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What programming languages are best for trading and how do I get started?

AI Summary

I've recently become interested in trading and I'm looking to learn more about the programming side of it. I have some experience with Python and I've heard it's a popular choice for trading, but I'm not sure if it's the best option. I've also come across other languages like Java and C++ being used in trading, but I don't know much about them.

I've been doing some research and I've found a few different platforms and libraries that can be used for trading, such as Zipline and Backtrader. However, I'm not sure which one would be best for me to start with. I'm looking for something that's easy to use and has a lot of resources available.

I'd love to hear from anyone with experience in trading and programming. What programming languages do you use for trading and why? Are there any specific platforms or libraries that you would recommend for a beginner like me? Can you also suggest some resources for learning more about trading and programming?

1 Answer
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Welcome to the world of trading and programming. It's great that you have some experience with Python, as it's indeed a popular choice for trading. Many traders and quant firms use Python due to its simplicity, flexibility, and the extensive range of libraries available, such as Pandas, Numpy, and Matplotlib, which make data analysis and visualization a breeze.

When it comes to trading, you'll often hear about other languages like Java and C++ being used, especially in high-frequency trading where speed and performance are critical. However, for a beginner, Python is an excellent choice to start with. You can use it to backtest trading strategies, analyze market data, and even automate trades using libraries like Zipline and Backtrader, which you've already come across.

To get started, I recommend exploring Zipline and Backtrader in more depth. Both are well-documented and have active communities, which means there are plenty of resources available to help you learn. Zipline is a bit more geared towards backtesting and evaluating trading strategies, while Backtrader provides a more comprehensive framework for building and executing trading systems. You can also consider other libraries like PyAlgoTrade and Catalyst, which offer similar functionality.

In terms of resources, there are many online courses, tutorials, and books that can help you learn more about trading and programming. Some popular resources include the Python for Data Analysis book by Wes McKinney, the creator of Pandas, and the Quantopian platform, which provides a comprehensive introduction to quantitative trading and programming. You can also find many online

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