Siemens Healthineers (Germany) Technical Analysis

SHL Stock  EUR 52.16  0.30  0.57%   
As of the 23rd of December, Siemens Healthineers has the Coefficient Of Variation of 1289.85, semi deviation of 1.12, and Risk Adjusted Performance of 0.0665. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Siemens Healthineers, as well as the relationship between them. Please validate Siemens Healthineers coefficient of variation, jensen alpha, potential upside, as well as the relationship between the variance and maximum drawdown to decide if Siemens Healthineers is priced more or less accurately, providing market reflects its prevalent price of 52.16 per share.

Siemens Healthineers Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Siemens, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Siemens
  
Siemens Healthineers' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Siemens Healthineers 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.
A focus of Siemens Healthineers technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Siemens Healthineers trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Siemens Healthineers Technical Analysis

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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 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 Healthineers volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Siemens Healthineers Trend Analysis

Use this graph to draw trend lines for Siemens Healthineers AG. You can use it to identify possible trend reversals for Siemens Healthineers 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 Siemens Healthineers price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Siemens Healthineers Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Siemens Healthineers AG applied against its price change over selected period. The best fit line has a slop of   0.01  , which means Siemens Healthineers AG will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2.57, which is the sum of squared deviations for the predicted Siemens Healthineers price change compared to its average price change.

About Siemens Healthineers 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 Siemens Healthineers AG 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 Siemens Healthineers AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Siemens Healthineers price pattern first instead of the macroeconomic environment surrounding Siemens Healthineers. By analyzing Siemens Healthineers'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 Siemens Healthineers'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 Siemens Healthineers specific price patterns or momentum indicators. Please read more on our technical analysis page.

Siemens Healthineers December 23, 2024 Technical Indicators

Most technical analysis of Siemens 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Complementary Tools for Siemens Stock analysis

When running Siemens Healthineers' price analysis, check to measure Siemens Healthineers' 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 Healthineers is operating at the current time. Most of Siemens Healthineers' value examination focuses on studying past and present price action to predict the probability of Siemens Healthineers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siemens Healthineers' price. Additionally, you may evaluate how the addition of Siemens Healthineers to your portfolios can decrease your overall portfolio volatility.
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