FIELD OF THE INVENTION
The present invention relates to a system and method for intelligent trading, more specifically the present invention relates to a system of the intelligent trading with self-learning technique.
BACKGROUND OF THE INVENTION
Financial management is often a troublesome task. Investing and its due diligence, is usually left to a professional, such as a broker or a financial advisor. In fact, this is what is often done when it comes to one's personal finances. However, the delegation of such important responsibilities can often be detrimental to the investor's financial account, as these various trustees often make mistakes, which often costs the investor money. Though, most of the security companies provide electronic stock ordering systems on the Internet. However, almost all the ordering systems need to be operated manually by the investors during the transaction time. In addition, investors may keep a different attitude about risk-pursuing or risk-avoiding in stock investment. Generally, an investor decides to make stock transactions, and the amount and price thereof, according to the results of news analysis, such as technical, financial and political news. But there is risk of error and only experience investor is to able to make precise sentimental analysis. Thus new investor need to higher experience investor for trading, that ultimately leads to higher cost brokerage commission. Also there is risk of human error. For thattrading through programmed software is useful and cost effective.
US20020077950A1 discloses an artificial intellectual stock ordering system and method suited to a stock ordering process, comprising an input unit for inputting transaction conditions; an ordering computer coupled with the input unit, receiving the transaction conditions, and retrieving, analyzing and classifying a news document, assigning the news document with a grade, and outputting stock ordering information for ordering a stock

purchase or sale, while the transaction conditions are matched and the grade is larger than a high value, or while the transaction conditions are matched and the grade is smaller than a low value; an electronic news computer connected to the ordering computer through a first network suited to provide the news document; and a security company computer connected to the ordering computer through a second network suited to receive the stock ordering information to buy or sell a stock.
US2017301015 (Al) discloses he present invention consists of a trading system and methods of such that allow a user to easily build trading systems and trading strategies within the trading system, that automatically trade financial tradeable assets across financial markets. Through a graphical user interface (GUI), the user is given control to build, modify, replace, and/or execute trading strategies and trading systems. Within the present invention, methods are also disclosed wherein an Al (artificial intelligence system) performs these actions.
In the prior art, the existing invention suffers a lot of disadvantages and the existing invention was time consuming, manual processes across services & functions limiting the ability to expand. While several platforms do exist that define a trading algorithm but they are often too complicated for the user to use. The existing invention only depends on single factor to predict stock prices. Thus the need to make a modified system that can overcome all the limitations of the prior art techniques.
OBJECTIVE
The main objective of the present invention is to provide highly intelligenttrading system. Another objective of the present invention is that present invention to have self-learning capabilities from the data extracted from internet.
Yet another objective of the present invention is to provide such a system that is operationally effective, cost-effective, easy to operate and/or use and maintenance-free. Yet another objective of the invention is to generate orders as soon as trade criteria are met. Yet another objective of the invention is to reduce transaction cost of hiring trading agent. Yet another objective of the invention is to reduce probability error and wrong prediction.

Yet another objective of the invention is to use multiple factors to calculate the stock
prices.
Further objectives, advantages, and features of the present invention will become apparent
from the detailed description provided herein below, in which various embodiments of the
disclosed present invention are illustrated by way of example and appropriate reference to
accompanying drawings.
SUMMARY OF THE PRESENT INVENTION
The present invention relates to a system for intelligent trading. The present invention includes a system server computer and a user server computer. The system server computer is connected to internet. The system server computer further includes a user module, a system database unit and a system processing unit. The system database unit stores computer readable instructions for intelligent trading. The system processing unit executes computer readable instructions for intelligent trading. The user server computer is connected to the user module of the system server computer through internet. The user server computer includes a user interface, a user database unit and a user processing unit. The user database unit stores computer readable instructions. The user processing unit executes computer readable instructions to communicate with the system server computer to fetch data from the system database unit. The user interface displays the information extracted from the system database unit through the one user module. The system database unit also stores data collected from the various internet portal. The system processing unit of the system server computer executes computer readable instructions and fetches stock data from all stock exchange server through the internet portal and stores stock data in the system database unit. The user server computer fetches data from the system database unit and displays it to user through the user interface. Data from various stock exchange servers on which the stocks of the companies are listed is collected by the system processing unit and is being sent to the user server computer to be presented on the user interface. The system processing unit of the system server computer executes computer readable

