The best indicator for Quanta Services (PWR)
We backtested 20 indicators across daily, weekly and hourly charts on real Quanta Services (PWR) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Rate of Change
On the weekly chart, this is the strongest risk-adjusted edge we found for Quanta Services (PWR) over ~28.4 years — trailing buy-and-hold by 2.2% 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 | Rate of Change ✓ | Weekly | 15.1% | 0.59 | -65.6% | 59.5% | 84 | -2.2% |
| 2 | SMA 50/200 Cross ✓ | Daily | 14.3% | 0.57 | -73.6% | 63.2% | 19 | -3.1% |
| 3 | Rate of Change ✓ | Daily | 13.4% | 0.55 | -71.9% | 44.5% | 443 | -4.1% |
| 4 | RSI Trend (>50) ✓ | Weekly | 11.9% | 0.52 | -78.9% | 50.6% | 77 | -5.4% |
| 5 | ADX / DMI ✓ | Weekly | 10.8% | 0.5 | -53.0% | 62.5% | 40 | -6.5% |
| 6 | RSI Trend (>50) ✓ | Daily | 11.1% | 0.49 | -78.9% | 37.0% | 392 | -6.4% |
| 7 | EMA 50/200 Cross ✓ | Daily | 10.7% | 0.48 | -82.4% | 40.0% | 20 | -6.7% |
| 8 | Donchian Midline ✓ | Daily | 11.0% | 0.48 | -73.9% | 42.9% | 375 | -6.5% |
| 9 | MACD ✓ | Weekly | 10.4% | 0.47 | -66.2% | 49.2% | 61 | -7.0% |
| 10 | Donchian Midline ✓ | Weekly | 10.4% | 0.47 | -72.6% | 55.3% | 85 | -7.0% |
| 11 | CCI ✓ | Daily | 9.6% | 0.45 | -65.5% | 73.7% | 137 | -7.8% |
| 12 | EMA-10 Trend ✓ | Weekly | 9.8% | 0.45 | -76.6% | 51.5% | 134 | -7.5% |
| 13 | WaveTrend (8/6/4) ✓ | Daily | 8.6% | 0.41 | -65.5% | 70.1% | 107 | -8.8% |
| 14 | EMA 20/50 Cross ✓ | Daily | 7.8% | 0.4 | -73.0% | 39.7% | 68 | -9.7% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For Quanta Services (PWR), Rate of Change 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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