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FDMO vs. SEIM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FDMO vs. SEIM - Performance Comparison

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

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Returns By Period

In the year-to-date period, FDMO achieves a 14.45% return, which is significantly lower than SEIM's 18.33% return.


FDMO

1D
-2.80%
1M
2.15%
YTD
14.45%
6M
12.49%
1Y
31.10%
3Y*
27.66%
5Y*
15.71%
10Y*

SEIM

1D
-2.24%
1M
2.95%
YTD
18.33%
6M
16.44%
1Y
34.90%
3Y*
29.06%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

FDMO vs. SEIM - Yearly Performance Comparison


2026 (YTD)2025202420232022
FDMO
Fidelity Momentum Factor ETF
14.45%21.43%32.78%24.79%-3.72%
SEIM
SEI Enhanced US Large Cap Momentum Factor ETF
18.33%20.20%39.12%16.25%-5.62%

Correlation

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

FDMO vs. SEIM - Sectors Allocation Comparison


Sectors
FDMO
SEIM

Technology

38.3%
29.5%

Financial Services

11.3%
8.1%

Consumer Cyclical

9.8%
7.2%

Communication Services

9.4%
4.4%

Industrials

9.1%
6.8%

Healthcare

8.7%
9.5%

Consumer Defensive

4.0%
7.9%

Energy

3.2%
11.8%

Basic Materials

2.1%
4.7%

Utilities

2.1%
2.4%

Real Estate

2.0%
7.2%

Technology

FDMO
38.3%
SEIM
29.5%

Financial Services

FDMO
11.3%
SEIM
8.1%

Consumer Cyclical

FDMO
9.8%
SEIM
7.2%

Communication Services

FDMO
9.4%
SEIM
4.4%

Industrials

FDMO
9.1%
SEIM
6.8%

Healthcare

FDMO
8.7%
SEIM
9.5%

Consumer Defensive

FDMO
4.0%
SEIM
7.9%

Energy

FDMO
3.2%
SEIM
11.8%

Basic Materials

FDMO
2.1%
SEIM
4.7%

Utilities

FDMO
2.1%
SEIM
2.4%

Real Estate

FDMO
2.0%
SEIM
7.2%

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Return for Risk

FDMO vs. SEIM — Risk / Return Rank

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

FDMO
FDMO Risk / Return Rank: 5353
Overall Rank
FDMO Sharpe Ratio Rank: 5353
Sharpe Ratio Rank
FDMO Sortino Ratio Rank: 5050
Sortino Ratio Rank
FDMO Omega Ratio Rank: 5151
Omega Ratio Rank
FDMO Calmar Ratio Rank: 5454
Calmar Ratio Rank
FDMO Martin Ratio Rank: 5959
Martin Ratio Rank

SEIM
SEIM Risk / Return Rank: 6868
Overall Rank
SEIM Sharpe Ratio Rank: 6565
Sharpe Ratio Rank
SEIM Sortino Ratio Rank: 6262
Sortino Ratio Rank
SEIM Omega Ratio Rank: 6262
Omega Ratio Rank
SEIM Calmar Ratio Rank: 7272
Calmar Ratio Rank
SEIM Martin Ratio Rank: 8080
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.

FDMO vs. SEIM - Risk-Adjusted Trends Comparison

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


FDMOSEIMDifference
Sharpe ratioReturn per unit of total volatility

-0.26

Sortino ratioReturn per unit of downside risk

-0.35

Omega ratioGain probability vs. loss probability

1.31

1.35

-0.04

Calmar ratioReturn relative to maximum drawdown

2.56

3.48

-0.93

Martin ratioReturn relative to average drawdown

9.99

14.90

-4.91

FDMO vs. SEIM - Sharpe Ratio Comparison

The current FDMO Sharpe Ratio is 1.75, which is comparable to the SEIM Sharpe Ratio of 2.01. The chart below compares the historical Sharpe Ratios of FDMO and SEIM, 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

FDMO vs. SEIM - Drawdown Comparison

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


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Drawdown Indicators


FDMOSEIMDifference

Max Drawdown

Largest peak-to-trough decline

-33.94%

-22.17%

-11.77%

Max Drawdown (1Y)

Largest decline over 1 year

-12.22%

-10.07%

-2.15%

Max Drawdown (3Y)

Largest decline over 3 years

-21.88%

-22.17%

+0.29%

Max Drawdown (5Y)

Largest decline over 5 years

-25.44%

Current Drawdown

Current decline from peak

-2.80%

-2.24%

-0.56%

Average Drawdown

Average peak-to-trough decline

-5.40%

-3.97%

-1.43%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.12%

2.35%

+0.77%

Volatility

FDMO vs. SEIM - Volatility Comparison

Fidelity Momentum Factor ETF (FDMO) has a higher volatility of 7.76% compared to SEI Enhanced US Large Cap Momentum Factor ETF (SEIM) at 7.15%. This indicates that FDMO's price experiences larger fluctuations and is considered to be riskier than SEIM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FDMOSEIMDifference

Volatility (1M)

Calculated over the trailing 1-month period

7.76%

7.15%

+0.61%

Volatility (6M)

Calculated over the trailing 6-month period

14.60%

14.49%

+0.11%

Volatility (1Y)

Calculated over the trailing 1-year period

17.88%

17.45%

+0.43%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

19.25%

19.09%

+0.16%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

19.59%

19.09%

+0.50%

FDMO vs. SEIM - Expense Ratio Comparison

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


Dividends

FDMO vs. SEIM - Dividend Comparison

FDMO's dividend yield for the trailing twelve months is around 0.59%, more than SEIM's 0.52% yield.


PositionTTM2025202420232022202120202019201820172016
FDMO
Fidelity Momentum Factor ETF
0.59%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
0.52%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, FDMO and SEIM 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 (7.76%) compared to SEIM (7.15%). In terms of maximum drawdown, FDMO dropped -33.94% vs SEIM's -22.17%.

On 3-year performance, SEIM leads with 29.06% vs 27.66% for FDMO. On fees, SEIM is cheaper at 0.15% per year. On volatility, SEIM has been the lower-risk option at 7.15%. 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 29.06% return vs 27.66%. 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 0.59%, compared with 0.52% for SEIM.

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

SEIM currently has the higher Sharpe Ratio (2.01 vs 1.75), 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 FDMO and SEIM

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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