SM Energy (UK) Cycle Indicators Hilbert Transform SineWave
| 0KZA Stock | 40.34 0.22 0.54% |
| Symbol |
Indicator |
The minimum time period for execution of this function requires larger time horizon. Please increase the time horizon for this function. The output start index for this execution was zero with a total number of output elements of zero. The Hilbert Transform - SineWave indicator is the sine of the Dominant Cycle Phase indicator which is used to generate in-phase and quadrature components of SM Energy price series.
SM Energy Technical Analysis Modules
Most technical analysis of SM Energy 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About SM Energy Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SM Energy Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of SM Energy Co based on widely used predictive technical indicators. In general, we focus on analyzing 0KZA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SM Energy's daily price indicators and compare them against related drivers, such as cycle indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of SM Energy's intrinsic value. In addition to deriving basic predictive indicators for SM Energy, we also check how macroeconomic factors affect SM Energy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SM Energy in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SM Energy's short interest history, or implied volatility extrapolated from SM Energy options trading.
Trending Themes
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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.