The best indicator for Old Dominion (ODFL)
We backtested 20 indicators across daily, weekly and hourly charts on real Old Dominion (ODFL) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Stochastic
On the daily chart, this is the strongest risk-adjusted edge we found for Old Dominion (ODFL) over ~34.6 years — trailing buy-and-hold by 3.5% CAGR.
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 | Stochastic ✓ | Daily | 15.8% | 0.67 | -48.2% | 69.0% | 174 | -3.5% |
| 2 | Bollinger Mean-Reversion ✓ | Daily | 13.3% | 0.65 | -39.3% | 68.5% | 127 | -6.0% |
| 3 | Williams %R ✓ | Daily | 14.7% | 0.6 | -57.2% | 61.8% | 251 | -4.6% |
| 4 | SMA 50/200 Cross ✓ | Daily | 14.4% | 0.57 | -58.6% | 52.4% | 21 | -4.9% |
| 5 | EMA 20/50 Cross ✓ | Weekly | 13.2% | 0.56 | -63.2% | 35.3% | 17 | -5.8% |
| 6 | CCI ✓ | Daily | 13.2% | 0.54 | -46.8% | 74.0% | 177 | -6.1% |
| 7 | EMA 50/200 Cross ✓ | Daily | 12.7% | 0.53 | -65.2% | 41.7% | 24 | -6.6% |
| 8 | Donchian Breakout ✓ | Weekly | 8.1% | 0.44 | -50.3% | 50.0% | 26 | -10.9% |
| 9 | WaveTrend (8/6/4) ✓ | Daily | 9.5% | 0.43 | -67.6% | 66.1% | 121 | -9.7% |
| 10 | ADX / DMI ✓ | Weekly | 6.8% | 0.39 | -69.6% | 49.0% | 51 | -12.2% |
| 11 | Williams %R ✓ | Weekly | 6.9% | 0.39 | -43.4% | 74.4% | 39 | -12.2% |
| 12 | Money Flow Index ✓ | Daily | 6.8% | 0.37 | -63.4% | 62.1% | 58 | -12.5% |
| 13 | Bollinger Breakout ✓ | Weekly | 5.3% | 0.36 | -58.5% | 54.5% | 33 | -13.7% |
| 14 | RSI Trend (>50) ✓ | Weekly | 5.9% | 0.35 | -85.1% | 46.8% | 94 | -13.2% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For Old Dominion (ODFL), Stochastic on the daily timeframe gave the best balance of return and risk in our test. It still trailed buy-and-hold on raw return — 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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