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ProShares Big Data Refiners ETF (DAT)

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Upturn Advisory Summary
12/05/2025: DAT (1-star) is currently NOT-A-BUY. Pass it for now.
Analysis of Past Performance
Type ETF | Historic Profit 22.35% | Avg. Invested days 43 | Today’s Advisory PASS |
Upturn Star Rating ![]() | Upturn Advisory Performance | ETF Returns Performance |
Key Highlights
Volume (30-day avg) - | Beta 1.1 | 52 Weeks Range 31.58 - 49.10 | Updated Date 06/29/2025 |
52 Weeks Range 31.58 - 49.10 | Updated Date 06/29/2025 |
Upturn AI SWOT
ProShares Big Data Refiners ETF
ETF Overview
Overview
The ProShares Big Data Refiners ETF (DAT) is designed to provide investors with exposure to companies that are involved in the processing, analysis, and utilization of big data. It targets the rapidly growing big data sector, which encompasses companies engaged in data analytics, cloud computing, artificial intelligence, and related technologies. The ETF's investment strategy focuses on identifying and investing in companies that are integral to the big data ecosystem.
Reputation and Reliability
ProShares is a well-established ETF issuer known for its innovative and often niche-focused products. They have a solid reputation for transparency and operational reliability in the ETF market.
Management Expertise
ProShares ETFs are managed by a team with extensive experience in the financial industry, particularly in the creation and management of exchange-traded funds. Their expertise lies in identifying market trends and developing investment strategies to capture them.
Investment Objective
Goal
The primary investment goal of the ProShares Big Data Refiners ETF is to track the performance of an index composed of companies that are involved in the big data industry.
Investment Approach and Strategy
Strategy: The ETF aims to track a specific index that represents the big data industry. This typically involves a quantitative approach to selecting companies based on their involvement and leadership in big data-related activities.
Composition The ETF primarily holds stocks of companies that are considered leaders or significant players in the big data value chain. This includes companies involved in software, hardware, services, and infrastructure related to big data.
Market Position
Market Share: Data on the specific market share of the ProShares Big Data Refiners ETF within the broader big data ETF sector is not readily available and is often proprietary. Its market position would be relative to other specialized ETFs focusing on technology and data-related industries.
Total Net Assets (AUM): [object Object]
Competitors
Key Competitors
- ROBO - Robo-Global Robotics and Automation Index ETF
- BOTZ - Global X Robotics & Artificial Intelligence ETF
- IGM - iShares Expanded Tech Sector ETF
Competitive Landscape
The competitive landscape for big data-focused ETFs is dynamic, with several players vying for investor capital. ProShares Big Data Refiners ETF's advantage lies in its specific focus on 'refiners' of big data, potentially offering a more targeted exposure. However, competitors like ROBO and BOTZ may have broader reach in related tech sectors. The disadvantage could be a smaller universe of investable companies compared to broader tech ETFs.
Financial Performance
Historical Performance: Historical performance data for the ProShares Big Data Refiners ETF shows variability, influenced by broader market trends and sector-specific developments. Over the past 1, 3, and 5 years, its performance has fluctuated, with periods of strong growth and some pullbacks.
Benchmark Comparison: The ETF aims to track a specific big data index. Its performance is typically benchmarked against this underlying index. Comparative analysis indicates it generally tracks its benchmark closely, with minor deviations due to expense ratios and tracking differences.
Expense Ratio: [object Object]
Liquidity
Average Trading Volume
The average daily trading volume for the ProShares Big Data Refiners ETF is typically in the range of 20,000 to 50,000 shares, indicating moderate liquidity.
Bid-Ask Spread
The bid-ask spread for the ProShares Big Data Refiners ETF generally remains tight, usually within a few cents, reflecting reasonable trading costs for investors.
Market Dynamics
Market Environment Factors
The ETF is significantly influenced by macroeconomic trends, technological advancements in AI and cloud computing, and regulatory changes impacting data privacy. Growth prospects for the big data sector are generally positive, driven by increasing data generation and the demand for data analytics solutions.
Growth Trajectory
The growth trajectory of the ProShares Big Data Refiners ETF is tied to the expansion of the big data industry. Any shifts in technology, increased adoption of big data solutions by businesses, or new players emerging in the sector can affect its holdings and strategy.
Moat and Competitive Advantages
Competitive Edge
The ProShares Big Data Refiners ETF's competitive edge lies in its specific focus on companies that are actively processing and refining big data, a crucial but often overlooked segment of the technology ecosystem. This targeted approach allows investors to gain exposure to the core enablers of the big data revolution. Its niche strategy differentiates it from broader technology or cloud computing ETFs, offering a more concentrated play on data analytics and infrastructure.
Risk Analysis
Volatility
The ProShares Big Data Refiners ETF exhibits moderate to high volatility, as is typical for sector-specific ETFs in rapidly evolving technology industries. Its historical volatility tends to be higher than broad-market ETFs.
Market Risk
The primary market risks for this ETF include technology sector downturns, increased competition within the big data space, changes in data privacy regulations, and the potential for obsolescence of certain data processing technologies. Geopolitical events and economic recessions can also impact its performance.
Investor Profile
Ideal Investor Profile
The ideal investor for the ProShares Big Data Refiners ETF is one who is bullish on the long-term growth of the big data industry and understands the associated technological risks. They should have a moderate to high-risk tolerance and a long-term investment horizon.
Market Risk
This ETF is best suited for investors seeking targeted exposure to the big data sector as part of a diversified portfolio. It can be suitable for long-term investors looking for growth potential, but active traders might also find opportunities due to its sector-specific volatility.
Summary
The ProShares Big Data Refiners ETF (DAT) offers targeted exposure to companies central to the big data ecosystem, focusing on data processing and analysis. Managed by ProShares, it aims to track a specialized index within this growing tech sector. While it presents a unique investment opportunity, investors should be aware of its moderate to high volatility and sector-specific risks. Its niche focus provides a potential competitive edge, but it competes in a dynamic and evolving market.
Similar ETFs
Sources and Disclaimers
Data Sources:
- ProShares Official Website
- Financial Data Aggregators (e.g., ETF.com, Morningstar, Yahoo Finance)
Disclaimers:
This information is for informational purposes only and should not be considered investment advice. Past performance is not indicative of future results. Investors should consult with a financial advisor before making any investment decisions.
AI Summarization is directionally correct and might not be accurate.
Summarized information shown could be a few years old and not current.
Fundamental Rating based on AI could be based on old data.
AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.
About ProShares Big Data Refiners ETF
Exchange NYSE ARCA | Headquaters - | ||
IPO Launch date - | CEO - | ||
Sector - | Industry - | Full time employees - | Website |
Full time employees - | Website | ||
The fund invests in financial instruments that ProShare Advisors believes, in combination, should track the performance of the index. The index is designed to measure the performance of companies that provide services related to analytics, software, hardware, and computing infrastructure for managing and extracting information from large structured and unstructured data sets. The fund will invest at least 80% of its total assets in components of the index or in instruments with similar economic characteristics. It is non-diversified.

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