StockSnips AI-Powered Sentiment US All Cap ETF
ETF
NEWZ
Price as of:
$29.56
+ $0.12
+ 0.42%
Primary Theme
N/A
fund company
N/A
Name
As of 11/22/2024Price
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
Vitals
YTD Return
N/A
1 yr return
N/A
3 Yr Avg Return
N/A
5 Yr Avg Return
N/A
Net Assets
$17.5 M
Holdings in Top 10
37.1%
52 WEEK LOW AND HIGH
$29.4
$24.41
$29.84
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 11/22/2024Price
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
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
- Dividend Yield 0.1%
- Dividend Distribution Frequency None
Fund Details
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Legal NameStockSnips AI-Powered Sentiment US All Cap ETF
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Fund Family NameN/A
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Inception DateApr 12, 2024
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Shares OutstandingN/A
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Share ClassN/A
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CurrencyUSD
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Domiciled CountryUS
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.
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 | 17.5 M | N/A | N/A | N/A |
Number of Holdings | 31 | N/A | N/A | N/A |
Net Assets in Top 10 | 4.67 M | N/A | N/A | N/A |
Weighting of Top 10 | 37.05% | N/A | N/A | N/A |
Top 10 Holdings
- Badger Meter Inc 4.15%
- NetApp Inc 3.83%
- Manhattan Associates Inc 3.72%
- Brown Brown Inc 3.68%
- KKR Co Inc 3.67%
- Universal Health Services Inc 3.64%
- TJX Cos Inc/The 3.62%
- Trane Technologies PLC 3.61%
- NMI Holdings Inc 3.57%
- ServiceNow Inc 3.56%
Asset Allocation
Weighting | Return Low | Return High | NEWZ % Rank | |
---|---|---|---|---|
Stocks | 99.80% | N/A | N/A | N/A |
Cash | 0.24% | 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 |
Bonds | 0.00% | N/A | N/A | N/A |
Stock Sector Breakdown
Weighting | Return Low | Return High | NEWZ % Rank | |
---|---|---|---|---|
Utilities | 0.00% | N/A | N/A | N/A |
Technology | 0.00% | N/A | N/A | N/A |
Real Estate | 0.00% | N/A | N/A | N/A |
Industrials | 0.00% | N/A | N/A | N/A |
Healthcare | 0.00% | N/A | N/A | N/A |
Financial Services | 0.00% | N/A | N/A | N/A |
Energy | 0.00% | N/A | N/A | N/A |
Communication Services | 0.00% | N/A | N/A | N/A |
Consumer Defense | 0.00% | N/A | N/A | N/A |
Consumer Cyclical | 0.00% | N/A | N/A | N/A |
Basic Materials | 0.00% | N/A | N/A | N/A |
Stock Geographic Breakdown
Weighting | Return Low | Return High | NEWZ % Rank | |
---|---|---|---|---|
US | 99.80% | N/A | N/A | N/A |
Non US | 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 | 0.10% | N/A | N/A | N/A |
Dividend Distribution Analysis
NEWZ | Category Low | Category High | Category Mod | |
---|---|---|---|---|
Dividend Distribution Frequency | None |
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
Date | Amount | Type |
---|---|---|
Sep 27, 2024 | $0.007 | OrdinaryDividend |
Jun 27, 2024 | $0.038 | OrdinaryDividend |