Talanx AG (Germany) Statistic Functions Linear Regression Angle

TLX Stock   79.90  1.00  1.24%   
Talanx AG statistic functions tool provides the execution environment for running the Linear Regression Angle function and other technical functions against Talanx AG. Talanx AG 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Angle function function is designed to identify and follow existing trends. Talanx AG statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
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 Linear Regression Angle indicator plots the angel of the trend line for each Talanx AG data point.

Talanx AG Technical Analysis Modules

Most technical analysis of Talanx AG 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 Talanx from various momentum indicators to cycle indicators. When you analyze Talanx 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 Talanx AG 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 Talanx AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Talanx AG based on widely used predictive technical indicators. In general, we focus on analyzing Talanx Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Talanx AG'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 Talanx AG's intrinsic value. In addition to deriving basic predictive indicators for Talanx AG, we also check how macroeconomic factors affect Talanx AG 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 Talanx AG'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
78.4379.9081.37
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Intrinsic
Valuation
LowRealHigh
77.4978.9680.43
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Additional Tools for Talanx Stock Analysis

When running Talanx AG's price analysis, check to measure Talanx 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 Talanx AG is operating at the current time. Most of Talanx AG's value examination focuses on studying past and present price action to predict the probability of Talanx 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 Talanx AG's price. Additionally, you may evaluate how the addition of Talanx AG to your portfolios can decrease your overall portfolio volatility.