Mangalore Chemicals (India) Technical Analysis
MANGCHEFER | 144.79 3.69 2.62% |
As of the 26th of November, Mangalore Chemicals secures the Risk Adjusted Performance of 0.0505, downside deviation of 1.95, and Mean Deviation of 1.65. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Mangalore Chemicals, as well as the relationship between them. Please verify Mangalore Chemicals value at risk, and the relationship between the jensen alpha and semi variance to decide if Mangalore Chemicals Fertilizers is priced some-what accurately, providing market reflects its recent price of 144.79 per share.
Mangalore Chemicals Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mangalore, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MangaloreMangalore |
Mangalore Chemicals 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.
Mangalore Chemicals Technical Analysis
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 Mangalore Chemicals volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Mangalore Chemicals Trend Analysis
Use this graph to draw trend lines for Mangalore Chemicals Fertilizers. You can use it to identify possible trend reversals for Mangalore Chemicals 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 Mangalore Chemicals price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Mangalore Chemicals Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Mangalore Chemicals Fertilizers applied against its price change over selected period. The best fit line has a slop of 0.33 , which means Mangalore Chemicals Fertilizers will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4074.97, which is the sum of squared deviations for the predicted Mangalore Chemicals price change compared to its average price change.About Mangalore Chemicals 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 Mangalore Chemicals Fertilizers 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 Mangalore Chemicals Fertilizers based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Mangalore Chemicals price pattern first instead of the macroeconomic environment surrounding Mangalore Chemicals. By analyzing Mangalore Chemicals'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 Mangalore Chemicals'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 Mangalore Chemicals specific price patterns or momentum indicators. Please read more on our technical analysis page.
Mangalore Chemicals November 26, 2024 Technical Indicators
Most technical analysis of Mangalore 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 Mangalore from various momentum indicators to cycle indicators. When you analyze Mangalore 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 | 0.0505 | |||
Market Risk Adjusted Performance | 0.2411 | |||
Mean Deviation | 1.65 | |||
Semi Deviation | 1.8 | |||
Downside Deviation | 1.95 | |||
Coefficient Of Variation | 1736.75 | |||
Standard Deviation | 2.2 | |||
Variance | 4.84 | |||
Information Ratio | (0.0009) | |||
Jensen Alpha | 0.0568 | |||
Total Risk Alpha | (0.22) | |||
Sortino Ratio | (0) | |||
Treynor Ratio | 0.2311 | |||
Maximum Drawdown | 9.87 | |||
Value At Risk | (3.13) | |||
Potential Upside | 3.6 | |||
Downside Variance | 3.8 | |||
Semi Variance | 3.26 | |||
Expected Short fall | (2.00) | |||
Skewness | 0.4492 | |||
Kurtosis | 0.7385 |
Complementary Tools for Mangalore Stock analysis
When running Mangalore Chemicals' price analysis, check to measure Mangalore Chemicals' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Mangalore Chemicals is operating at the current time. Most of Mangalore Chemicals' value examination focuses on studying past and present price action to predict the probability of Mangalore Chemicals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mangalore Chemicals' price. Additionally, you may evaluate how the addition of Mangalore Chemicals to your portfolios can decrease your overall portfolio volatility.
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