Operation management system for determining investment speed and investment recovery speed in units of nanoseconds in real time when stock and coin investments are autonomously performed by stock and coin investment-dedicated benevolent generative ai

Abstract

The present invention relates to a stock and coin operation management system in which, by means of an online / offline wired / wireless Internet network, when a stock and coin investment member information device and a stock and coin exchange member information device are used during stock and coin transactions to entrust stock and coin transactions to a stock and coin service provider content server, a stock and coin investment-dedicated benevolent generative AI, linking a nanosecond (ns) unit investment speed technology and a nanosecond (ns) unit investment recovery speed technology, autonomously performs stock and coin transactions through a first-stage to tenth-stage learning module for machine learning, and learns and performs a function of enabling a stock and coin investment member and a stock and coin exchange member to achieve only investment profits without investment loss.

Description

An operational management system dedicated to stock and coin investment, where a benevolent generative AI determines the investment speed and investment recovery speed in nanoseconds in real time when investing in stocks and coins.

[0001] The present invention relates to a system in which a good generative AI dedicated to stock and coin investment manages stock and coin transactions by linking the investment speed in nanoseconds (ns) and the investment recovery speed in nanoseconds (ns) during stock and coin investment transactions, and more specifically, when stock and coin investment members, stock and coin exchange members, etc. make stock and coin transactions, the good generative AI dedicated to stock and coin investment induces stock and coin transactions at the investment speed in nanoseconds (ns) and the investment recovery speed in nanoseconds (ns), thereby,

[0002] Ultimately, it is about an operation management system in which a good generative AI exclusively for stock and coin investment can guide members, stock and coin exchange members, etc. to widely enjoy the benefits of only making investment profits without losing the investment amount, the benefit of not having to worry about the timing of investment and the timing of investment recovery in terms of which stock, how much to invest, and when to sell, the benefit of not even having to study stock and coin investment, the benefit of not even having to acquire information about stock and coin investment items, and the benefit of not having to worry about how to make money through stock and coin investment, and furthermore, it can effectively enjoy the benefits of an increase in birth rate due to an increase in income at a national level, the benefit of a decrease in the vulnerable class due to an increase in income, and the benefit of resolving the gap between the rich and the poor, in which case, when trading stocks and coins, the investment speed and the investment recovery speed are determined in nanoseconds (ns) in real time.

[0003] When investing in stocks and coins, regardless of the investment period, only invest in stocks that are rising compared to the investment time point, and the investment amount stays while it rises at an investment speed of nanoseconds (ns), and then recovers the investment amount at a recovery speed of nanoseconds (ns) at the moment of decline, that is, the technology for investment speed and investment recovery speed of nanoseconds (ns) is possible because, in the past, TSMC foundry semiconductors, Nvidia's GPU graphic semiconductors, SK and Samsung's HBM wide-band RAM semiconductors, etc. were competing in a speed battle of nanoseconds (ns), and in the existing semiconductor industry, not only has 3-nanometer (nm) process technology already been commercialized and produced, but TSMC foundry (contract production) semiconductors are mass-producing 4-nanometer (4 × 1 billionth of a second) level, and recently, China's number one foundry company SMIC succeeded in mass-producing 7-nanometer (7 × 1 billionth of a second) level, and Microsoft is even producing quantum chip semiconductors, so these nano-level AI semiconductors By constructing an AI data center with the server used, and constructing a network with a nanometer (nm) level process data transmission network, a nanosecond (ns) level ultra-low latency advantageous network line, and a nanotechnology-based optical communication network, etc., the program modules of the present invention are operated.

