For building a trading algorithm application, whether to choose a GUI-based desktop application or a web-based application depends on your target users and distribution convenience. A web-based application is more accessible and easier to update and maintain, especially for distributing to multiple users. On the other hand, a GUI-based desktop application might offer link removed control and can operate without internet access, but distributing updates can be more challenging.
To start building your application in Python, you'll want to familiarize yourself with Python basics, then move on to learning about financial data handling, algorithmic trading concepts, and the specific libraries that can aid in these tasks. For GUI, you could explore Tkinter (for desktop apps) or Django/Flask (for web apps). For trading algorithms, look into libraries like pandas for data analysis and backtrader or zipline for backtesting your strategies.
To start building your application in Python, you'll want to familiarize yourself with Python basics, then move on to learning about financial data handling, algorithmic trading concepts, and the specific libraries that can aid in these tasks. For GUI, you could explore Tkinter (for desktop apps) or Django/Flask (for web apps). For trading algorithms, look into libraries like pandas for data analysis and backtrader or zipline for backtesting your strategies.
Larz60+ write Mar-27-2024, 10:28 AM:
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