Tutorial
Data Science & Analytics
Welcome to Nate’s tutorials!
My tutorials will provide a comprehensive overview of the entire data science workflow, from data preprocessing and model building to deployment and monitoring. I will discuss how to utilize Python, SQL, and Tableau to build powerful data visualizations, and explore how to build serverless applications by utilizing AWS Lambda, s3, and OpenAI's API. Additionally, I will also be writing tutorials on how to build trading strategies using the backtrader library. Let us begin!
Building a Profitable Trading Strategy with Backtrader: A Crossover Strategy Tutorial
In this tutorial, I will discuss how to use the backtrader python library to code a moving average crossover strategy. We will look at how to set up the environment, plot the moving averages, and code the buy and sell conditions. We will also backtest the strategy using historical data and compare it to a buy-and-hold strategy. So if you're ready to learn how to code a profitable trading strategy, read on!