Siemens Energy Ag Stock Volatility Indicators Average True Range

SMNEY Stock  USD 51.55  1.20  2.38%   
Siemens Energy volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Siemens Energy. Siemens Energy value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Siemens Energy volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

Indicator
Time Period
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The output start index for this execution was four with a total number of output elements of fifty-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 Siemens Energy AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.

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.

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 Pink Sheet 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 volatility 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 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.
Hype
Prediction
LowEstimatedHigh
49.0751.5554.03
Details
Intrinsic
Valuation
LowRealHigh
50.9353.4155.89
Details
Naive
Forecast
LowNextHigh
48.5551.0453.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
37.1145.0753.03
Details

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Additional Tools for Siemens Pink Sheet 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.