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Nordea Technical Analysis

NDI
NDIEUENHKL -- Denmark Stock  

DKK 85.20  5.30  6.63%

As of the 3rd of April Nordea Invest secures Risk Adjusted Performance of (1.46) and Mean Deviation of 6.53. Macroaxis technical analysis interface lets you check existing technical drivers of Nordea Invest Europe as well as the relationship between them. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for Nordea Invest, which can be compared to its peers in the industry. Please verify Nordea Invest Europe Information Ratio, Potential Upside as well as the relationship between Potential Upside and Kurtosis to decide if Nordea Invest Europe Enhanced K is priced some-what accurately providing market reflects its recent price of 85.2 per share.
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Nordea Invest Europe Technical Analysis

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Nordea Invest Europe Trend Analysis

Use this graph to draw trend lines for Nordea Invest Europe Enhanced K. You can use it to identify possible trend reversals for Nordea Invest 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 Nordea Invest price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Nordea Invest Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Nordea Invest Europe Enhanced K applied against its price change over selected period. The best fit line has a slop of   4.66  which may suggest that Nordea Invest Europe Enhanced K market price will keep on failing further. It has 14 observation points and a regression sum of squares at 1214.02, which is the sum of squared deviations for the predicted Nordea Invest price change compared to its average price change.

Nordea Invest April 3, 2020 Technical Indicators

Additionally, see Stocks Correlation. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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