instructions to predict stock prices into order to selling and buying of stock. The stock prices is predicted by applying an elastic band theory that analyze intensity impact of the sentiments of negative news on the stock prices, probability of reversal of the negative new and a recovering capability of the stock prices after loss due to negative news. The system processing unit of the system server computer executes computer readable instructions and fetches data and stores it in the system database unit for performing the elastic band theory along with sentiment analysis. The system processing unit of the system server computer generates alert message after determining the impact of negative news on the stock prices by the elastic band theory. The system processing unit of the system server computer executes computer readable instructions also uses elastic band theory to analyze the elasticity of the news that predicts whether the negative news that has affected the stock prices is temporary and permanent in nature and also predicts rebounding capability of the negative news. While predicting the elasticity of the news the system processing unit of the system server computer also analyses how capable is the stock price to recover from the loss caused due to the negative news. The system processing unit of the system server computer also calculates the price to earnings ratio and further analyzes the past years price to earnings ratio and at the same time a comparison is drawn with the price to earnings ratio of other companies in the industry. The system processing unit of the system server computer performs historical analysis and forecasts future stock prices of the companies by analyzing the past financial status. The system processing unit of the system server computer performs sentiment analysis, elastic band theory analysis, price to earnings ratio and historical analysis and by analyzing these factors together the decision of buying and selling of stock is made.
An advantage of the present invention is that the present invention is faster than other inventions.
Another advantage of the present invention is that the present invention provides highly intelligent trading system.
Yet another advantage of the present invention is that present invention has self-learning capabilities from trade data.

Yet another advantage of the present invention is that the present invention is operationally
effective, cost-effective, easy to operate and/or use and maintenance-free.
Yet another advantage of the invention is that the present invention reduces transaction cost
of hiring trading agent.
Yet another advantage of the invention is that the present invention reduces probability
error and wrong prediction.
Yet another advantage of the invention is to use multiple factors to calculate the stock
prices.
Further objectives, advantages, and features of the present invention will become apparent
from the detailed description provided herein below, in which various embodiments of the
disclosed present invention are illustrated by way of example and appropriate reference to
accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings are incorporated in and constitute a part of this specification
to provide a further understanding of the invention. The drawings illustrate one
embodiment of the invention and together with the description, serve to explain the
principles of the invention.
Fig.l illustrates the line diagram the system of the present invention.
Fig.2 illustrates a flow chart of a method for an intelligent trading.
DETAILED DESCRIPTION OF THE INVENTION
Definition
The terms "a" or "an", as used herein, are defined as one or as more than one. The term
"plurality", as used herein, is defined as two or as more than two. The term "another", as
used herein, is defined as at least a second or more. The terms "including" and/or "having",
as used herein, are defined as comprising (i.e., open language). The term "coupled", as used
herein, is defined as connected, although not necessarily directly, and not necessarily
mechanically.

