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The most recent short interest data has been released for the 01/12/2018 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 12/29/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 11/15/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 10/31/2017 settlement date, which shows a 1,728,328 share decrease in total short interest for Sempra Energy , to 5,824,093, a decrease of 22.88% since 10/13/2017. Total short interest is just one way to look at short data; another metric that we here at Dividend Channel find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares traded.

The most recent short interest data has been released for the 10/13/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

U.S. stock futures turn higher on Monday, as Wall Street, faced with little in the way of economic data or corporate earnings, focuses instead on geopolitical events.

The most recent short interest data has been released for the 06/30/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 05/15/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

In the latest look at the underlying components of the S&P 500 ordered by largest market capitalization, Sempra Energy has taken over the #188 spot from Prologis Inc , according to The Online Investor. Market capitalization is an important data point for investors to keep an eye on, for various reasons.

The most recent short interest data has been released for the 01/31/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 01/13/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 12/15/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The most recent short interest data has been released for the 10/31/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

Renewable energy players took a beating in pre-market trading Wednesday, while fossil fuels focused companies, which are not expected to be widely affected by a Trump presidency, were also slipping.