Wool Industry (Greece) Technical Analysis
| AAAK Stock | EUR 4.48 0.44 10.89% |
As of the 26th of November, Wool Industry maintains the Mean Deviation of 3.67, standard deviation of 5.84, and Market Risk Adjusted Performance of (0.55). Wool Industry Tria technical analysis makes it possible for you to employ past prices and volume data with the intention to determine a pattern that calculates the direction of the company's future prices.
Wool Industry Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Wool, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WoolWool |
Wool Industry 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.
Wool Industry Tria 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 Wool Industry Tria volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Wool Industry Tria Trend Analysis
Use this graph to draw trend lines for Wool Industry Tria. You can use it to identify possible trend reversals for Wool Industry 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 Wool Industry price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Wool Industry Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Wool Industry Tria applied against its price change over selected period. The best fit line has a slop of 0.0093 , which may suggest that Wool Industry Tria market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.3, which is the sum of squared deviations for the predicted Wool Industry price change compared to its average price change.About Wool Industry 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 Wool Industry Tria 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 Wool Industry Tria based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Wool Industry Tria price pattern first instead of the macroeconomic environment surrounding Wool Industry Tria. By analyzing Wool Industry'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 Wool Industry'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 Wool Industry specific price patterns or momentum indicators. Please read more on our technical analysis page.
Wool Industry November 26, 2024 Technical Indicators
Most technical analysis of Wool 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 Wool from various momentum indicators to cycle indicators. When you analyze Wool 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 3.67 | |||
| Coefficient Of Variation | (3,444) | |||
| Standard Deviation | 5.84 | |||
| Variance | 34.14 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (1.09) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 20.71 | |||
| Value At Risk | (9.82) | |||
| Potential Upside | 10.89 | |||
| Skewness | 0.188 | |||
| Kurtosis | (0.09) |
Additional Tools for Wool Stock Analysis
When running Wool Industry's price analysis, check to measure Wool Industry'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 Wool Industry is operating at the current time. Most of Wool Industry's value examination focuses on studying past and present price action to predict the probability of Wool Industry's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wool Industry's price. Additionally, you may evaluate how the addition of Wool Industry to your portfolios can decrease your overall portfolio volatility.