2700247 (Ireland) Technical Analysis Overview

    2700247 -- Ireland Fund  

    USD 1.98  0.10  5.35%

    2700247 owns Standard Deviation of 1.12, Market Risk Adjusted Performance of 0.0452 and Coefficient Of Variation of 18320.18. Macroaxis technical analysis interface gives you tools to check timely technical drivers of 2700247 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 2700247 which can be compared to its peers in the sector. Please confirm 2700247 Semi Deviation, Coefficient Of Variation and the relationship between Mean Deviation and Downside Deviation to decide if 2700247 is priced fairly providing market reflects its prevailing price of 1.98 per share.
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    2700247 Technical Analysis

    Time Period
      Portfolio Optimization  Portfolio Optimization  
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    2700247 Trend Analysis

    Use this graph to draw trend lines for 2700247. You can use it to identify possible trend reversals for 2700247 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 2700247 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

    2700247 Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for 2700247 applied against its price change over selected period. The best fit line has a slop of 0.001002 % which means 2700247 will continue generating value for investors. It has 78 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted 2700247 price change compared to its average price change.

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    2700247 Market Strength

    2700247 December 19, 2018 Daily Price Condition

    Check also Trending Equities. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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