Pampa Energa (Germany) Statistic Functions Linear Regression Slope

9PAA Stock  EUR 82.00  3.50  4.09%   
Pampa Energa statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Pampa Energa. Pampa Energa 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. Pampa Energa 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 Slope is the rate of change in Pampa Energa SA price series over its benchmark or peer price series.

Pampa Energa Technical Analysis Modules

Most technical analysis of Pampa Energa 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 Pampa from various momentum indicators to cycle indicators. When you analyze Pampa 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 Pampa Energa 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 Pampa Energa SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of Pampa Energa SA based on widely used predictive technical indicators. In general, we focus on analyzing Pampa Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Pampa Energa'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 Pampa Energa's intrinsic value. In addition to deriving basic predictive indicators for Pampa Energa, we also check how macroeconomic factors affect Pampa Energa price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
79.5282.0084.48
Details
Intrinsic
Valuation
LowRealHigh
73.8089.3891.87
Details
Naive
Forecast
LowNextHigh
78.9481.4283.91
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
78.8983.2587.61
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Pampa Energa. Your research has to be compared to or analyzed against Pampa Energa's peers to derive any actionable benefits. When done correctly, Pampa Energa's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Pampa Energa SA.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Other Information on Investing in Pampa Stock

Pampa Energa financial ratios help investors to determine whether Pampa Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pampa with respect to the benefits of owning Pampa Energa security.