The best indicator for GameStop
We backtested 382 indicators across daily, weekly and hourly charts on real GameStop history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Where GameStop stands
Computed from our own daily OHLCV history, not quoted from a third party. Moving averages use closing prices; "52-week" is the last 252 trading sessions.
Bollinger Mean-Reversion
On the weekly chart, this is the strongest risk-adjusted edge we found for GameStop over ~24.5 years — beating buy-and-hold by 3.0% CAGR.
GameStop on the weekly chart
The timeframe our backtest found best for this asset. The chart is live market data; the results above are hypothetical and historical.
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The winner on each chart
Every indicator, ranked
Ranked by Sharpe (risk-adjusted return). Hypothetical, fees included.
| # | Indicator | TF | CAGR | Sharpe | Max DD | Win | Trades | vs B&H |
|---|---|---|---|---|---|---|---|---|
| 1 | Bollinger Mean-Reversion ✓ | Weekly | 13.9% | 0.55 | -43.5% | 78.3% | 23 | 3.0% |
| 2 | Fibonacci Bands ✓ | Weekly | 13.9% | 0.55 | -43.5% | 78.3% | 23 | 3.0% |
| 3 | Stoch RSI (fast) ✓ | Daily | 17.1% | 0.51 | -84.1% | 42.0% | 654 | 6.2% |
| 4 | Price Volume Trend ✓ | Daily | 14.0% | 0.5 | -88.3% | 42.2% | 225 | 3.1% |
| 5 | McGinley Dynamic ✓ | Daily | 11.4% | 0.48 | -88.5% | 41.6% | 233 | 0.5% |
| 6 | Ehlers Reflex ✓ | Daily | 13.6% | 0.48 | -85.5% | 45.8% | 201 | 2.7% |
| 7 | Jurik MA (approx.) ✓ | Daily | 15.2% | 0.48 | -84.9% | 41.8% | 577 | 4.3% |
| 8 | Murrey Math Lines ✓ | Daily | 13.6% | 0.48 | -79.5% | 69.7% | 66 | 2.7% |
| 9 | ADX Strong Trend ✓ | Daily | 14.0% | 0.47 | -91.0% | 46.4% | 84 | 3.1% |
| 10 | QQE ✓ | Daily | 9.3% | 0.47 | -93.8% | 39.6% | 374 | -1.6% |
| 11 | Exponential Hull MA ✓ | Daily | 12.5% | 0.46 | -85.4% | 42.3% | 454 | 1.6% |
| 12 | SMA 200 Trend ✓ | Daily | 12.6% | 0.46 | -88.3% | 32.4% | 71 | 1.7% |
| 13 | McGinley 100 Trend ✓ | Daily | 9.7% | 0.46 | -93.0% | 23.1% | 65 | -1.2% |
| 14 | McGinley 200 Trend ✓ | Daily | 8.8% | 0.46 | -91.7% | 16.7% | 30 | -2.1% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on GameStop
99 of 635 tested setups beat buy-and-hold on GameStop outright. Another 54 could get there with leverage they would survive — but 381 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Sine-Weighted MA | 2 | none needed | 1.17× |
| SSL Channel | 2 | none needed | 1.25× |
| Volume Zone Oscillator | 2 | none needed | 1.26× |
| FRAMA 100 Trend | 2 | none needed | 1.2× |
| Momentum (50) | 2 | none needed | 1.14× |
| Deviation-Scaled MA | 1 | 1.0× | 1.28× |
Out-of-sample, costs included. A setup is only listed if the leverage it needs is less than the leverage its own worst drawdown survives — when it isn't, no amount of leverage gets there. Volatility drag isn't modelled, so these are the optimistic case. Every indicator, ranked this way
For GameStop, Bollinger Mean-Reversion on the weekly timeframe gave the best balance of return and risk in our test. It beat buy-and-hold — but remember: this is a hypothetical backtest of a standard rule, not a recommendation. Markets change. See the methodology and disclaimer.
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