New Era Helium Stock Statistic Functions Linear Regression Slope

NEHCW Stock   0.17  0.03  15.00%   
New Era statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against New Era. New Era 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. New Era 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 Slope is the rate of change in New Era Helium price series over its benchmark or peer price series.

New Era Technical Analysis Modules

Most technical analysis of New Era 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 New from various momentum indicators to cycle indicators. When you analyze New 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 New Era 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 New Era Helium. We use our internally-developed statistical techniques to arrive at the intrinsic value of New Era Helium based on widely used predictive technical indicators. In general, we focus on analyzing New Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build New Era'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 New Era's intrinsic value. In addition to deriving basic predictive indicators for New Era, we also check how macroeconomic factors affect New Era 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 New Era'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
0.010.1717.02
Details
Intrinsic
Valuation
LowRealHigh
0.010.2017.05
Details

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Additional Tools for New Stock Analysis

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