Step-by-step guide to backtesting a forex strategy in Python In the fast-paced and often unpredictable world of forex trading, relying on intuition or untested hypotheses can quickly lead to significant losses. Professional traders understand the critical importance of validating a trading strategy before risking real capital. This validation process is known as backtesting, and it involves applying your strategy to historical market data to assess its performance. Python, with its rich ecosystem of data science and financial libraries, has emerged as the go-to language for quantitative analysts and algorithmic traders. Its readability, flexibility, and powerful tools make it an ideal choice for developing and backtesting forex strategies. This comprehensive guide will walk you through the entire process of backtesting a forex strategy using Python, from setting up your environment to interpreting the results. By the end, you'll have a solid framework to test y...