SM Energy (UK) Technical Analysis
| 0KZA Stock | 40.56 0.59 1.43% |
As of the 12th of December 2024, SM Energy owns the Mean Deviation of 1.85, risk adjusted performance of 0.0358, and Downside Deviation of 2.93. SM Energy Co technical analysis provides you with a way to harness past data patterns to determine a pattern that measures the direction of the company's future prices. Please validate SM Energy semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if SM Energy Co is priced adequately, providing market reflects its prevailing price of 40.56 per share.
SM Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 0KZA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 0KZA0KZA |
SM Energy 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.
SM Energy Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-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 SM Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SM Energy Trend Analysis
Use this graph to draw trend lines for SM Energy Co. You can use it to identify possible trend reversals for SM Energy 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 SM Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SM Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SM Energy Co applied against its price change over selected period. The best fit line has a slop of 0.03 , which means SM Energy Co will continue generating value for investors. It has 122 observation points and a regression sum of squares at 38.77, which is the sum of squared deviations for the predicted SM Energy price change compared to its average price change.About SM Energy 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 SM Energy Co 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 SM Energy Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SM Energy price pattern first instead of the macroeconomic environment surrounding SM Energy. By analyzing SM Energy'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 SM Energy'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 SM Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
SM Energy December 12, 2024 Technical Indicators
Most technical analysis of 0KZA 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 0KZA from various momentum indicators to cycle indicators. When you analyze 0KZA 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 | 0.0358 | |||
| Market Risk Adjusted Performance | 0.3316 | |||
| Mean Deviation | 1.85 | |||
| Semi Deviation | 2.7 | |||
| Downside Deviation | 2.93 | |||
| Coefficient Of Variation | 2516.54 | |||
| Standard Deviation | 2.46 | |||
| Variance | 6.05 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0565 | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.3216 | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (4.24) | |||
| Potential Upside | 3.69 | |||
| Downside Variance | 8.56 | |||
| Semi Variance | 7.32 | |||
| Expected Short fall | (1.75) | |||
| Skewness | (0.65) | |||
| Kurtosis | 0.5951 |
SM Energy December 12, 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 0KZA 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 | 5.07 | ||
| Daily Balance Of Power | (0.82) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 40.56 | ||
| Day Typical Price | 40.56 | ||
| Price Action Indicator | (0.29) | ||
| Market Facilitation Index | 0 |
Additional Tools for 0KZA Stock Analysis
When running SM Energy's price analysis, check to measure SM Energy'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 SM Energy is operating at the current time. Most of SM Energy's value examination focuses on studying past and present price action to predict the probability of SM Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SM Energy's price. Additionally, you may evaluate how the addition of SM Energy to your portfolios can decrease your overall portfolio volatility.