WULF vs. SPUS
WULF (TeraWulf Inc.) is a stock, while SPUS (SP Funds S&P 500 Sharia Industry Exclusions ETF) is S&P 500 fund tracking the S&P 500 Shariah Industry Exclusions Index. Over the past 5 years, WULF returned 23.07%/yr vs 17.46%/yr for SPUS. At a 0.32 correlation, their price movements are largely independent.
Performance
WULF vs. SPUS - Performance Comparison
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Returns By Period
In the year-to-date period, WULF achieves a 127.68% return, which is significantly higher than SPUS's 15.82% return.
WULF
- 1D
- -1.25%
- 1M
- 17.36%
- YTD
- 127.68%
- 6M
- 81.29%
- 1Y
- 592.06%
- 3Y*
- 159.91%
- 5Y*
- 23.07%
- 10Y*
- 11.07%
SPUS
- 1D
- -0.86%
- 1M
- 9.49%
- YTD
- 15.82%
- 6M
- 15.21%
- 1Y
- 40.24%
- 3Y*
- 24.89%
- 5Y*
- 17.46%
- 10Y*
- —
WULF vs. SPUS - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|---|---|---|
WULF TeraWulf Inc. | 127.68% | 103.00% | 135.83% | 260.58% | -95.58% | 77.08% | 86.34% | -11.28% |
SPUS SP Funds S&P 500 Sharia Industry Exclusions ETF | 15.82% | 19.77% | 26.49% | 34.24% | -22.76% | 35.92% | 25.68% | 0.81% |
Correlation
The correlation between WULF and SPUS is 0.39, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.39 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.42 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.39 |
Correlation (All Time) Calculated using the full available price history since Dec 19, 2019 | 0.32 |
The correlation between WULF and SPUS shifts across timeframes, from 0.32 (all time) to 0.42 (3 years), reflecting how their relationship changes across market environments.
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Return for Risk
WULF vs. SPUS — Risk / Return Rank
WULF
SPUS
WULF vs. SPUS - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for TeraWulf Inc. (WULF) and SP Funds S&P 500 Sharia Industry Exclusions ETF (SPUS). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| WULF | SPUS | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +2.73 | ||
| Sortino ratioReturn per unit of downside risk | +0.77 | ||
| Omega ratioGain probability vs. loss probability | 1.54 | 1.49 | +0.05 |
| Calmar ratioReturn relative to maximum drawdown | 18.82 | 3.79 | +15.03 |
| Martin ratioReturn relative to average drawdown | 49.71 | 16.32 | +33.39 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| WULF | SPUS | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 5.59 | 2.86 | +2.73 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.18 | 0.91 | -0.73 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.11 | — | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.11 | 0.91 | -0.80 |
Drawdowns
WULF vs. SPUS - Drawdown Comparison
The maximum WULF drawdown since its inception was -98.50%, which is greater than SPUS's maximum drawdown of -30.80%. Use the drawdown chart below to compare losses from any high point for WULF and SPUS.
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Drawdown Indicators
| WULF | SPUS | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -98.50% | -30.80% | -67.70% |
Max Drawdown (1Y)Largest decline over 1 year | -31.74% | -10.66% | -21.08% |
Max Drawdown (3Y)Largest decline over 3 years | -75.77% | -22.82% | -52.95% |
Max Drawdown (5Y)Largest decline over 5 years | -98.50% | -28.06% | -70.44% |
Max Drawdown (10Y)Largest decline over 10 years | -98.50% | — | — |
Current DrawdownCurrent decline from peak | -27.47% | -0.86% | -26.61% |
Average DrawdownAverage peak-to-trough decline | -46.68% | -6.21% | -40.47% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 11.99% | 2.47% | +9.52% |
Volatility
WULF vs. SPUS - Volatility Comparison
TeraWulf Inc. (WULF) has a higher volatility of 22.16% compared to SP Funds S&P 500 Sharia Industry Exclusions ETF (SPUS) at 4.00%. This indicates that WULF's price experiences larger fluctuations and is considered to be riskier than SPUS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| WULF | SPUS | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 22.16% | 4.00% | +18.16% |
Volatility (6M)Calculated over the trailing 6-month period | 64.17% | 10.84% | +53.33% |
Volatility (1Y)Calculated over the trailing 1-year period | 106.93% | 14.16% | +92.77% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 127.54% | 19.23% | +108.31% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 101.31% | 21.28% | +80.03% |
Dividends
WULF vs. SPUS - Dividend Comparison
WULF has not paid dividends to shareholders, while SPUS's dividend yield for the trailing twelve months is around 0.52%.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|---|---|
SPUS SP Funds S&P 500 Sharia Industry Exclusions ETF | 0.52% | 0.60% | 0.70% | 0.87% | 1.21% | 1.15% | 1.04% |
WULF TeraWulf Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 33.22% | 0.00% |
Frequently Asked Questions
WULF and SPUS have a correlation of 0.39, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
WULF has higher volatility (22.16%) compared to SPUS (4.00%). In terms of maximum drawdown, WULF dropped -98.50% vs SPUS's -30.80%.
WULF currently has the higher Sharpe Ratio (5.59 vs 2.86), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
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