{"id":5915,"date":"2024-10-14T07:54:45","date_gmt":"2024-10-14T07:54:45","guid":{"rendered":"https:\/\/eodhd.com\/financial-academy\/?p=5915"},"modified":"2025-02-05T14:42:13","modified_gmt":"2025-02-05T14:42:13","slug":"build-a-financial-trading-dashboard-with-python-django","status":"publish","type":"post","link":"https:\/\/eodhd.com\/financial-academy\/building-stocks-apps-examples\/build-a-financial-trading-dashboard-with-python-django","title":{"rendered":"Build a Financial Trading Dashboard with Python Django"},"content":{"rendered":"\n

Python Django is a high-level framework designed to facilitate the rapid development of web applications. I frequently work with Python, and when I opt for a framework, I typically choose Flask due to its flexibility, which allows me to build solutions with fewer restrictions. In contrast, Django is more opinionated, promoting a highly structured approach where there is often \u201cone right way\u201d to implement a solution.<\/p>\n\n\n\n

I thought this tutorial would be useful for introducing you to Django, while also serving as a helpful refresher for myself.<\/p>\n\n\n\n

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Recently, EODHD APIs introduced a new product called \u201cIndices Historical Constituents Data<\/a>\u201d. This API is quite new and has not yet been integrated into the official Python library<\/a>. It provides two key functions: one for listing indices and another for retrieving the constituents of each index. To illustrate, consider the S&P 500 index, which is denoted by the code \u201cGSPC.INDX.\u201d Although it’s called the S&P 500, the index actually comprises of 503 stocks. This discrepancy exists because while there are 500 companies in the index, some companies have more than one type of stock class included.<\/p>\n\n\n\n

This new API offers up to 12 years of historical and current data for various global indices, including the S&P 500, S&P 600, S&P 100, and S&P 400, as well as key industry indices. The API provides detailed information such as the list of current constituents and any historical changes over time. Such data, which is difficult to find elsewhere, is highly valuable for in-depth analysis of market trends and long-term investment strategies. It’s designed for seamless integration and delivers structured data in JSON format, making it ideal for developers and analysts working on financial projects.<\/p>\n\n\n\n

For more information, you can visit the official product pages on EODHD’s marketplace or forum, where they discuss the features and details of the API in more depth here<\/a> and here<\/a>.<\/p>\n\n\n\n

Please note, API data availability depends on your subscription plan. Some data isn’t included in the free plan. Visit our pricing page<\/a> to find the package that fits your needs.<\/p>\n\n\n\n

Register & Get Data<\/span><\/a><\/p>\n\n\n\n\n\n\n

Prerequisites<\/h2>\n\n\n\n
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  1. Install Python 3, ideally 3.9 or better. I’m using 3.9.6 on my Mac.<\/li>\n\n\n\n
  2. Install an IDE. I’m using Visual Studio Code<\/a>, it’s free and excellent.<\/li>\n\n\n\n
  3. Create a virtual environment called \u201cpython3 -m venv venv\u201d.<\/li>\n\n\n\n
  4. Upgrade Python PIP, \u201cpython3 -m pip install –upgrade pip\u201d.<\/li>\n\n\n\n
  5. Initialise the virtual environment \u201csource venv\/bin\/activate\u201d.<\/li>\n\n\n\n
  6. Install Django using Python PIP. \u201cpython3 -m pip install django -U\u201d.<\/li>\n<\/ol>\n\n\n\n

    Django – The Basics<\/h2>\n\n\n\n

    Django has the concept of a project and app(s). A project may be made up of one or more app(s). You could consider an app as a component within the project. For my tutorial series I’m going to create a project called \u201ceodhd_apis\u201d. The project will consist of one more components or apps. The first app we will create will be called \u201cspglobal\u201d.<\/p>\n\n\n\n

    D3.js<\/h2>\n\n\n\n

    I’m going to use a popular javascript visualisation library called D3.js to create my treemap.<\/p>\n\n\n\n

    Bootstrap<\/h2>\n\n\n\n

    I’m going to use a popular javascript data tables library called Bootstrap to create my constituents data table. Bootstrap is great as it’s easy to add export, sorting and pagination functionality to webpage tables.<\/p>\n\n\n\n

    Setting up our Django project<\/h2>\n\n\n\n

    Django has a utility (within the virtual environment) called \u201cdjango-admin\u201d that we’ll use to create our project.<\/p>\n\n\n\n

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    (venv) $ django-admin startproject eodhd_apis<\/strong>\n(venv) $ cd eodhd_apis<\/strong><\/strong><\/code><\/pre>\n\n                <\/div>\n                
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