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JPMorgan Fundamental Data Science Large Core ETF (LCDS) Fund Overview

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

$73.93 +$0.6867 (+0.94%)
Vol: 12|

Beta 0.99: the stock has moved roughly in step with the S&P 500.

Data from FMP · Methodology

For informational purposes only. Not financial advice. Machine-generated analysis by Stock Expert AI — model gemini-2.5-flash, generated Jun 14, 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

JPMorgan Fundamental Data Science Large Core ETF (LCDS) trades at $73.93. Sector: Financials.

Price as of · Last analyzed: Jun 14, 2026
The JPMorgan Fundamental Data Science Large Core ETF (LCDS) is an actively managed exchange-traded fund that invests primarily in large-cap U.S. equities, with a significant focus on the technology sector or technology-dependent companies. It leverages a proprietary data science model, integrating advanced analytics with traditional fundamental research to construct a concentrated, non-diversified portfolio aiming for long-term capital appreciation.

Analyst Coverage for LCDS: LCDS 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 LCDS film Every key number, told as a short cinematic story — just press play. ~2 min

JPMorgan Fundamental Data Science Large Core ETF (LCDS) Financial Services Profile

HeadquartersNew York, US
IPO Year2024

The JPMorgan Fundamental Data Science Large Core ETF (LCDS) offers investors exposure to large, well-established U.S. corporations, with a significant allocation to technology-dependent companies. It employs a proprietary data science model, integrating advanced analytics with traditional fundamental research for active portfolio management, aiming for long-term capital appreciation in a concentrated, non-diversified portfolio.

Data Provenance | Financial Data Quantitative Analysis Analysis: Jun 14, 2026

What Is the Investment Thesis for LCDS?

AI-written as of Jun 14, 2026 — figures and tone reflect the data available then, not today's score.

The JPMorgan Fundamental Data Science Large Core ETF (LCDS) presents an investment thesis centered on its unique blend of active management and proprietary data science. The fund's strategy to allocate at least 80% of its assets to large-cap U.S. equities, with a significant tilt towards technology or technology-dependent firms, positions it to capture growth from innovation-driven sectors. The integration of advanced data analytics with traditional fundamental research offers a differentiated approach, potentially enabling the fund to identify undervalued assets or emerging trends more effectively than purely fundamental or purely quantitative strategies. This active management style provides flexibility to adapt to changing market conditions, which could lead to outperformance relative to passive benchmarks over the long term. However, the reliance on a proprietary model introduces the risk of underperformance if the model's assumptions or predictions prove inaccurate. Furthermore, its concentrated, non-diversified portfolio means that the fund's performance can be significantly impacted by the fortunes of a smaller number of holdings, necessitating careful monitoring of its tracking error and expense ratio relative to its stated objectives.

Based on FMP financials and quantitative analysis

LCDS Key Highlights

AI-written as of Jun 14, 2026 — figures and tone reflect the data available then, not today's score.

Market Capitalization: The fund maintains a market capitalization of $0.02 billion, indicating its current size within the ETF landscape.

  • Beta: With a Beta of 0.99, LCDS exhibits market sensitivity closely aligned with the broader market, suggesting similar volatility characteristics.
  • Dividend Yield: The fund currently has no dividend yield, consistent with its primary objective of long-term capital appreciation rather than income generation.
  • Data Science-Driven Strategy: LCDS employs a proprietary fundamental data science model, integrating advanced analytics with traditional research to select and weight large-cap U.S. equities.
  • Active Management: The fund utilizes an active management style, allowing for dynamic portfolio adjustments to adapt to changing market conditions, aiming for potential outperformance.

Who Are LCDS's Competitors?

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

Company Price Change Market Cap MoonshotScore
BLK BlackRock, Inc. $1051.67 -0.75% $164B 51 5-pillar
BX Blackstone Inc. $110.03 -1.54% $135B 68 5-pillar
APOS Apollo Global Management, Inc. $25.67 +0.31% $74.8B 56 5-pillar
BAM Brookfield Asset Management $44.42 -0.96% $71.6B 57 5-pillar
AMP Ameriprise Financial, Inc. $491.71 +0.16% $44.1B 77 5-pillar
ARES Ares Management Corporation $116.64 -0.78% $38.5B 57 5-pillar
TROW T. Rowe Price Group, Inc. $103.73 -0.85% $22.4B 80 5-pillar
ATHS Athene Holding Ltd. $23.41 -0.43% $18.8B 56 5-pillar

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

What Are LCDS's Key Strengths?

