> For the complete documentation index, see [llms.txt](https://docs.smarttradingindicators.com/smart-trading-indicators/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.smarttradingindicators.com/smart-trading-indicators/our-backtestings/our-backtesting-methodology.md).

# Our Backtesting Methodology

<figure><img src="https://558837473-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Do1mH8Zs7P1Sl6NYJoX%2Fuploads%2FIF0GJaMZJZn6oYgIsrqt%2F82.%20Gitbook%20cover%20-%20Me%CC%81todologia%20de%20Nuestro%20Backtesting.png?alt=media&amp;token=9f8e51db-4798-480f-9aa8-df2414d4d109" alt=""><figcaption></figcaption></figure>

Backtesting is more than simply running a strategy on historical data; It is a careful and methodical process to evaluate the robustness and effectiveness of a tool or strategy. A well-designed and executed backtesting methodology is a testament to the seriousness and commitment of a platform to its users. At Smart Trading Indicators, we take this process one step further, by integrating the most advanced Machine Learning and Artificial Intelligence (AI) techniques.