Wellington Oppoc (Ireland) Technical Analysis

    F00000H5KU -- Ireland Fund  

    EUR 16.72  0.06  0.36%

    As of 15 of June Wellington Oppoc maintains Mean Deviation of 0.3994. Wellington Oppoc Emerg technical analysis makes it possible for you to employ past prices and volume data with intention to determine a pattern that calculates the direction of the fund future prices. Specifically you can use this information to find out if the fund will indeed mirror its model of past data patterns or the prices will eventually revert. We found nineteen technical drivers for Wellington Oppoc Emerg which can be compared to its rivals. Please check out Wellington Oppoc Emerg Variance, Jensen Alpha and the relationship between Standard Deviation and Information Ratio to decide if Wellington Oppoc Emerg is priced fairly providing market reflects its latest price of 16.72 per share.
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    Wellington Oppoc Emerg Technical Analysis

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    Wellington Oppoc Emerg Trend Analysis

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

    Wellington Oppoc Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for Wellington Oppoc Emerg Mkt Dbt applied against its price change over selected period. The best fit line has a slop of 0.05 % which may suggest that Wellington Oppoc Emerg Mkt Dbt market price will keep on failing further. It has 78 observation points and a regression sum of squares at 29.47, which is the sum of squared deviations for the predicted Wellington Oppoc price change compared to its average price change.

    Wellington Oppoc June 15, 2019 Technical Indicators

    Wellington Oppoc June 15, 2019 Daily Price Condition

    Additionally see Investing Opportunities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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