Python Backtesting: A Beginner’s Guide to Building Your Own Backtester

In my <a href="https://zakraicik.xyz/blog/cyrpto-prices-in-python" rel="noopener ugc nofollow" target="_blank">last post</a>, I wrote about to use the <a href="https://www.binance.us/" rel="noopener ugc nofollow" target="_blank">Binance</a> API to pull historical prices for various Crypto assets. In this article, we will start to build the foundation for simple backtester. A backtester is a software tool that allows traders and investors to simulate the performance of their trading strategies using historical market data. By applying a set of rules to the historical data, a backtester can provide valuable insights into how a strategy would have performed in the past, helping traders make more informed decisions in the future. We will focus on generating buy/sell/hold signals against historical price data using various trading strategies. Simulating trades, associated costs, performance etc. is out of scope for this post but will be covered in a future post. Specifically, we will cover the following: <a href="https://medium.com/@raicik.zach/python-backtesting-a-beginners-guide-to-building-your-own-backtester-c31bddf05a59">Visit Now</a>