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 over the full backtest, with costs, and checked out-of-sample.
Where TeraWulf stands
Computed from our own daily OHLCV history, not quoted from a third party. Moving averages use closing prices; "52-week" is the last 252 trading sessions.
Pivot Points (Standard)
On the daily chart, this is the strongest risk-adjusted edge we found for TeraWulf over ~32.4 years — beating buy-and-hold by 41.9% CAGR.
TeraWulf on the daily chart
The timeframe our backtest found best for this asset. The chart is live market data; the results above are hypothetical and historical.
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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 | 50.9% | 1.16 | -95.6% | 48.1% | 1060 | 41.9% |
| 2 | Fibonacci Pivots ✓ | Daily | 51.5% | 1.16 | -95.4% | 48.2% | 1097 | 42.5% |
| 3 | Projection Bands ✓ | Daily | 54.8% | 1.16 | -92.1% | 66.3% | 341 | 45.8% |
| 4 | Camarilla Pivots ✓ | Daily | 52.5% | 1.14 | -98.1% | 50.9% | 1200 | 43.5% |
| 5 | MA Envelope ✓ | Daily | 46.3% | 1.02 | -93.2% | 63.7% | 336 | 37.3% |
| 6 | Connors RSI ✓ | Daily | 37.5% | 0.96 | -80.5% | 66.2% | 364 | 28.5% |
| 7 | Connors RSI-2 ✓ | Daily | 34.5% | 0.95 | -88.3% | 62.6% | 377 | 25.5% |
| 8 | Keltner Mean-Reversion ✓ | Daily | 25.0% | 0.81 | -84.8% | 68.3% | 139 | 16.0% |
| 9 | Pivot Points (Standard) ✓ | Weekly | 24.8% | 0.78 | -82.1% | 48.9% | 266 | 16.1% |
| 10 | Camarilla Pivots ✓ | Weekly | 25.2% | 0.77 | -83.2% | 46.5% | 353 | 16.5% |
| 11 | Fibonacci Pivots ✓ | Weekly | 24.8% | 0.77 | -79.4% | 49.1% | 279 | 16.1% |
| 12 | Bollinger Mean-Reversion ✓ | Daily | 18.1% | 0.64 | -81.1% | 65.9% | 126 | 9.1% |
| 13 | Fibonacci Bands ✓ | Daily | 18.1% | 0.64 | -81.1% | 65.9% | 126 | 9.1% |
| 14 | Lorentzian Classification ✓ | Daily | 18.8% | 0.6 | -88.6% | 38.6% | 1429 | 9.8% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on TeraWulf
241 of 643 tested setups beat buy-and-hold on TeraWulf outright. Another 25 could get there with leverage they would survive — but 109 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Ichimoku TK Cross | 2 | none needed | 1.32× |
| DMI Direction | 2 | none needed | 1.3× |
| Ulcer Index | 2 | none needed | 1.3× |
| Historical Volatility Regime | 2 | none needed | 1.47× |
| Median MA | 2 | none needed | 1.23× |
| CCI (50) | 2 | none needed | 1.26× |
Out-of-sample, costs included. A setup is only listed if the leverage it needs is less than the leverage its own worst drawdown survives — when it isn't, no amount of leverage gets there. Volatility drag isn't modelled, so these are the optimistic case. Every indicator, ranked this way
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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