HDFC ST (India) Technical Analysis

    HDFCSTOPPFTD -- India Fund  

    INR 10.26  0.00  0.00%

    As of 18 of February HDFC ST retains Risk Adjusted Performance of (0.21) and Market Risk Adjusted Performance of 1.23. HDFC ST technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the entity future prices. In other words you can use this information to find out if the entity will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for HDFC ST Opp which can be compared to its competitors. Please check out HDFC ST Opp Variance as well as the relationship between Value At Risk and Skewness to decide if HDFC ST is priced more or less accurately providing market reflects its last-minute price of 10.26 per share.
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    HDFC ST Opp Technical Analysis

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    HDFC ST Opp Trend Analysis

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

    HDFC ST Best Fit Change Line

    The following chart estimates an ordinary least squares regression model for HDFC ST Opp Ft Div applied against its price change over selected period. The best fit line has a slop of 0.00023184 % which means HDFC ST Opp Ft Div 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 HDFC ST price change compared to its average price change.

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    HDFC ST Market Strength

    HDFC ST February 18, 2019 Daily Price Condition

    Please also check Risk vs Return Analysis. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.