NB EM (Ireland) Technical Analysis

    24993596 -- Ireland Fund  

    USD 7.68  0.63  7.58%

    NB EM LOC USD I2 AC owns Standard Deviation of 5.4, Market Risk Adjusted Performance of (0.47) and Mean Deviation of 3.37. Macroaxis technical analysis interface lets you check timely technical drivers of NB EM LOC 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 historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for NB EM which can be compared to its peers in the sector. Please verify NB EM LOC Semi Deviation, Coefficient Of Variation and the relationship between Mean Deviation and Downside Deviation to decide if NB EM LOC USD I2 AC is priced some-what accurately providing market reflects its prevailing price of 7.68 per share.
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    NB EM LOC Technical Analysis

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    NB EM LOC Trend Analysis

    Use this graph to draw trend lines for NB EM LOC USD I2 AC. You can use it to identify possible trend reversals for NB EM 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 NB EM price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

    NB EM Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for NB EM LOC USD I2 AC applied against its price change over selected period. The best fit line has a slop of 0.03 % which may suggest that NB EM LOC USD I2 AC market price will keep on failing further. It has 78 observation points and a regression sum of squares at 10.33, which is the sum of squared deviations for the predicted NB EM price change compared to its average price change.

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    NB EM Market Strength

    NB EM January 17, 2019 Daily Price Condition

    Check also Trending Equities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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