Madhav Marbles (India) Technical Analysis

    MADHAV -- India Stock  

    INR 43.50  0.20  0.46%

    In connection with Fundamental Indicators, Macroaxis technical analysis interface lets you check existing technical drivers of Madhav Marbles as well as the relationship between them. Strictly speaking you can use this information to find out if the firm will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for Madhav Marbles which can be compared to its peers in the industry. Please verify Madhav Marbles Information Ratio, Value At Risk and the relationship between Standard Deviation and Treynor Ratio to decide if Madhav Marbles and Granites Limited is priced some-what accurately providing market reflects its recent price of 43.5 per share.
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    Madhav Marbles Technical Analysis

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    Madhav Marbles Trend Analysis

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

    Madhav Marbles Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for Madhav Marbles and Granites Limited applied against its price change over selected period. The best fit line has a slop of 0.023947 % which means Madhav Marbles and Granites Limited will continue generating value for investors. It has 78 observation points and a regression sum of squares at 5.67, which is the sum of squared deviations for the predicted Madhav Marbles price change compared to its average price change.

    Madhav Marbles April 20, 2019 Technical Indicators

    Madhav Marbles April 20, 2019 Daily Price Condition

    Please see also Stocks Correlation. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.