This is a Shiny app that provides a graphical interface for visualizing and forecasting AAPL stock prices using time series analysis.The app utilizes the Prophet package in R for forecasting and dygraphs for interactive visualization.
The project directory contains the following files:
The development of the AAPL Stock Forecasting Shiny App project took approximately 2 weeks This includes time spent on data collection, preprocessing, model implementation, building the Shiny app interface, testing, and refinement.
The pricing for creating a similar AAPL Stock Forecasting Shiny App project varies based on several factors, including the complexity of the forecasting models, the integration of real-time data feeds, customization requirements, and additional features. To obtain an accurate pricing estimate, please provide detailed project specifications for a personalized quote.
The AAPL Stock Forecasting Shiny App project was developed Mohammed Kayser This project can be utilized by individuals, financial institutions, or organizations for their internal use to analyze and forecast the AAPL stock performance. feel free to contact for further conversation
15 Jun 2023
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