Roboquant is an algorithmic trading platform that is fast and flexible while at the same time strives to be developer friendly. It is fully open source, and can be used in Jupyter Notebooks as well as standalone applications. It is designed to be used by anyone serious about algo trading, from beginning retail traders to established trading firms. You can find out more at roboquant.org. Please consider giving this repository a star ⭐ if you like the project. Code sample To demonstrate how easy it is to get started, the following code snippet shows all the ingredients required to back-test a trading strategy: 1. Create the strategy that you want to validate 2. What data should be used, in this case, a directory with CSV files 3. Run the back test 4. Print the account state at the end of the run You can find out more at the online tutorial. Installation Library You can develop our own trading application in your favourite IDE using roboquant as a library. Just add roboquant and optional any of the additional modules as a dependency to your build tool, like Maven or Gradle or Kotlin Too

⚠ No verified equity curve — no track-record source connected.

No score history is stored yet — only the current score is shown.

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility not provided.

Data-completeness & trust index (not a profitability rating)