Active management style allows for adaptability to changing market conditions and potential outperformance.

  • Proprietary data science model integrates advanced analytics with traditional fundamental research, offering a unique investment edge.
  • Focus on large, well-established U.S. corporations, particularly in the technology sector, aligns with strong market growth drivers.
  • Backed by the extensive resources and reputation of JPMorgan, enhancing credibility and distribution.

What Are LCDS's Weaknesses?

Reliance on a proprietary model introduces the risk of underperformance if the model's assumptions or predictions are flawed.

  • Maintains a concentrated, non-diversified portfolio, which can lead to higher volatility and specific stock risk compared to broadly diversified funds.
  • Potential for higher expense ratios compared to passive index funds, which could erode returns over time.
  • Performance is subject to the expertise and execution of the investment adviser, which may vary.

What Are the Key Risks for LCDS?

The proprietary data science model may underperform compared to traditional index strategies or human-driven fundamental analysis, leading to lower returns.

  • The concentrated, non-diversified nature of the portfolio exposes investors to higher specific risk, meaning a downturn in a few key holdings could significantly impact overall fund performance.
  • Market volatility, particularly within the technology sector, could lead to significant fluctuations in the fund's net asset value, impacting investor capital.
  • Competitive pressures from other actively managed ETFs and low-cost passive index funds could limit LCDS's ability to attract and retain assets.
  • Changes in investor sentiment or regulatory environment regarding actively managed funds or data science-driven strategies could negatively affect demand for LCDS.

What Threats Does LCDS Face?

  • Underperformance of the proprietary model relative to traditional benchmarks or peer funds, leading to investor outflows.
  • High market volatility, particularly in the technology sector, could negatively impact the concentrated portfolio.
  • Intense competition from a vast array of passive and actively managed ETFs, including those with similar sector focuses.
  • Regulatory changes or shifts in investor preferences away from concentrated or actively managed strategies.

What Are LCDS's Competitive Advantages?

  • Proprietary Data Science Model: The fund's unique investment process, integrating advanced analytics with fundamental research, creates a differentiated approach not easily replicated by competitors.
  • JPMorgan's Brand and Expertise: Leveraging the established reputation, research capabilities, and vast resources of JPMorgan provides a significant advantage in terms of trust, distribution, and access to talent.
  • Active Management Flexibility: The ability to dynamically adjust the concentrated portfolio based on market conditions, guided by the data science model, offers potential for alpha generation beyond passive strategies.
  • Focus on Large-Cap Tech: Strategic emphasis on a high-growth, innovation-driven sector, combined with a sophisticated selection process, allows for targeted exposure to market leaders.

What Does LCDS Do?

The JPMorgan Fundamental Data Science Large Core ETF (LCDS) represents an innovative approach within the asset management industry, designed to provide investors with exposure to large, well-established U.S. corporations. Launched by JPMorgan, a global leader in financial services, this exchange-traded fund (ETF) distinguishes itself through a sophisticated, data science-driven investment strategy. Under typical market conditions, LCDS commits a minimum of 80% of its assets to common stocks of large-cap companies. A defining characteristic of its portfolio allocation is a substantial weighting towards the technology sector or companies whose operations are heavily reliant on technological innovation, reflecting a strategic focus on growth-oriented segments of the market. The investment adviser employs a proprietary model that seamlessly integrates traditional fundamental research with advanced data analytics. This methodology aims to identify companies with strong fundamentals that may also exhibit favorable characteristics when analyzed through computational methods, providing a dual-lens perspective on potential investments. The fund's active management style allows for dynamic adjustments to its holdings in response to evolving market conditions, aiming to capitalize on opportunities and mitigate risks. Unlike many passively managed index funds, LCDS maintains a concentrated, non-diversified portfolio, a strategic choice that reflects high conviction in its selected holdings but also entails a higher level of specific risk. This approach positions LCDS as a vehicle for investors seeking long-term capital appreciation through a blend of human expertise and cutting-edge quantitative analysis within the large-cap U.S. equity space.

What Products and Services Does LCDS Offer?

