The best indicator for Tyson Foods (TSN)
We backtested 20 indicators across daily, weekly and hourly charts on real Tyson Foods (TSN) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Holy Grail Confluence
On the weekly chart, this is the strongest risk-adjusted edge we found for Tyson Foods (TSN) over ~46.4 years — trailing buy-and-hold by 1.0% 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 | Holy Grail Confluence ✓ | Weekly | 7.8% | 0.53 | -50.0% | 88.2% | 17 | -1.0% |
| 2 | MACD ✓ | Weekly | 6.6% | 0.4 | -66.4% | 49.4% | 85 | -2.2% |
| 3 | Bollinger Breakout ✓ | Daily | 5.2% | 0.37 | -48.6% | 46.7% | 210 | -3.5% |
| 4 | WaveTrend (8/6/4) ✓ | Weekly | 5.6% | 0.35 | -75.7% | 86.1% | 36 | -3.2% |
| 5 | MACD ✓ | Daily | 5.2% | 0.33 | -68.8% | 46.0% | 450 | -3.5% |
| 6 | Donchian Breakout ✓ | Daily | 4.6% | 0.33 | -70.2% | 46.4% | 166 | -4.1% |
| 7 | EMA 20/50 Cross ✓ | Daily | 4.6% | 0.32 | -69.0% | 31.2% | 109 | -4.1% |
| 8 | Bollinger Mean-Reversion ✓ | Weekly | 4.4% | 0.32 | -69.8% | 81.0% | 42 | -4.4% |
| 9 | EMA-10 Trend ✓ | Weekly | 4.7% | 0.32 | -61.5% | 44.1% | 202 | -4.1% |
| 10 | ADX / DMI ✓ | Daily | 3.9% | 0.3 | -69.4% | 39.2% | 309 | -4.8% |
| 11 | Rate of Change ✓ | Weekly | 4.0% | 0.3 | -71.7% | 48.3% | 149 | -4.8% |
| 12 | Donchian Midline ✓ | Weekly | 3.9% | 0.29 | -65.4% | 40.5% | 131 | -5.0% |
| 13 | Stochastic ✓ | Daily | 3.6% | 0.27 | -74.9% | 68.3% | 224 | -5.1% |
| 14 | Stochastic ✓ | Weekly | 3.6% | 0.27 | -74.3% | 79.5% | 44 | -5.2% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For Tyson Foods (TSN), Holy Grail Confluence on the weekly 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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