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FMAY vs. BDGS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FMAY vs. BDGS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in FT Cboe Vest U.S. Equity Buffer ETF - May (FMAY) and Bridges Capital Tactical ETF (BDGS). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

The year-to-date returns for both investments are quite close, with FMAY having a 5.39% return and BDGS slightly higher at 5.64%.


FMAY

1D
-0.38%
1M
1.63%
YTD
5.39%
6M
6.32%
1Y
15.38%
3Y*
14.13%
5Y*
9.48%
10Y*

BDGS

1D
-0.29%
1M
1.26%
YTD
5.64%
6M
5.65%
1Y
13.85%
3Y*
14.06%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

FMAY vs. BDGS - Yearly Performance Comparison


2026 (YTD)202520242023
FMAY
FT Cboe Vest U.S. Equity Buffer ETF - May
5.39%12.69%14.45%12.76%
BDGS
Bridges Capital Tactical ETF
5.64%10.61%19.07%8.31%

Correlation

The correlation between FMAY and BDGS is 0.79, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


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

0.79

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

0.77

Correlation (All Time)
Calculated using the full available price history since May 12, 2023

0.77

The correlation between FMAY and BDGS has been stable across timeframes, ranging from 0.77 to 0.79 - a consistent structural relationship.

FMAY vs. BDGS - Sectors Allocation Comparison


Sectors
FMAY
BDGS

Technology

36.2%
37.4%

Financial Services

11.9%
9.3%

Communication Services

10.9%
16.6%

Consumer Cyclical

10.1%
10.9%

Healthcare

8.4%
7.5%

Industrials

8.1%
6.6%

Consumer Defensive

4.9%
4.1%

Energy

3.5%
2.6%

Utilities

2.3%
1.9%

Real Estate

1.9%
1.5%

Basic Materials

1.8%
1.5%

Technology

FMAY
36.2%
BDGS
37.4%

Financial Services

FMAY
11.9%
BDGS
9.3%

Communication Services

FMAY
10.9%
BDGS
16.6%

Consumer Cyclical

FMAY
10.1%
BDGS
10.9%

Healthcare

FMAY
8.4%
BDGS
7.5%

Industrials

FMAY
8.1%
BDGS
6.6%

Consumer Defensive

FMAY
4.9%
BDGS
4.1%

Energy

FMAY
3.5%
BDGS
2.6%

Utilities

FMAY
2.3%
BDGS
1.9%

Real Estate

FMAY
1.9%
BDGS
1.5%

Basic Materials

FMAY
1.8%
BDGS
1.5%

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Return for Risk

FMAY vs. BDGS — Risk / Return Rank

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

FMAY
FMAY Risk / Return Rank: 8383
Overall Rank
FMAY Sharpe Ratio Rank: 7979
Sharpe Ratio Rank
FMAY Sortino Ratio Rank: 8585
Sortino Ratio Rank
FMAY Omega Ratio Rank: 8787
Omega Ratio Rank
FMAY Calmar Ratio Rank: 7474
Calmar Ratio Rank
FMAY Martin Ratio Rank: 9191
Martin Ratio Rank

BDGS
BDGS Risk / Return Rank: 7474
Overall Rank
BDGS Sharpe Ratio Rank: 6868
Sharpe Ratio Rank
BDGS Sortino Ratio Rank: 7474
Sortino Ratio Rank
BDGS Omega Ratio Rank: 7878
Omega Ratio Rank
BDGS Calmar Ratio Rank: 6868
Calmar Ratio Rank
BDGS Martin Ratio Rank: 8181
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.

FMAY vs. BDGS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for FT Cboe Vest U.S. Equity Buffer ETF - May (FMAY) and Bridges Capital Tactical ETF (BDGS). 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.


