CONTAINER Technical Analysis

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CONCOR -- India Stock  

INR 429.80  4.30  1.01%

As of the 9th of July, CONTAINER CORPORATION shows the risk adjusted performance of (0.1), and mean deviation of 2.4. CONTAINER CORPORATION technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to analyze nineteen technical drivers for CONTAINER CORPORATION OF, which can be compared to its rivals. Please confirm CONTAINER CORPORATION coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and semi variance to decide if CONTAINER CORPORATION is priced favorably, providing market reflects its regular price of 429.8 per share.

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CONTAINER CORPORATION 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 CONTAINER CORPORATION technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of CONTAINER CORPORATION 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...

CONTAINER CORPORATION Technical Analysis

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The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of CONTAINER CORPORATION volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.

CONTAINER CORPORATION Trend Analysis

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

CONTAINER CORPORATION Best Fit Change Line

The following chart estimates an ordinary least squares regression model for CONTAINER CORPORATION OF applied against its price change over selected period. The best fit line has a slop of   0.36  , which means CONTAINER CORPORATION OF will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4942.5, which is the sum of squared deviations for the predicted CONTAINER CORPORATION price change compared to its average price change.

About CONTAINER CORPORATION 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 CONTAINER CORPORATION OF 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 CONTAINER CORPORATION OF based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CONTAINER CORPORATION stock first instead of the macroeconomic environment surrounding CONTAINER CORPORATION . By analyzing CONTAINER CORPORATION's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of CONTAINER CORPORATION'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 CONTAINER CORPORATION specific price patterns or momentum indicators. Please read more on our technical analysis page.

CONTAINER CORPORATION July 9, 2020 Technical Indicators

Most technical analysis of CONTAINER 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 CONTAINER from various momentum indicators to cycle indicators. When you analyze CONTAINER 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 Performance(0.1)
Market Risk Adjusted Performance(0.29)
Mean Deviation2.4
Coefficient Of Variation(1,747)
Standard Deviation4.42
Variance19.56
Information Ratio(0.1)
Jensen Alpha(0.41)
Total Risk Alpha(0.65)
Treynor Ratio(0.30)
Maximum Drawdown36.99
Value At Risk(4.37)
Potential Upside5.46
Skewness(4.10)
Kurtosis26.8

CONTAINER CORPORATION July 9, 2020 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as CONTAINER stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution  532.81  
Daily Balance Of Power  0.49  
Rate Of Daily Change  1.01  
Day Median Price  427.45  
Day Typical Price  428.23  
Price Action Indicator  4.50  
Market Facilitation Index  0.000337  
Continue to Trending Equities. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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