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HUSV

HUSV HUSV

$40.04 -0.28 (-0.68%)
Neutral · +0.44σ

Price chart

Timeframe
Range

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Latest bar · HUSV

Momentum reads · latest daily bar
Last
$40.04
-0.28 (-0.68%)
Mkt cap
$73M
Large Value
RSI(14)
53.6
neutral
Stochastic %K
55.0
neutral
MFI(14)
48.2
neutral
ADX(14)
15.1
weak trend

Green means room to run, red means stretched — the reads re-read live as you switch the chart's timeframe. MFI(14) is a volume-weighted money-flow read: above 80 = overbought, below 20 = oversold.

Top holdings

TickerName Weight
CSCO Cisco Systems Inc 3.62%
GEN Gen Digital Inc 2.84%
AAPL Apple Inc 2.75%
VRSN VeriSign Inc 2.66%
TDY Teledyne Technologies Inc 2.61%
ROP Roper Technologies Inc 2.38%
MSFT Microsoft Corp 2.33%
MSI Motorola Solutions Inc 2.18%
KO Coca-Cola Co 2.10%
O Realty Income Corp 2.08%
Everything else 74.45%

Click any ticker to open its own chart page.

Sector / asset mix

Sector weightings

Technology
23.8%
Financial Services
15.2%
Utilities
12.2%
Industrials
11.3%
Realestate
9.8%
Healthcare
7.5%
Consumer Cyclical
7.4%
Consumer Defensive
6.2%
Basic Materials
3.2%
Energy
2.3%
Communication Services
1.2%

Asset split

Stock
99.8%
Cash
0.2%

Fund profile

Expense ratio
0.70%
Total assets (AUM)
$72.6M
Distribution yield
1.33%
Category
Large Value
Fund family
First Trust
Inception
Aug 24, 2016

Expense ratio is the annual cost of holding the fund; distribution yield is what it pays out.

Compare HUSV vs peers

Line HUSV up against up to 4 peers (5 tickers total) across ~30 metrics and get one weighted 0-100 verdict — best in green, worst in red. Peers also overlay on the chart above as rebased % lines, or flip the chart to the 2×2 grid for side-by-side mini charts.

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~30 metrics across Snapshot, OdysseyHQ zone, Valuation, Growth, Quality, Technicals, Sentiment, and Risk — with a weighted score and a one-line read on each.

About HUSV

The fund seeks to achieve its investment objective by investing at least 80% of its net assets in common stocks of domestic companies listed and traded on U.S. national securities exchanges that the sub-advisor believes exhibit low future expected volatility. To implement this strategy, the sub-advisor employs volatility forecasting models to forecast future expected volatility. The strategy is largely quantitative and rules-based, but also includes multiple parameters over which the sub-advisor may exercise discretion in connection with its active management of the fund.