Python is a popular programming language that is widely used in the financial industry for a variety of tasks, including the development of trading bots. There are several reasons why Python is the best choice for writing a trading bot.

First and foremost, Python is an open-source language, which means that it is free to use and has a large and active community of developers. This community has created a wide variety of libraries and frameworks that can be used to develop a trading bot. Some popular libraries include NumPy, Pandas, and Scikit-learn, which provide powerful data manipulation and analysis tools, and libraries such as TDA-API and Backtrader, which provide easy-to-use interfaces for interacting with trading platforms.

Another reason Python is a good choice for trading bots is its simplicity and readability. Python has a simple and straightforward syntax, which makes it easy to learn and write code. This is particularly important when developing a trading bot, as the code must be easy to understand and maintain in order to ensure that it works correctly and stays up to date.

Python also has a wide range of built-in libraries that can be used for data analysis, visualization and machine learning which makes it a very suitable language for trading bots. Trading bots typically need to analyze a large amount of data and make decisions based on this data. Python’s powerful data analysis and machine learning libraries make it easy to work with and analyze data, which is essential for a trading bot.

Python is also a very versatile language and can be used for a wide range of tasks. It can be used for backtesting, data analysis and visualization, web scraping and even connecting to various platforms and exchanges. This makes Python a good choice for trading bots as it allows to include a lot of different functionalities in one single script.