TT Score provides you the ability to identify potentially problematic trading activity, review that activity from a variety of perspectives and then record your review of that activity.
Once you have selected your data, TT Score organizes this data into clusters. You then choose a grouping method for organizing these clusters into groups or select a view that groups your clusters automatically. With your clusters now grouped, you can use TT Score data visualizations to review the selected data at three different layers of depth:
Using the cluster group views listed below, you examine each group of clusters to determine which of them require further review. Cluster Group reviews are conducted using the following views:
After you have identified a problematic cluster group, you review the list of individual clusters within that group to determine which clusters require further examination. Cluster list reviews are performed using the Rainbow List.
You then examine an individual cluster and review the workflow actions taken by the trader in the context of the market conditions at the time. Cluster reviews are conducted using the views below:
This review process begins with the Cluster Scorecard, which provides detailed information about the cluster activity and score. From the scorecard, you can use the Market Ladder Replay and Macro views to view the trader's activity in the context of market conditions.
Selected data is best reviewed by focusing on one cortex at a time. You begin by filtering the data for an individual cortex.
You have completed your review for one of the cortices and can now move on to the next cortex by adjusting your cortex filter.