![]() ![]() Open the main.py file in your favorite code editors like Spyder, atom, or Sublime Text. It is appropriate to save the list of tickers in a separate file and call from it when needed. There are only 505 stock tickers, as including the entire list in the main.py code script can make the code cumbersome. The file ticker.py contains the list of tickers. Save a copy of the stock market data in the project folder as “all_stocks_5yr.csv”. Open the project folder and create a file named main.py.ģ. You will need to create a project folder and name it SelectStock.Ģ. The web app will look like this:Ĭreating the Stock Market Web App Bokeh Projectġ. Interactivity is created by enabling the selection of a combination of different tickers and different time periods (on the price trend charts). This web app allows users to select two stock tickers and visualize their descriptive statistics (such as mean and standard deviation) of both prices and returns, correlation plots, and price trend charts for the selected stocks. The web app will provide a solution to the case study in finance detailed above. An installation of the packages outlined in our Getting Started with Bokeh Tutorial.This means that you need to deploy it using a cloud service. You should ensure that the app is readily available for all company users. ![]() For example, a user should be able to compare the performance of two stocks in the last week, month, year, or any period that they like. There should be a way to customize the period of analysis interactively. The comparison should include basic measures, such as: For example, they can compare Apple's stock to Microsoft's and pick the best stock for creating clients' portfolios. Your manager believes that the company's financial analysts can save time by quickly comparing any stock they want to a similar stock in the same industry. Now she wants you to create a stock market app that the company's financial analysts will use to compare two stocks. Your manager has heard your colleagues praise your Python skills. Imagine you are working for Big Money Inc - a leading asset management company. In this section, we will show you how to create a simple web app and deploy it for financial analysts to use. Create layouts: Layouts help us present plots effectively and aesthetically.Ĭreating a Stock Market Analysis Bokeh Web App Project Description.For example, when you select a different ticker in a time series plot, the plot should update with the new data. Define callback function: A callback function instructs the application on how to respond to user interaction.You should have a predetermined plot that you want to showcase. Create plots and widgets: This is the first step in creating a Bokeh application.The general structure of a bokeh application is: Source: The Bokeh Server How to Build and Run a Bokeh Application Hence, you don't need to have prior knowledge of JavaScript to create an app! The following image provides a summary of how the Bokeh server works. The advantage of Bokeh is that it handles the JavaScript part. The JSON document is rendered in JavaScript using Bokeh's client library (BokehJS) for users to view the application in the browser. The Bokeh server converts the Python Code you write to a JSON document. Basics of the Bokeh Serverīokeh converts objects (such as plots, widgets, axes, and almost everything you create) into JSON format. To get more information on how the Bokeh server works, check out Bokeh documentation. We will begin by creating the app and running it on Bokeh servers to share with colleagues. In addition to its vast data visualization possibilities, Bokeh also offers users a way to host apps on their servers by enabling a connection between Python and the browser. In our previous Bokeh tutorials, we discussed how to take your first steps with Bokeh and create some basic scatter and line plots. ![]()
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