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Simplify Wolfe US Equity 150/50 ETF (WUSA) Stock Analysis

DELISTED 2025

What happened to Simplify Wolfe US Equity 150/50 ETF (WUSA) stock?

Simplify Wolfe US Equity 150/50 ETF (WUSA) no longer trades on public markets. It was delisted in May 2025. The figures below are historical and are not a current quote.

MCap: $23.8M| Vol: 656|
Data from FMP · Methodology

For informational purposes only. Not financial advice. Analysis by Sedat ANAK, Founder & Editor-in-Chief | AI-powered analysis. Data sourced from SEC filings and institutional-grade financial providers. Editorially reviewed. Not financial advice.

Simplify Wolfe US Equity 150/50 ETF (WUSA) trades at $24.78. The Simplify Wolfe US Equity 150/50 ETF (WUSA) aims for capital growth through a unique long/short strategy, leveraging machine learning to select approximately 250… Market cap: $23.8M, Sector: Financial services.

Last analyzed: Jun 15, 2026
The Simplify Wolfe US Equity 150/50 ETF (WUSA) aims for capital growth through a unique long/short strategy, leveraging machine learning to select approximately 250 long and 150 short positions. It maintains a net 100% equity market exposure with 150% capital in long holdings and 50% in short holdings.

Analyst Coverage for WUSA: WUSA does not currently have published analyst price targets in our coverage universe. This is common for smaller-cap names with limited Wall Street coverage. In the absence of analyst consensus, our AI model evaluates WUSA against Financial Services peers across nine fundamental dimensions and assigns a neutral fundamental signal based on the underlying data.

Watch the WUSA film Every key number, told as a short cinematic story — just press play. ~2 min
Council Score · Weighted Average of 3 Disciplines
Split View 47/100 · C

WUSA: the 2 scored disciplines are evenly split. Dominant signal: Izzy Englander bullish.

How is this calculated? →
Legends Council · 5 Legends + Moon AI
Ray Dalio
Bullish
Jim Simons
Neutral
Izzy Englander
Bullish
Seth Klarman
Neutral
Moon AI
Bearish
Munger's Mindset · Balance Sheet & Valuation
Financial Health
Neutral
Margin of Safety
Fairly Valued
Council Score · Weighted Average of 3 Disciplines · See tabs for details →

Simplify Wolfe US Equity 150/50 ETF (WUSA) Financial Services Profile

IPO Year2015

The Simplify Wolfe US Equity 150/50 ETF (WUSA) is an actively managed fund in the Financial Services sector, employing a sophisticated machine learning algorithm to identify long and short equity positions. It targets capital growth through a 150% long and 50% short strategy, aiming for a net 100% equity market exposure.

Data Provenance | Financial Data Quantitative Analysis Analysis: Jun 15, 2026

What Is the Investment Thesis for WUSA?

As of Jun 15, 2026 — figures reflect the data available on that date.

The investment thesis for Simplify Wolfe US Equity 150/50 ETF (WUSA) centers on its distinctive machine learning-driven long/short strategy designed for capital growth. With a market capitalization of $23.8M, WUSA employs a leveraged approach, committing 150% of its capital to long positions and 50% to short positions, resulting in a net 100% equity market exposure. This methodology, guided by a sophisticated algorithm analyzing fundamental indicators, aims to identify both outperforming and underperforming stocks, potentially generating alpha in various market conditions. Its beta of 1.17 suggests a higher sensitivity to market movements than the broader market, indicating amplified returns during expansions but also amplified losses during downturns. The fund's ability to take short positions offers a potential hedge against market declines, differentiating it from traditional long-only ETFs. Growth catalysts include increasing investor appetite for quantitatively managed funds, potential for strong performance during periods of market volatility where short positions can add value, and the continued refinement and proven efficacy of its machine learning algorithm. However, the leveraged structure presents a significant risk of amplified losses, requiring close monitoring of market volatility and the fund's daily performance.