The term "comprising" is not intended to limit inventions to only claiming the present invention with such comprising language. Any invention using the term comprising could be separated into one or more claims using "consisting" or "consisting of claim language and is so intended. The term "comprising" is used interchangeably used by the terms "having" or "containing".
Reference throughout this document to "one embodiment", "certain embodiments", "an embodiment", "another embodiment", and "yet another embodiment" or similar terms means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of such phrases or in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics are combined in any suitable manner in one or more embodiments without limitation.
The term "or" as used herein is to be interpreted as an inclusive or meaning any one or any combination. Therefore, "A, B or C" means any of the following: "A; B; C; A and B; A and C; B and C; A, B and C". An exception to this definition will occur only when a combination of elements, functions, steps or acts are in some way inherently mutually exclusive.
As used herein, the term "one or more" generally refers to, but not limited to, singular as well as the plural form of the term.
The drawings featured in the figures are to illustrate certain convenient embodiments of the present invention and are not to be considered as a limitation to that. Term "means" preceding a present participle of an operation indicates a desired function for which there is one or more embodiments, i.e., one or more methods, devices, or apparatuses for achieving the desired function and that one skilled in the art could select from these or their equivalent in view of the disclosure herein and use of the term "means" is not intended to be limiting.
Fig.l illustrates a system (100) of intelligent trading. The system (100) includes a system

server computer (102) and a user server computer(108). The system server computer(102) is connected to internet. The system server computer(102) further includes a user module(114), a system database unit(104) and a system processing unit(106).The user server computer (108) is connected to the user module(114) of the system server computer(102) through internet. The user server computer(108) includes a user interface(l 16), a user database unit(l 10) and a user processing unit(l 12). The system server computer(102) is in connected to a stock exchange server(l 18) through the internet.
Fig.2 illustrates a flow chart of a method for an intelligent trading. The step(120), a method of registration of the user in a system server computer(102). The registration internet portal is opened on an user interface (116). The user fill in the details for registration of user into the system server computer(102). The step(122), a method of data collection. The financial data about various companies is procured through internet by the system processing unit(106). The data from various stock exchange server(118) on which the stocks of the companies are listed is collected by the system processing unit(106) and is being sent to an user server computer(108) to be presented on the user interface(l 16).The system processing unit(106) executes computer readable instructions and analyses data collected from various stock exchange server(118) to find out which companies to invest in. The system processing unit(106) collects news related to various companies using ticker based system to view data relating to each company. The step(124), a method of sentiment analysis. Through self-learning the system processing unit(106) has learnt to read the sentiment of the news and determines through sentiment analysis whether the news is negative, positive and neutral. Thus based on the sentiment of news the price of stock is predicted. The step(126), a method of elastic band theory. The system processing unit(106)diversify events occurred in the news on the basis of how permanent and reversible events are. The system processing unit(106) executes computer readable instructions and analyzes whether the news that is negative in nature is capable of rebounding. The system processing unit(106) executes computer readable instructions and further analyzes news reviews, analyzing

companies last 5 years of financial reports, placement of the company. The system processing unit(106) executes computer readable instructions and further analyses the impact negative news on the stock prices and time- period of the impact. Thus the price of stock is predicted. The step(128), a method of analyzing the price to earnings ratio. The system processing unit(106) executes computer readable instructions and calculate the price to earnings ratio. The system processing unit(106) executes computer readable instructions and indicates a change in the price to earnings ratio by creating an alert. Thereafter, the system processing unit(106) executes computer readable instructions and analyzes the price to earnings ratio for last five years and the price to earnings ratio of different companies. Thus, determine the growth rate of the different companies. The step(130), a method of historical analysis. The system processing unit(106) executes computer readable instructions and analyzes the past financial data of the companies and generate alerts on potential trend change. Thus the price of stock is predicted. The step(132), the system processing unit(106) executes computer readable instructions and utilizes the analysis done through sentiment analysis, elastic band theory, the price to earnings ratio and historical analysis to determine the decision of selling and buying stock.
The present invention relates to a system for intelligent trading. The present invention includes a system server computer and a user server computer. The system server computer is connected to internet. The system server computer further includes a user module, a system database unit and a system processing unit. The system database unit stores computer readable instructions for intelligent trading. The system processing unit executes computer readable instructions for intelligent trading. The user server computer is connected to the user module of the system server computer through internet. The user server computer includes a user interface, a user database unit and a user processing unit. The user database unit stores computer readable instructions. The user processing unit executes computer readable instructions to communicate with the system server computer fetch data from the system database unit. The user interface displays the information extracted from the system database unit through the one user module. The system database