[0004] The present invention is characterized by a technology characterized by a nanosecond (ns) unit investment speed and a nanosecond (ns) unit investment recovery speed technology that satisfies the nanosecond (ns) unit investment speed and nanosecond (ns) unit investment recovery speed technology when trading stocks and coins, which is the core of the present invention, and a good generative AI dedicated to stock and coin investment uses the nanosecond (ns) unit investment speed technology only for stocks that are rising compared to the investment time point without having to analyze the necessary information data about when to invest and the investment period, and uses the nanosecond (ns) unit investment recovery speed technology for stocks that are falling during investment, thereby having the advantage of only making investment profits without investment losses, the advantage of making investment decisions that maximize investment profits regardless of whether to invest in only one stock that is rising a lot or to divide and invest in several stocks and diversify, and the advantage of minimizing investment costs for AI semiconductor servers and AI data centers.

[0005] For example, Korean Patent Registration No. 10-2594204 (Title: Service server for stock investment information graph service and method thereof, recording medium registered on October 23, 2023) and Korean Patent Registration No. 10-2165041 (Title: Stock and commodity investment price prediction system and method using auxiliary indicators registered on October 6, 2020) disclose conventional examples in more detail.

[0006] However, conventional technologies, for example, analyze a lot of investment-related information when investing in stocks and coins, and are investment methods that increase the investment probability through a lot of information analysis learning, but <investment methods that increase the investment probability through a lot of data analysis do not have a 100% probability, so there is a disadvantage that investment losses follow>, <due to a lot of data analysis learning, data centers are built with many semiconductor-using servers, which requires a lot of investment>, <due to a lot of data analysis learning, there is a disadvantage that there are a lot of operating costs, etc. due to a lot of power consumption>, <due to a lot of power consumption, there is a disadvantage that carbon-neutral environmental problems arise>, etc. Therefore, unless separate measures are taken, these cannot be satisfied, and in the future, even when investing in stocks and coins, there are bound to be many difficulties due to problems such as investment losses and operating costs.

[0007] Therefore, the purpose of the present invention is to subdivide the 10-step learning module of the good generative AI dedicated to stock and coin investment into machine learning (machine learning) to maximize investment returns and safely without investment losses when trading stocks and coins under the online / offline communication infrastructure such as stock and coin investment member information devices and stock and coin exchange member information devices: <Step 1, a learning module to understand the investment deposit balance of investor members>, <Step 2, a learning module to invest only in stocks that are rising compared to the investment time by stock and coin investment country at an investment speed of nanoseconds>, ​​<Step 3, a learning module to stay in stocks that are rising during investment for a long time>, <Step 4, a learning module to recover the investment amount at an investment recovery speed of nanoseconds for stocks that are falling during investment>, <Step 5, a learning module to not invest in stocks that are falling compared to the stock and coin investment time>, <Step 6, to determine whether to invest only in one stock that is rising a lot or to diversify investments in several places to maximize investment returns. <Step 7: Learning module to compare and decide in nanoseconds (ns)>, <Step 8: Learning module to identify and separate countries and items where stocks and coins rise and fall>, <Step 9: Learning module to adjust investment returns only up to a certain amount when investing in stocks and coins>, <Step 10: Learning module to create new modules on its own without a separate coding process by a good generative AI dedicated to stock and coin investment in addition to the modules in Steps 1 to 9>, etc. are systematically arranged and provided, and through this, stock and coin investment members and stock and coin exchange members are guided to only earn investment returns without investment losses when trading stocks and coins, ultimately, in the case of South Korea, approximately 12 million people who invest in stocks and 15 million people who invest in coins are guided to effectively form assets, and at the national level, the effect of blocking wealth concentration,It is to guide people to effectively enjoy the effects of reducing the gap between rich and poor.

[0008] Other objects of the present invention will become more apparent from the following detailed description and the accompanying drawings.

[0009] In order to achieve the above purpose, in the present invention, a good generative AI dedicated to stock and coin investment communicates in real time with a stock and coin investment member information device, a stock and coin exchange member information device, a stock and coin service provider content server, a stock and coin dedicated bank server, and an AI data center through a wired / wireless online network, and in a system that operates and manages stock and coin transactions by linking the investment speed in nanoseconds (ns) and the investment recovery speed in nanoseconds (ns) during stock and coin transactions.

