Arcticzymes Technologies (UK) Technical Analysis
| 0DRV Stock | 13.20 0.20 1.49% |
As of the 2nd of December, Arcticzymes Technologies shows the mean deviation of 1.77, and Risk Adjusted Performance of (0.16). Arcticzymes Technologies 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. Please confirm Arcticzymes Technologies mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Arcticzymes Technologies is priced correctly, providing market reflects its regular price of 13.2 per share.
Arcticzymes Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Arcticzymes, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ArcticzymesArcticzymes |
Arcticzymes Technologies 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.
Arcticzymes Technologies Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Arcticzymes Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Arcticzymes Technologies Trend Analysis
Use this graph to draw trend lines for Arcticzymes Technologies ASA. You can use it to identify possible trend reversals for Arcticzymes Technologies 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 Arcticzymes Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Arcticzymes Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Arcticzymes Technologies ASA applied against its price change over selected period. The best fit line has a slop of 0.08 , which may suggest that Arcticzymes Technologies ASA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 244.14, which is the sum of squared deviations for the predicted Arcticzymes Technologies price change compared to its average price change.About Arcticzymes Technologies 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 Arcticzymes Technologies ASA 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 Arcticzymes Technologies ASA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Arcticzymes Technologies price pattern first instead of the macroeconomic environment surrounding Arcticzymes Technologies. By analyzing Arcticzymes Technologies'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 Arcticzymes Technologies'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 Arcticzymes Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Arcticzymes Technologies December 2, 2024 Technical Indicators
Most technical analysis of Arcticzymes 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 Arcticzymes from various momentum indicators to cycle indicators. When you analyze Arcticzymes 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 | (0.16) | |||
| Market Risk Adjusted Performance | (3.84) | |||
| Mean Deviation | 1.77 | |||
| Coefficient Of Variation | (462.71) | |||
| Standard Deviation | 2.97 | |||
| Variance | 8.81 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (0.67) | |||
| Total Risk Alpha | (1.15) | |||
| Treynor Ratio | (3.85) | |||
| Maximum Drawdown | 18.39 | |||
| Value At Risk | (8.75) | |||
| Potential Upside | 2.53 | |||
| Skewness | (1.64) | |||
| Kurtosis | 5.16 |
Additional Tools for Arcticzymes Stock Analysis
When running Arcticzymes Technologies' price analysis, check to measure Arcticzymes Technologies' 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 Arcticzymes Technologies is operating at the current time. Most of Arcticzymes Technologies' value examination focuses on studying past and present price action to predict the probability of Arcticzymes Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arcticzymes Technologies' price. Additionally, you may evaluate how the addition of Arcticzymes Technologies to your portfolios can decrease your overall portfolio volatility.