Based on FMP financials and quantitative analysis

WUSA Key Highlights

Distinctive 150/50 Strategy: The fund allocates 150% of its capital to long positions and 50% to short positions, maintaining a net 100% equity market exposure.

  • Machine Learning Driven Selection: Equity selection for both long and short portfolios is powered by a sophisticated machine learning algorithm analyzing fundamental indicators.
  • Leveraged Exposure: The strategy employs a leveraged structure, aiming to amplify returns, both positive and negative, relative to a standard equity investment.
  • Market Capitalization: WUSA currently has a relatively small market capitalization of $23.8M, indicating it is a niche or newer fund in the ETF landscape.
  • Market Sensitivity (Beta): With a Beta of 1.17, the fund exhibits higher volatility and sensitivity to overall market movements compared to the broader market average.

Who Are WUSA's Competitors?

WUSA is benchmarked below against 8 industry peers on price, market cap, and our AI MoonshotScore.

Company Price Change Market Cap AI Score
BCG Binah Capital Group, Inc. $1.40 +0.72% $23.5M 78
ALTEX Firsthand Alternative Energy Fund $12.93 -1.90% $8.98M 82
EEA The European Equity Fund, Inc. $11.15 -0.59% $74.7M 67
HNNA Hennessy Advisors, Inc. $9.89 -1.30% $78.2M 81
IDKFF ThreeD Capital Inc. $0.07 +13.85% $6.98M 70
ETHT ProShares - Ultra Ether ETF $12.57 +19.94% $92.2M 68
TPZ Tortoise Electrification Infrastructure ETF $21.62 -0.18% $127M 70
CHECU Chenghe Acquisition III Co. Units $10.25 +0.39% $134M 67

AI Score by Stock Expert AI · Price data: FMP / Yahoo Finance

What Are WUSA's Key Strengths?

Utilizes a sophisticated machine learning algorithm for data-driven stock selection.

  • Distinctive 150/50 long/short strategy offers potential for alpha generation in various market conditions.
  • Maintains a net 100% equity market exposure, providing defined market participation.
  • Benefits from the transparency and liquidity of the ETF structure.

What Are WUSA's Weaknesses?

Small market capitalization ($0.02B) may indicate limited liquidity or early stage of fund growth.

  • Leveraged structure (150% long, 50% short) amplifies both gains and losses.
  • Performance is heavily reliant on the consistent efficacy of the machine learning algorithm.
  • No dividend yield, which may deter income-focused investors.

What Could Drive WUSA Stock Higher?

WUSA catalyst: Consistent Outperformance: A sustained period of strong relative performance against its benchmark or peer group could significantly attract new capital and increase the fund's assets under management.

  • Growth in Quantitative Investing Trend: The continued broader market trend of institutional and retail investors allocating more capital to quantitative and AI-driven investment strategies will naturally benefit funds like WUSA.
  • Positive Media Coverage or Analyst Endorsement: Favorable articles, research reports, or inclusion in recommended lists by financial media or independent analysts could boost visibility and investor interest.
  • Market Volatility: Periods of increased market volatility, where the fund's long/short strategy can potentially demonstrate its ability to navigate downturns or capture alpha from both sides of the market, could serve as a catalyst.

What Are the Key Risks for WUSA?

Amplified Losses from Leveraged Strategy: The 150% long and 50% short leveraged structure means that negative market movements or incorrect stock selections can lead to losses that are amplified beyond a traditional 100% long-only investment.

  • Algorithm Underperformance: The fund's reliance on a machine learning algorithm for stock selection carries the risk that the algorithm may fail to identify profitable long positions or effective short positions, leading to sustained underperformance.
  • Market Volatility and Drawdown Risk: Despite short positions, significant and rapid market downturns could still result in substantial drawdowns for the fund, especially if the long positions suffer more than the short positions gain.
  • Small Asset Base and Liquidity: With a market cap of $23.8M, the fund's relatively small asset base could imply lower trading liquidity for investors and potentially higher expense ratios if AUM does not grow.
  • Competition from Other Quant Funds: The quantitative investing space is highly competitive, and WUSA faces ongoing pressure from numerous other funds employing similar or alternative data-driven strategies, potentially limiting its ability to attract and retain assets.

