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Tema S&P 500 Historical Weight ETF Strategy (DSPY) Fund Overview

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

$66.77 +$0.3981 (+0.60%)
Vol: 14.1K|

Beta 0.85: the stock has moved about 15% 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-2.5-flash, generated Jun 15, 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

Tema S&P 500 Historical Weight ETF Strategy (DSPY) trades at $66.77. The Tema S&P 500 Historical Weight ETF Strategy (DSPY) is an exchange-traded fund that replicates the S&P 500 index using a systematic, rule-driven framework. Sector: Financials.

Price as of · Last analyzed: Jun 15, 2026
The Tema S&P 500 Historical Weight ETF Strategy (DSPY) is an exchange-traded fund that replicates the S&P 500 index using a systematic, rule-driven framework. Its unique methodology allocates portfolio weights based on the past ranking and influence of individual constituents, aiming to mitigate over-concentration in any single company.

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

Tema S&P 500 Historical Weight ETF Strategy (DSPY) Financial Services Profile

HeadquartersNew York, US
IPO Year2025

DSPY is an exchange-traded fund in the Asset Management sector, employing a systematic, rule-driven strategy to replicate the S&P 500 index. It differentiates itself by allocating portfolio weights based on historical constituent influence, aiming to mitigate single-company over-concentration within the benchmark.

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

What Is the Investment Thesis for DSPY?

AI-written as of Jun 15, 2026 — figures and tone reflect the data available then, not today's score.

DSPY presents an investment thesis centered on its unique, rules-based approach to S&P 500 index replication, aiming to mitigate over-concentration and potentially capture momentum effects through historical weighting. With a market capitalization of $0.89 billion and a Beta of 0.85, the fund offers a lower volatility profile compared to the broader market. Its systematic framework provides transparency in investment decisions, which can be appealing to investors seeking clarity in their portfolio allocations. However, the fund's reliance on historical data for weighting could lead to underperformance if future market conditions diverge significantly from past trends. Investors should closely monitor DSPY's tracking error relative to the standard S&P 500 and assess its performance across various market cycles to evaluate the efficacy of its historical weighting strategy. The absence of a dividend yield indicates a focus on capital appreciation through its unique index replication.

Based on FMP financials and quantitative analysis

DSPY Key Highlights

AI-written as of Jun 15, 2026 — figures and tone reflect the data available then, not today's score.

Market Capitalization of $0.89 billion, reflecting the fund's current Assets Under Management (AUM).

  • Beta of 0.85, indicating lower volatility relative to the broader market.
  • Utilizes a systematic, rule-driven framework for S&P 500 index replication.
  • Employs a unique historical weighting methodology to mitigate over-concentration in single companies.
  • Does not distribute dividends, focusing on capital appreciation through its investment strategy.

Who Are DSPY's Competitors?

DSPY is benchmarked below against 3 industry peers on price, market cap, and our AI MoonshotScore.

Company Price Change Market Cap MoonshotScore
APO Apollo Global Management, Inc. $115.35 +1.17% $66.4B 55 5-pillar
ALTI AlTi Global, Inc. $2.95 +1.37% $427M —
GROW U.S. Global Investors, Inc. $2.90 +1.40% $37.3M 57 5-pillar

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

What Are DSPY's Key Strengths?

Systematic, rule-driven framework provides transparency and consistency in investment decisions.

  • Unique historical weighting methodology aims to mitigate over-concentration in single companies.
  • Potential to capture momentum effects within the S&P 500 index.
  • Lower Beta of 0.85 suggests potentially lower volatility compared to the broader market.

What Are DSPY's Weaknesses?

Reliance on historical data could lead to underperformance if market conditions shift significantly from past trends.

  • Potential for tracking error relative to the standard S&P 500 index.
  • Fund's unique strategy may require investor education to fully understand its benefits and risks.
  • Relatively small market capitalization ($0.89B) compared to established S&P 500 ETFs.

What Are the Key Risks for DSPY?

Underperformance relative to the standard S&P 500 index if the historical weighting methodology fails to adapt to new market paradigms.

  • Tracking error risk, where the fund's performance may deviate from its intended S&P 500 historical weight strategy due to various factors.
  • Shifts in market conditions that diminish the efficacy of historical data-driven strategies, leading to sustained periods of underperformance.
  • Intense competition within the S&P 500 ETF market, potentially limiting asset gathering despite its differentiated approach.
  • Regulatory changes impacting the structure or operation of exchange-traded funds, which could affect DSPY's business model.

What Threats Does DSPY Face?

  • Intense competition from numerous established S&P 500 ETFs offered by large asset managers.
  • Underperformance relative to the standard S&P 500 over extended periods could deter investors.
  • Regulatory changes impacting ETF structure or investment methodologies.
  • Shifts in investor sentiment away from rules-based or historical data-driven strategies.

What Are DSPY's Competitive Advantages?

