MOTO vs. LIT
MOTO (SmartETFs Smart Transportation & Technology ETF) and LIT (Global X Lithium & Battery Tech ETF) are both exchange-traded funds - MOTO is a Technology Equities fund actively managed by Guinness Atkinson, while LIT is a Lithium & Battery Metals fund tracking the Solactive Global Lithium Index. MOTO is actively managed, while LIT is passively managed. Over the past 5 years, MOTO returned 7.72%/yr vs -2.82%/yr for LIT. Their 0.68 correlation means they have sometimes moved together and sometimes differently. MOTO charges 0.68%/yr vs 0.75%/yr for LIT.
Performance
MOTO vs. LIT - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, MOTO achieves a 15.61% return, which is significantly higher than LIT's 7.18% return.
MOTO
- 1D
- -0.18%
- 1M
- -2.12%
- 6M
- 8.05%
- YTD
- 15.61%
- 1Y
- 32.20%
- 3Y*
- 12.73%
- 5Y*
- 7.72%
- 10Y*
- —
- ALL TIME*
- 16.10%
LIT
- 1D
- -0.85%
- 1M
- -9.55%
- 6M
- -0.62%
- YTD
- 7.18%
- 1Y
- 70.85%
- 3Y*
- 2.87%
- 5Y*
- -2.82%
- 10Y*
- 12.66%
- ALL TIME*
- 6.36%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $15.35M | $16.35M | $33.70M | |
| $14.87K | $16.20K | $15.49K |
MOTO vs. LIT - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|---|---|---|
MOTO SmartETFs Smart Transportation & Technology ETF | 15.61% | 27.38% | 2.01% | 27.10% | -27.20% | 17.22% | 59.13% | 5.00% |
LIT Global X Lithium & Battery Tech ETF | 7.18% | 60.05% | -19.19% | -12.18% | -29.91% | 36.74% | 127.88% | 8.88% |
Correlation
The correlation between MOTO and LIT is 0.61, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.61 |
Correlation (3Y) Balances recent behavior with more history. | 0.64 |
Correlation (5Y) Shows whether the relationship held over a longer period. | 0.67 |
Correlation (All Time) Calculated using the full available price history since Nov 15, 2019 | 0.68 |
The correlation between MOTO and LIT has been stable across timeframes, ranging from 0.61 to 0.68 - a consistent structural relationship.
MOTO vs. LIT - Sectors Allocation Comparison
Sectors
MOTO
LIT
Technology
Consumer Cyclical
Industrials
Communication Services
-
Basic Materials
Consumer Defensive
-
Financial Services
-
Utilities
-
Energy
-
-
Healthcare
-
-
Real Estate
-
-
Technology
MOTO
LIT
Consumer Cyclical
MOTO
LIT
Industrials
MOTO
LIT
Communication Services
MOTO
LIT
-
Basic Materials
MOTO
LIT
Consumer Defensive
MOTO
LIT
-
Financial Services
MOTO
LIT
-
Utilities
MOTO
LIT
-
Energy
MOTO
-
LIT
-
Healthcare
MOTO
-
LIT
-
Real Estate
MOTO
-
LIT
-
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
MOTO vs. LIT — Risk / Return Rank
MOTO
LIT
MOTO vs. LIT - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for SmartETFs Smart Transportation & Technology ETF (MOTO) and Global X Lithium & Battery Tech ETF (LIT). 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| MOTO | LIT | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.81 | ||
| Sortino ratioReturn per unit of downside risk | -0.86 | ||
| Omega ratioGain probability vs. loss probability | 1.22 | 1.33 | -0.11 |
| Calmar ratioReturn relative to maximum drawdown | 1.89 | 2.62 | -0.74 |
| Martin ratioReturn relative to average drawdown | 5.77 | 8.37 | -2.61 |
Loading charts...
Drawdowns
MOTO vs. LIT - Drawdown Comparison
The maximum MOTO drawdown since its inception was -38.24%, smaller than the maximum LIT drawdown of -65.91%. Use the drawdown chart below to compare losses from any high point for MOTO and LIT.
Loading charts...
Drawdown Indicators
| MOTO | LIT | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -38.24% | -65.91% | +27.67% |
Max Drawdown (1Y)Largest decline over 1 year | -16.07% | -26.84% | +10.77% |
Max Drawdown (3Y)Largest decline over 3 years | -26.43% | -49.14% | +22.71% |
Max Drawdown (5Y)Largest decline over 5 years | -37.34% | -65.91% | +28.57% |
Max Drawdown (10Y)Largest decline over 10 years | — | -65.91% | — |
Current DrawdownCurrent decline from peak | -12.09% | -25.06% | +12.97% |
Average DrawdownAverage peak-to-trough decline | -9.94% | -33.48% | +23.54% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 5.25% | 8.40% | -3.15% |
Volatility
MOTO vs. LIT - Volatility Comparison
The current volatility for SmartETFs Smart Transportation & Technology ETF (MOTO) is 8.51%, while Global X Lithium & Battery Tech ETF (LIT) has a volatility of 9.34%. This indicates that MOTO experiences smaller price fluctuations and is considered to be less risky than LIT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| MOTO | LIT | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 8.51% | 9.34% | -0.83% |
Volatility (6M)Calculated over the trailing 6-month period | 20.84% | 25.15% | -4.31% |
Volatility (1Y)Calculated over the trailing 1-year period | 24.57% | 34.47% | -9.90% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 24.24% | 31.93% | -7.69% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 26.51% | 30.80% | -4.29% |
MOTO vs. LIT - Expense Ratio Comparison
MOTO has a 0.68% expense ratio, which is lower than LIT's 0.75% expense ratio.
Dividends
MOTO vs. LIT - Dividend Comparison
MOTO's dividend yield for the trailing twelve months is around 0.91%, more than LIT's 0.73% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
LIT Global X Lithium & Battery Tech ETF | 0.73% | 0.49% | 0.93% | 1.11% | 0.99% | 0.22% | 0.40% | 1.85% | 2.52% | 3.26% | 2.15% | 0.24% |
MOTO SmartETFs Smart Transportation & Technology ETF | 0.91% | 1.06% | 1.07% | 2.73% | 2.33% | 0.55% | 2.71% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
MOTO and LIT have a correlation of 0.61, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
LIT has higher volatility (9.34%) compared to MOTO (8.51%). In terms of maximum drawdown, MOTO dropped -38.24% vs LIT's -65.91%.
On 5-year performance, MOTO leads with 7.72% vs -2.82% for LIT. On fees, MOTO is cheaper at 0.68% per year. On volatility, MOTO has been the lower-risk option at 8.51%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 5-year period, MOTO has performed better with a 7.72% return vs -2.82%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
MOTO is cheaper with a 0.68% expense ratio, compared with 0.75% for LIT.
MOTO has the higher dividend yield at 0.91%, compared with 0.73% for LIT.
MOTO is categorized as Technology Equities, while LIT is Lithium & Battery Metals. They also come from different issuers: Guinness Atkinson and Global X. Their fees differ too: 0.68% for MOTO and 0.75% for LIT.
LIT currently has the higher Sharpe Ratio (2.05 vs 1.24), 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.
Find the right allocation for MOTO and LIT
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