What Are the Growth Opportunities for WUSA?

  • Increasing Adoption of Quantitative Strategies: The financial industry is witnessing a significant trend towards the integration of artificial intelligence and machine learning in investment decision-making. As investors become more comfortable with data-driven approaches and seek alternatives to traditional discretionary management, funds like WUSA, which explicitly leverage sophisticated algorithms for stock selection, are well-positioned. WUSA's established methodology could attract a larger pool of institutional and sophisticated retail investors seeking systematic alpha generation.
  • Demand for Actively Managed ETFs: While passive investing remains popular, there is a growing demand for actively managed ETFs that offer the potential for outperformance while maintaining the transparency, liquidity, and cost-efficiency benefits of the ETF structure. WUSA's active, machine learning-driven 150/50 strategy provides a distinct offering in this expanding market. The actively managed ETF segment has seen consistent asset inflows, indicating a preference among some investors for professional management within the ETF wrapper. This trend is expected to continue, providing a favorable environment for WUSA to attract additional assets under management.
  • Potential for Outperformance in Volatile Markets: WUSA's unique 150/50 long/short strategy, which includes significant short positions, offers a potential advantage during periods of increased market volatility or downturns. While long-only strategies are entirely exposed to market declines, WUSA's ability to profit from falling stock prices in its short book can mitigate losses or even generate positive returns when the broader market struggles. As economic cycles continue and market corrections remain an inherent part of investing, the appeal of strategies that can perform in diverse market conditions is likely to grow, attracting investors seeking more resilient portfolio components.
  • Expansion of Investor Base through Education: As a relatively specialized and complex investment product, WUSA has the opportunity to expand its investor base by increasing educational outreach. Many investors may not fully understand the nuances of a 150/50 long/short, machine learning-driven strategy. By clearly articulating its methodology, risk management, and potential benefits through webinars, detailed reports, and partnerships with financial advisors, WUSA can demystify its offering. This proactive education can unlock demand from a broader segment of sophisticated retail investors and smaller institutional clients who are looking for diversified, non-traditional equity exposures.
  • Track Record Development and Asset Gathering: As WUSA continues to operate and establish a longer performance track record, particularly one that demonstrates its ability to generate alpha or manage risk effectively across different market cycles, it can significantly accelerate asset gathering. In the ETF and asset management industry, a strong, consistent track record is a primary driver for attracting new capital. With sufficient time, positive performance data could lead to increased visibility, higher ratings from fund evaluators, and inclusion in institutional allocation models, thereby driving substantial growth in assets under management (AUM) and overall fund size.

What Are WUSA's Competitive Advantages?

  • Proprietary Machine Learning Algorithm: The core competitive advantage lies in its sophisticated algorithm for stock selection, which is unique to Simplify and Wolfe Research.
  • Distinctive 150/50 Strategy: The specific leveraged long/short allocation provides a differentiated approach compared to traditional long-only or even many market-neutral funds.
  • Expertise in Quantitative Research: Leveraging the quantitative research capabilities of Wolfe Research provides a specialized edge in developing and refining the investment model.
  • ETF Structure Benefits: Operating as an ETF offers advantages in terms of liquidity, transparency, and potentially lower costs compared to traditional hedge funds, making the sophisticated strategy more accessible.

What Does WUSA Do?

The Simplify Wolfe US Equity 150/50 ETF (WUSA) operates within the asset management industry, offering a distinctive approach to capital growth through its actively managed fund. Established to provide investors with exposure to a quantitatively driven equity strategy, WUSA differentiates itself by simultaneously holding long positions in approximately 250 U.S. companies while also initiating short positions against roughly 150 others. This dual-directional strategy is not arbitrary; it is powered by a sophisticated machine learning algorithm. This algorithm is designed to meticulously analyze a vast array of fundamental indicators, identifying equities with the strongest potential for future returns and those projected to underperform. The fund's name, "150/50," directly reflects its unique asset allocation model: 150% of its total capital is deployed into its long holdings, while 50% is allocated to its short positions. This structure results in a net equity market exposure of 100%, effectively providing a leveraged yet market-neutral (in terms of net exposure) approach to capturing alpha. WUSA's methodology seeks to capitalize on both rising and falling equity prices within its selected universe, aiming to deliver enhanced returns compared to traditional long-only strategies. Its focus on quantitative analysis and machine learning positions it at the forefront of modern active investment management, appealing to investors seeking sophisticated, data-driven strategies in the U.S. equity market.

