How do I get started with automated trading using Python?

Getting started with automated trading using Python can seem daunting at first, but don't worry, I'm here to help. First, congratulations on taking the first step by learning Python - it's an excellent language for automated trading. Now, let's break down the process into manageable chunks. You've already started by researching different libraries and frameworks like Zipline and Backtrader, which is great.

For beginners, I'd recommend starting with the Backtrader framework. It's a popular and well-maintained library that provides a lot of features out of the box, including support for multiple data feeds, technical indicators, and strategy optimization. Plus, it has a relatively gentle learning curve. You can install it using pip install backtrader. Another great library is CCXT, which provides a unified API for interacting with multiple cryptocurrency exchanges.

Once you've chosen a library, it's time to start learning about automated trading strategies. There are many resources available online, including tutorials, videos, and blogs. I'd recommend checking out the Backtrader documentation, which has a lot of examples and tutorials to get you started. You can also find many open-source trading strategies on platforms like GitHub, which can be a great way to learn from others and get inspiration for your own strategies.

Now, let's talk about data feeds. You'll need a reliable source of historical and real-time market data to feed into your trading algorithms. Some popular options include Quandl, Alpha Vantage, and Yahoo Finance. You can use libraries like pandas and yfinance to fetch and manipulate the data. For example, you can use the yfinance.download() function to fetch historical stock