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TCAI vs. TMLP
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

TCAI vs. TMLP - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Tortoise AI Infrastructure ETF (TCAI) and Tortoise MLP ETF (TMLP). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, TCAI achieves a 55.27% return, which is significantly higher than TMLP's 22.73% return.


TCAI

1D
-0.41%
1M
-7.41%
6M
37.28%
YTD
55.27%
1Y
3Y*
5Y*
10Y*
ALL TIME*

TMLP

1D
1.11%
1M
7.18%
6M
15.57%
YTD
22.73%
1Y
3Y*
5Y*
10Y*
ALL TIME*
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$4.79M$5.54M$6.96M
$25.91K$29.91K$98.86K

TCAI vs. TMLP - Yearly Performance Comparison


2026 (YTD)2025
TCAI
Tortoise AI Infrastructure ETF
55.27%-1.41%
TMLP
Tortoise MLP ETF
22.73%0.01%

Correlation

The correlation between TCAI and TMLP is -0.11, meaning they have often moved in opposite directions in the past. This relationship can weaken or reverse as market conditions change.


Correlation
Correlation (All Time)
Calculated using the full available price history since Dec 23, 2025

-0.11

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Return for Risk

TCAI vs. TMLP - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Tortoise AI Infrastructure ETF (TCAI) and Tortoise MLP ETF (TMLP). 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.


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

TCAI vs. TMLP - Sharpe Ratio Comparison


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Drawdowns

TCAI vs. TMLP - Drawdown Comparison

The maximum TCAI drawdown since its inception was -28.82%, which is greater than TMLP's maximum drawdown of -8.55%. Use the drawdown chart below to compare losses from any high point for TCAI and TMLP.


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Drawdown Indicators


TCAITMLPDifference

Max Drawdown

Largest peak-to-trough decline

-28.82%

-8.55%

-20.27%

Current Drawdown

Current decline from peak

-20.91%

0.00%

-20.91%

Average Drawdown

Average peak-to-trough decline

-4.71%

-2.15%

-2.56%

Volatility

TCAI vs. TMLP - Volatility Comparison


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Volatility by Period


TCAITMLPDifference

Volatility (1Y)

Calculated over the trailing 1-year period

41.71%

14.25%

+27.46%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

41.71%

14.25%

+27.46%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

41.71%

14.25%

+27.46%

TCAI vs. TMLP - Expense Ratio Comparison

TCAI has a 0.65% expense ratio, which is higher than TMLP's 0.50% expense ratio.


Dividends

TCAI vs. TMLP - Dividend Comparison

TCAI's dividend yield for the trailing twelve months is around 0.03%, less than TMLP's 3.65% yield.


PositionTTM2025
TCAI
Tortoise AI Infrastructure ETF
0.03%0.05%
TMLP
Tortoise MLP ETF
3.65%0.04%

Frequently Asked Questions


TCAI and TMLP have a correlation of -0.11, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, TMLP is cheaper at 0.50% per year. The better choice depends on whether you care most about return, fees, risk, or income.

TMLP is cheaper with a 0.50% expense ratio, compared with 0.65% for TCAI.

TMLP has the higher dividend yield at 3.65%, compared with 0.03% for TCAI.

TCAI is categorized as Artificial Intelligence, while TMLP is MLPs. Their fees differ too: 0.65% for TCAI and 0.50% for TMLP.

Portfolio Optimizer

Find the right allocation for TCAI and TMLP

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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