Ge Vernova Llc Stock Statistic Functions Linear Regression Slope

GEV Stock   349.16  9.31  2.74%   
GE Vernova statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against GE Vernova. GE Vernova 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. GE Vernova 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 eleven with a total number of output elements of fifty. The Linear Regression Slope is the rate of change in GE Vernova LLC price series over its benchmark or peer price series.

GE Vernova Technical Analysis Modules

Most technical analysis of GE Vernova 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 GEV from various momentum indicators to cycle indicators. When you analyze GEV 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 GE Vernova 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 GE Vernova LLC. We use our internally-developed statistical techniques to arrive at the intrinsic value of GE Vernova LLC based on widely used predictive technical indicators. In general, we focus on analyzing GEV Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GE Vernova'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 GE Vernova's intrinsic value. In addition to deriving basic predictive indicators for GE Vernova, we also check how macroeconomic factors affect GE Vernova price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2010 2023 2024 (projected)
Days Sales Outstanding183.1173.81196.31
PTB Ratio3.354.823.26
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GE Vernova'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
345.47347.95350.43
Details
Intrinsic
Valuation
LowRealHigh
264.72267.20384.08
Details
Naive
Forecast
LowNextHigh
331.64334.12336.60
Details
25 Analysts
Consensus
LowTargetHigh
153.66168.86187.43
Details

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Additional Tools for GEV Stock Analysis

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