unit also stores data collected from the various internet portal. The system processing unit of the system server computer executes computer readable instructions and fetches stock data from all stock exchange server through the internet portal and stores stock data in the system database unit. The user server computer fetches data from the system database unit and displays it to user through the user interface. Data from various stock exchange servers on which the stocks of the companies are listed is collected by the system processing unit and is being sent to the user server computer to be presented on the user interface. The system processing unit of the system server computer executes computer readable instructions to predict stock prices into order to selling and buying of stock. The stock prices is predicted by applying an elastic band theory that analyze intensity impact of the sentiments of negative news on the stock prices, probability of reversal of the negative new and a recovering capability of the stock prices after loss due to negative news. The system processing unit of the system server computer executes computer readable instructions and fetches data and stores it in the system database unit for performing the elastic band theory along with sentiment analysis. The system processing unit of the system server computer generates alert message after determining the impact of negative news on the stock prices by the elastic band theory. The system processing unit of the system server computer executes computer readable instructions also uses elastic band theory to analyze the elasticity of the news that predicts whether the negative news that has affected the stock prices is temporary and permanent in nature and also predicts rebounding capability of the negative news. While predicting the elasticity of the news the system processing unit of the system server computer also analyses how capable is the stock price to recover from the loss caused due to the negative news. The system processing unit of the system server computer also calculates the price to earnings ratio and further analyzes the past years price to earnings ratio and at the same time a comparison is drawn with the price to earnings ratio of other companies in the industry. The system processing unit of the system server computer performs historical analysis and forecasts future stock prices of the companies by analyzing the past financial status. The system processing unit of the system server computer performs sentiment analysis, elastic band theory analysis, price to earnings ratio

and historical analysis and by analyzing these factors together the decision of buying and selling of stock is made. In an embodiment of present invention, the data collected from the various internet portal are selected from news article, social media post, financial data of company, stock prices data in different stock exchanges. In an embodiment of present invention, the elastic band theory uses certain rules to identify whether the negative news is capable of returning back, the rules includes index fluctuation, analyst financial projections, Change in the management of the company, death/court case against the directors of the company and political elections. The system processing unit decides whether a change in the price index has caused the stock price to fall and change in the price index is capable of returning back using elastic band theory. Stock analyst make certain market predictions quarterly regarding the prices of the stock that is being consider by the system processing unit during the elastic band theory analysis. Stock prices of the companies fall sometimes with the change in the management of the company that is being considered by the system processing unit during the elastic band theory analysis. Legal implications/ demise of any of the directors/ key responsible persons of the company also cause change in the stock prices of the company. The uncertainty of political elections also causes the stock market to get affected. In an embodiment of present invention, the user server computer is selected from a desktop computer, a tab, a smart-phone and a pager. In an embodiment of present invention, the system processing unit executes self-learning computer readable instructions to developed an artificial intelligence in the system server computer, thus the system processing unit executes selling and buying stock.
In another embodiment of the present invention, the present invention relates to a system for intelligent trading. The present invention includes one or more system server computers and one or more user server computer. The one or more system server computers are connected to internet. The one or more system server computers further include one or more user modules, one or more system database units and a system processing unit. The one or more system database units store computer readable instructions trading. The system

