Siemens Energy (Germany) Statistic Functions Pearson Correlation Coefficient
| ENR Stock | 51.12 0.42 0.83% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Siemens Energy AG and its benchmark or peer.
Siemens Energy Technical Analysis Modules
Most technical analysis of Siemens 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 Siemens from various momentum indicators to cycle indicators. When you analyze Siemens 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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About Siemens 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 Siemens Energy AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Siemens Energy AG based on widely used predictive technical indicators. In general, we focus on analyzing Siemens Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Siemens Energy's daily price indicators and compare them against related drivers, such as statistic functions 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 Siemens Energy's intrinsic value. In addition to deriving basic predictive indicators for Siemens Energy, we also check how macroeconomic factors affect Siemens Energy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Siemens Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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 Siemens 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, Siemens Energy's short interest history, or implied volatility extrapolated from Siemens Energy options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Baby Boomer Prospects Invested over 40 shares | |
 | Momentum Invested over 50 shares | |
 | Power Assets Invested over 200 shares | |
 | Warren Buffett Holdings Invested few shares | |
 | Investor Favorites Invested few shares | |
 | Impulse Invested few shares | |
 | Macroaxis Index Invested few shares | |
 | Millennials Best Invested few shares | |
 | Technology Invested few shares | |
 | FinTech Invested few shares | |
Additional Tools for Siemens Stock Analysis
When running Siemens Energy's price analysis, check to measure Siemens 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 Siemens Energy is operating at the current time. Most of Siemens Energy's value examination focuses on studying past and present price action to predict the probability of Siemens 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 Siemens Energy's price. Additionally, you may evaluate how the addition of Siemens Energy to your portfolios can decrease your overall portfolio volatility.