[0010] In order for stock and coin investment members and stock and coin exchange members to maximize investment returns without investment losses, the machine learning module of the good generative AI dedicated to stock and coin investment is subdivided into: <Step 1, a learning module that identifies the investment deposit balance of investor members>, <Step 2, a learning module that invests only in stocks that are rising compared to the investment time by stock and coin investment country at an investment speed of nanoseconds>, ​​<Step 3, a learning module that stays in stocks that are rising during investment for a long time>, <Step 4, a learning module that recovers the investment amount at an investment recovery speed of nanoseconds for stocks that are falling during investment>, <Step 5, a learning module that does not invest in stocks that are falling compared to the stock and coin investment time>, <Step 6, a learning module that compares and decides in nanoseconds whether to invest only in one stock that is rising a lot or to diversify investments in several places to maximize investment returns>, <Step 7, a learning module that identifies and separates stocks and coins that are rising well and those that are not rising well by country and stock <Step 8, Learning module linked to birth rate, vulnerable groups, etc. when investing in stocks and coins>, <Step 9, Learning module that adjusts investment returns to a certain amount when investing in stocks and coins>, <Step 10, Learning module in which a good generative AI dedicated to stock and coin investment creates a new module on its own without a separate coding process in addition to the modules in steps 1 to 9>, an operation management system is launched in which a good generative AI dedicated to stock and coin investment determines the investment speed and the investment recovery speed in nanoseconds (ns) in real time when investing in stocks and coins.

[0011] Due to the present invention, the first effect, <Step 1, Learning module for understanding the investment deposit balance of investor members>, has the effect of making money regardless of the investment deposit balance, whether it is in units of one thousand won, ten thousand won, ten hundred thousand won, or one million won.

[0012] The second effect, <Step 2, Learning module that invests only in stocks that are rising compared to the investment time by stock and coin investment country with an investment speed of nanoseconds (ns)>, has the effect of not investing in stocks and coins that do not generate investment returns.

[0013] The third effect, <Step 3, Learning module to stay in rising stocks for a long time during investment>, has the effect of maximizing investment returns by allowing investment amounts to stay in rising stocks for a long time.

[0014] The fourth effect, <Step 4, Learning module that recovers investment amount at a rate of return in nanoseconds (ns) for stocks that are dropped during investment>, has the effect of maximizing investment returns without investment losses by recovering investment amount at a rate of return in nanoseconds (ns) for stocks that are dropped during investment.

[0015] The fifth effect, <Step 5, Learning module that does not invest in stocks that fall in nanoseconds (ns) compared to the time of stock and coin investment>, has the effect of increasing investment profits without investment losses by not investing in falling stocks at all.

[0016] The sixth effect, <Step 6, a learning module that compares and decides in nanoseconds whether to invest in only one stock that is rising a lot to maximize investment returns or to diversify investments in several stocks>, has the effect of maximizing investment returns by having a good generative AI dedicated to stock and coin investment learn to make investment decisions in a way that maximizes investment returns.

[0017] The seventh effect, <Step 7: Learning Module to Identify and Separate Countries and Stocks Where Stocks and Coins Are Rising and Where They Are Not>, maximizes investment returns by not investing in countries or stocks that are not rising.

[0018] The eighth effect, <Step 8. Learning module linked to birth rate, vulnerable groups, etc. when investing in stocks and coins>, has the effect of providing welfare through the invention system without paying taxes if a baby is born or if the person is from a vulnerable group.

[0019] The ninth effect, <Step 9. Learning module that adjusts investment returns to a certain amount when investing in stocks and coins>, has the effect of preventing you from earning too much money while living off of work.

