Why Use Stock Metadata for Day Trading - Top 10 Reasons – #2 of 10

Reason 2 for using stock metadata is having the capability of getting accurate statistics by 15-minute time period during the day for indicating the highest and lowest count of shares traded.

Again statistically speaking, when using stock metadata, it becomes simpler to identify the time periods of day when the highest as well as the lowest number of shares for a selected company have been traded on the major North American stock exchanges.

This metadata helps you make money especially when you want to do some day trading of large blocks of shares. More details related to reason 2 are contained in the information that follows.



Just like for reason 1, this metadata information is also found in the company’s stock metadata report entitled 15-minute Hi-Low Counts by looking at the other section (figure 2) of the report. As illustrated above, it is divided into four groups of 15-minute segments sorted in descending sequence by frequency of occurrence. This is especially useful for day trading.

Click Here for a detailed description of the 15-minute Hi-Low Counts report.

You might find it easier to follow the explanations given by having your own copy of these files populated with the exact same stock price data.
Click here to get them. You can also save yourself a lot of effort by using these files later on as templates for creating your own metadata reports.

When looking at the total values for each of the groupings illustrated in the table above for the Ford Motor Company, you see the total for each column adds up to 291. This matches the total number of trading days shown by the other stock metadata reports for this company.

This is to be expected because it only rarely happens that the number of shares traded during one 15-minute period is exactly the same as another 15-minute period during the same day.

By combining the explanation given by reasons #1 and #2, it’s easy to see why all this information can be quite useful especially for day trading when buying or selling a large block of shares.

Probably the best way of following along with what’s being described here is to have the report data in a spreadsheet. And of course, knowing how to use data selection filters will enable you to quickly extract the data of interest to you. To further simplify the process, this series of articles will include instructions and examples of data filtering.


With that being said, let’s continue with the number 3 reason in the list:
Getting metadata statistics to help anticipate a higher or lower price at market open .

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