HMS Bergbau (Germany) Statistic Functions Linear Regression Angle

HMU Stock   29.20  0.20  0.68%   
HMS Bergbau statistic functions tool provides the execution environment for running the Linear Regression Angle function and other technical functions against HMS Bergbau. HMS Bergbau 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. HMS Bergbau 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
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Linear Regression Angle indicator plots the angel of the trend line for each HMS Bergbau AG data point.

HMS Bergbau Technical Analysis Modules

Most technical analysis of HMS Bergbau 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 HMS from various momentum indicators to cycle indicators. When you analyze HMS 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 HMS Bergbau 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 HMS Bergbau AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of HMS Bergbau AG based on widely used predictive technical indicators. In general, we focus on analyzing HMS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build HMS Bergbau'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 HMS Bergbau's intrinsic value. In addition to deriving basic predictive indicators for HMS Bergbau, we also check how macroeconomic factors affect HMS Bergbau 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 HMS Bergbau'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
27.9829.2030.42
Details
Intrinsic
Valuation
LowRealHigh
26.2831.9733.19
Details

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Additional Tools for HMS Stock Analysis

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