The home page provides a keyword search function to help users find the stock ticker. The ticker search page asks users to type the desired stock ticker. The plotting page renders two plots.
The data source is Alphavantage. Free users can make up to 500 requests per day. The web app applies the daily stock price and end point search functions.
daily stock price contains the following information
- Open price
- Close price
- High
- Low
- Volume
end point search contains a list of suggested tickers
I use pandas dataframe to manipulate the time series data, generating average daily price, moving average and Bollinger bands. Then generate two plots using bokeh:
- The candlestick plot with Bollinger bands
- The average daily stock price and transaction volume
The plot has interactive hover tool. The second plot use twin y-axis to show different metrics.
The two plots are imbedded to the plotting template using components.
The home page has tab connecting to this github. The ticker search page has home page tab and github tab. The plotting page also provides link to google finance search using the input ticker.