The best indicator for Snap-on (SNA)
We backtested 366 indicators across daily, weekly and hourly charts on real Snap-on (SNA) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
QQE
On the weekly chart, this is the strongest risk-adjusted edge we found for Snap-on (SNA) over ~53.5 years — beating buy-and-hold by 0.5% CAGR.
Best multi-indicator combo
Going long only when all 2 agree was the strongest confluence setup we found for Snap-on (SNA) — trailing buy-and-hold by 3.1% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.
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 | QQE ✓ | Weekly | 10.1% | 0.49 | -54.6% | 49.7% | 161 | 0.5% |
| 2 | Markov Regime ✓ | Weekly | 8.6% | 0.48 | -62.4% | 64.0% | 89 | -0.9% |
| 3 | Money Flow Index ✓ | Daily | 7.4% | 0.47 | -59.1% | 76.5% | 68 | -2.0% |
| 4 | WaveTrend (8/6/4) ✓ | Weekly | 7.3% | 0.46 | -57.7% | 80.5% | 41 | -2.3% |
| 5 | DeMarker ✓ | Weekly | 5.9% | 0.46 | -55.0% | 90.2% | 41 | -3.6% |
| 6 | Negative Volume Index ✓ | Weekly | 7.8% | 0.45 | -54.2% | 50.0% | 24 | -1.8% |
| 7 | HMA 9/21 Cross ✓ | Weekly | 6.7% | 0.44 | -46.0% | 56.3% | 190 | -2.9% |
| 8 | Murrey Math Lines ✓ | Weekly | 5.9% | 0.43 | -50.7% | 88.9% | 27 | -3.6% |
| 9 | SMC: Liquidity Sweep ✓ | Weekly | 6.9% | 0.43 | -59.5% | 89.2% | 37 | -2.7% |
| 10 | McGinley 200 Trend ✓ | Daily | 7.8% | 0.42 | -69.6% | 32.1% | 78 | -1.6% |
| 11 | MA Envelope ✓ | Weekly | 6.6% | 0.42 | -56.4% | 70.4% | 115 | -3.0% |
| 12 | Intraday Momentum Index ✓ | Daily | 6.2% | 0.41 | -46.9% | 74.4% | 133 | -3.3% |
| 13 | Markov Regime (Confirmed) ✓ | Weekly | 6.0% | 0.41 | -54.8% | 58.1% | 198 | -3.6% |
| 14 | Stochastic RSI ✓ | Weekly | 5.3% | 0.4 | -48.1% | 78.3% | 83 | -4.2% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For Snap-on (SNA), QQE 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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