GameStop Corporation (GME)
US listed · Consumer Cyclical · Specialty Retail
This page tracks GameStop Corporation (GME) with live price data, technical indicators (RSI, MACD, moving averages, Sharpe ratio), and AI-powered analysis. Our scanner continuously reviews GME against ~5,000 North American equities — fusing market fundamentals with frontier AI to surface high-conviction opportunities before they break out.
New to these indicators? RSI, MACD, and moving averages explained — plus how AI forecasting works.
Latest AI Analysis
Updated Jul 2, 2026The pre-screen composite score of -1.38 is only marginal, and it is directly contradicted by the last two weeks of price action, which shows a steady climb from ~$20.90 to $22.82 with mostly higher closes and a MACD histogram that has turned positive. However, today's move came on just 0.5x average volume, and the 1Y Sharpe (-0.51) and CAGR (-18.4%) reflect a still-negative longer-term trend, so conviction in either direction is limited.
No buy/sell call, target or confidence is shown: tracked against what stocks did next, they have not predicted direction.
GME — Frequently Asked Questions
Is GameStop Corporation (GME) a buy right now?
StockTracker AI does not rate GME a buy or a sell. As of July 2, 2026 its AI analysis sets out the evidence and the risks instead. Tracked against what stocks did next, its buy/sell calls have not predicted direction, so they are not shown. This is informational analysis, not financial advice or a recommendation to trade — confirm it against your own research and risk tolerance.
What is the AI price forecast for GME?
StockTracker AI generates a probability-weighted 30-day price forecast for GME — a mathematical baseline (regression on recent prices) adjusted by an AI model for news, earnings proximity, and the current macro regime, with bull/base/bear scenarios. Sign in to generate the latest forecast.
How does StockTracker AI analyze GME?
Each scan screens GME on momentum, RSI, MACD, moving-average posture, Sharpe ratio, and 1-year CAGR to build a composite score, then a frontier AI model reviews the full picture — fundamentals, macro context, and recent news — to confirm or challenge the signal before it's surfaced.
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