processing unit executes computer readable instructions for intelligent trading. The one or more user server computers are connected to the one or more user modules of the one or more system server computers through internet. The one or more user server computers include a user interface, one or more user database units and a user processing unit. The one or more user database units stores computer readable instructions. The user processing unit executes computer readable instructions to communicate with the one or more system server computers fetch data from the one or more system database unit. The user interface displays the information extracted from the one or more system database unit through the one or more user modules. The one or more system database units also store data collected from the various internet portal. The system processing unit of the one or more system server computers executes computer readable instructions and fetches stock data from all stock exchange server through the internet portal and stores stock data in the one or more system database units. The user server computer fetches data from the one or more system database units and displays it to user through the user interface. Data from various stock exchange servers on which the stocks of the companies are listed is collected by the system processing unit and is being sent to the user server computer to be presented on the user interface. The system processing unit of the system server computer executes computer readable instructions to predict stock prices into order to selling and buying of stock. The stock prices is predicted by applying an elastic band theory that analyze intensity impact of the sentiments of negative news on the stock prices, probability of reversal of the negative new and a recovering capability of the stock prices after loss due to negative news. The system processing unit of the system server computer executes computer readable instructions and fetches data and stores it in the one or more system database units for performing the elastic band theory along with sentiment analysis. The system processing unit of the system server computer generates alert message after determining the impact of negative news on the stock prices by the elastic band theory. The system processing unit of the one or more system server computers execute computer readable instructions also uses elastic band theory to analyze the elasticity of the news that predicts whether the negative news that has affected the stock prices is temporary and permanent in nature and also

predicts rebounding capability of the negative news. While predicting the elasticity of the news the system processing unit of the one or more system server computers also analyze how capable is the stock price to recover from the loss caused due to the negative news. The system processing unit of the one or more system server computers also calculates the price to earnings ratio and further analyzes the past years price to earnings ratio and at the same time a comparison is drawn with the price to earnings ratio of other companies in the industry. The system processing unit of the one or more system server computers performs historical analysis and forecasts future stock prices of the companies by analyzing the past financial status. The system processing units of the one or more system server computers perform sentiment analysis, elastic band theory analysis, price to earnings ratio and historical analysis and by analyzing these factors together the decision of buying and selling of stock is made. In an embodiment of present invention, the data collected from the various internet portals are selected from news article, social media post, financial data of company, stock prices data in different stock exchanges. In an embodiment of present invention, the elastic band theory uses certain rules to identify whether the negative news is capable of returning back, the rules includes index fluctuation, analyst financial projections, Change in the management of the company, death/court case against the directors of the company and political elections. The system processing unit decides whether a change in the price index has caused the stock price to fall and change in the price index is capable of returning back using elastic band theory. Stock analyst make certain market predictions quarterly regarding the prices of the stock that is being consider by the system processing unit during the elastic band theory analysis. Stock prices of the companies fall sometimes with the change in the management of the company that is being considered by the system processing unit during the elastic band theory analysis. Legal implications/ demise of any of the directors/ key responsible persons of the company also cause change in the stock prices of the company. The uncertainty of political elections also causes the stock market to get affected. In an embodiment of present invention, the one or more user server computers are selected from a desktop computer, a tab, a smart-phone and a pager.In an embodiment of present invention, the system processing unit executes self-learning computer readable

instructions to developed an artificial intelligence in the one or more system server computers, thus the system processing unit executes selling and buying stock. In an embodiment of the present invention, the present system executes a method for a intelligent trading based on elastic band effect of the negative news, the method having:
a method of data extraction, the method having
the system processing unit executes computer readable instructions that crawls into
various internet portal and extract the all the data,
the system processing unit executes computer readable instructions that executes
heuristic method to identify news headlines from data that affects the stock market,
the text related to the news headlines is also being extracted and linked to
corresponding news headlines,
the system processing unit executes computer readable instructions that removes
duplication of the news headlines identified, and
financial data about various companies is procured through internet by the system
processing unit;
a method of classification of the news headline and financial data of company, the method
having
the system processing unit executes computer readable instructions that identifies
the news headline and the past years financial data of company that effect the stock
prices,
the system processing unit executes computer readable instructions that executes
heuristic method to classify of sentiments of the news headlines that has a negative
impact, a neutral impact and a positive impact on the stock prices, and
the system processing unit executes computer readable instructions that executes
heuristic method to classify of sentiments the past years financial data of company
that has a negative effect, a neutral effect and a positive effect on the stock prices;
a method of analyzing elastic band effect of the news sentiments on the stock prices , the

