Grouping Data in your Portfolio

Data can be placed into groups in the Portfolio View in order to better organize and sort through large amounts of data. In addition, common operations can be assigned to all of the data in individual groups or the entire portfolio. This is useful for performing common analysis operations on specific data and enables you to fine-tune your analysis methods for data of specific types or data in specific financial sectors.

Any number of groups can be created in your portfolio. In addition, groups can contain multiple subgroups of their own. Data can appear in one or more groups anywhere in the portfolio.

Creating a New Data Group

To create a new group in a portfolio or group, select Add New Subgroup… from the context menu for the portfolio or group. This will display the Create Subgroup Dialog, where you can specify a name for the new subgroup.

Once a group has been created, data can be created or imported directly into the group. Data can also be moved or copied from another group in the new group by dragging it in the Portfolio View. For information on moving data, see Manipulating Data and Groups.

Determining How to Group Your Data

There is no best way group data in a portfolio. Begin by choosing a grouping that is most like the way you normally work with financial data. Then, modify the group structure over time to best fit the way you are currently using TradingSolutions.

Here are some examples of ways that data can be grouped.

·      Grouping by Financial Sector

Financial data can be grouped with other data from the same financial sector. This is useful for comparing data from within a given sector. For example, stock data could be divided into subgroups of technical stocks, transportation stocks and utility stocks.

·      Grouping by Processing

Financial data can be grouped with other data that shares similar characteristics or has the same types of information available. This is useful since processing can be defined for entire groups. For example, stocks could be divided into those with good fundamentals and those with weak fundamentals and then further subdivided based on their volatility. This would allow you to define different processing for each of these different groups based on previous experiences.

·      Grouping by Interest Level

Financial data can be grouped based on your interest level in that data. This is useful for focusing your attention only on the data that is immediately relevant to your current actions. For example, stocks could be divided into groups that are being actively traded, hot prospects to be watched closely, and other stocks to look at occasionally.

These groupings are intended only as guidelines for effective portfolio management. They can be used alone or in combination. For example, a group containing hot prospects could be divided into different financial sectors, different processing groups, or both. In addition, data can be copied to multiple groups, so data could be processed in a group with similar characteristics and viewed as part of a group of hot prospects.

Feel free to experiment. Groups and data can be moved within a portfolio at any time. For information on moving data, see Manipulating Data and Groups.

&  For more help with the Portfolio View, see Managing Data with the Portfolio View.