Some popular libraries include NumPy, pandas, TA-Lib for financial data manipulation, and back trader or zipline for backtesting strategies. With its extensive libraries and frameworks, Python has become popular for developing trading apps, particularly for algorithmic and quantitative trading. Python is a versatile and widely-used programming language that is known for its simplicity and readability. In this article, we will explore the best programming languages for creating a trading app, the process of building an app, and the benefits and drawbacks of creating your own trading software. Building your own trading app might seem daunting, but it can be a rewarding endeavour with the right resources and guidance. With the surge in popularity of online trading, many people are looking to create their own trading apps to have more control over their investments and to implement custom strategies.
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