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SCDS
Upturn stock rating

JPMorgan Fundamental Data Science Small Core ETF (SCDS)

Upturn stock rating
$59.96
Last Close (24-hour delay)
Profit since last BUY15.02%
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BUY since 115 days
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Upturn Advisory Summary

10/24/2025: SCDS (1-star) has a low Upturn Star Rating. Not recommended to BUY.

Upturn Star Rating

rating

Not Recommended Performance

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

Analysis of Past Performance

Type ETF
Historic Profit 17.32%
Avg. Invested days 88
Today’s Advisory Consider higher Upturn Star rating
Upturn Star Rating upturn star rating icon
Upturn Advisory Performance Upturn Advisory Performance 5.0
ETF Returns Performance Upturn Returns Performance 3.0
Upturn Profits based on simulation Profits based on simulation
Upturn Profits based on simulation Last Close 10/24/2025

Key Highlights

Volume (30-day avg) -
Beta -
52 Weeks Range 43.67 - 59.78
Updated Date 06/28/2025
52 Weeks Range 43.67 - 59.78
Updated Date 06/28/2025

ai summary icon Upturn AI SWOT

JPMorgan Fundamental Data Science Small Core ETF

stock logo

ETF Overview

overview logo Overview

The JPMorgan Fundamental Data Science Small Core ETF (JPSM) seeks to provide investment results that closely correspond to the performance of the JPMorgan Fundamental Data Science Small Cap Index. It uses a data science-driven approach to select and weight small-cap stocks based on fundamental factors.

reliability logo Reputation and Reliability

JPMorgan is a well-established and reputable financial institution with extensive experience in asset management.

reliability logo Management Expertise

JPMorgan has a dedicated team of investment professionals and data scientists managing the ETF, leveraging their expertise in fundamental analysis and quantitative techniques.

Investment Objective

overview logo Goal

The primary investment goal of JPSM is to provide investment results that closely correspond to the performance of the JPMorgan Fundamental Data Science Small Cap Index.

Investment Approach and Strategy

Strategy: JPSM aims to track the JPMorgan Fundamental Data Science Small Cap Index, which employs a data science-driven approach to stock selection and weighting.

Composition JPSM holds a diversified portfolio of small-cap stocks selected and weighted based on fundamental factors identified through data science techniques.

Market Position

Market Share: Market share information for JPSM specifically is limited; this is a niche ETF within the broader small-cap category.

Total Net Assets (AUM): 35750000

Competitors

overview logo Key Competitors

  • IWM
  • VBR
  • SMLV

Competitive Landscape

The small-cap ETF market is highly competitive, with established players like IWM and VBR dominating market share. JPSM differentiates itself with its data science-driven approach, but faces challenges in gaining significant market share due to its relatively smaller AUM and newer status. Its data driven approach may provide an advantage, but requires consistent outperformance to attract investors.

Financial Performance

Historical Performance: Historical performance data is needed to review ETFu2019s performance over different time periods.

Benchmark Comparison: A comparison to the JPMorgan Fundamental Data Science Small Cap Index is needed to gauge the ETFu2019s effectiveness.

Expense Ratio: 0.29

Liquidity

Average Trading Volume

JPSM's average trading volume is relatively low, indicating moderate liquidity.

Bid-Ask Spread

The bid-ask spread of JPSM is moderate, reflecting its liquidity and demand.

Market Dynamics

Market Environment Factors

Economic indicators, small-cap market performance, and investor sentiment towards data-driven investment strategies affect JPSM. Market volatility and interest rate changes may also influence its performance.

Growth Trajectory

JPSM's growth trajectory depends on its ability to attract investors seeking a differentiated approach to small-cap investing. Changes in its investment strategy or holdings are driven by the data science model's recommendations.

Moat and Competitive Advantages

Competitive Edge

JPSM's competitive edge lies in its unique, data science-driven approach to small-cap stock selection. By leveraging advanced algorithms and data analysis, the ETF aims to identify undervalued companies with strong growth potential. This quantitative methodology distinguishes it from traditional fundamental analysis-based ETFs. The active management and stock selection based on the model is intended to give it an edge compared to passive index tracking funds. However, the benefits depend on consistently outperforming peers after fees.

Risk Analysis

Volatility

JPSM's historical volatility is expected to be similar to that of other small-cap ETFs, potentially higher than broader market ETFs.

Market Risk

JPSM is subject to the risks associated with small-cap investing, including higher volatility and sensitivity to economic cycles. Additionally, the data science model may not always accurately predict future performance.

Investor Profile

Ideal Investor Profile

The ideal investor for JPSM is one seeking exposure to small-cap stocks with a data-driven approach, willing to accept moderate volatility, and has a long-term investment horizon.

Market Risk

JPSM is suitable for long-term investors seeking capital appreciation through exposure to small-cap equities, but is not ideal for active traders due to lower liquidity.

Summary

The JPMorgan Fundamental Data Science Small Core ETF (JPSM) offers a differentiated approach to small-cap investing through its data science-driven stock selection. It targets long-term capital appreciation by tracking the JPMorgan Fundamental Data Science Small Cap Index. While it competes with established small-cap ETFs, its unique methodology could appeal to investors seeking quantitative strategies. Investors should consider its moderate liquidity, expense ratio, and inherent risks associated with small-cap investments. Further tracking the ETF's performance is necessary to assess its long-term effectiveness.

Peer Comparison

Sources and Disclaimers

Data Sources:

  • JPMorgan Asset Management
  • ETF.com
  • Bloomberg
  • Morningstar

Disclaimers:

The data provided is for informational purposes only and should not be considered investment advice. Market conditions and performance are subject to change.

Upturn AI Summarization AI Summarization is directionally correct and might not be accurate.

Upturn AI Summarization Summarized information shown could be a few years old and not current.

Upturn AI Summarization Fundamental Rating based on AI could be based on old data.

Upturn AI Summarization AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.

About JPMorgan Fundamental Data Science Small 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 small cap companies. Many of the equity securities in the fund's portfolio are securities of companies in the financials, industrials and healthcare sectors. In managing the fund, the adviser employs a fundamental data science enabled investment approach that combines research, data insights, and risk management.