method having
the system processing unit executes computer readable instructions aggregate the all
the classified news sentiments from the whole data and further generate the overall
sentiment of the stock market and also sentiment of a particulate stock of a
company,
In case the overall impact of news headline on the stock prices is negative then the
system processing unit executes computer readable instructions to further analyze
intensity of the negative impact on the stock prices,
The system processing unit executes computer readable instructions and analyzes
whether the news headline that is negative in nature is capable of rebounding in
future and effect the stock prices, and
the system processing unit executes computer readable instructions and analyzes
how capable is the stock price to recover from the loss caused due to the negative
news,
thus, the system processing unit executes computer readable instructions to predict
the price of stock;
wherein, the system processing unit executes computer readable instructions
calculate the elastic band effect of the negative news headline based on certain rules
and identify whether the price of stock is capable recover from the loss caused due
to the negative news.
In an embodiment, a system processing unit executes computer readable
instructions calculate the elastic band effect of the negative news headline based on
certain rules, the rules having:
an index fluctuation, the system processing unit decides whether a change in the price index has caused the stock price to fall and change in the price index is capable of returning back using elastic band theory;
a stock analyst financial projections, the stock analyst make certain market

predictions quarterly regarding the prices of the stock effects the stock prices that is temporary in nature and the stock prices recovered, thus stock analyst financial projections is being consider by the system processing unit during the elastic band theory analysis;
a change in the management of the company, stock prices of the companies fall sometimes with the change in the management of the company, that is temporary in nature and the stock prices recovered , thus change in the management of the company is being consider by the system processing unit during the elastic band theory analysis;
a death/court case against the directors of the company, legal implications/ demise of any of the directors/ key responsible persons of the company also cause change in the stock prices of the company that is temporary in nature and the stock prices recovered, and that is being consider by the system processing unit during the elastic band theory analysis; and
a political elections, the uncertainty of political elections also causes the stock prices to get affected, that is temporary in nature and the stock prices recovered, thus political elections.
In yet another embodiment, the present invention executes a method for a intelligent trading based on a price to earnings ratio analysis and historical analysis, the method having a method of analyzing the price to earnings ratio, the method having
the system processing unit executes computer readable instructions and calculate
the price to earnings ratio,
the system processing unit executes computer readable instructions and indicates a
change in the price to earnings ratio by creating an alert,
thereafter, the system processing unit executes computer readable instructions and

analyzes the price to earnings ratio for last five years and the price to earnings ratio of different companies,
thus, the determines the growth rate of the different companies, and thus the price of stock is predicted; and a method of historical analysis, the method having
the system processing unit executes computer readable instructions and fetches the
past financial data of the companies,
the system processing unit executes computer readable instructions and analyzes the
past financial data of the companies and generate alerts on potential trend change,
and
thus the price of stock is predicted;
wherein, the system processing unit executes computer readable instructions and
utilizes the analysis done through sentiment analysis, elastic band theory, the price
to earnings ratio and historical analysis to determine the decision of selling and
buying stock,
wherein, the system processing unit executes computer readable instructions
automatically places order of buying and selling on the user interface.
Further objectives, advantages and features of the present invention will become
apparent from the detailed description provided herein below, in which various
embodiments of the disclosed present invention are illustrated by way of example
and appropriate reference to accompanying drawings. Those skilled in the art to
which the present invention pertains may make modifications resulting in other
embodiments employing principles of the present invention without departing from
its spirit or characteristics, particularly upon considering the foregoing teachings.
Accordingly, the described embodiments are to be considered in all respects only as
illustrative, and not restrictive, and the scope of the present invention is, therefore,
indicated by the appended claims rather than by the foregoing description or
drawings. Consequently, while the present invention has been described with
reference to particular embodiments, modifications of structure, sequence, materials

and the like apparent to those skilled in the art still fall within the scope of the invention as claimed by the applicant.

