NASDAQ Global Technical Analysis

NQG8500LMAUD -- USA Index  

 1,757  0.11  0.0063%

As of 21 of September NASDAQ Global secures Mean Deviation of 0.2927. Macroaxis technical analysis interface lets you check practical technical drivers of NASDAQ Global Ins as well as the relationship between them. Strictly speaking you can use this information to find out if the entity will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for NASDAQ Global which can be compared to its peers in the industry. Please verify NASDAQ Global Ins Mean Deviation, Standard Deviation, Treynor Ratio, as well as the relationship between Downside Deviation and Information Ratio to decide if NASDAQ Global Ins Large Mid Cap is priced more or less accurately providing market reflects its recent price of 1757.16 per share.
Horizon     30 Days    Login   to change

NASDAQ Global Ins Trend Analysis

Use this graph to draw trend lines for NASDAQ Global Ins Large Mid Cap. You can use it to identify possible trend reversals for NASDAQ Global as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual NASDAQ Global price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

NASDAQ Global Best Fit Change Line

The following chart estimates an ordinary least squares regression model for NASDAQ Global Ins Large Mid Cap applied against its price change over selected period. The best fit line has a slop of 4.09 % which means NASDAQ Global Ins Large Mid Cap will continue producing value for investors. It has 22 observation points and a regression sum of squares at 3686.24, which is the sum of squared deviations for the predicted NASDAQ Global price change compared to its average price change.

NASDAQ Global September 21, 2019 Technical Indicators

NASDAQ Global September 21, 2019 Daily Price Condition

See also Your Current Watchlist. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.