  • Proprietary historical weighting methodology, offering a unique approach to S&P 500 replication.
  • Rules-based and systematic investment framework providing transparency and consistency.
  • Explicit objective to mitigate over-concentration, differentiating it from traditional S&P 500 ETFs.
  • Potential to capture specific momentum effects through its historical data-driven weighting.

What Does DSPY Do?

The Tema S&P 500 Historical Weight ETF Strategy (DSPY) operates within the global asset management industry, offering investors a distinctive approach to S&P 500 index exposure. Established to address the inherent concentration risks often associated with traditional market-capitalization-weighted indices, DSPY employs a systematic and entirely rule-driven framework. This methodology is designed to replicate the performance of the S&P 500, but with a critical deviation: the allocation of portfolio weights is derived from the past ranking and historical influence of individual constituents within the S&P 500 index, rather than their current market capitalization. This historical weighting approach seeks to capture potential momentum effects and provide a more diversified exposure to the underlying index components. The fund's strategy is transparent, with investment decisions guided by predefined rules, offering clarity to investors regarding its portfolio construction. By mitigating over-concentration in any single company, DSPY aims to offer a potentially less volatile or differently performing alternative to standard S&P 500 tracking funds. Its headquarters are located in New York, US, positioning it within a major global financial hub. The fund caters to institutional and retail investors seeking a rules-based, historically-informed strategy for broad U.S. large-cap equity exposure.

What Products and Services Does DSPY Offer?

  • Replicates the S&P 500 index using a systematic, rule-driven investment framework.
  • Allocates portfolio weights based on the past ranking and influence of individual S&P 500 constituents.
  • Aims to mitigate over-concentration in any single company within the S&P 500 index.
  • Offers investors exposure to the S&P 500 with a unique historical weighting methodology.
  • Provides a transparent investment strategy guided by predefined rules.
  • Operates as an exchange-traded fund (ETF) within the global asset management sector.

How Does DSPY Make Money?

  • Generates revenue primarily through management fees charged as a percentage of assets under management (AUM).
  • Manages a portfolio of S&P 500 constituent stocks according to its historical weighting rules.
  • Provides an investment product that can be traded on an exchange, offering liquidity to investors.
  • Aims to attract and retain investor capital by offering a differentiated S&P 500 exposure.

What Industry Does DSPY Operate In?

DSPY operates within the highly competitive global asset management industry, specifically targeting the exchange-traded fund (ETF) segment. This sector is characterized by increasing investor demand for passive, rules-based investment vehicles that offer transparency and cost-efficiency. The broader ETF market has experienced significant growth, with global assets under management consistently expanding as investors shift from active management to indexed strategies. DSPY differentiates itself from traditional market-capitalization-weighted S&P 500 ETFs by employing a historical weighting methodology, aiming to mitigate concentration risk inherent in standard indices. This positions DSPY within a niche of 'smart beta' or alternative weighting ETFs, which seek to capture specific risk premia or achieve different return profiles than conventional benchmarks. The competitive landscape includes large asset managers offering a wide array of S&P 500 tracking products, necessitating DSPY to clearly articulate the benefits of its unique historical weighting approach.

Who Are DSPY's Key Customers?

  • Institutional investors, including pension funds, endowments, and asset managers, seeking diversified S&P 500 exposure.
  • Financial advisors and wealth managers incorporating rules-based ETFs into client portfolios.
  • Retail investors looking for a systematic and transparent way to invest in large-cap U.S. equities.
  • Investors interested in mitigating concentration risk within standard market-cap-weighted indices.
Model self-rating on this text: 69% (not a measure of the evidence) Updated: Jun 15, 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 -1.3%.

DSPY Financials

Bull Case vs Bear Case

Bull Case

  • Systematic, rule-driven framework provides transparency and consistency in investment decisions.
  • Unique historical weighting methodology aims to mitigate over-concentration in single companies.
  • Potential to capture momentum effects within the S&P 500 index.
  • Lower Beta of 0.85 suggests potentially lower volatility compared to the broader market.

Bear Case

  • Reliance on historical data could lead to underperformance if market conditions shift significantly from past trends.
  • Potential for tracking error relative to the standard S&P 500 index.
  • Fund's unique strategy may require investor education to fully understand its benefits and risks.
  • Relatively small market capitalization ($0.89B) compared to established S&P 500 ETFs.

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

DSPY Latest News

DSPY Analyst Consensus

Consensus Rating

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

Price Targets

Wall Street price target analysis for DSPY.

DSPY MoonshotScore

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

Common Questions About DSPY (Financials)

What does Tema S&P 500 Historical Weight ETF Strategy do?

The Tema S&P 500 Historical Weight ETF Strategy (DSPY) is an exchange-traded fund designed to replicate the performance of the S&P 500 index.

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 count requirements for several sections (companyDescription, investmentThesis, industryContext, growthOpportunities, FAQ answers) were challenging given the limited source data for an ETF. Inferences were made based on the nature of ETFs and asset management, strictly adhering to the provided facts about DSPY's strategy.
Data Sources
Financial Modeling Prep (FMP)Stock Expert AI proprietary analysis