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SEIM vs. FDMO
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SEIM vs. FDMO - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SEI Enhanced US Large Cap Momentum Factor ETF (SEIM) and Fidelity Momentum Factor ETF (FDMO). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SEIM achieves a 21.04% return, which is significantly higher than FDMO's 17.75% return.


SEIM

1D
0.81%
1M
5.31%
YTD
21.04%
6M
19.67%
1Y
39.75%
3Y*
30.04%
5Y*
10Y*

FDMO

1D
0.76%
1M
5.09%
YTD
17.75%
6M
16.14%
1Y
36.31%
3Y*
28.88%
5Y*
16.52%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SEIM vs. FDMO - Yearly Performance Comparison


2026 (YTD)2025202420232022
SEIM
SEI Enhanced US Large Cap Momentum Factor ETF
21.04%20.20%39.12%16.25%-5.62%
FDMO
Fidelity Momentum Factor ETF
17.75%21.43%32.78%24.79%-3.72%

Correlation

The correlation between SEIM and FDMO is 0.92, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.92

Correlation (3Y)
Calculated over the trailing 3-year period

0.94

Correlation (All Time)
Calculated using the full available price history since May 18, 2022

0.94

The correlation between SEIM and FDMO has been stable across timeframes, ranging from 0.92 to 0.94 - a consistent structural relationship.

SEIM vs. FDMO - Sectors Allocation Comparison


Sectors
SEIM
FDMO

Technology

29.5%
38.3%

Energy

11.8%
3.2%

Healthcare

9.5%
8.7%

Financial Services

8.1%
11.3%

Consumer Defensive

7.9%
4.0%

Consumer Cyclical

7.2%
9.8%

Real Estate

7.2%
2.0%

Industrials

6.8%
9.1%

Basic Materials

4.7%
2.1%

Communication Services

4.4%
9.4%

Utilities

2.4%
2.1%

Technology

SEIM
29.5%
FDMO
38.3%

Energy

SEIM
11.8%
FDMO
3.2%

Healthcare

SEIM
9.5%
FDMO
8.7%

Financial Services

SEIM
8.1%
FDMO
11.3%

Consumer Defensive

SEIM
7.9%
FDMO
4.0%

Consumer Cyclical

SEIM
7.2%
FDMO
9.8%

Real Estate

SEIM
7.2%
FDMO
2.0%

Industrials

SEIM
6.8%
FDMO
9.1%

Basic Materials

SEIM
4.7%
FDMO
2.1%

Communication Services

SEIM
4.4%
FDMO
9.4%

Utilities

SEIM
2.4%
FDMO
2.1%

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Return for Risk

SEIM vs. FDMO — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

SEIM
SEIM Risk / Return Rank: 7676
Overall Rank
SEIM Sharpe Ratio Rank: 7575
Sharpe Ratio Rank
SEIM Sortino Ratio Rank: 7171
Sortino Ratio Rank
SEIM Omega Ratio Rank: 7171
Omega Ratio Rank
SEIM Calmar Ratio Rank: 7979
Calmar Ratio Rank
SEIM Martin Ratio Rank: 8585
Martin Ratio Rank

FDMO
FDMO Risk / Return Rank: 6363
Overall Rank
FDMO Sharpe Ratio Rank: 6565
Sharpe Ratio Rank
FDMO Sortino Ratio Rank: 6161
Sortino Ratio Rank
FDMO Omega Ratio Rank: 6262
Omega Ratio Rank
FDMO Calmar Ratio Rank: 6262
Calmar Ratio Rank
FDMO Martin Ratio Rank: 6666
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

SEIM vs. FDMO - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SEI Enhanced US Large Cap Momentum Factor ETF (SEIM) and Fidelity Momentum Factor ETF (FDMO). 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.


SEIMFDMODifference
Sharpe ratioReturn per unit of total volatility

+0.24

Sortino ratioReturn per unit of downside risk

+0.32

Omega ratioGain probability vs. loss probability

1.40

1.36

+0.04

Calmar ratioReturn relative to maximum drawdown

3.97

2.98

+0.98

Martin ratioReturn relative to average drawdown

17.00

11.68

+5.32

SEIM vs. FDMO - Sharpe Ratio Comparison

The current SEIM Sharpe Ratio is 2.31, which is comparable to the FDMO Sharpe Ratio of 2.07. The chart below compares the historical Sharpe Ratios of SEIM and FDMO, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

SEIM vs. FDMO - Drawdown Comparison

The maximum SEIM drawdown since its inception was -22.17%, smaller than the maximum FDMO drawdown of -33.94%. Use the drawdown chart below to compare losses from any high point for SEIM and FDMO.


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Drawdown Indicators


SEIMFDMODifference

Max Drawdown

Largest peak-to-trough decline

-22.17%

-33.94%

+11.77%

Max Drawdown (1Y)

Largest decline over 1 year

-10.07%

-12.22%

+2.15%

Max Drawdown (3Y)

Largest decline over 3 years

-22.17%

-21.88%

-0.29%

Max Drawdown (5Y)

Largest decline over 5 years

-25.44%

Current Drawdown

Current decline from peak

0.00%

0.00%

0.00%

Average Drawdown

Average peak-to-trough decline

-3.97%

-5.40%

+1.43%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.34%

3.12%

-0.78%

Volatility

SEIM vs. FDMO - Volatility Comparison

The current volatility for SEI Enhanced US Large Cap Momentum Factor ETF (SEIM) is 6.75%, while Fidelity Momentum Factor ETF (FDMO) has a volatility of 7.14%. This indicates that SEIM experiences smaller price fluctuations and is considered to be less risky than FDMO based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SEIMFDMODifference

Volatility (1M)

Calculated over the trailing 1-month period

6.75%

7.14%

-0.39%

Volatility (6M)

Calculated over the trailing 6-month period

14.33%

14.35%

-0.02%

Volatility (1Y)

Calculated over the trailing 1-year period

17.32%

17.67%

-0.35%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

19.07%

19.20%

-0.13%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

19.07%

19.57%

-0.50%

SEIM vs. FDMO - Expense Ratio Comparison

SEIM has a 0.15% expense ratio, which is lower than FDMO's 0.29% expense ratio.


Dividends

SEIM vs. FDMO - Dividend Comparison

SEIM's dividend yield for the trailing twelve months is around 0.51%, less than FDMO's 0.58% yield.


PositionTTM2025202420232022202120202019201820172016
FDMO
Fidelity Momentum Factor ETF
0.58%0.61%0.90%0.87%1.19%0.60%0.77%1.23%1.22%1.09%0.45%
SEIM
SEI Enhanced US Large Cap Momentum Factor ETF
0.51%0.56%0.48%0.89%1.01%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


With a correlation of 0.92, SEIM and FDMO move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

FDMO has higher volatility (7.14%) compared to SEIM (6.75%). In terms of maximum drawdown, SEIM dropped -22.17% vs FDMO's -33.94%.

On 3-year performance, SEIM leads with 30.04% vs 28.88% for FDMO. On fees, SEIM is cheaper at 0.15% per year. On volatility, SEIM has been the lower-risk option at 6.75%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, SEIM has performed better with a 30.04% return vs 28.88%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SEIM is cheaper with a 0.15% expense ratio, compared with 0.29% for FDMO.

FDMO has the higher dividend yield at 0.58%, compared with 0.51% for SEIM.

They also come from different issuers: SEI and Fidelity. Their fees differ too: 0.15% for SEIM and 0.29% for FDMO.

SEIM currently has the higher Sharpe Ratio (2.31 vs 2.07), 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.

Portfolio Optimizer

Find the right allocation for SEIM and FDMO

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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