[0020] The tenth effect, <Step 10, in addition to the modules from Steps 1 to 9 above, a learning module that creates new modules on its own without a separate coding process by a good generative AI dedicated to stock and coin investment>, will help approximately 12 million people who invest in stocks and 15 million people who invest in coins effectively build wealth, as it will have the effect of maximizing investment returns when investing in stocks and coins in the future. Furthermore, at the national level, it will be possible to effectively enjoy the effects of blocking wealth concentration, increasing the birth rate, and eliminating the vulnerable class.

[0021] Figure 1 is a conceptual diagram illustrating an operational management system in which a dedicated stock and coin investment generative AI performs machine learning on a 10-step learning module and determines the investment speed and investment recovery speed in real-time nanosecond (ns) units during stock and coin investment transactions according to the present invention.

[0022] Figure 2 is an exemplary diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which monitors after performing machine learning on a learning module that determines the investment deposit balance of an investor member in the first step.

[0023] Figure 3 is an example diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which monitors after performing machine learning on a learning module that invests only in stocks that are rising compared to the investment time point by stock and coin investment country at an investment speed of nanoseconds (ns).

[0024] Figure 4 is an exemplary diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which monitors after performing machine learning on a learning module that allows the investment to stay on rising stocks for a long time.

[0025] Figure 5 is an example diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which monitors the learning module that recovers investments at a speed of investment recovery in nanoseconds (ns) after performing machine learning on the stocks selected during investment in step 4.

[0026] Figure 6 is an example diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which monitors after machine learning a learning module that does not invest in stocks that are likely to decline in nanoseconds (ns) compared to the time of stock and coin investment.

[0027] Figure 7 is an example diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which performs machine learning (machine learning) and then monitors a learning module that compares and determines in nanoseconds (ns) whether to invest in only one stock that is rising a lot to maximize investment returns or to diversify investments in several stocks.

[0028] Figure 8 is an example diagram conceptually illustrating a detailed functional execution procedure of a learning module that identifies and separates stocks and coins by country and item, which are rising and which are not, by machine learning and then monitors them, in 7 steps, by a good generative AI dedicated to stock and coin investment according to the present invention.

[0029] Figure 9 is an exemplary diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which monitors after performing machine learning on a learning module that links birth rate, vulnerable groups, etc. when investing in stocks and coins in 8 steps.

[0030] Figure 10 is an exemplary diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, which performs machine learning and then monitors a learning module that adjusts the investment return to a certain amount when investing in stocks and coins in 9 steps.

[0031] Figure 11 is an example diagram conceptually illustrating a detailed functional execution procedure of a good generative AI dedicated to stock and coin investment according to the present invention, in which a learning module that creates a new module on its own without a separate coding process other than the modules in steps 1 to 9 above, performs machine learning and then monitors the learning module.

[0032] Hereinafter, with reference to the attached drawings, the operation management system in which the good generative AI dedicated to stock and coin investment according to the present invention performs machine learning on a 10-step module and then determines the real-time nanosecond (ns) unit investment speed and nanosecond (ns) unit investment recovery speed on its own will be described in more detail as follows.

[0033] As illustrated in FIG. 1, during stock and coin trading according to the present invention, the AI ​​data center (60) that builds the information devices of stock and coin investment members (20), the information devices of stock and coin exchange members (30), the content server (40) of stock and coin investment service providers, and the coin-only bank server (50) communicate in real time with the good generative AI (70) dedicated to stock and coin investment, and when performing stock and coin investment trading, the 10-step machine learning modules are as follows: Step 1, a learning module (1a) that determines the investment deposit balance of an investor member; Step 2, a learning module (2a) that invests only in stocks that are rising compared to the investment time point by stock and coin investment country at an investment speed of nanoseconds (ns), and Step 3, a learning module (3a) that allows investment to remain in stocks that are rising for a long time. Step 4, a learning module (4a) that recovers the investment amount at a speed of investment recovery in nanoseconds (ns) for stocks that fall during investment; Step 5, a learning module (5a) that does not invest in stocks that fall in nanoseconds (ns) compared to the time of stock and coin investment; Step 6, a learning module (6a) that compares and decides in nanoseconds (ns) whether to invest only in one stock that is rising a lot to maximize investment returns or to diversify investments in several stocks; Step 7, a learning module (7a) that identifies and separates stocks and coins by country and stock that are rising well and those that are not; Step 8, a learning module (8a) that links with birth rates, vulnerable groups, etc. when investing in stocks and coins; Step 9, a learning module (9a) that adjusts investment returns to a certain amount when investing in stocks and coins; Step 10, in addition to the modules in Steps 1 to 9, a learning module (10a) that creates a new module on its own without a separate coding process by a good generative AI dedicated to stock and coin investment, and an operating information storage module (11b);When performing stock and coin investment transactions, which feature search support modules (12b) for investment countries, investment items, and investment returns, a good generative AI (70) dedicated to stock and coin investment initiates an operating system with an investment speed in nanoseconds (ns) and an investment recovery speed in nanoseconds (ns).

