Which type of indicator is likely to result in better performance?

Scripted indicators are likely to result in better performance because they can process data in a more dynamic and efficient manner. Unlike manual indicators, which require human input and can be prone to errors or inconsistencies, scripted indicators automate data calculations and logic, leading to faster and more reliable performance metrics.

Furthermore, unlike formula indicators that might rely heavily on predefined relationships which may limit their adaptability, or static indicators that provide fixed values without the ability to react to changes in underlying data, scripted indicators can adjust and recalculate in real-time based on new data inputs. This means they can provide insights that reflect the most current information, thereby enhancing decision-making processes.

Using scripts can also allow for more complex calculations and analyses that might not be feasible with manual or static methods, improving both the depth and accuracy of the insights generated. This automated approach not only saves time but also ensures consistency across the analysis, ultimately leading to better overall performance in tracking and evaluating key metrics within the platform.