display the relative strength of the investment product in real time. instructions provided buy and sell relatively safe area (a _2, a _1), the investor himself buy and sell the set relative safety zone (a _2, a _1), the system provides a relatively secure determination selling price and relative safety The purchase price, and the display device further displays the plurality of transaction data. According to the system for determining the relative strength of investment commodities described in item 5 of the scope of patent application, the display device further displays the set value when the relatively safe buying and selling area (a ₂ , a ₁ ) is set by the investor himself. The series of historical highs and lows of stocks are for investors' reference. The system for determining the relative strength of investment commodities as described in item 6 of the scope of patent application, wherein the system further provides a strong buy and sell zone (d ₂ , d ₁ ), where d ₁ > a ₁ and d ₂ <a ₂ , when R ≧ d ₁ , it is determined as a strong sell signal; when R ≦ d ₂ , it is determined as a strong buy signal, where the relative strength of the real-time price of the investment product rises for the first time in the trading day and corresponds to d ₁ The price is the strong selling price provided by the system, where the relative strength of the investment product's real-time relative price decreases for the first time in the trading day to d ₂ , which provides the system with a determined strong buying price. The system for determining the relative strength of investment commodities as described in item 7 of the scope of patent application, wherein the system further provides an absolute buying and selling area (e ₂ , e ₁ ), where e ₁ > d ₁ and e ₂ <d ₂ , when R ≧ e ₁ , it is determined as an absolute sell signal; when R ≦ e ₂ , it is determined as an absolute buy signal, where the relative strength of the real-time price of the investment product rises for the first time in the trading day and corresponds to e ₁ The price is the absolute selling price provided by the system, in which the relative strength of the investment product's real-time price decreases to e ₂ for the first time in the trading day, which provides the system with the determined absolute purchase price. The system for determining the relative strength of investment commodities as described in item 8 of the scope of patent application, wherein the system further provides a long-short position reversal zone (f ₂ , f ₁ ), where f ₁ > e ₁ and f ₂ <e ₂ When R ≧ f ₁ , it is determined that the short position is settled and reversed to the long position buy signal; when R ≦ f ₂ , it is determined that the long position is settled and reversed to the short position sell signal, where the investment The relative strength of the real-time price of the commodity rises for the first time in the trading day to reach the price corresponding to f ₁ , which is to provide the system to determine the short position to settle and reverse to the long position's purchase price, where the real-time price of the investment commodity is relatively strong at The price corresponding to the first fall in the trading day when it reaches f ₂ is the settlement of the long position provided by the system and the reversal to the short position selling price. The investment product relative strength trend determination system described in item 9 of the scope of patent application, which is located in a mobile phone, stock machine, tablet computer, notebook computer, desktop computer, connected TV or Internet of Things device, and the Relatively Safe Selling Price, Relatively Safe Buying Price, Strong Selling Price, Strong Buying Price, Absolute Selling Price, Absolute Buying Price, Liquidation of Long Positions and Reversal to Short Selling Price and Short Positions The purchase price of the liquidation of long positions is displayed on the display device with different fonts, different text colors, different text sizes, different text thicknesses, or different background color blocks, so that investors can quickly and intuitively Distinguish between selling and buying opportunities.