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StockSnips AI-Powered Sentiment US All Cap ETF

ETF
NEWZ
Payout Change
None
Price as of:
$25.0482 -0.04 -0.16%
primary theme
N/A
NEWZ (ETF)

StockSnips AI-Powered Sentiment US All Cap ETF

Payout Change
None
Price as of:
$25.0482 -0.04 -0.16%
primary theme
N/A
NEWZ (ETF)

StockSnips AI-Powered Sentiment US All Cap ETF

Payout Change
None
Price as of:
$25.0482 -0.04 -0.16%
primary theme
N/A

Name

As of 04/24/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

StockSnips AI-Powered Sentiment US All Cap ETF

NEWZ | ETF

$25.05

$3.4 M

0.00%

0.75%

Vitals

YTD Return

N/A

1 yr return

N/A

3 Yr Avg Return

N/A

5 Yr Avg Return

N/A

Net Assets

$3.4 M

Holdings in Top 10

N/A

52 WEEK LOW AND HIGH

$25.1
$24.41
$25.09

Expenses

OPERATING FEES

Expense Ratio 0.75%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover N/A

Redemption Fee N/A

Min Investment

Standard (Taxable)

N/A

IRA

N/A

Fund Classification

Fund Type

Exchange Traded Fund

Name

As of 04/24/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

StockSnips AI-Powered Sentiment US All Cap ETF

NEWZ | ETF

$25.05

$3.4 M

0.00%

0.75%

NEWZ - Profile

Distributions

  • YTD Total Return N/A
  • 3 Yr Annualized Total Return N/A
  • 5 Yr Annualized Total Return N/A
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio N/A
DIVIDENDS
  • Dividend Yield 0.0%
  • Dividend Distribution Frequency Quarterly

Fund Details

  • Legal Name
    StockSnips AI-Powered Sentiment US All Cap ETF
  • Fund Family Name
    N/A
  • Inception Date
    Apr 12, 2024
  • Shares Outstanding
    N/A
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    US

Fund Description

The Fund is an actively-managed exchange-traded fund (“ETF”) that seeks to achieve its investment objective by utilizing an investment strategy that leverages artificial intelligence (“AI”) and natural language processing to derive a proprietary News Media Sentiment Signal (the “Sentiment Signal”). AI refers to the application of computer systems to perform tasks that typically require human intelligence, discernment and adaption, such as decision-making, reasoning and learning from past experiences. The Fund’s sub-adviser, StockSnips, Inc. (“StockSnips” or the “Sub-Adviser”), uses an investment process based on a proprietary ranking and selection process, which is designed to identify stocks with the most positive news coverage, as described in more detail below.
Under normal circumstances, the Fund invests at least 80% of its net assets (plus the amounts of any borrowings for investment purposes) in securities of U.S.-listed large, mid and small capitalization companies. The Fund invests in equity securities of such companies, including common stock and American Depositary Receipts (“ADRs”).
The Sub-Adviser’s quantitative security selection process begins with an investment universe of all U.S. listed equity securities. The investment universe is then screened for securities of issuers included in the following industries, as defined by Zacks sector and industry classifications: Computer/Office Equipment, Computer Software/Service, Non-Food Retail, Drugs, Miscellaneous Technology, Business Services, Food/Drug-Retail, Medical Care, Soaps/Cosmetics, Electronic-Semi-Conductor, Telecommunication Services, Media, Beverages, Investment Brokers/Investment Management, Insurance, Medical Products, Transportation, Other Consumer Discretionary, Electronics, Telecommunications Equipment, Utilities - Gas Distribution, Food, Utilities - Electric Power, Finance, Consumer Products - Miscellaneous Staples, Tobacco and Business Products. These industries may be modified on an annual basis when the investment universe is reconstituted. The Sub-Adviser then excludes any securities that have (i) less than $2 billion in market capitalization, (ii) high volatility as compared to the market as measured by a beta of equal to or greater than 1.5, (iii) a return on equity, which measures how much net income a company generates per dollar of invested capital, that is less than 15%, and (iv) less than a defined volume of news coverage. This process typically yields a universe of approximately 350 securities. The Sub-Adviser then utilizes its algorithms to select sentiment leaders amongst the remaining investment universe.
The Sub-Adviser believes that quantification of news sentiment can be a proxy for investor sentiment. The Sub-Adviser employs quantitative modeling, which leverages the Sentiment Signal and a trending Sentiment Momentum signal (the “Sentiment Momentum Signal”). The Sentiment Signal uses natural language processing to derive investor sentiment using news articles, blogs and other textual information. The Sentiment Momentum Signal refers to the trend or direction of investor sentiment over time for a particular stock. A positive Sentiment Momentum Signal indicates growing optimism among investors, often leading to upward price movements. Conversely, a negative Sentiment Momentum Signal indicates increasing investor pessimism, which can lead to price declines.
The Sentiment Signal and the Sentiment Momentum Signal are each derived using natural language processing and machine learning algorithms that transform unstructured textual data from News Sources (as defined below) into quantified real-time sentiment signals. Machine learning refers to technologies that enable a computer to learn from data it has processed to incorporate different assumptions or past experience into future computations or analysis. In the context of the StockSnips sentiment signals, machine learning is used to classify “financial oriented” sentences (news snippets) attributed to a company as being positive, negative or uncertain.
StockSnips gathers news information on a daily basis and evaluates such information along with a proprietary historical sentiment dataset covering approximately 5,000 US equities. The algorithms rank the securities in the investment universe based on the amount of positive news available about a company and its sentiment momentum. The top 30 to 50 stocks are included in the Fund and are equal weighted. The Sub-Adviser expects that under normal market conditions, up to 95% of the portfolio assets will be invested in the securities recommended by the algorithms.
The news snippets are collected from reliable online sources, including news articles, blog posts, SEC filings, earnings transcripts and analyst reports from Zacks, Motley Fool, Associated Press, CNBC and other financial news sources (collectively “News Sources”). The Sub-Adviser considers a News Source to be reliable if it is obtained from a publication or other source that has authors/analysts who research and write opinions or reports on events relating to U.S. equities. Some New Sources are licensed by the Sub-Adviser and others are publicly available.
The portfolio is rebalanced and reconstituted on a monthly basis.
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NEWZ - Performance

