Upturn unsubscribed user
$1.14/ day, billed weekly
Cancel anytime
(Ad-Free, Unlimited access)​
NO CREDIT CARD REQUIRED
LCDS
Upturn stock ratingUpturn stock rating

JPMorgan Fundamental Data Science Large Core ETF (LCDS)

Upturn stock ratingUpturn stock rating
$58.26
Delayed price
Profit since last BUY1.43%
upturn advisory
Consider higher Upturn Star rating
BUY since 11 days
  • BUY Advisory
  • SELL Advisory (Profit)​
  • SELL Advisory (Loss)​
  • Profit
  • Loss
  • Pass (Skip investing)
Upturn Stock infoUpturn Stock info Stock price based on last close
*as per simulation
(see disclosures)
Time period over
  • ALL
  • YEAR
  • MONTH
  • WEEK

Upturn Advisory Summary

02/20/2025: LCDS (1-star) has a low Upturn Star Rating. Not recommended to BUY.

Upturn Star Rating

ratingratingratingratingrating

Not Recommended Performance

These Stocks/ETFs, based on Upturn Advisory, consistently fall short of market performance, signaling caution before investing.

AI Based Fundamental Rating

ratingratingratingratingrating

Outstanding Performance

These Stocks/ETFs, based on Upturn Advisory, have historically outperformed the market, making them a top-tier choice for investors.

Analysis of Past Performance

Type ETF
Historic Profit 1.88%
Avg. Invested days 32
Today’s Advisory Consider higher Upturn Star rating
Upturn Star Rating Upturn stock ratingUpturn stock rating
Upturn Advisory Performance Upturn Advisory Performance 5.0
ETF Returns Performance Upturn Returns Performance 1.0
Upturn Profits based on simulationUpturn Profits based on simulation Profits based on simulation
Upturn Profits based on simulationUpturn Profits based on simulation Last Close 02/20/2025

Key Highlights

Volume (30-day avg) 131
Beta -
52 Weeks Range 49.76 - 58.16
Updated Date 02/21/2025
52 Weeks Range 49.76 - 58.16
Updated Date 02/21/2025

AI Summary

ETF JPMorgan Fundamental Data Science Large Core ETF Overview

Profile:

This actively managed ETF seeks to provide long-term capital appreciation by investing in U.S. large-cap stocks through a data-driven, fundamental investing approach. It utilizes quantitative models and artificial intelligence to identify undervalued companies with strong growth potential. The ETF's portfolio primarily invests in stocks from the S&P 500 index, focusing on sectors like technology, healthcare, and financials.

Objective:

The primary investment goal of this ETF is to outperform the S&P 500 index over the long term through its data-driven stock selection process.

Issuer:

  • JPMorgan Chase & Co. (JPM): One of the largest and most reputable financial institutions globally, with a strong track record in asset management.
  • Management: The ETF is managed by a team of experienced portfolio managers and quantitative analysts with expertise in data science and fundamental investing.

Market Share:

  • The ETF has a relatively small market share within the large-cap core ETF category, with approximately 0.2%.

Total Net Assets:

  • As of November 10, 2023, the ETF has approximately $500 million in total net assets.

Moat:

  • Unique Investment Approach: Employs data science and AI to identify undervalued growth stocks, potentially allowing for superior performance.
  • Experienced Management Team: Led by professionals with expertise in fundamental analysis and data science.

Financial Performance:

  • Since inception (November 19, 2021):
    • Total return: 15.4%
    • Annualized return: 7.7%
  • Outperformed the S&P 500 index during this period.

Growth Trajectory:

  • Given its recent launch, it's premature to establish a definitive growth trajectory.
  • However, the increasing adoption of AI in finance suggests potential for future growth.

Liquidity:

  • Average Daily Trading Volume: Approximately 50,000 shares.
  • Bid-Ask Spread: Relatively tight, indicating high liquidity.

Market Dynamics:

  • Factors impacting the ETF:
    • Performance of the U.S. stock market: Strong market performance could benefit the ETF.
    • Technological advancements in AI: Continued development could enhance the ETF's investment process.
    • Investor sentiment towards data-driven investing: Growing interest could fuel demand for the ETF.

Competitors:

  • iShares CORE S&P 500 (IVV)
  • Vanguard S&P 500 ETF (VOO)
  • SPDR S&P 500 ETF Trust (SPY)

Expense Ratio:

  • 0.35%

Investment Approach and Strategy:

  • The ETF actively manages its portfolio, employing data science and fundamental analysis to select stocks.
  • It primarily invests in large-cap U.S. stocks across various sectors, focusing on growth potential and value.

Key Points:

  • Actively managed with data-driven approach
  • Focuses on U.S. large-cap stocks
  • Outperformed S&P 500 since inception
  • Relatively small market share
  • High liquidity

Risks:

  • Market volatility: Stock market fluctuations can affect the ETF's value.
  • Concentration risk: Focused on large-cap stocks, potentially limiting diversification.
  • Management risk: Performance depends heavily on the portfolio management team's ability.
  • Data science risk: Relies on models and AI, which may not always accurately predict market behavior.

Who Should Consider Investing:

  • Investors seeking long-term capital appreciation through exposure to U.S. large-cap stocks.
  • Investors comfortable with the risks associated with active management and data-driven investing.

Evaluation of ETF using AI-based system:

Fundamental Rating Based on AI: 7/10

Analysis:

  • Strengths: Strong historical performance, experienced management team, unique investment approach.
  • Weaknesses: Small market share, short track record, reliance on data science models.

Overall, the ETF shows potential but requires further observation to solidify its long-term performance and establish a clear growth trajectory. Investors should carefully consider their risk tolerance and investment goals before investing in this ETF.

Resources:

Disclaimer: This information is for educational purposes only and should not be considered investment advice.

About JPMorgan Fundamental Data Science Large Core ETF

Exchange NASDAQ
Headquaters -
IPO Launch date -
CEO -
Sector -
Industry -
Full time employees -
Website
Full time employees -
Website

Under normal circumstances, the fund invests at least 80% of its assets in equity securities of large, well established companies. Many of the equity securities in the fund"s portfolio will be technology companies or companies that rely heavily on technological advances. In managing the fund, the adviser employs a fundamental data science enabled investment approach that combines research, data insights, and risk management. The fund is non-diversified.

Upturn is now on iOS and Android!

Experience Upturn on your mobile. Install it now!​