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Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) Fund Overview

Educational signal · not a buy or sell recommendation · How to read this

$39.13 +$0.3653 (+0.94%)
Vol: 3.6K|

Beta 0.82: the stock has moved about 18% less than the S&P 500.

Data from FMP · Methodology

For informational purposes only. Not financial advice. Machine-generated analysis by Stock Expert AI — model gemini-2.0-flash, generated Mar 16, 2026. Editorial oversight is systemic, not page-by-page. Editorially accountable: Sedat ANAK, Founder and Editor-in-Chief. Data sources: Financial Modeling Prep, Yahoo Finance, SEC EDGAR

Quick Answer

Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) trades at $39.13. Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) is an exchange-traded fund that tracks a selection of large-cap US stocks. Sector: Financials.

Price as of · Last analyzed: Mar 16, 2026
Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) is an exchange-traded fund that tracks a selection of large-cap US stocks. The fund uses machine learning models and over 100 market signals to optimize stock selection while adhering to constraints on stock concentration and industry exposure.

Analyst Coverage for RWLC: RWLC does not currently have published analyst price targets in our coverage universe. This is common for smaller-cap names with limited Wall Street coverage.

▶ Watch the RWLC film Every key number, told as a short cinematic story — just press play. ~2 min

Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) Financial Services Profile

CEOJason Hsu
HeadquartersNewport Beach, US
IPO Year2021

Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) utilizes machine learning to select and optimize a portfolio of large-cap US equities. Employing over 100 market signals and factor categories, RWLC aims to deliver risk-adjusted returns while maintaining diversification relative to the FT Wilshire US Large Cap Index, offering investors exposure to a quantitatively managed large-cap strategy.

Data Provenance | Financial Data Quantitative Analysis Analysis: Mar 16, 2026

What Is the Investment Thesis for RWLC?

AI-written as of Mar 16, 2026 — figures and tone reflect the data available then, not today's score.

RWLC presents an investment opportunity for investors seeking exposure to a quantitatively managed large-cap U.S. equity portfolio. The fund's machine learning-driven approach aims to identify stocks with attractive risk-adjusted return potential, potentially outperforming traditional market-cap weighted indices. With a beta of 0.82, RWLC exhibits lower volatility compared to the broader market. The quarterly reconstitution of the index allows for dynamic adjustments to market conditions. However, investors should be aware of the potential risks associated with quantitative strategies, including model risk and the possibility of underperformance relative to benchmark indices. The fund's success hinges on the continued effectiveness of its machine learning models and the ability to adapt to evolving market dynamics.

Based on FMP financials and quantitative analysis

RWLC Key Highlights

AI-written as of Mar 16, 2026 — figures and tone reflect the data available then, not today's score.

RWLC has a market capitalization of $3.42 billion, indicating its significant presence in the large-cap equity space.

  • The fund's beta of 0.82 suggests lower volatility compared to the overall market, potentially offering a more stable investment option.
  • RWLC employs a machine learning-driven approach to stock selection, utilizing over 100 market signals and factor categories.
  • The fund is reconstituted quarterly, allowing for dynamic adjustments to market conditions and potentially capturing emerging opportunities.
  • RWLC aims to provide diversified exposure to large-cap U.S. equities while limiting stock concentration and industry exposure relative to the FT Wilshire US Large Cap Index.

Who Are RWLC's Competitors?

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

Company Price Change Market Cap MoonshotScore
ACES ALPS Clean Energy ETF $27.83 -0.75% $106M —
ACSI American Customer Satisfaction ETF $75.32 +0.32% $112M —
FEBW AllianzIM U.S. Equity Buffer20 Feb ETF $36.53 +0.19% $121M —
FFND One Global ETF $32.41 +0.58% $101M —
GSEU Goldman Sachs ActiveBeta Europe Equity ETF $47.11 -0.73% $113M —
BLK BlackRock, Inc. $1066.45 +0.64% $165B 51 5-pillar
BX Blackstone Inc. $111.64 -0.09% $136B 68 5-pillar
APOS Apollo Global Management, Inc. $25.59 0.00% $74.8B 56 5-pillar

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

What Are RWLC's Key Strengths?

Proprietary machine learning models for stock selection.

  • Diversified portfolio of large-cap U.S. equities.
  • Relatively low expense ratio.
  • Quarterly reconstitution allows for dynamic adjustments to market conditions.

What Are RWLC's Weaknesses?

Dependence on the effectiveness of machine learning models.

  • Potential for underperformance relative to benchmark indices.
  • Limited track record as a passively managed ETF (since December 2025).
  • Vulnerability to model risk and data biases.

What Are the Key Risks for RWLC?

Model risk associated with the fund's machine learning models, which may lead to underperformance.

  • Changes in market conditions that may negatively impact the performance of the fund's investment strategy.
  • Increased competition from other ETFs and asset managers.
  • Regulatory changes that may impact the ETF industry.
  • Economic downturn or market volatility that could negatively impact the value of the fund's holdings.

What Are RWLC's Competitive Advantages?

  • Proprietary machine learning models that aim to identify stocks with attractive risk-adjusted return potential.
  • Diversified portfolio of large-cap U.S. equities, reducing concentration risk.
  • Low expense ratio compared to actively managed funds, attracting cost-conscious investors.

