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PBOT vs. AGIQ
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

PBOT vs. AGIQ - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Pictet AI & Automation ETF (PBOT) and SoFi Agentic AI ETF (AGIQ). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, PBOT achieves a 22.92% return, which is significantly higher than AGIQ's 2.19% return.


PBOT

1D
-2.30%
1M
-2.27%
6M
19.50%
YTD
22.92%
1Y
3Y*
5Y*
10Y*
ALL TIME*

AGIQ

1D
-1.80%
1M
-0.24%
6M
-0.53%
YTD
2.19%
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)
$96.69K$116.72K$206.29K
$23.32K$22.92K$19.40K

PBOT vs. AGIQ - Yearly Performance Comparison


2026 (YTD)2025
PBOT
Pictet AI & Automation ETF
22.92%0.33%
AGIQ
SoFi Agentic AI ETF
2.19%2.56%

Correlation

The correlation between PBOT and AGIQ is 0.88, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


Correlation
Correlation (All Time)
Calculated using the full available price history since Oct 16, 2025

0.88

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Return for Risk

PBOT vs. AGIQ - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Pictet AI & Automation ETF (PBOT) and SoFi Agentic AI ETF (AGIQ). 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.

PBOT vs. AGIQ - Sharpe Ratio Comparison


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Drawdowns

PBOT vs. AGIQ - Drawdown Comparison

The maximum PBOT drawdown since its inception was -15.78%, smaller than the maximum AGIQ drawdown of -19.72%. Use the drawdown chart below to compare losses from any high point for PBOT and AGIQ.


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Drawdown Indicators


PBOTAGIQDifference

Max Drawdown

Largest peak-to-trough decline

-15.78%

-19.72%

+3.94%

Current Drawdown

Current decline from peak

-8.71%

-9.49%

+0.78%

Average Drawdown

Average peak-to-trough decline

-4.35%

-6.21%

+1.86%

Volatility

PBOT vs. AGIQ - Volatility Comparison


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Volatility by Period


PBOTAGIQDifference

Volatility (1Y)

Calculated over the trailing 1-year period

26.94%

23.92%

+3.02%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

26.94%

23.92%

+3.02%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

26.94%

23.92%

+3.02%

PBOT vs. AGIQ - Expense Ratio Comparison

PBOT has a 0.70% expense ratio, which is higher than AGIQ's 0.69% expense ratio.


Dividends

PBOT vs. AGIQ - Dividend Comparison

PBOT's dividend yield for the trailing twelve months is around 0.08%, less than AGIQ's 1.98% yield.


PositionTTM2025
AGIQ
SoFi Agentic AI ETF
1.98%0.38%
PBOT
Pictet AI & Automation ETF
0.08%0.10%

Frequently Asked Questions


PBOT and AGIQ have a correlation of 0.88, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, AGIQ is cheaper at 0.69% per year. The better choice depends on whether you care most about return, fees, risk, or income.

AGIQ is cheaper with a 0.69% expense ratio, compared with 0.70% for PBOT.

AGIQ has the higher dividend yield at 1.98%, compared with 0.08% for PBOT.

They also come from different issuers: Pictet and SoFi. Their fees differ too: 0.70% for PBOT and 0.69% for AGIQ.

Portfolio Optimizer

Find the right allocation for PBOT and AGIQ

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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