NODE vs. GFOF
NODE (VanEck Onchain Economy ETF) and GFOF (Grayscale Future of Finance ETF) are both Blockchain funds. NODE is actively managed, while GFOF is passively managed. NODE charges 0.69%/yr vs 0.70%/yr for GFOF.
Performance
NODE vs. GFOF - Performance Comparison
Loading charts...
Returns By Period
NODE
- 1D
- -1.79%
- 1M
- 10.04%
- YTD
- 33.28%
- 6M
- 21.22%
- 1Y
- 71.73%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GFOF
- 1D
- —
- 1M
- —
- YTD
- —
- 6M
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
NODE vs. GFOF - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
NODE VanEck Onchain Economy ETF | 33.28% | 32.44% |
GFOF Grayscale Future of Finance ETF | 0.00% | 0.00% |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
NODE vs. GFOF — Risk / Return Rank
NODE
GFOF
NODE vs. GFOF - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for VanEck Onchain Economy ETF (NODE) and Grayscale Future of Finance ETF (GFOF). 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.
| NODE | GFOF | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | — | |
| Sortino ratioReturn per unit of downside risk | — | — | |
| Omega ratioGain probability vs. loss probability | 1.26 | — | — |
| Calmar ratioReturn relative to maximum drawdown | 2.04 | — | — |
| Martin ratioReturn relative to average drawdown | 4.50 | — | — |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| NODE | GFOF | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.59 | — | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.62 | — | — |
Drawdowns
NODE vs. GFOF - Drawdown Comparison
Loading charts...
Drawdown Indicators
| NODE | GFOF | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -35.35% | — | — |
Max Drawdown (1Y)Largest decline over 1 year | -35.35% | — | — |
Current DrawdownCurrent decline from peak | -2.42% | — | — |
Average DrawdownAverage peak-to-trough decline | -11.30% | — | — |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 16.00% | — | — |
Volatility
NODE vs. GFOF - Volatility Comparison
Loading charts...
Volatility by Period
| NODE | GFOF | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 12.39% | — | — |
Volatility (6M)Calculated over the trailing 6-month period | 34.83% | — | — |
Volatility (1Y)Calculated over the trailing 1-year period | 45.44% | — | — |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 44.59% | — | — |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 44.59% | — | — |
NODE vs. GFOF - Expense Ratio Comparison
NODE has a 0.69% expense ratio, which is lower than GFOF's 0.70% expense ratio.
Dividends
NODE vs. GFOF - Dividend Comparison
NODE's dividend yield for the trailing twelve months is around 0.84%, while GFOF has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
GFOF Grayscale Future of Finance ETF | 0.00% | 0.00% | 2.55% | 4.08% |
NODE VanEck Onchain Economy ETF | 0.84% | 1.12% | 0.00% | 0.00% |
Frequently Asked Questions
On fees, NODE is cheaper at 0.69% per year. The better choice depends on whether you care most about return, fees, risk, or income.
NODE is cheaper with a 0.69% expense ratio, compared with 0.70% for GFOF.
NODE has the higher dividend yield at 0.84%, compared with 0.00% for GFOF.
They also come from different issuers: VanEck and Grayscale. Their fees differ too: 0.69% for NODE and 0.70% for GFOF.
Find the right allocation for NODE and GFOF
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer