Upm Kymmene Oyj Stock Technical Analysis
| UPMMY Stock | USD 26.57 0.02 0.08% |
As of the 22nd of November, UPM-Kymmene Oyj has the variance of 2.44, and Risk Adjusted Performance of (0.16). Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of UPM Kymmene Oyj, as well as the relationship between them.
UPM-Kymmene Oyj Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as UPM-Kymmene, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UPM-KymmeneUPM-Kymmene |
UPM-Kymmene Oyj technical pink sheet 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, pink sheet market cycles, or different charting patterns.
UPM Kymmene Oyj 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 UPM Kymmene Oyj volatility. High ATR values indicate high volatility, and low values indicate low volatility.
UPM Kymmene Oyj Trend Analysis
Use this graph to draw trend lines for UPM Kymmene Oyj. You can use it to identify possible trend reversals for UPM-Kymmene Oyj 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 UPM-Kymmene Oyj price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.UPM-Kymmene Oyj Best Fit Change Line
The following chart estimates an ordinary least squares regression model for UPM Kymmene Oyj applied against its price change over selected period. The best fit line has a slop of 0.1 , which may suggest that UPM Kymmene Oyj market price will keep on failing further. It has 122 observation points and a regression sum of squares at 361.52, which is the sum of squared deviations for the predicted UPM-Kymmene Oyj price change compared to its average price change.About UPM-Kymmene Oyj 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 UPM Kymmene Oyj 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 UPM Kymmene Oyj based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on UPM Kymmene Oyj price pattern first instead of the macroeconomic environment surrounding UPM Kymmene Oyj. By analyzing UPM-Kymmene Oyj'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 UPM-Kymmene Oyj'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 UPM-Kymmene Oyj specific price patterns or momentum indicators. Please read more on our technical analysis page.
UPM-Kymmene Oyj November 22, 2024 Technical Indicators
Most technical analysis of UPM-Kymmene 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 UPM-Kymmene from various momentum indicators to cycle indicators. When you analyze UPM-Kymmene 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 | (2.32) | |||
| Mean Deviation | 1.26 | |||
| Coefficient Of Variation | (462.73) | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.44 | |||
| Information Ratio | (0.29) | |||
| Jensen Alpha | (0.36) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (2.33) | |||
| Maximum Drawdown | 6.61 | |||
| Value At Risk | (3.05) | |||
| Potential Upside | 2.37 | |||
| Skewness | (0.09) | |||
| Kurtosis | (0.43) |
UPM-Kymmene Oyj November 22, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as UPM-Kymmene stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 56.70 | ||
| Daily Balance Of Power | 0.14 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 26.63 | ||
| Day Typical Price | 26.61 | ||
| Price Action Indicator | (0.05) |
Additional Tools for UPM-Kymmene Pink Sheet Analysis
When running UPM-Kymmene Oyj's price analysis, check to measure UPM-Kymmene Oyj'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 UPM-Kymmene Oyj is operating at the current time. Most of UPM-Kymmene Oyj's value examination focuses on studying past and present price action to predict the probability of UPM-Kymmene Oyj's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UPM-Kymmene Oyj's price. Additionally, you may evaluate how the addition of UPM-Kymmene Oyj to your portfolios can decrease your overall portfolio volatility.