Stock's Statistical Details

Angelo Klin
April/2015

Specialisation: Data Science
Course: Developing Data Products
Education Institution: Johns Hopkins
Publisher: Coursera

Disclaimer / Notes

The charts and numbers presented, using data from the Yahoo! Finance, are for educational purposes and must not be considered as any form of professional recommendation related to the financial market.

The results shown are in no way related or take into account the investment objectives, financial situation and particular needs of any particular person. Persons intending to act on the stock market should seek professional advice to any investment needs, objectives and financial circumstances prior to taking any action.

This application is a project for the course Developing Data Products, class of April/2015. It is part of the Data Science Specialisation at the Johns Hopikins University, offered via Coursera.

Application - Stock's Statistical Details

  • A simple application that plots a chart of some Stock
  • Inputs are a code and a date interval
  • Optional overlays (calculated with the TTR package)
    • ATR: Average True Range is a type of moving average
    • BB: Bollinger Bands are a way to compare a security's volatility and price levels over a period of time
    • EMA: Exponential Moving Averages calculated with an exponentially-weighted mean, giving more weight to recent observations
    • SAR: Parabolic Stop-and-Reverse calculates a trailing stop
    • Statistics: Regular Mean and Median
  • Built with RStudio's Shiny

Inputs

  • Stock Code is the symbol for a stock
    • Uses the Yahoo! Finance format
      • NAB.AX (National Australia Bank)
      • APPL (Apple Computers)
  • Date Range is the interval for the chart
    • Default is one year back from the day before
  • Overlays can be added or removed via the check boxes
    • Each overlay can require specific parameters, which will appear if a particular overlay is selected

Live Sample Chart 2015-04-30 21:11:31

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NOTE: This page tries to connect to Yahoo! Finance and get data for the NASDAQ Index from 2014-04-30 to 2015-04-29. ALERT: There will be an error intead of a chart if the source/network is not available.