What Products and Services Does WUSA Offer?

  • Manages an actively traded Exchange Traded Fund (ETF) focused on U.S. equities.
  • Employs a distinctive "150/50" investment strategy, simultaneously holding long and short positions.
  • Purchases long positions in approximately 250 different companies identified as potential outperformers.
  • Initiates short positions against roughly 150 companies projected to underperform.
  • Utilizes a sophisticated machine learning algorithm to select these specific equities.
  • The algorithm analyzes a vast number of fundamental indicators to inform its stock selection.
  • Maintains a net equity market exposure of 100% by allocating 150% of capital to long holdings and 50% to short holdings.
  • Aims to deliver capital growth by capitalizing on both rising and falling stock prices.

How Does WUSA Make Money?

  • Generates revenue primarily through management fees charged as a percentage of assets under management (AUM).
  • The fund's objective is capital growth, which, if achieved, can attract more AUM and thus higher fee income.
  • Relies on the efficacy of its proprietary machine learning algorithm to drive investment performance and attract investors.
  • Operates within the regulatory framework for ETFs, providing daily transparency of holdings.

What Industry Does WUSA Operate In?

Simplify Wolfe US Equity 150/50 ETF (WUSA) operates within the highly competitive and evolving asset management industry, specifically targeting the U.S. equity market through an actively managed exchange-traded fund (ETF) structure. The broader industry is experiencing a significant shift towards passive investing, but simultaneously, there's a growing niche for sophisticated active strategies, particularly those leveraging quantitative methods and artificial intelligence. WUSA positions itself within this latter segment, offering a differentiated approach compared to traditional long-only index funds or even many actively managed mutual funds. The competitive landscape includes other quantitative hedge funds, actively managed ETFs employing various strategies, and traditional asset managers with their own long/short or absolute return offerings. WUSA's reliance on a machine learning algorithm for stock selection places it among a growing cohort of "quant funds" that seek to exploit market inefficiencies through data-driven insights. The market trend towards transparency and lower fees, characteristic of the ETF wrapper, combined with the demand for potentially higher alpha generation from active management, creates a unique space for funds like WUSA.

Who Are WUSA's Key Customers?

  • Institutional investors seeking sophisticated, quantitatively driven equity strategies.
  • Sophisticated retail investors and high-net-worth individuals looking for active management and leveraged exposure.
  • Financial advisors and wealth managers incorporating specialized ETFs into client portfolios.
  • Investors seeking diversified exposure to U.S. equities with a unique long/short overlay.
AI Confidence: 78% Updated: Jun 15, 2026

WUSA Valuation & Market Position

With a $23.8M market cap, Simplify Wolfe US Equity 150/50 ETF sits in the micro-cap segment of the market.

ROE 0%

Key Financial Metrics

Return on equity for Simplify Wolfe US Equity 150/50 ETF stands at 0.0%, a gauge of how efficiently it converts shareholder capital into profit. Return on assets is 0.0%, showing how much profit it generates from its asset base. WUSA trades at a trailing price-to-earnings ratio of 0.00, below the Financial Services sector average of ~18x. Its free cash flow yield is 0.0%, a gauge of the cash the business throws off relative to its market value. A current ratio of 0.00 means current liabilities exceed short-term assets, a liquidity point worth watching. Its earnings yield is 0.0%, the inverse of the P/E and a quick read on earnings relative to price.

