Shipping (India) Technical Analysis
| SCI Stock | 234.87 0.34 0.14% |
As of the 2nd of December, Shipping has the Variance of 7.87, coefficient of variation of (1,601), and Risk Adjusted Performance of (0.04). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Shipping, as well as the relationship between them. Please validate Shipping variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if Shipping is priced more or less accurately, providing market reflects its prevalent price of 234.87 per share.
Shipping Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shipping, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShippingShipping |
Shipping 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.
Shipping Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Shipping volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Shipping Trend Analysis
Use this graph to draw trend lines for Shipping. You can use it to identify possible trend reversals for Shipping 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 Shipping price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Shipping Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Shipping applied against its price change over selected period. The best fit line has a slop of 0.81 , which may suggest that Shipping market price will keep on failing further. It has 122 observation points and a regression sum of squares at 24597.42, which is the sum of squared deviations for the predicted Shipping price change compared to its average price change.About Shipping 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 Shipping 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 Shipping based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shipping price pattern first instead of the macroeconomic environment surrounding Shipping. By analyzing Shipping'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 Shipping'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 Shipping specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shipping December 2, 2024 Technical Indicators
Most technical analysis of Shipping 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 Shipping from various momentum indicators to cycle indicators. When you analyze Shipping 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 2.09 | |||
| Coefficient Of Variation | (1,601) | |||
| Standard Deviation | 2.81 | |||
| Variance | 7.87 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.33) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 14.04 | |||
| Value At Risk | (4.18) | |||
| Potential Upside | 5.1 | |||
| Skewness | 0.553 | |||
| Kurtosis | 0.873 |
Complementary Tools for Shipping Stock analysis
When running Shipping's price analysis, check to measure Shipping's 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 Shipping is operating at the current time. Most of Shipping's value examination focuses on studying past and present price action to predict the probability of Shipping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shipping's price. Additionally, you may evaluate how the addition of Shipping to your portfolios can decrease your overall portfolio volatility.
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