GE Vernova Stock Forward View
| GEV Stock | 815.59 8.08 0.98% |
GEV Stock outlook is based on your current time horizon.
At this time the relative strength index (rsi) of GE Vernova's share price is below 20 . This usually indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 6.717 | EPS Estimate Next Quarter 2.1584 | EPS Estimate Current Year 14.6251 | EPS Estimate Next Year 22.3317 | Wall Street Target Price 826.116 |
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. We also analyze overall investor sentiment towards GE Vernova using GE Vernova's stock options and short interest. It helps to benchmark the overall future attitude of investors towards GEV using crowd psychology based on the activity and movement of GE Vernova's stock price.
GE Vernova Short Interest
An investor who is long GE Vernova may also wish to track short interest. As short interest increases, investors should be becoming more worried about GE Vernova and may potentially protect profits, hedge GE Vernova with its derivative instruments, or be ready for some potential downside.
200 Day MA 582.7557 | Short Percent 0.0264 | Short Ratio 2.29 | Shares Short Prior Month 7.1 M | 50 Day MA 669.8508 |
GEV Relative Strength Index
The Naive Prediction forecasted value of GE Vernova LLC on the next trading day is expected to be 819.97 with a mean absolute deviation of 14.82 and the sum of the absolute errors of 904.03.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.
GE Vernova Implied Volatility | 0.59 |
GE Vernova's implied volatility exposes the market's sentiment of GE Vernova LLC stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if GE Vernova's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that GE Vernova stock will not fluctuate a lot when GE Vernova's options are near their expiration.
The Naive Prediction forecasted value of GE Vernova LLC on the next trading day is expected to be 819.97 with a mean absolute deviation of 14.82 and the sum of the absolute errors of 904.03. GE Vernova after-hype prediction price | USD 827.14 |
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.
Check out Historical Fundamental Analysis of GE Vernova to cross-verify your projections. Prediction based on Rule 16 of the current GEV contract
Based on the Rule 16, the options market is currently suggesting that GE Vernova LLC will have an average daily up or down price movement of about 0.0369% per day over the life of the 2026-05-15 option contract. With GE Vernova trading at USD 815.59, that is roughly USD 0.3 . If you think that the market is fully incorporating GE Vernova's daily price movement you should consider acquiring GE Vernova LLC options at the current volatility level of 0.59%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-05-15 GEV Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast GE Vernova's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in GE Vernova's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for GE Vernova stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current GE Vernova's open interest, investors have to compare it to GE Vernova's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of GE Vernova is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in GEV. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 | ||
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| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the GE Vernova's financial statements to predict how it will affect future prices.
Cash | First Reported 2010-12-31 | Previous Quarter 8.8 B | Current Value 5.7 B | Quarterly Volatility 2.3 B |
GE Vernova Naive Prediction Price Forecast For the 13th of February 2026
Given 90 days horizon, the Naive Prediction forecasted value of GE Vernova LLC on the next trading day is expected to be 819.97 with a mean absolute deviation of 14.82, mean absolute percentage error of 402.55, and the sum of the absolute errors of 904.03.Please note that although there have been many attempts to predict GEV Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that GE Vernova's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GE Vernova Stock Forecast Pattern
| Backtest GE Vernova | GE Vernova Price Prediction | Research Analysis |
GE Vernova Forecasted Value
In the context of forecasting GE Vernova's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. GE Vernova's downside and upside margins for the forecasting period are 816.22 and 823.72, respectively. We have considered GE Vernova's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of GE Vernova stock data series using in forecasting. Note that when a statistical model is used to represent GE Vernova stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 124.1083 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 14.8201 |
| MAPE | Mean absolute percentage error | 0.0223 |
| SAE | Sum of the absolute errors | 904.0282 |
Predictive Modules for GE Vernova
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GE Vernova LLC. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 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 823.39 and 830.89, 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 compare with 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 Outlook 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 |
0.66 | 3.75 | 3.47 | 0.17 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
815.59 | 827.14 | 0.42 |
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GE Vernova Hype Timeline
On the 12th of February 2026 GE Vernova LLC is traded for 815.59. The entity has historical hype elasticity of 3.47, and average elasticity to hype of competition of -0.17. GEV is forecasted to increase in value after the next headline, with the price projected to jump to 827.14 or above. The average volatility of media hype impact on the company the price is about 71.43%. The price increase on the next news is projected to be 0.42%, whereas the daily expected return is currently at 0.66%. The volatility of related hype on GE Vernova is about 1485.15%, with the expected price after the next announcement by competition of 815.42. The company reported the last year's revenue of 38.07 B. Total Income to common stockholders was 4.88 B with profit before taxes, overhead, and interest of 7.65 B. Considering the 90-day investment horizon the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of GE Vernova 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 | |||
| NEE | Nextera Energy | (1.57) | 11 per month | 1.14 | 0.06 | 2.05 | (1.90) | 5.66 | |
| CEG | Constellation Energy Corp | (3.40) | 8 per month | 0.00 | (0.13) | 5.34 | (6.70) | 16.01 | |
| AQN | Algonquin Power Utilities | 0.10 | 7 per month | 0.88 | 0.09 | 3.22 | (1.69) | 11.76 | |
| SO | Southern Company | 0.71 | 9 per month | 1.04 | (0.09) | 1.50 | (1.81) | 4.07 | |
| ENLT | Enlight Renewable Energy | (0.53) | 9 per month | 2.37 | 0.29 | 5.93 | (4.51) | 14.49 | |
| DUK | Duke Energy | 2.19 | 9 per month | 0.95 | (0.08) | 1.58 | (1.39) | 4.59 | |
| ORA | Ormat Technologies | 0.31 | 12 per month | 1.66 | 0.01 | 2.95 | (2.41) | 8.06 | |
| CWEN | Clearway Energy Class | 0.17 | 9 per month | 1.30 | 0.08 | 2.53 | (2.65) | 8.60 |
Other Forecasting Options for GE Vernova
For every potential investor in GEV, whether a beginner or expert, GE Vernova's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GEV Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GEV. Basic forecasting techniques help filter out the noise by identifying GE Vernova's price trends.GE Vernova Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with GE Vernova stock to make a market-neutral strategy. Peer analysis of GE Vernova could also be used in its relative valuation, which is a method of valuing GE Vernova by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GE Vernova Market Strength Events
Market strength indicators help investors to evaluate how GE Vernova stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GE Vernova shares will generate the highest return on investment. By undertsting and applying GE Vernova stock market strength indicators, traders can identify GE Vernova LLC entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 815.59 | |||
| Day Typical Price | 815.59 | |||
| Price Action Indicator | (4.04) | |||
| Period Momentum Indicator | (8.08) |
GE Vernova Risk Indicators
The analysis of GE Vernova's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in GE Vernova's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gev stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.58 | |||
| Semi Deviation | 2.77 | |||
| Standard Deviation | 3.66 | |||
| Variance | 13.39 | |||
| Downside Variance | 10.82 | |||
| Semi Variance | 7.67 | |||
| Expected Short fall | (2.99) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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.
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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 | 276 M | |
| Cash And Short Term Investments | 8.8 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.