Show 15-Minute Hi-Low Counts

This page describes the contents of the Show 15-Minute Hi-Low Counts report, one of the simplest and yet very meaningful metadata reports on companies whose stocks are featured on the Bulls-with-Bears page.

Discover how this type of stock metadata reporting can be used to help find the best times to execute a trade.

In this report there are two main groups of metadata information, one on prices and the other on number of shares traded. Each group is then divided into the following four sub-groups: Highest, 2nd Highest, 2nd Lowest and Lowest.

And within each of those sub-groups, information is sorted in descending sequence by number of occurrences during those 15-minute time periods. For each of the 15-minute time periods, the number of occurrences is also shown as a percentage of the total number of occurrences.

Time Periods When Highest and Lowest Prices Reached, the first group, shows the 15-minute time-of-day periods when the stock price is at its highest, 2nd highest, 2nd lowest and lowest.

For this sample Show 15-Minute Hi-Low Counts report, each of the column totals for this group is actually greater than 583 which is the number of trading days covered by this report.

This is accurate because one some trading days it’s possible for the same prices (the highest, the 2nd highest, the 2nd lowest and/or the lowest) to be reached again during another 15-minute trading period for the day.

The other group shows the 15-minute time-of-day periods when the volume-of-shares traded was at its highest, 2nd highest, 2nd lowest and lowest.

The sample Show 15-Minute Hi-Low Counts report reflects 583 trading days. So when looking at Time Periods when Highest and Lowest Trading Volumes Reached group, it also shows a value of 583.

This is accurate because although it may be possible, it’s highly unlikely the volume of shares traded during one 15-minute period can be exactly the same in a different 15-minute period of the same day.

On its own, this report is a good indicator of when to statistically expect the high and low prices to occur as well as when to statistically expect the highest and lowest volume of shares to be traded.

Furthermore, when combined with other types of metadata results, it becomes a little easier to spot trading trends for shares of the company.

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