Mangold Fondkommission (Sweden) Statistic Functions Linear Regression Slope

MANG Stock  SEK 2,240  60.00  2.75%   
Mangold Fondkommission statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Mangold Fondkommission. Mangold Fondkommission 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 Slope function function is designed to identify and follow existing trends. Mangold Fondkommission 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 thirty-five with a total number of output elements of twenty-six. The Linear Regression Slope is the rate of change in Mangold Fondkommission price series over its benchmark or peer price series.

Mangold Fondkommission Technical Analysis Modules

Most technical analysis of Mangold Fondkommission 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 Mangold from various momentum indicators to cycle indicators. When you analyze Mangold 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 Mangold Fondkommission 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 Mangold Fondkommission AB. We use our internally-developed statistical techniques to arrive at the intrinsic value of Mangold Fondkommission AB based on widely used predictive technical indicators. In general, we focus on analyzing Mangold Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Mangold Fondkommission'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 Mangold Fondkommission's intrinsic value. In addition to deriving basic predictive indicators for Mangold Fondkommission, we also check how macroeconomic factors affect Mangold Fondkommission price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
2,2372,2402,243
Details
Intrinsic
Valuation
LowRealHigh
1,9411,9452,464
Details
Naive
Forecast
LowNextHigh
2,3532,3562,360
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2,1202,2002,280
Details

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Additional Tools for Mangold Stock Analysis

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