Return Ranking - Trailing

Period NEWZ Return Category Return Low Category Return High Rank in Category (%)
YTD N/A N/A N/A N/A
1 Yr N/A N/A N/A N/A
3 Yr N/A* N/A N/A N/A
5 Yr N/A* N/A N/A N/A
10 Yr N/A* N/A N/A N/A

* Annualized

Return Ranking - Calendar

Period NEWZ Return Category Return Low Category Return High Rank in Category (%)
2023 N/A N/A N/A N/A
2022 N/A N/A N/A N/A
2021 N/A N/A N/A N/A
2020 N/A N/A N/A N/A
2019 N/A N/A N/A N/A

Total Return Ranking - Trailing

Period NEWZ Return Category Return Low Category Return High Rank in Category (%)
YTD N/A N/A N/A N/A
1 Yr N/A N/A N/A N/A
3 Yr N/A* N/A N/A N/A
5 Yr N/A* N/A N/A N/A
10 Yr N/A* N/A N/A N/A

* Annualized

Total Return Ranking - Calendar

Period NEWZ Return Category Return Low Category Return High Rank in Category (%)
2023 N/A N/A N/A N/A
2022 N/A N/A N/A N/A
2021 N/A N/A N/A N/A
2020 N/A N/A N/A N/A
2019 N/A N/A N/A N/A

NEWZ - Holdings

Concentration Analysis

NEWZ Category Low Category High NEWZ % Rank
Net Assets 3.4 M N/A N/A N/A
Number of Holdings N/A N/A N/A N/A
Net Assets in Top 10 N/A N/A N/A N/A
Weighting of Top 10 N/A N/A N/A N/A

Top 10 Holdings

Asset Allocation

Weighting Return Low Return High NEWZ % Rank
Stocks 		0.00% N/A N/A N/A
Preferred Stocks 		0.00% N/A N/A N/A
Other 		0.00% N/A N/A N/A
Convertible Bonds 		0.00% N/A N/A N/A
Cash 		0.00% N/A N/A N/A
Bonds 		0.00% N/A N/A N/A

NEWZ - Expenses

Operational Fees

NEWZ Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.75% N/A N/A N/A
Management Fee 0.75% N/A N/A N/A
12b-1 Fee N/A N/A N/A N/A
Administrative Fee N/A N/A N/A N/A

Sales Fees

NEWZ Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A N/A N/A N/A
Deferred Load N/A N/A N/A N/A

Trading Fees

NEWZ Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A N/A N/A N/A

Related Fees

Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.

NEWZ Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover N/A N/A N/A N/A

NEWZ - Distributions

Dividend Yield Analysis

NEWZ Category Low Category High NEWZ % Rank
Dividend Yield 0.00% N/A N/A N/A

Dividend Distribution Analysis

NEWZ Category Low Category High Category Mod
Dividend Distribution Frequency Quarterly

Net Income Ratio Analysis

NEWZ Category Low Category High NEWZ % Rank
Net Income Ratio N/A N/A N/A N/A

Capital Gain Distribution Analysis

NEWZ Category Low Category High Capital Mode
Capital Gain Distribution Frequency

Distributions History

View More +

NEWZ - Fund Manager Analysis

Tenure Analysis

Category Low Category High Category Average Category Mode
N/A N/A N/A N/A

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