Recently, there has been a lot of interest among investors in building automated trading systems such as algorithmic trading. Python is a very suitable language for developing these automated trading systems, as it can be utilized for various purposes, from specific algorithm development to user interfaces, thanks to its rich library support and concise syntax. In this article, we will explain in detail how to implement the interaction between the main window and dialogs of a Python-based automated trading system using PyQt.
1. Overview of Automated Trading Systems
An automated trading system is a system that automatically trades financial products according to predefined algorithms. It can perform trading faster and more accurately than traditional manual trading methods. These systems can be applied to various assets, including stocks, forex, and cryptocurrencies, and can analyze market conditions in real time to make decisions accordingly.
2. GUI Development Using PyQt
PyQt is a tool that allows the use of the Qt library in Python, helping to easily develop GUI applications with rich features. Using PyQt, we can create a closely structured user interface and receive various user inputs. In this example, we will set up a main window and a dialog to receive trading information from the user, and based on that, we will implement a simple automated trading logic.
3. Environment Setup
We need to set up the environment required to develop the automated trading system. First, install the following libraries: