How can I create a cryptocurrency trading strategy using historical price data without requiring extensive programming knowledge?

Hey there, I totally get your concern about not having extensive programming knowledge to create a cryptocurrency trading strategy! There are actually some really cool tools out there that can help you do just that without needing to write a ton of code. One of my favorites is Zipline, it's a Python library that allows you to create backtesting strategies without needing to worry about the underlying code. You can use libraries like pandas and NumPy to analyze your historical price data, and then use Zipline to create a strategy based on those insights.

As for resources, I'd recommend checking out CryptoSlate's guide to backtesting cryptocurrency trading strategies. They walk you through the process of setting up a backtesting environment, choosing a library, and creating a simple strategy. You can also check out platforms like TradingView, which offers a range of backtesting tools and indicators to help you analyze your historical price data and create a strategy.

When it comes to key metrics to focus on, I'd say start with the basics: moving averages, relative strength index (RSI), and Bollinger Bands. These will give you a good sense of the market's momentum and volatility. You can also explore more advanced metrics like momentum indicators and price patterns. Remember, the key is to find a strategy that works for you and your risk tolerance!

Lastly, keep in mind that backtesting is just the first step - you'll still need to do some trial and error in live markets to refine your strategy. But with the right tools and resources, you can get started without needing to be a coding expert. Good luck, and have fun exploring the world of cryptocurrency trading!