Legg Mason (Ireland) Technical Analysis Overview

    F0000020NB -- Ireland Fund  

    USD 77.63  0.08  0.10%

    Legg Mason QS Emerging Makts Eq C Acc secures Mean Deviation of 0.9018 and Risk Adjusted Performance of 0.08. Legg Mason QS Emerging Makts Eq C Acc technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the organization future prices. Strictly speaking you can use this information to find out if the organization will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for Legg Mason which can be compared to its peers in the industry. Please verify Legg Mason QS Coefficient Of Variation, Variance and the relationship between Downside Deviation and Standard Deviation to decide if Legg Mason QS Emerging Makts Eq C Acc is priced some-what accurately providing market reflects its recent price of 77.63 per share.
     Time Horizon     30 Days    Login   to change

    Legg Mason QS Technical Analysis

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    Legg Mason QS Trend Analysis

    Use this graph to draw trend lines for Legg Mason QS Emerging Makts Eq C Acc. You can use it to identify possible trend reversals for Legg Mason 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 Legg Mason price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

    Legg Mason Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for Legg Mason QS Emerging Makts Eq C 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 Legg Mason price change compared to its average price change.

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    Legg Mason July 20, 2018 Daily Price Condition

    Additionally see Investing Opportunities. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.
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