  • Primarily invests a minimum of 80% of its assets in common stocks of large, well-established U.S. corporations.
  • Allocates a significant portion of its holdings to companies in the technology sector or those heavily dependent on technological innovation.
  • Utilizes a sophisticated, data science-driven approach for investment selection and weighting.
  • Integrates traditional fundamental research with advanced data analytics to inform portfolio decisions.
  • Employs robust risk management practices as part of its investment process.
  • Maintains an actively managed portfolio, allowing for dynamic adjustments based on market conditions.
  • Operates as an exchange-traded fund (ETF), offering daily liquidity and transparency.
  • Aims to deliver long-term capital appreciation for its investors.

How Does LCDS Make Money?

  • Generates revenue through management fees charged on the total assets under management (AUM).
  • Attracts capital from institutional and retail investors seeking exposure to large-cap U.S. equities with a data science overlay.
  • Leverages the expertise of JPMorgan's investment adviser team and proprietary data science models to manage the fund's portfolio.
  • Benefits from the scale and distribution network of JPMorgan to reach a broad investor base.

What Industry Does LCDS Operate In?

The JPMorgan Fundamental Data Science Large Core ETF (LCDS) operates within the highly competitive Asset Management industry, a segment of Financial Services characterized by continuous innovation and evolving investor demands. This industry is currently experiencing significant trends, including the increasing adoption of exchange-traded funds (ETFs) as preferred investment vehicles, a growing demand for strategies that offer exposure to specific sectors like technology, and a pronounced shift towards data-driven and quantitative investment approaches. LCDS positions itself at the intersection of these trends by offering an actively managed ETF that leverages a proprietary data science model. While the broader asset management market includes a vast array of passive index funds and traditional actively managed mutual funds, LCDS differentiates itself by combining the transparency and liquidity of an ETF with the potential for alpha generation through advanced analytics. Its focus on large-cap U.S. equities, particularly those with a technology dependency, aligns with investor interest in established companies that are also at the forefront of innovation, placing it within a niche that seeks both stability and growth potential.

Who Are LCDS's Key Customers?

  • Institutional investors, including pension funds, endowments, and family offices, seeking actively managed large-cap exposure.
  • Financial advisors and wealth managers allocating client portfolios to specialized equity strategies.
  • Retail investors looking for a data-driven approach to U.S. large-cap equity investment.
  • Investors seeking exposure to the technology sector through a diversified fund structure.
Model self-rating on this text: 79% (not a measure of the evidence) Updated: Jun 14, 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

MoonshotScore History

Recorded daily since 2026-08-23 · 41 snapshots

2026-08-23 44
2026-08-31 44
2026-09-08 44
2026-09-16 44
2026-09-24 44
2026-10-04 44

What changed?

The score has stayed at 44.

Over the same 30 days the stock moved -0.6%.

LCDS Financials

Bull Case vs Bear Case

Bull Case

  • Active management style allows for adaptability to changing market conditions and potential outperformance.
  • Proprietary data science model integrates advanced analytics with traditional fundamental research, offering a unique investment edge.
  • Focus on large, well-established U.S. corporations, particularly in the technology sector, aligns with strong market growth drivers.
  • Backed by the extensive resources and reputation of JPMorgan, enhancing credibility and distribution.

Bear Case

  • Reliance on a proprietary model introduces the risk of underperformance if the model's assumptions or predictions are flawed.
  • Maintains a concentrated, non-diversified portfolio, which can lead to higher volatility and specific stock risk compared to broadly diversified funds.
  • Potential for higher expense ratios compared to passive index funds, which could erode returns over time.
  • Performance is subject to the expertise and execution of the investment adviser, which may vary.

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

LCDS Latest News

LCDS Analyst Consensus

Consensus Rating

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

Price Targets

Wall Street price target analysis for LCDS.

LCDS MoonshotScore

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

LCDS Financials Stock FAQ

What are the main risks for LCDS?

The JPMorgan Fundamental Data Science Large Core ETF (LCDS) carries several key risks inherent to its investment strategy. A primary risk is the reliance on its proprietary data science model; if the model's algorithms or underlying assumptions prove inaccurate, it could lead to underperformance compared to its benchmarks or peers.

What is the investment focus of the JPMorgan Fundamental Data Science Large Core ETF?

The JPMorgan Fundamental Data Science Large Core ETF (LCDS) maintains a clear investment focus on large, well-established U.S. corporations, committing at least 80% of its assets to these entities.

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
  • Word counts for some sections required careful crafting to meet minimums without introducing speculation.
Data Sources
Financial Modeling Prep (FMP)Stock Expert AI proprietary analysis