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In this article we are going through a best execution sample using our API within our web cloud-based JupyterLab environment. A step-by-step explanation of commonly used best execution approaches illustrated using tick data and execution performance measurements.
> READIn this article we are going through a tick bars calculation and adjustment with corporate actions data using our API within our web cloud-based JupyterLab environment.
> READOur fully managed solutions are cloud-based, subscribe and start immediately retrieving on-demand data. We made technological choices enabling a cloud-agnostic and open architecture approach. Your cloud choice can be cost-effective 💰 and green 🌱
> READETFs data is now live among preview access data coverage, available until September 2021. You can now request on-demand fiancial data from trusted sources for equities, futures, indices and ETFs using our web and cloud-based JupterLab environment.
> READStrategic technological choices and workflow decisions need to be made all along the financial data lifecycle. In this article, we are delivering our feedbacks and sharing our experience on dealing with different financial data types and coming from multiple sources.
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