Trojan Income (Ireland) Technical Analysis Overview

    F00000SJ7U -- Ireland Fund  

    EUR 1.43  0.00  0.00%

    Trojan Income Feeder O EUR Acc has Coefficient Of Variation of 16597.05 and Risk Adjusted Performance of 0.0076. Trojan Income technical analysis provides you with the way to harness past market data to determine a pattern that measures the direction of the fund future prices. In other words you can use this information to find out if the fund will indeed mirror its model of past prices and volume data or the prices will eventually revert. We found nineteen technical drivers for Trojan Income Feeder O EUR Acc which can be compared to its competition. Please validate Trojan Income Feeder Standard Deviation and the relationship between Variance and Jensen AlphaStandard Deviation, Information Ratio, Treynor Ratio, as well as the relationship between Variance and Jensen Alpha to decide if Trojan Income is priced more or less accurately providing market reflects its prevalent price of 1.43 per share.
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    Trojan Income Feeder Technical Analysis

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    Trojan Income Feeder Trend Analysis

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

    Trojan Income Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for Trojan Income Feeder O EUR Acc 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 Trojan Income price change compared to its average price change.

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    Trojan Income Market Strength

    Trojan Income December 13, 2018 Daily Price Condition

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