Claim

1. A system (100) for intelligent trading, the system (100) comprising:
an at least one system server computer(102), the at least one system server
computer(102) is connected to internet, the at least one system server
computer(102) having
an at least one user module(l 14),
an at least one system database unit(104), the at least one system database unit(104)
stores computer readable instructions for intelligent trading, and
a system processing unit(106), the system processing unit(106) executes computer
readable instructions for intelligent trading;
an at least one user server computer(108), the at least one user server computer(108)
is connected to the at least one user module(114) of the at least one system server
computer(102) through internet, the at least one user server computer(108) having
a user interface^ 16), the user interface^ 16) displays the information extracted from the at least one system database unit(104) through at least one user module(l 14), and
an at least one user database unit(HO), the at least one user database unit (110) stores computer readable instructions, and
a user processing unit(l 12), the user processing unit(l 12) executes computer
readable instructions to communicates with the at least one system server
computer(102) fetch data from the at least one system database unit (104);
wherein, the system processing unit(106) of the at least one system server
computer(102) executes computer readable instructions to predict stock prices into
order to selling and buying of stock,
wherein, the stock prices is predicted by applying an elastic band theory that analyze intensity impact of the sentiments of negative news on the stock prices, probability of reversal of the negative new and a recovering capability of the stock prices after loss due to negative news,

wherein, the system processing unit(106) of the at least one system server computer(102) executes computer readable instructions and fetches data and store it in the at least one system database unit(104) for performing the elastic band theory along with sentiment analysis,
Wherein, the at least one system server computer(102) is in connected to a stock
exchange server(l 18) through the internet,
wherein, the system processing unit(106) of the at least one system server
computer(102) executes computer readable instructions and fetches stock data from
all stock exchange server(l 18) through the internet portal and stores stock data in at
least one system database unit(104),
wherein, the at least one user server computer(108) fetches data from the at least
one system database unit(104) and display it to user through the user interface
(116),
wherein, data from various stock exchange server(118) on which the stocks of the companies are listed is collected by the system processing unit(106) and is being sent to the at least one user server computer(108) to be presented on the user interface(116),
Wherein, the system processing unit(106) of the at least one system server computer(102) generates alert message after determining the impact of negative news on the stock prices by the elastic band theory,
wherein, the system processing unit(106) of the at least one system server computer(102) perform sentiment analysis, elastic band theory analysis, price to earnings ratio and historical analysis and by analyzing these factors together the decision of buying and selling of stock is made,

2. The system(lOO) as claimed in claim 1, wherein the data collected from the various internet portal are selected from news article, social media post, financial news website, stock prices data in different stock exchanges.
3. The system(lOO) as claimed in claim 1, wherein the at least one user server computer(108) is selected from a desktop computer, a tab, a smart-phone and a pager.
4. The system as claimed in claim 1, wherein the system processing unit(106) executes self-learning computer readable instructions to developed an artificial intelligence in the at least one system server computer(102), thus the system processing unit(106) executes selling and buying stock.
5. The system(lOO) as claimed in claim 1, wherein the system executes a method for a intelligent trading based on elastic band effect of the negative news , the method comprising:
a method of data extraction, the method having
the system processing unit(106) executes computer readable instructions that crawls
into various internet portal and extract the all the data,
the system processing unit(106) executes computer readable instructions that
executes heuristic method to identify news headlines from data that affects the stock
market,
the text related to the news headlines is also being extracted and linked to
corresponding news headlines,
the system processing unit(106) executes computer readable instructions that
removes duplication of the news headlines identified, and
financial data about various companies is procured through internet by the system
processing unit(106);
a method of classification of the news headline and financial data of company, the method