[0034] As illustrated in FIG. 2, in the first step according to the present invention, a learning module (1a) for determining the investment deposit balance of an investor member checks the investment deposit balance in the stock and coin exclusive bank account of a stock and coin investment member (20) and a stock and coin exchange member (30) through a stock and coin exclusive bank server (50), and if there is a balance regardless of the balance amount, such as 1,000 won, 100,000 won, or 1 million won, a stock and coin investment transaction is started, the investment amount is withdrawn, and the investment profit is deposited (for example, just like in the past, a salary is automatically deposited through a bank account, an installment is automatically withdrawn, and at the same time, the account transaction is recorded in the bank account by date, amount, item, country, etc.). The good generative AI (70) exclusively for stock and coin investment learns and independently performs the function.

[0035] As illustrated in Figure 3, the second step according to the present invention. A learning module (2a) that invests only in stocks that are rising compared to the investment time point for each stock and coin investment country at an investment speed of nanoseconds (ns), selectively identifies only stocks that are rising at the investment time point for each country in real time at nanoseconds (ns), selects them as investment targets, and then invests at an investment speed of nanoseconds (ns) to maximize investment returns. This function is learned and independently performed by a good generative AI (70) dedicated to stock and coin investment.

[0036] As illustrated in FIG. 4, in the third step according to the present invention, a learning module (3a) that allows you to stay in a rising stock for a long time during investment, when the stock or coin is rising during investment, the function of maximizing investment returns by allowing the investment amount to remain in the investment stock is learned and independently performed by a good generative AI (70) dedicated to stock and coin investment.

[0037] As shown in FIG. 5, in the fourth step according to the present invention, the stocks that are dropped during investment are recovered by a learning module (4a) that recovers the investment amount at a speed of investment recovery in nanoseconds (ns), and the stocks that are dropped during stock and coin investment are recovered at a speed of investment recovery in nanoseconds (ns) and then deposited into a bank account, thereby maximizing the investment return without loss of the investment amount. The good generative AI (70) dedicated to stock and coin investment learns and independently performs this function.

[0038] As illustrated in FIG. 6, the learning module (5a) that does not invest in stocks that fall in nanoseconds (ns) compared to the investment timing of stocks and coins according to the present invention, identifies stocks that fall in nanoseconds (ns) in real time for each country at the investment timing, and maximizes investment returns without investment losses by not investing in falling stocks at all. This function is learned and independently performed by a good generative AI (70) dedicated to stock and coin investment.

[0039] As illustrated in FIG. 7, the learning module (6a) that compares and decides in nanoseconds (ns) whether to invest in only one stock that is rising a lot in order to maximize investment returns according to the present invention, as in step 6, or whether to invest in multiple stocks by diversifying investments, for example, among the IT industries, whether to invest in one Nvidia AI semiconductor stock with a large return on investment, or whether to invest in multiple home appliance stocks such as TVs and AI refrigerators with a small return on investment, is characterized in that the good generative AI (70) dedicated to stock and coin investment learns and independently performs the function of deciding in nanoseconds (ns) which one has a larger real-time return on investment.

