Web Development
Deployment Examples
This application utilizes the Django framework and its Object-Relational Mapper (ORM) to facilitate the retrieval of stored data.
It is connected to a MySQL database hosted on the Pythonanywhere server. The software's primary objective is to enable users to execute complex filtering operations while prioritizing the speed and efficiency of querying. By utilizing this software, users can save valuable time by executing advanced filtering operations quickly and efficiently. Additionally, the software's Python and Django backend offer flexibility and customizability, making it an ideal choice for users who want to customize their querying process to fit their specific needs.
This is a Python application that is designed to display trading signals based on a mathematical algorithm.
The algorithm determines the ideal time to buy or sell Bitcoin. The application fetches data from the Yahoo Finance API and calculates the current trend direction using a 252-day lookback period which is approximately one year. Once the calculations are complete, the results are presented in a user-friendly table format. This application is ideal for traders who are looking to make data-driven decisions when it comes to buying or selling Bitcoin. With the help of the algorithm, the application can analyze large amounts of data and provide recommendations on when to make a move.
This application is built on Python and Flask, and it leverages the power of Pandas and Plotly to provide historical data of the S&P 500.
To do this, it uses the Pandas Datareader to connect to the Yahoo Finance API and apply various technical analysis tools. One of the standout features of this application is its interactive visualizations, which are made possible by Plotly. Users can easily view market bias and explore different trends. In addition, the website also offers a simple and profitable trading strategy known as Dual Momentum. The application also includes a table of various stock indices, grouped by their one-year rate of change. This table is updated daily and uses historical data sourced from Yahoo Finance API.