What Does RWLC Do?

Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) is a passively managed exchange-traded fund (ETF) designed to track the performance of a portfolio of large-capitalization U.S. stocks selected and weighted using a proprietary, machine learning-driven methodology. The fund's investment strategy revolves around identifying stocks with attractive risk-adjusted return potential based on a comprehensive analysis of over 100 market-level, fundamental, and technical signals spanning 12 major factor categories. These factors are used to estimate stock risk-adjusted returns and the covariance matrix. The fund aims to optimize portfolio construction while adhering to constraints that limit stock concentration and industry exposure relative to the FT Wilshire US Large Cap Index. This approach seeks to provide investors with exposure to a diversified portfolio of large-cap U.S. equities while potentially enhancing returns through quantitative stock selection. The index is reconstituted quarterly, using data from the prior month-end to ensure timely adjustments to market conditions. Before December 19, 2025, the fund operated as an actively managed fund named Rayliant Quantitative Developed Market Equity ETF (RAYD).

What Products and Services Does RWLC Offer?

  • Tracks a selection of large-cap US stocks.
  • Utilizes machine learning models to optimize stock selection.
  • Employs over 100 market-level, fundamental, and technical signals.
  • Considers 12 major factor categories in its analysis.
  • Applies constraints to limit stock concentration.
  • Manages industry exposure relative to the FT Wilshire US Large Cap Index.
  • Reconstitutes the index quarterly to adapt to market changes.

How Does RWLC Make Money?

  • Generates revenue through management fees charged on assets under management (AUM).
  • Attracts investors seeking exposure to a quantitatively managed large-cap U.S. equity portfolio.
  • Utilizes a machine learning-driven approach to stock selection, aiming to enhance returns while managing risk.

What Industry Does RWLC Operate In?

RWLC operates within the asset management industry, specifically focusing on exchange-traded funds (ETFs). The ETF market has experienced significant growth in recent years, driven by increasing investor demand for low-cost, diversified investment vehicles. The competitive landscape includes both passively managed and actively managed ETFs, with a growing emphasis on quantitative and factor-based strategies. RWLC differentiates itself through its machine learning-driven approach to stock selection, aiming to enhance returns while managing risk. The fund's success depends on its ability to effectively compete with other large-cap equity ETFs and deliver consistent performance relative to its benchmark.

Who Are RWLC's Key Customers?

  • Retail investors seeking diversified exposure to large-cap U.S. equities.
  • Institutional investors, such as pension funds and endowments, seeking quantitatively managed investment strategies.
  • Financial advisors seeking to incorporate factor-based ETFs into client portfolios.
Model self-rating on this text: 69% (not a measure of the evidence) Updated: Mar 16, 2026

Research confidence

Low

Thin evidence — scoring coverage unknown. Treat this as a starting point, not a conclusion.

  • ● Scoring coverage unknown
  • ● Price is current
  • ● No filing on record
  • ● No analyst coverage
  • ● This is an etf, not an operating company

RWLC Financials

Bull Case vs Bear Case

Bull Case

  • Proprietary machine learning models for stock selection.
  • Diversified portfolio of large-cap U.S. equities.
  • Relatively low expense ratio.
  • Quarterly reconstitution allows for dynamic adjustments to market conditions.

Bear Case

  • Dependence on the effectiveness of machine learning models.
  • Potential for underperformance relative to benchmark indices.
  • Limited track record as a passively managed ETF (since December 2025).
  • Vulnerability to model risk and data biases.

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

RWLC Latest News

No recent news available for RWLC.

RWLC Analyst Consensus

Consensus Rating

Aggregated Buy/Hold/Sell recommendations collected by Financial Modeling Prep for RWLC.

Price Targets

Wall Street price target analysis for RWLC.

RWLC MoonshotScore

MoonshotScore is Stock Expert AI's proprietary 0-100 research rating, not a buy or sell recommendation. No MoonshotScore is published for RWLC; grades run from A+ (80-100) to F (below 30).

Leadership: Jason Hsu

Unknown

Further research would be required to provide a comprehensive biography, including his career history, education, previous roles, and credentials.

Track Record: Information about Jason Hsu's track record is not available in the provided context. Further research would be required to assess his key achievements, strategic decisions, and company milestones under his leadership.

Common Questions About RWLC (Financials)

What does Rayliant Wilshire NxtGen US Large Cap Equity ETF do?

Rayliant Wilshire NxtGen US Large Cap Equity ETF (RWLC) is an exchange-traded fund that employs a machine learning-driven approach to invest in a diversified portfolio of large-cap U.S. stocks.

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

Price as of Analysis updated

MoonshotScore is not published for this security.

Data Sources & Methodology
Figures come from Financial Modeling Prep (FMP). If FMP has no figure for a ticker, a price or fundamental may come from a Yahoo Finance fallback, or a price from an Alpaca fallback. SEC EDGAR is used only for filing links and company identity details (legal name, address), never for figures. 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
  • Information on CEO track record is unavailable.
Data Sources
Financial Modeling Prep (FMP)Stock Expert AI proprietary analysis