[0040] As illustrated in FIG. 8, the learning module (7a) that identifies and separates countries and items in which stocks and coins rise well and those that do not rise well according to the 7th step of the present invention, countries in which stocks and coins rise well (e.g., the United States, etc.) and countries in which stocks and coins do not rise well (e.g., Korea, etc.), and items in which stocks and coins rise well and those that do not rise well, after identifying and classifying them for a certain period of time, performs a function in which a good generative AI (70) dedicated to stock and coin investment learns and independently performs a function of not applying the nanosecond (ns) unit investment speed technology and the nanosecond (ns) unit investment recovery speed technology to the countries and items in which stocks and coins do not rise well in order to maximize investment returns.

[0041] As illustrated in FIG. 9, in the 8th step according to the present invention, when investing in stocks and coins, a learning module (8a) that links birth rate, vulnerable groups, etc., for example, in the case of a baby being born, documents required for reporting birth and vulnerable groups are submitted and verified through a content server (40) of a stock and coin investment service provider, and by allowing the use of the system app program of the present invention free of charge and supporting a certain amount, so that in the case of giving birth to a baby without paying taxes (for example, support amounts are applied differently depending on whether there are 1 or 2 children), birth welfare benefits can be provided, and also, in the case of a vulnerable group (for example, support for monthly living expenses, etc.), the function of allowing the vulnerable group to receive free support without paying taxes, thereby preventing wealth concentration, is learned and independently performed by a good generative AI (70) dedicated to stock and coin investment.

[0042] As shown in Fig. 10, in the 9th step according to the present invention, when investing in stocks and coins, a learning module (9a) adjusts the investment return to a certain amount, so that the investment cannot be made more than a certain amount in order to prevent people from just playing around and making money through stock and coin investment without working, and a good generative AI (70) dedicated to stock and coin investment learns and independently performs a function characterized by the adjustment.

[0043] As illustrated in FIG. 11, in addition to the 10 steps and the 1 to 9 steps modules according to the present invention, the good generative AI for stock and coin investment creates a new module on its own without a separate coding process, and the good generative AI (70) for stock and coin investment directly questions and answers with stock and coin investment members (20) and stock and coin exchange members (30) in the content server (30) of the stock and coin investment service provider, that is, learns what is needed and what needs to be improved, and then proactively and quickly creates improvement items that are suitable for the changing times on its own without a separate coding process. The good generative AI (70) for stock and coin investment learns and independently performs the function.

[0044] 200: An operational management interface system that monitors 17-step learning modules in real time using a kind, generative AI dedicated to stock and coin investment.

[0045] 10: Wired / wireless online network.

[0046] 20: Stock and Coin Investment Member

[0047] 30: Stock and Coin Exchange Member

[0048] 40: Stock and Coin Service Provider Content Server

[0049] 50: Dedicated stock and coin bank server

[0050] 60: AI Data Center

[0051] 70: A good generative AI dedicated to stocks and coins

[0052] 1a: Step 1: Learning module for understanding the investment deposit balance of investor members.

[0053] 2a: Step 2. A learning module that focuses on stocks and coins that are rising in value relative to the investment timeline by country and sector, investing at a speed of nanoseconds (ns).

[0054] 3a: Step 3: A learning module that teaches you to stay in rising stocks for a long time during your investment.

[0055] 4a: Step 4. Step 4: A learning module that recovers investment amounts at a rate of return in nanoseconds (ns) for stocks selected during investment.

[0056] 5a: Step 5, a learning module that does not invest in stocks that fall in nanoseconds (ns) compared to the time of stock and coin investment.

[0057] 6a: Step 6: A learning module that compares and decides in nanoseconds whether to invest in a single, rapidly rising stock or diversify investments across multiple stocks to maximize investment returns.

