Developing Data Products - Stock Forecasting

This presentation is the second part of my final project for the developing data products course. First, I need to create a Shiny application and deploy it on Rstudio's servers. Then, I use Rstudio Presenter to prepare a reproducible pitch presentation about my application.

• Stock Forecasting Application
• One Simple Example
• Discussion

This is a simple application. First, you need select a stock. Information will be collected from google finance. Then, you can choose the start date and the end date you are interested in. In this application, we only analyze the open price of the stock and decompose the time series data. Next, You can select different exponential models that we can use to fit the time series data. Finally, we will predict three future values of the selected stock.

The stock forecasting application has been deployed at: https://yanyu6.shinyapps.io/stockProj/

In the next slide, we will show a example of stock(AAPL). Due to space limitation, we only show partial results.

Since this is really a preliminary web application, there are several things can be further improved in the furture. First, when you select the dates, you cannot select the dates within a year. Second, the default fitting model is the simple exponential model. We definitely can try more comprehensive models in the future.

The stock information is collected from google finance. Source code for the application is available on GitHub:https: //github.com/yanyu6/DevelopingDataProducts