SPW Global (Ireland) Technical Analysis

    IE00B9GFG036 -- Ireland Fund  

    USD 1.35  0.02  1.46%

    SPW Global 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 SPW Global High Quality E USD Acc which can be compared to its competition. Please validate SPW Global High Treynor Ratio and the relationship between Maximum Drawdown and Potential UpsideTreynor Ratio, Value At Risk, Downside Variance, as well as the relationship between Maximum Drawdown and Potential Upside to decide if SPW Global is priced fairly providing market reflects its prevalent price of 1.35 per share.
    Horizon     30 Days    Login   to change

    SPW Global High Technical Analysis

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    SPW Global High Trend Analysis

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

    SPW Global Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for SPW Global High Quality E USD 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 SPW Global price change compared to its average price change.

    SPW Global April 19, 2019 Technical Indicators

    SPW Global April 19, 2019 Daily Price Condition

    Please also check Risk vs Return Analysis. Please also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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