Ge Vernova Llc Stock Price Prediction
| GEV Stock | 339.85 2.92 0.85% |
Oversold Vs Overbought
82
Oversold | Overbought |
EPS Estimate Current Year 3.23 | EPS Estimate Next Year 5.63 | Wall Street Target Price 168.86 | Quarterly Revenue Growth 0.064 |
Using GE Vernova hype-based prediction, you can estimate the value of GE Vernova LLC from the perspective of GE Vernova response to recently generated media hype and the effects of current headlines on its competitors.
GE Vernova LLC Hype to Price Pattern
Investor biases related to GE Vernova's public news can be used to forecast risks associated with an investment in GEV. The trend in average sentiment can be used to explain how an investor holding GEV can time the market purely based on public headlines and social activities around GE Vernova LLC. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of GE Vernova's market sentiment to its price can help taders to make decisions based on the overall investors consensus about GE Vernova.
The fear of missing out, i.e., FOMO, can cause potential investors in GE Vernova to buy its stock at a price that has no basis in reality. In that case, they are not buying GEV because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
GE Vernova after-hype prediction price | USD 341.49 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
GEV |
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.
GE Vernova After-Hype Price Prediction Density Analysis
As far as predicting the price of GE Vernova at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in GE Vernova or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of GE Vernova, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
GE Vernova Estimiated After-Hype Price Volatility
In the context of predicting GE Vernova's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on GE Vernova's historical news coverage. GE Vernova's after-hype downside and upside margins for the prediction period are 338.99 and 343.99, respectively. We have considered GE Vernova's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
GE Vernova is very steady at this time. Analysis and calculation of next after-hype price of GE Vernova LLC is based on 3 months time horizon.
GE Vernova Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as GE Vernova is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GE Vernova backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with GE Vernova, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
1.00 | 2.50 | 1.64 | 0.25 | 9 Events / Month | 5 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
339.85 | 341.49 | 0.48 |
|
GE Vernova Hype Timeline
On the 21st of November GE Vernova LLC is traded for 339.85. The entity has historical hype elasticity of 1.64, and average elasticity to hype of competition of -0.25. GEV is forecasted to increase in value after the next headline, with the price projected to jump to 341.49 or above. The average volatility of media hype impact on the company the price is about 152.44%. The price increase on the next news is projected to be 0.48%, whereas the daily expected return is currently at 1.0%. The volatility of related hype on GE Vernova is about 1005.75%, with the expected price after the next announcement by competition of 339.60. The company reported the last year's revenue of 33.24 B. Reported Net Loss for the year was (438 M) with profit before taxes, overhead, and interest of 0. Considering the 90-day investment horizon the next forecasted press release will be in about 9 days. Check out GE Vernova Basic Forecasting Models to cross-verify your projections.GE Vernova Related Hype Analysis
Having access to credible news sources related to GE Vernova's direct competition is more important than ever and may enhance your ability to predict GE Vernova's future price movements. Getting to know how GE Vernova's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how GE Vernova may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SNCY | Sun Country Airlines | 0.01 | 7 per month | 2.59 | 0.15 | 8.41 | (4.50) | 16.71 | |
| WFCF | Where Food Comes | 0.11 | 6 per month | 1.43 | (0.04) | 3.34 | (2.07) | 8.33 | |
| IH | Ihuman Inc | 0.03 | 4 per month | 2.95 | 0.02 | 6.16 | (4.88) | 22.95 | |
| DIT | AMCON Distributing | (3.00) | 7 per month | 0.00 | (0.06) | 7.69 | (5.43) | 20.23 | |
| PAL | Proficient Auto Logistics, | 0.13 | 10 per month | 0.00 | (0.23) | 4.52 | (5.04) | 33.63 | |
| MRRTY | Marfrig Global Foods | 0.00 | 0 per month | 2.65 | 0.02 | 5.04 | (5.00) | 11.51 | |
| TSN | Tyson Foods | 0.98 | 9 per month | 1.44 | (0.03) | 1.73 | (2.48) | 9.06 |
GE Vernova Additional Predictive Modules
Most predictive techniques to examine GEV price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GEV using various technical 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About GE Vernova Predictive Indicators
The successful prediction of GE Vernova stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as GE Vernova LLC, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of GE Vernova based on analysis of GE Vernova hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to GE Vernova's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to GE Vernova's related companies. | 2010 | 2023 | 2024 (projected) | Days Sales Outstanding | 183.1 | 151.28 | 183.91 | PTB Ratio | 3.35 | 4.82 | 3.26 |
Story Coverage note for GE Vernova
The number of cover stories for GE Vernova depends on current market conditions and GE Vernova's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that GE Vernova is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about GE Vernova's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
GE Vernova Short Properties
GE Vernova's future price predictability will typically decrease when GE Vernova's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of GE Vernova LLC often depends not only on the future outlook of the potential GE Vernova's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. GE Vernova's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 272.1 M | |
| Cash And Short Term Investments | 1.6 B |
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.