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GE Vernova Inc. (GEV) Corporate Logo

GE Vernova Inc. (GEV) Stock Price & Analysis

Market: NYSE • Sector: Utilities • Industry: Renewable Utilities

GE Vernova Inc. (GEV) Profile & Business Summary

GE Vernova LLC, an energy business company, generates electricity. It operates under three segments: Power, Wind, and Electrification. The Power segments generates and sells electricity through hydro, gas, nuclear, and steam power. Wind segment engages in the manufacturing and sale of wind turbine blades; and Electrification segment provides grid solutions, power conversion, solar, and storage solutions. The company was incorporated in 2023 and is based in Cambridge, Massachusetts.

Key Information

Ticker GEV
Exchange NYSE
Official Site https://www.gevernova.com
CIK Number 0001996810
View SEC Filings

Market Trend Overview for GEV

One model, two time views: what the market looks like right now, and where the larger trend is heading over time.

Longer-Term Market Trend (Mid to Long Term)

Shows the bigger market trend, how strong it is, and where risks may start to build over the next few weeks or months. — Updated as of 2026-08-17 (ET)

As of 2026-08-17, GEV is in a strong upward move. Over the longer term, the trend remains bullish.

GEV last closed at 1079.00. The price is about 0.9 ATR above its recent average price (1039.52), and the market is currently in a strong upward move. Price at 1079.00 is holding above minor support near 982.00. If price continues higher, it may face minor resistance around 1095.00. View Support & Resistance from Options

Short-term and long-term trends are aligned, and momentum remains healthy, supporting further upside.

Trend Alignment Summary

Trend score: 95 out of 100. Overall alignment is strong. The market is currently in a strong and established uptrend. Trend signals are well aligned across timeframes, suggesting a stable and consistent trend.

Key Risk Level

A key downside risk boundary is near 886.66. If price falls below this area, the current structure would likely weaken further.

Recent Trend Signal

A systematic trend-activation signal was most recently triggered on 2026-08-12, reflecting a technical shift toward positive directional alignment.

Unusual Price Movement

[2026-08-14] Price moved quickly and looked strong, but participation was limited.

Recent Price Behavior

Recent price action shows orderly upward progression with no major deterioration in bar-level efficiency. Structural conditions remain broadly constructive.

Overnight Positioning

Selling pressure increased into the close, but price action remained uneven and lacked clean continuation.

Next-day directional probability forecast Last updated: 2026-08-17 (ET)
Next-session outlook for 2026-08-18 (ET)
Bullish setup for the next session

What the model sees

The model sees a credible bullish edge, with 66.5% upside probability, strong signal alignment, and reward/risk that remains meaningfully favorable.


Why the model says this

Up probability is 66.5%, with predictability at 62% and signal agreement at 93%. Reversal risk is 32%, while reward/risk stands at 0.33. That suggests the directional case is supported by broad confirmation and still retains usable quality. At the same time, price is still close to a gamma transition zone.

NOTE: This next-day up/down probability forecast module is still being tested for accuracy. Please do not rely on it for investment decisions. The model does not account for black swan events or company-specific fundamental news, and its estimates are based solely on technical conditions, capital flow, and market sentiment. View forecast history

Recent Cost Distribution Last updated: 2026-08-17 (ET)

This estimate uses 1-minute price, volume, and VWAP data from the last 18 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-08-17. The current price is 1079.00, 8.27% above the estimated average cost of 996.60. An estimated 96.2% of recent positioning is below the current price, while 3.6% is above it. The peak-density price is 1039.00. The largest concentrated cost region is 986.75 to 1041.25 and contains 53.3% of the estimated distribution. The nearest region below the current price is 1056.75 to 1058.75.

Short Interest & Covering Risk for GEV

This analysis looks at overall short interest positioning, focusing on the broader setup rather than short-term noise.

Squeeze Score 0.39

Shows how likely a short squeeze may be under current market conditions.

Key Market Risk Indicators
Short Crowding (Short Interest / Float) 3.21%
Short Positions Trend Not Increasing
Liquidity Trend (Average Daily Volume) 27.20%
20-Day Return -0.02%
Price vs 20-Day High Trading Near Highs

Short Exposure Percentile

Short interest is well above normal levels, increasing the risk of forced covering and sudden price moves. (Historical percentile: 78%)

Structure Analysis

GEV Short positioning looks normal. Current days to cover is 2.6 trading days, meaning short positions could unwind at a normal pace. Short covering is likely to have a normal impact on price moves. No meaningful structural fragility is currently detected (Fragility Score 24/100, DTC percentile 50%) as price consolidates near recent highs (20D return -0.0%).

Risk Summary

No clear bull trap characteristics detected. Recent price behavior remains broadly consistent with current positioning.This reading helps confirm that current price action remains structurally healthy and does not indicate elevated trap risk.

Why Price Reactions May Be Stronger?

Price action is compressing (range is tightening), which can make breaks more sensitive. Price is consolidating near highs with a weak upward bias; surface strength may mask a more fragile structure. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. High-level consolidation and compression suggest a fragile upside structure. As a result, similar news or market events could lead to price moves about 1× larger than usual.


Note: Short interest data is reported every two weeks by FINRA. The most recent snapshot is 2026-07-31 (ET).
Because this data updates slowly, it is not intended to predict short-term price moves. Instead, it helps describe longer-term market structure and where pressure may be building if prices begin to move.

Analytical Modules