Kerry Logistics Network Stock Technical Analysis
KRRYF Stock | USD 1.00 0.82 45.05% |
As of the 30th of November, Kerry Logistics secures the Standard Deviation of 7.05, mean deviation of 1.9, and Risk Adjusted Performance of (0.05). Kerry Logistics Network technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We have analyzed and interpolated eleven technical drivers for Kerry Logistics, which can be compared to its peers in the industry. Please verify Kerry Logistics Network market risk adjusted performance and total risk alpha to decide if Kerry Logistics Network is priced some-what accurately, providing market reflects its recent price of 1.0 per share. Given that Kerry Logistics Network is a hitting penny stock territory we strongly suggest to closely look at its information ratio.
Kerry Logistics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Kerry, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KerryKerry |
Kerry Logistics technical otc 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, otc market cycles, or different charting patterns.
Kerry Logistics Network Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Kerry Logistics Network volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Kerry Logistics Network Trend Analysis
Use this graph to draw trend lines for Kerry Logistics Network. You can use it to identify possible trend reversals for Kerry Logistics 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 Kerry Logistics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Kerry Logistics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Kerry Logistics Network applied against its price change over selected period. The best fit line has a slop of 0 , which means Kerry Logistics Network will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.28, which is the sum of squared deviations for the predicted Kerry Logistics price change compared to its average price change.About Kerry Logistics 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 Kerry Logistics Network 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 Kerry Logistics Network based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Kerry Logistics Network price pattern first instead of the macroeconomic environment surrounding Kerry Logistics Network. By analyzing Kerry Logistics'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 Kerry Logistics'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 Kerry Logistics specific price patterns or momentum indicators. Please read more on our technical analysis page.
Kerry Logistics November 30, 2024 Technical Indicators
Most technical analysis of Kerry 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 Kerry from various momentum indicators to cycle indicators. When you analyze Kerry 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 | (0.05) | |||
Market Risk Adjusted Performance | (0.23) | |||
Mean Deviation | 1.9 | |||
Coefficient Of Variation | (1,300) | |||
Standard Deviation | 7.05 | |||
Variance | 49.66 | |||
Information Ratio | (0.1) | |||
Jensen Alpha | (0.84) | |||
Total Risk Alpha | (1.73) | |||
Treynor Ratio | (0.24) | |||
Maximum Drawdown | 52.17 | |||
Skewness | (6.02) | |||
Kurtosis | 46.2 |
Complementary Tools for Kerry OTC Stock analysis
When running Kerry Logistics' price analysis, check to measure Kerry Logistics' 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 Kerry Logistics is operating at the current time. Most of Kerry Logistics' value examination focuses on studying past and present price action to predict the probability of Kerry Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kerry Logistics' price. Additionally, you may evaluate how the addition of Kerry Logistics to your portfolios can decrease your overall portfolio volatility.
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