SKIPPER Technical Analysis

SKI
SKIPPER-EQ -- India Stock  

INR 44.10  3.60  7.55%

As of the 3rd of July, SKIPPER has the coefficient of variation of 4599.65, and risk adjusted performance of 0.0552. Our technical analysis interface makes it possible for you to check practical technical drivers of SKIPPER LTD, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate data for nineteen technical drivers for SKIPPER LTD, which can be compared to its competition. Please validate SKIPPER LTD coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and semi variance to decide if SKIPPER is priced adequately, providing market reflects its prevalent price of 44.1 per share.

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SKIPPER technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of SKIPPER technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SKIPPER trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

SKIPPER LTD Technical Analysis

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SKIPPER LTD Trend Analysis

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

SKIPPER Best Fit Change Line

The following chart estimates an ordinary least squares regression model for SKIPPER LTD applied against its price change over selected period. The best fit line has a slop of   -0.61  , which may suggest that SKIPPER LTD market price will keep on failing further. It has 44 observation points and a regression sum of squares at 653.8, which is the sum of squared deviations for the predicted SKIPPER price change compared to its average price change.

About SKIPPER Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of SKIPPER LTD on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of SKIPPER LTD based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SKIPPER LTD stock first instead of the macroeconomic environment surrounding SKIPPER LTD . By analyzing SKIPPER's financials, daily price indicators, and its related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of SKIPPER's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to SKIPPER specific price patterns or momentum indicators. Please read more on our technical analysis page.

SKIPPER July 3, 2020 Technical Indicators

Most technical analysis of SKIPPER stock help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SKIPPER from various momentum indicators to cycle indicators. When you analyze SKIPPER charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Cycle Indicators
Math Operators
Math Transform
Momentum Indicators
Overlap Studies
Pattern Recognition
Price Transform
Statistic Functions
Volatility Indicators
Volume Indicators
Risk Adjusted Performance0.0552
Market Risk Adjusted Performance0.4546
Mean Deviation12.23
Semi Deviation14.94
Downside Deviation15.68
Coefficient Of Variation4599.65
Standard Deviation16.85
Variance283.9
Information Ratio0.0056
Jensen Alpha0.1467
Total Risk Alpha(1.71)
Sortino Ratio0.006
Treynor Ratio0.4446
Maximum Drawdown53.17
Value At Risk(23.60)
Potential Upside33.43
Downside Variance246.01
Semi Variance223.25
Expected Short fall(14.63)
Skewness0.2758
Kurtosis0.6991
Additionally, take a look at World Market Map. Please also try Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of macroaxis ideas.
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