Bayer AG (Germany) Technical Analysis

BAYN Stock   18.94  0.07  0.37%   
As of the 22nd of December, Bayer AG shows the Mean Deviation of 1.46, standard deviation of 2.44, and Risk Adjusted Performance of (0.19). Bayer AG NA technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Bayer AG NA mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Bayer AG NA is priced correctly, providing market reflects its regular price of 18.94 per share.

Bayer AG Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bayer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Bayer
  
Bayer AG's 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.
Bayer AG 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 Bayer AG technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Bayer AG 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...

Bayer AG NA 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 Bayer AG NA volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Bayer AG NA Trend Analysis

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

Bayer AG Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Bayer AG NA applied against its price change over selected period. The best fit line has a slop of   0.2  , which may suggest that Bayer AG NA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1525.06, which is the sum of squared deviations for the predicted Bayer AG price change compared to its average price change.

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

Bayer AG December 22, 2024 Technical Indicators

Most technical analysis of Bayer 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 Bayer from various momentum indicators to cycle indicators. When you analyze Bayer 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 Bayer Stock analysis

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