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NEWZ vs. FDLS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

NEWZ vs. FDLS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in StockSnips AI-Powered Sentiment US All Cap ETF (NEWZ) and Inspire Fidelis Multi Factor ETF (FDLS). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, NEWZ achieves a 7.33% return, which is significantly lower than FDLS's 18.91% return.


NEWZ

1D
-0.28%
1M
-3.23%
6M
6.91%
YTD
7.33%
1Y
8.00%
3Y*
5Y*
10Y*
ALL TIME*
7.23%

FDLS

1D
0.26%
1M
0.93%
6M
13.39%
YTD
18.91%
1Y
35.82%
3Y*
17.43%
5Y*
10Y*
ALL TIME*
17.03%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$1.07M$1.36M$1.52M
$17.75K$65.61K$41.34K

NEWZ vs. FDLS - Yearly Performance Comparison


2026 (YTD)20252024
NEWZ
StockSnips AI-Powered Sentiment US All Cap ETF
7.33%-4.08%14.05%
FDLS
Inspire Fidelis Multi Factor ETF
18.91%22.47%6.07%

Correlation

The correlation between NEWZ and FDLS is 0.73, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.73

Correlation (All Time)
Calculated using the full available price history since Apr 12, 2024

0.75

The correlation between NEWZ and FDLS has been stable across timeframes, ranging from 0.73 to 0.75 - a consistent structural relationship.

NEWZ vs. FDLS - Sectors Allocation Comparison


Sectors
NEWZ
FDLS

Financial Services

23.3%
15.3%

Technology

19.3%
25.3%

Industrials

19.1%
13.0%

Healthcare

14.4%
12.8%

Communication Services

10.2%
2.3%

Utilities

10.0%
1.0%

Energy

9.9%
9.2%

Consumer Cyclical

9.2%
7.5%

Real Estate

6.9%
1.9%

Basic Materials

3.8%
7.5%

Consumer Defensive

3.3%
4.2%

Financial Services

NEWZ
23.3%
FDLS
15.3%

Technology

NEWZ
19.3%
FDLS
25.3%

Industrials

NEWZ
19.1%
FDLS
13.0%

Healthcare

NEWZ
14.4%
FDLS
12.8%

Communication Services

NEWZ
10.2%
FDLS
2.3%

Utilities

NEWZ
10.0%
FDLS
1.0%

Energy

NEWZ
9.9%
FDLS
9.2%

Consumer Cyclical

NEWZ
9.2%
FDLS
7.5%

Real Estate

NEWZ
6.9%
FDLS
1.9%

Basic Materials

NEWZ
3.8%
FDLS
7.5%

Consumer Defensive

NEWZ
3.3%
FDLS
4.2%

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Return for Risk

NEWZ vs. FDLS — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

NEWZ
NEWZ Risk / Return Rank: 2222
Overall Rank
NEWZ Sharpe Ratio Rank: 2121
Sharpe Ratio Rank
NEWZ Sortino Ratio Rank: 2121
Sortino Ratio Rank
NEWZ Omega Ratio Rank: 2020
Omega Ratio Rank
NEWZ Calmar Ratio Rank: 2222
Calmar Ratio Rank
NEWZ Martin Ratio Rank: 2323
Martin Ratio Rank

FDLS
FDLS Risk / Return Rank: 8686
Overall Rank
FDLS Sharpe Ratio Rank: 8585
Sharpe Ratio Rank
FDLS Sortino Ratio Rank: 8585
Sortino Ratio Rank
FDLS Omega Ratio Rank: 8282
Omega Ratio Rank
FDLS Calmar Ratio Rank: 8888
Calmar Ratio Rank
FDLS Martin Ratio Rank: 9090
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

NEWZ vs. FDLS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for StockSnips AI-Powered Sentiment US All Cap ETF (NEWZ) and Inspire Fidelis Multi Factor ETF (FDLS). 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.


NEWZFDLSDifference
Sharpe ratioReturn per unit of total volatility

-1.54

Sortino ratioReturn per unit of downside risk

-2.11

Omega ratioGain probability vs. loss probability

1.09

1.35

-0.26

Calmar ratioReturn relative to maximum drawdown

0.59

3.57

-2.97

Martin ratioReturn relative to average drawdown

1.67

14.14

-12.47

NEWZ vs. FDLS - Sharpe Ratio Comparison

The current NEWZ Sharpe Ratio is 0.45, which is lower than the FDLS Sharpe Ratio of 2.00. The chart below compares the historical Sharpe Ratios of NEWZ and FDLS, 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

NEWZ vs. FDLS - Drawdown Comparison

The maximum NEWZ drawdown since its inception was -19.40%, smaller than the maximum FDLS drawdown of -23.32%. Use the drawdown chart below to compare losses from any high point for NEWZ and FDLS.


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Drawdown Indicators


NEWZFDLSDifference

Max Drawdown

Largest peak-to-trough decline

-19.40%

-23.32%

+3.92%

Max Drawdown (1Y)

Largest decline over 1 year

-10.82%

-9.55%

-1.27%

Max Drawdown (3Y)

Largest decline over 3 years

-23.32%

Current Drawdown

Current decline from peak

-3.92%

-0.66%

-3.26%

Average Drawdown

Average peak-to-trough decline

-5.15%

-3.76%

-1.39%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.84%

2.41%

+1.43%

Volatility

NEWZ vs. FDLS - Volatility Comparison

The current volatility for StockSnips AI-Powered Sentiment US All Cap ETF (NEWZ) is 3.20%, while Inspire Fidelis Multi Factor ETF (FDLS) has a volatility of 3.54%. This indicates that NEWZ experiences smaller price fluctuations and is considered to be less risky than FDLS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


NEWZFDLSDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.20%

3.54%

-0.34%

Volatility (6M)

Calculated over the trailing 6-month period

9.49%

12.63%

-3.14%

Volatility (1Y)

Calculated over the trailing 1-year period

14.23%

17.09%

-2.86%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

15.65%

18.91%

-3.26%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

15.65%

18.91%

-3.26%

NEWZ vs. FDLS - Expense Ratio Comparison

NEWZ has a 0.75% expense ratio, which is lower than FDLS's 0.76% expense ratio.


Dividends

NEWZ vs. FDLS - Dividend Comparison

NEWZ's dividend yield for the trailing twelve months is around 0.04%, less than FDLS's 0.80% yield.


PositionTTM2025202420232022
FDLS
Inspire Fidelis Multi Factor ETF
0.80%0.86%7.26%0.97%0.31%
NEWZ
StockSnips AI-Powered Sentiment US All Cap ETF
0.04%0.27%0.18%0.00%0.00%

Frequently Asked Questions


NEWZ and FDLS have a correlation of 0.73, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

FDLS has higher volatility (3.54%) compared to NEWZ (3.20%). In terms of maximum drawdown, NEWZ dropped -19.40% vs FDLS's -23.32%.

On 1-year performance, FDLS leads with 35.82% vs 8.00% for NEWZ. On fees, NEWZ is cheaper at 0.75% per year. On volatility, NEWZ has been the lower-risk option at 3.20%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, FDLS has performed better with a 35.82% return vs 8.00%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

NEWZ is cheaper with a 0.75% expense ratio, compared with 0.76% for FDLS.

FDLS has the higher dividend yield at 0.80%, compared with 0.04% for NEWZ.

They also come from different issuers: Alpha Architect and Inspire. Their fees differ too: 0.75% for NEWZ and 0.76% for FDLS.

FDLS currently has the higher Sharpe Ratio (2.00 vs 0.45), 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 NEWZ and FDLS

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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