GS USD (Ireland) Technical Analysis

    IE00B2Q5LQ51 -- Ireland Fund  

    USD 1.00  0.00  0.00%

    GS USD Treasury Liq Res Pref technical analysis makes it possible for you to employ past data patterns with intention to determine a pattern that calculates the direction of the entity future prices. 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 GS USD which can be compared to its peers in the sector. Please check out GS USD Treasury Mean Deviation and the relationship between Semi Deviation and Coefficient Of VariationMean Deviation, Downside Deviation, Standard Deviation, as well as the relationship between Semi Deviation and Coefficient Of Variation to decide if GS USD Treasury Liq Res Pref is priced more or less accurately providing market reflects its prevailing price of 1.0 per share.
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    GS USD Treasury Technical Analysis

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    GS USD Treasury Trend Analysis

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

    GS USD Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for GS USD Treasury Liq Res Pref applied against its price change over selected period. The best fit line has a slop of 0.00008511 % which means GS USD Treasury Liq Res Pref will continue generating value for investors. It has 78 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted GS USD price change compared to its average price change.

    GS USD May 24, 2019 Technical Indicators

    GS USD May 24, 2019 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.
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