National Grid (Germany) Statistic Functions Linear Regression Slope

NNGF Stock   11.10  0.28  2.46%   
National Grid statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against National Grid. National Grid 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. National Grid 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
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in National Grid PLC price series over its benchmark or peer price series.

National Grid Technical Analysis Modules

Most technical analysis of National Grid 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 National from various momentum indicators to cycle indicators. When you analyze National 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 National Grid 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 National Grid PLC. We use our internally-developed statistical techniques to arrive at the intrinsic value of National Grid PLC based on widely used predictive technical indicators. In general, we focus on analyzing National Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build National Grid'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 National Grid's intrinsic value. In addition to deriving basic predictive indicators for National Grid, we also check how macroeconomic factors affect National Grid price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
10.2111.3812.55
Details
Intrinsic
Valuation
LowRealHigh
10.3811.5512.72
Details

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Additional Tools for National Stock Analysis

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