FMAYBDGSDifference
Sharpe ratioReturn per unit of total volatility

+0.27

Sortino ratioReturn per unit of downside risk

+0.40

Omega ratioGain probability vs. loss probability

1.54

1.47

+0.06

Calmar ratioReturn relative to maximum drawdown

3.66

3.45

+0.21

Martin ratioReturn relative to average drawdown

21.48

16.47

+5.01

FMAY vs. BDGS - Sharpe Ratio Comparison

The current FMAY Sharpe Ratio is 2.56, which is comparable to the BDGS Sharpe Ratio of 2.29. The chart below compares the historical Sharpe Ratios of FMAY and BDGS, 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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Sharpe Ratios by Period


FMAYBDGSDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.56

2.29

+0.27

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.90

Sharpe Ratio (All Time)

Calculated using the full available price history

1.02

1.76

-0.74

Drawdowns

FMAY vs. BDGS - Drawdown Comparison

The maximum FMAY drawdown since its inception was -13.60%, which is greater than BDGS's maximum drawdown of -9.12%. Use the drawdown chart below to compare losses from any high point for FMAY and BDGS.


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Drawdown Indicators


FMAYBDGSDifference

Max Drawdown

Largest peak-to-trough decline

-13.60%

-9.12%

-4.48%

Max Drawdown (1Y)

Largest decline over 1 year

-4.22%

-4.03%

-0.19%

Max Drawdown (3Y)

Largest decline over 3 years

-13.12%

-9.12%

-4.00%

Max Drawdown (5Y)

Largest decline over 5 years

-13.60%

Current Drawdown

Current decline from peak

-0.38%

-0.83%

+0.45%

Average Drawdown

Average peak-to-trough decline

-2.01%

-0.64%

-1.37%

Ulcer Index

Depth and duration of drawdowns from previous peaks

0.72%

0.84%

-0.12%

Volatility

FMAY vs. BDGS - Volatility Comparison

The current volatility for FT Cboe Vest U.S. Equity Buffer ETF - May (FMAY) is 1.02%, while Bridges Capital Tactical ETF (BDGS) has a volatility of 1.14%. This indicates that FMAY experiences smaller price fluctuations and is considered to be less risky than BDGS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FMAYBDGSDifference

Volatility (1M)

Calculated over the trailing 1-month period

1.02%

1.14%

-0.12%

Volatility (6M)

Calculated over the trailing 6-month period

4.59%

4.74%

-0.15%

Volatility (1Y)

Calculated over the trailing 1-year period

6.04%

6.08%

-0.04%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.59%

8.21%

+2.38%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.15%

8.21%

+1.94%

FMAY vs. BDGS - Expense Ratio Comparison

FMAY has a 0.85% expense ratio, which is lower than BDGS's 0.87% expense ratio.


Dividends

FMAY vs. BDGS - Dividend Comparison

FMAY has not paid dividends to shareholders, while BDGS's dividend yield for the trailing twelve months is around 0.52%.


PositionTTM202520242023
BDGS
Bridges Capital Tactical ETF
0.52%0.55%1.81%0.84%
FMAY
FT Cboe Vest U.S. Equity Buffer ETF - May
0.00%0.00%0.00%0.00%

Frequently Asked Questions


FMAY and BDGS have a correlation of 0.79, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

BDGS has higher volatility (1.14%) compared to FMAY (1.02%). In terms of maximum drawdown, FMAY dropped -13.60% vs BDGS's -9.12%.

On 3-year performance, FMAY leads with 14.13% vs 14.06% for BDGS. On fees, FMAY is cheaper at 0.85% per year. On volatility, FMAY has been the lower-risk option at 1.02%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, FMAY has performed better with a 14.13% return vs 14.06%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

FMAY is cheaper with a 0.85% expense ratio, compared with 0.87% for BDGS.

BDGS has the higher dividend yield at 0.52%, compared with 0.00% for FMAY.

They also come from different issuers: First Trust and Bridges. Their fees differ too: 0.85% for FMAY and 0.87% for BDGS.

FMAY currently has the higher Sharpe Ratio (2.56 vs 2.29), 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

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