[0058] 7a: Step 7: A learning module that identifies and separates stocks and coins by country and sector, which are rising and which are not.

[0059] 8a: Step 8, a learning module that links stock and coin investments with birth rates, vulnerable groups, etc.

[0060] 9a: Step 9: A learning module that adjusts investment returns to a certain amount when investing in stocks and coins.

[0061] 10a: Step 10, in addition to the modules from Steps 1 to 9 above, a learning module in which a good generative AI dedicated to stock and coin investment creates new modules on its own without a separate coding process.

[0062] 11b: Operational Information Storage Module

[0063] 12b: Search module for investment countries, investment products, and investment returns.

[0064] The present invention relates to a stock and coin investment management system, which allows stock and coin investment members, stock and coin exchange members, etc. to only earn investment returns without losing their investment amount by linking the nanosecond (ns) unit investment speed and the nanosecond (ns) unit investment recovery speed when performing stock and coin investment transactions, and thereby effectively enjoy the benefits of an increase in birth rate due to increased income, a benefit of a decrease in the number of vulnerable classes due to increased income, and a benefit of a reduction in the gap between the rich and the poor due to increased income, not only for individual households but also for industries and the nation.

Claims

1. In a system that establishes real-time communication with AI data centers that build stock and coin investment member information devices, stock and coin exchange member information devices, stock and coin service provider content servers, and stock and coin-only bank servers through wired and wireless online networks online and offline, when stock and coin investment members and stock and coin exchange members engage in stock and coin trading, a good generative AI dedicated to stock and coin investment, on behalf of stock and coin investment members and stock and coin exchange members, trades and manages stocks and coins on its own by linking the investment speed in nanoseconds (ns) and the investment recovery speed in nanoseconds (ns) as a means to increase only investment profits without investment losses, Here are the 10 machine learning modules of this benevolent generative AI dedicated to stock and coin investment: Step 1: A learning module that determines the investment deposit balance of each investor member. Step 2: A learning module that invests only in stocks that are expected to rise relative to the investment time by country and stock. Step 3: A learning module that focuses on stocks that are expected to rise during investment, with an investment speed of nanoseconds. Step 4: A learning module that encourages long-term investment in stocks that are expected to rise. A learning module that recovers the investment amount at a speed of return on investment in nanoseconds (ns) for stocks that fall during investment, step 5, a learning module that does not invest in stocks that fall in nanoseconds (ns) compared to the time of stock and coin investment, step 6, a learning module that compares and decides in nanoseconds (ns) whether to invest only in one stock that is rising a lot to maximize investment returns or to diversify investments in several stocks, step 7, a learning module that identifies and separates stocks and coins by country and stock, step 8, a learning module that links stock and coin investment to factors such as birth rate and vulnerable groups, step 9, a learning module that adjusts stock and coin investment returns to a certain amount, step 10. In addition to the modules in steps 1 to 9, a stock and coin operation management system characterized by the function of a good generative AI dedicated to stock and coin investment learning and independently performing, including a learning module that creates new modules on its own without a separate coding process.

2. In claim 1, a good generative AI dedicated to stock and coin investment, as a learning module for determining the investment deposit balance of investor members in the first step, checks the investment deposit balance of stock and coin investment members and stock and coin exchange members through a stock and coin dedicated bank server, and if there is a balance regardless of the balance amount such as 1,000 won, 10,000 won, 1 million won, etc., withdraws the investment amount, initiates stock and coin investment transactions, and learns and independently performs the function of depositing investment profits (e.g., recording transaction activities by date, amount, item, country, etc. in a bankbook account).

3. In claim 1, a good generative AI dedicated to stock and coin investment, a learning module that invests only in stocks that are rising compared to the investment time point by country and stock in step 2. A stock and coin operation management system characterized by the function of independently learning and executing the function of maximizing investment returns by selectively identifying only stocks that are rising in real time by country and stock in nanoseconds (ns) and investing in them at a speed of nanoseconds (ns).

