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This project is a simple attempt to forecast the future value of an individual stock, a particular sector of the market, or the market as a whole. These forecasts generally use fundamental analysis of a company or economy or technical analysis of charts or a combination of the two as every investor wants to predict the future value of stocks.
This is the home page of the website. If you are a registered user, you can directly login using your credentials(username and password). If you are not a registered user(first time user) all you need to do is click on the register on the option in the above image and you will be redirected to this page
Now you need to enter the username, password of your choice, and click on register to create an account. After your account has been set up, you will be automatically redirected to the login page where you can enter your details and login to your account.
As soon as the user logs in, the view would be like this
The user can add a company's stock by clicking on the "Add Stock" option that is available next to stocks. In order to make the job a bit simpler for the user, we also display the list of 10 companies which had significant growth in the market for the last 30 days so that the user has an idea regarding which companies that needs special attention so that they can invest in those companies. As soon as the user clicks on "Add Stock" the user will be redirected to this page,
Here the user can choose any company from a huge list of companies that He/She is willing to look at. As the user selects a company, it means he/she is interested in that company and it will be added to the list of interested companies of that specific user and the user will be able to see a graphical representation of the stock value of the company for past few months, along with the future prediction. The graph looks something of this sort
The above displayed graph provides various insights to the user. The graph not only displays how the companies stock value is effected because of covid using color coding to show stock values before and after covid but also foretells the future stock value of the company for the upcoming days. If you the see the graph we not only provide the exact prediction of the future values but also display the 95% confidence interval which also gives the optimistic and pessmistic prediction values. The prediction of the stock value is implemented by performing using linear regression module available in python scikit learn package on the data available as it is one of the most reliable method available in order to create a model that can predict future values with appreciatable accuracy values and is one of the best method for given forecast problem.
This is the basic workflow of the project. The user can add several companies in the above manner and they can logout and login any time without any fear of loss of data.