GameStop Corp. (GME) Stock Price & Analysis
Market: NYSE • Sector: Consumer Cyclical • Industry: Specialty Retail
GameStop Corp. (GME) Profile & Business Summary
GameStop Corp., a specialty retailer, provides games and entertainment products through its e-commerce properties and various stores in the United States, Canada, Australia, and Europe. The company sells new and pre-owned gaming platforms; accessories, such as controllers, gaming headsets, virtual reality products, and memory cards; new and pre-owned gaming software; and in-game digital currency, digital downloadable content, and full-game downloads. It also sells collectibles comprising licensed merchandise primarily related to the gaming, television, and movie industries, as well as pop culture themes. As of January 29, 2022, the company operated 4,573 stores and ecommerce sites under the GameStop, EB Games, and Micromania brands; and 50 pop culture themed stores that sell collectibles, apparel, gadgets, electronics, toys, and other retail products under the Zing Pop Culture brand, as well as offers Game Informer, a print and digital video game publication featuring reviews of new releases, previews of the big titles on the horizon, and coverage of the latest developments in the gaming industry. The company was formerly known as GSC Holdings Corp. GameStop Corp. was founded in 1996 and is headquartered in Grapevine, Texas.
Key Information
| Ticker | GME |
|---|---|
| Exchange | NYSE |
| Official Site | https://www.gamestop.com |
Market Trend Overview for GME
One model, two time views: what the market looks like right now, and where the larger trend is heading over time.
SRE (WhaleQuant Structural Regime Engine) SRE evaluates how price structure evolves across daily and weekly timeframes to define the prevailing market regime. Beyond identifying trends, consolidations, and exhaustion phases, it distinguishes between raw structural strength and deployable participation quality. The model dynamically adjusts for structural context and extension risk, assessing whether conditions are supportive, stretched, fragile, or structurally impaired. Its purpose is not to forecast precise price levels, but to determine whether risk deployment is aligned with underlying market structure.
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 2026-08-28 (ET)
As of 2026-08-28, GME is showing signs of slowing down. Over the longer term, the trend remains bullish.
GME last closed at 17.87. The price is about 0.4 ATR below its recent average price (18.30), and the market is currently in a trend that may be losing strength. Price at 17.87 is near minor support around 17.79. Momentum may slow, while minor resistance sits near 18.35. View Support & Resistance from Options
Short-term weakness is unfolding within a broader uptrend, suggesting a pullback rather than a full trend reversal.
Trend score: 55 out of 100. Overall alignment is unclear. The market is currently in a late-stage trend that may be losing strength. The longer-term trend is still positive, but short-term signals are not yet confirming it.
There is no clear key risk boundary right now.
On 2026-07-20, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
[2026-07-29] Price moved quickly and looked strong, but participation was limited.
Recent bars show mixed price behavior without a clear shift in structural quality or efficiency.
Some late-day positioning was observed, but it lacked strong overnight commitment.
The model stays neutral because the setup is not clear enough to justify a directional deployment.
The model does not deploy this setup because the signal stack remains conflicted and price is still close to a gamma transition zone. Predictability is 49%, agreement is 86%, and reversal risk is 23%.
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
This estimate uses 1-minute price, volume, and VWAP data from the last 27 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-08-28. The current price is 17.87, 5.38% below the estimated average cost of 18.89. An estimated 2.1% of recent positioning is below the current price, while 97.0% is above it. The peak-density price is 17.95. The largest concentrated cost region is 17.85 to 18.09 and contains 21.1% of the estimated distribution. The current price is within the 17.85 to 18.09 cost region. The nearest region above the current price is 18.11 to 18.29.
Short Interest & Covering Risk for GME
This analysis looks at overall short interest positioning, focusing on the broader setup rather than short-term noise.
Shows how likely a short squeeze may be under current market conditions.
Short Exposure Percentile
Short interest is relatively low, indicating limited pressure from short positions. (Historical percentile: 8%)
Structure Analysis
GME Short positioning is starting to look crowded. Current days to cover is 17.1 trading days, meaning short positions would unwind more slowly than usual. Short covering could add extra momentum to price moves. Price is already trending lower (20D return -17.7%). The current configuration reflects active downside pressure rather than latent structural fragility.
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?
Days-to-Cover is elevated versus its own history, but absolute short interest remains moderate. Average trading volume is weakening, indicating contracting liquidity. Price action is compressing (range is tightening), which can make breaks more sensitive. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. As a result, similar news or market events could lead to price moves about 3× 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.