WUSA Financials

Bull Case vs Bear Case

Bull Case

  • Utilizes a sophisticated machine learning algorithm for data-driven stock selection.
  • Distinctive 150/50 long/short strategy offers potential for alpha generation in various market conditions.
  • Maintains a net 100% equity market exposure, providing defined market participation.
  • Benefits from the transparency and liquidity of the ETF structure.

Bear Case

  • Small market capitalization ($0.02B) may indicate limited liquidity or early stage of fund growth.
  • Leveraged structure (150% long, 50% short) amplifies both gains and losses.
  • Performance is heavily reliant on the consistent efficacy of the machine learning algorithm.
  • No dividend yield, which may deter income-focused investors.

AI-generated arguments based on insider flow, news sentiment and technicals — not financial advice · August 2026

WUSA Latest News

No recent news available for WUSA.

Common Questions About WUSA (Financial Services)

What happened to Simplify Wolfe US Equity 150/50 ETF (WUSA) stock?

Simplify Wolfe US Equity 150/50 ETF (WUSA) no longer trades on public markets. It was delisted in May 2025. The figures below are historical and are not a current quote.

Can I still buy WUSA shares?

No. WUSA stopped trading on public markets in May 2025, so the shares are not available through a broker. Anything you see quoted for WUSA elsewhere is historical data, not a live market.

Are the figures on this page current?

No. Every number here is the last value recorded before WUSA stopped trading. Nothing on this page updates, and none of it is a current quote.

Why does this page still exist?

Because people still search for what happened to Simplify Wolfe US Equity 150/50 ETF. An archived profile that states the delisting plainly is more useful than a dead link — provided it is labelled as history, which is what this page does.

How does Simplify Wolfe US Equity 150/50 ETF generate returns and make money in the financial services sector?

The Simplify Wolfe US Equity 150/50 ETF (WUSA) aims to generate capital growth for its investors through its unique 150% long and 50% short equity strategy, driven by a machine learning algorithm. The fund itself makes money primarily by charging a management fee, typically a percentage of the total assets under management (AUM).

What are the unique aspects of WUSA's investment strategy compared to traditional equity ETFs?

WUSA significantly differentiates itself from traditional long-only equity ETFs through its sophisticated 150/50 long/short strategy and its reliance on machine learning. While most equity ETFs simply track an index or invest solely in long positions, WUSA simultaneously buys approximately 250 stocks it expects to outperform and sells short about 150 stocks it expects to underperform.

What are the primary risks associated with investing in Simplify Wolfe US Equity 150/50 ETF?

Investing in WUSA carries several key risks, primarily stemming from its leveraged and active nature. The fund's 150% long and 50% short strategy means that both positive and negative market movements are amplified, leading to potentially significant losses during market downturns or if the algorithm makes incorrect selections.

How does WUSA's machine learning algorithm function in selecting its long and short positions?

WUSA's investment process is fundamentally driven by a sophisticated machine learning algorithm designed to identify actionable insights from vast datasets. This algorithm meticulously assesses a multitude of fundamental indicators across a broad universe of U.S. equities. These indicators likely include traditional financial metrics such as earnings growth, revenue trends, valuation ratios, balance sheet strength, and potentially alternative data sources.

Disclaimer: This content is for informational purposes only and does not constitute investment advice. Always do your own research and consult a financial advisor.

Official Resources

Analysis updated
Data Sources & Methodology
Market data powered by Financial Modeling Prep & Yahoo Finance. AI analysis by Stock Expert AI proprietary algorithms. Technical indicators via industry-standard calculations. Last updated: .
Data Provenance
Sources: Financial Modeling Prep (FMP) — Primary · Yahoo Finance — Fallback · Alpaca — Tertiary
Last fetched:
Cache TTL: Quote 5min · Profile 7d · Financials 7d · Insider 48h
How we use AI: Numbers are pulled directly from FMP & Yahoo Finance — our AI writes the analysis, it never edits the figures.
Data provided as-is for educational purposes. Not financial advice. Methodology

Data provided for informational purposes only.

Analysis Notes
  • All information is derived directly from the provided source data. No external information or speculation was used.
Data Sources

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