The best indicator for TeraWulf
We backtested 382 indicators across daily, weekly and hourly charts on real TeraWulf history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Pivot Points (Standard)
On the daily chart, this is the strongest risk-adjusted edge we found for TeraWulf over ~32.2 years — beating buy-and-hold by 41.6% 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 | Pivot Points (Standard) ✓ | Daily | 52.6% | 1.19 | -95.6% | 48.0% | 1049 | 41.6% |
| 2 | Fibonacci Pivots ✓ | Daily | 53.2% | 1.19 | -95.4% | 48.2% | 1086 | 42.3% |
| 3 | Projection Bands ✓ | Daily | 55.7% | 1.18 | -92.1% | 66.5% | 337 | 44.7% |
| 4 | Camarilla Pivots ✓ | Daily | 54.4% | 1.17 | -98.1% | 51.0% | 1187 | 43.4% |
| 5 | MA Envelope ✓ | Daily | 48.6% | 1.06 | -93.2% | 64.0% | 333 | 37.6% |
| 6 | Connors RSI-2 ✓ | Daily | 34.3% | 0.96 | -88.3% | 62.5% | 371 | 23.4% |
| 7 | Connors RSI ✓ | Daily | 37.6% | 0.96 | -80.5% | 66.2% | 358 | 26.6% |
| 8 | Pivot Points (Standard) ✓ | Weekly | 27.2% | 0.84 | -82.1% | 48.9% | 264 | 16.6% |
| 9 | Keltner Mean-Reversion ✓ | Daily | 25.5% | 0.83 | -84.8% | 68.8% | 138 | 14.6% |
| 10 | Fibonacci Pivots ✓ | Weekly | 27.2% | 0.82 | -79.4% | 49.6% | 278 | 16.6% |
| 11 | Camarilla Pivots ✓ | Weekly | 26.6% | 0.79 | -83.2% | 47.1% | 348 | 16.0% |
| 12 | Bollinger Mean-Reversion ✓ | Daily | 19.3% | 0.67 | -81.1% | 66.4% | 125 | 8.3% |
| 13 | Fibonacci Bands ✓ | Daily | 19.3% | 0.67 | -81.1% | 66.4% | 125 | 8.3% |
| 14 | Lorentzian Classification ✓ | Daily | 20.5% | 0.63 | -88.6% | 38.8% | 1416 | 9.5% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For TeraWulf, Pivot Points (Standard) on the daily 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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