4. A stock and coin operation management system characterized in that, in claim 1, a good generative AI dedicated to stock and coin investment learns and independently performs a function of maximizing investment returns by ensuring that the investment amount remains in the investment item when the stock or coin price is rising during investment, by having a learning module that allows the investment to remain for a long time in the stock or coin price during investment.

5. In claim 1, a stock and coin operation management system characterized in that the good generative AI dedicated to stock and coin investment learns and independently performs the function of maximizing investment returns without loss of investment amount by having the stocks selected during investment recover the investment amount at a speed of investment recovery in nanoseconds (ns) and then depositing the investment amount into a bank account after selecting the stocks selected during investment.

6. In claim 1, a stock and coin operation management system characterized in that the good generative AI dedicated to stock and coin investment learns and independently performs the function of not investing in stocks that are falling in nanoseconds (ns) compared to the time of stock and coin investment in 5 stages, by identifying stocks in real time in nanoseconds (ns) for each country and stock at the time of investment, and not investing in stocks that are falling at all, thereby maximizing investment returns without investment losses.

7. A stock and coin operation management system characterized in that, in claim 1, a good generative AI dedicated to stock and coin investment learns and independently performs a function of comparing and deciding in nanoseconds (ns) whether to invest in only one stock that is rising a lot in order to maximize investment returns, or to diversify investments in several stocks, in real time, between cases where a single stock has risen a lot and the investment returns are large, and cases where the investment returns are not large even after diversifying investments in several stocks, and deciding in the direction of greater investment returns.

8. In claim 1, a good generative AI dedicated to stock and coin investment, a learning module that identifies and separates countries and stocks where stocks and coins rise well and those where they do not rise well, at regular intervals, countries where stocks and coins rise well and those where they do not rise well, and stocks where stocks and coins rise well and those where they do not rise well, and then learns and independently performs a function that does not apply nanosecond (ns) unit investment speed technology and nanosecond (ns) unit investment recovery speed technology to countries and stocks where stocks and coins do not rise well in order to maximize investment returns.

9. A stock and coin operation management system characterized in that in claim 1, a good generative AI dedicated to stock and coin investment learns and independently performs a function of linking the birth rate, vulnerable class, etc., when investing in stocks and coins, in step 8, by linking the case of having given birth to a baby or being in a vulnerable class, and supporting the earning of money up to a certain amount by using the system app program of the present invention for free, thereby enabling the provision of birth welfare benefits in the case of having given birth to a baby without having to pay taxes, and also enabling the provision of welfare benefits that block wealth concentration by supporting the vulnerable class for free without having to pay taxes even in the case of being in a vulnerable class.

10. In claim 1, a stock and coin operation management system characterized in that the good generative AI dedicated to stock and coin investment learns and independently performs the function of adjusting the amount of money earned to a certain amount in order to prevent the user from making money through stock and coin investment without working, by adjusting the amount of money earned to a certain amount as a learning module that adjusts the amount of money earned to a certain amount in order to prevent the user from making money through stock and coin investment without working.

11. In claim 1, a stock and coin investment-specific good generative AI, in addition to the step 10 modules from steps 1 to 9, is a learning module that creates a new module on its own without a separate coding process, and the stock and coin investment-specific good generative AI learns and independently performs the function of preemptively and quickly creating improvement items that are suitable for changes in the times on its own without a separate coding process, based on direct question-and-answer communication with stock and coin investment members and stock and coin exchange members on the stock and coin investment service provider content server.

12. A stock and coin operation management system characterized by a function in which a good generative AI dedicated to stock and coin investment learns and independently performs the function of utilizing the nanosecond (ns) unit investment speed technology and the nanosecond (ns) unit investment recovery speed technology of the present invention for bond trading (e.g., government bonds, local bonds, special bonds, corporate bonds, financial bonds, etc.), auction trading, ticket trading, etc.

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