Fisher Invts (Ireland) Technical Analysis Overview

    IE00BVFCTH76 -- Ireland Fund  

    EUR 134.41  0.83  0.62%

    Fisher Invts Instl Emerg Mkts Eq A2 shows Coefficient Of Variation of 408.11 and Mean Deviation of 0.5049. Fisher Invts Instl technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity future prices. In plain English you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for Fisher Invts Instl Emerg Mkts Eq A2 which can be compared to its rivals. Please confirm Fisher Invts Instl Information Ratio and the relationship between Jensen Alpha and Maximum DrawdownInformation Ratio, Treynor Ratio, Value At Risk, as well as the relationship between Jensen Alpha and Maximum Drawdown to decide if Fisher Invts Instl is priced favorably providing market reflects its regular price of 134.41 per share.
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    Fisher Invts Instl Technical Analysis

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    Fisher Invts Instl Trend Analysis

    Use this graph to draw trend lines for Fisher Invts Instl Emerg Mkts Eq A2. You can use it to identify possible trend reversals for Fisher Invts 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 Fisher Invts price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

    Fisher Invts Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for Fisher Invts Instl Emerg Mkts Eq A2 applied against its price change over selected period. The best fit line has a slop of ? % . It has 0 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Fisher Invts price change compared to its average price change.

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    Fisher Invts Market Strength

    Fisher Invts August 14, 2018 Daily Price Condition
    Please also check Risk vs Return Analysis. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.