MAGADH SUGAR (India) Technical Analysis Overview

    MAGADSUGAR -- India Stock  

    INR 108.25  0.05  0.0462%

    MAGADH SUGAR ENE secures Semi Deviation of 8.72, Downside Deviation of 9.61 and Mean Deviation of 10.47. Macroaxis technical analysis interface lets you check possible technical drivers of MAGADH SUGAR ENE as well as the relationship between them. Strictly speaking you can use this information to find out if the entity will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for MAGADH SUGAR which can be compared to its peers in the industry. Please verify MAGADH SUGAR ENE Coefficient Of Variation, Jensen Alpha, Potential Upside, as well as the relationship between Variance and Maximum Drawdown to decide if MAGADH SUGAR ENE is priced fairly providing market reflects its recent price of 108.25 per share.
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    MAGADH SUGAR ENE Technical Analysis

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    MAGADH SUGAR ENE Trend Analysis

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

    MAGADH SUGAR Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for MAGADH SUGAR ENE applied against its price change over selected period. The best fit line has a slop of 3.44 % which means MAGADH SUGAR ENE will continue producing value for investors. It has 34 observation points and a regression sum of squares at 9650.44, which is the sum of squared deviations for the predicted MAGADH SUGAR price change compared to its average price change.

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    MAGADH SUGAR Market Strength

    MAGADH SUGAR November 16, 2018 Daily Price Condition

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