having
the system processing unit(106) executes computer readable instructions that identifies the news headline and the past years financial data of company that effect the stock prices,
the system processing unit(106) executes computer readable instructions that executes heuristic method to classify of sentiments of the news headlines that has a negative impact, a neutral impact and a positive impact on the stock prices, and the system processing unit(106) executes computer readable instructions that executes heuristic method to classify of sentiments the past years financial data of company that has a negative effect , a neutral effect and a positive effect on the stock prices; and
a method of analyzing elastic band effect of the news sentiments on the stock prices , the
method having
the system processing unit(106) executes computer readable instructions aggregate
the all the classified news sentiments from the whole data and further generate the
overall sentiment of the stock market and also sentiment of a particulate stock of a
company,
in case the overall impact of news headline on the stock prices is negative then the
system processing unit(106) executes computer readable instructions to further
analyze intensity of the negative impact on the stock prices ,
the system processing unit(106) executes computer readable instructions and
analyzes whether the news headline that is negative in nature is capable of
rebounding in future and effect the stock prices, and
the system processing unit(106) executes computer readable instructions and
analyzes how capable is the stock price to recover from the loss caused due to the
negative news, and
thus, the system processing unit(106) executes computer readable instructions to
predict the price of stock;

wherein, the system processing unit(106) executes computer readable instructions calculate the elastic band effect of the negative news headline based on certain rules and identify whether the price of stock is capable recover from the loss caused due to the negative news
6. The method as claimed in claim 5, wherein the system processing unit(106) executes computer readable instructions calculate the elastic band effect of the negative news headline based on certain rules, the rules comprises:
an index fluctuation, the system processing unit(106)decides whether a change in the price index has caused the stock price to fall and change in the price index is capable of returning back using elastic band theory;
a stock analyst financial projections, the stock analyst make certain market predictions quarterly regarding the prices of the stock effects the stock prices that is temporary in nature and the stock prices recovered, thus stock analyst financial projections is being consider by the system processing unit(106) during the elastic band theory analysis;
Change in the management of the company, stock prices of the companies fall sometimes with the change in the management of the company, that is temporary in nature and the stock prices recovered , Change in the management of the company is being consider by the system processing unit(106) during the elastic band theory analysis;
a death/court case against the directors of the company, legal implications/ demise of any of the directors/ key responsible persons of the company also cause change in the stock prices of the company that is temporary in nature and the stock prices recovered, and that is being consider by the system processing unit(106) during the elastic band theory analysis; and
political elections, the uncertainty of political elections also causes the stock market to get affected.

7. The system(lOO) as claimed in claiml, wherein the system executes a method for a
intelligent trading based on a price to earnings ratio analysis and historical analysis, the
method comprising:
a method of analyzing the price to earnings ratio, the method having
the system processing unit(106)executes computer readable instructions and
calculate the price to earnings ratio,
the system processing unit(106) executes computer readable instructions and
indicates a change in the price to earnings ratio by creating an alert,
thereafter, the system processing unit(106) executes computer readable instructions
and analyzes the price to earnings ratio for last five years and the price to earnings
ratio of different companies,
thus, the determines the growth rate of the different companies, and
thus the price of stock is predicted; and a method of historical analysis, the method having
the system processing unit(106) executes computer readable instructions and fetches
the past financial data of the companies,
the system processing unit(106) executes computer readable instructions and
analyzes the past financial data of the companies and generate alerts on potential
trend change, and
thus the price of stock is predicted; wherein, the system processing unit(106) executes computer readable instructions and utilizes the analysis done through sentiment analysis, elastic band theory, the price to earnings ratio and historical analysis to determine the decision of selling and buying stock,
wherein, the system processing unit(106) executes computer readable instructions automatically places order of buying and selling on the user interface(l 16);
8. The method as claimed in claim 5 and 6, wherein the system processing unit(106)
executes self-learning computer readable instructions to perform sentiment analysis, elastic

band theory, the price to earnings ratio analysis and historical analysis to determine the decision of selling and buying stock and further execute.