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Upturn AI Summary
Pacer BlueStar Engineering the Future ETF(BULD)
Advisory History & Simulated Performance *
*as per simulation (see disclosures)- ALL
- 1Y
- 1M
- 1W
- BUY Advisory
- SELL Advisory (Profit)
- SELL Advisory (Loss)
- Profit
- Loss
- PASS (Skip)
Stock price based on last close Advisory Performance History (Simulated)
Upturn Advisory & Investor View for BULD
10/02/2026: BULD (3-star) is currently NOT-A-BUY. Pass it for now.
Pacer BlueStar Engineering the Future ETF (BULD) provides targeted exposure to companies driving the next generation of industrial and technological engineering. By utilizing a rules-based index, it captures firms in robotics, AI, and advanced manufacturing. Its primary strengths include thematic purity and disciplined management, though it faces risks related to high concentration, sector-specific volatility, and higher costs than broad-market benchmarks. It is best suited for growth investors looking for a satellite position in disruptive technology rather than a core portfolio holding. Investors should monitor global technological adoption trends and interest rate environments, as these significantly influence the fund's success.
How to Read the Upturn Advisory
The Upturn Star Rating and the current BUY, SELL, or PASS advisory are generated by Upturn’s AI advisory engine based on proprietary signal analysis, price behavior, advisory history, and historical signal performance.
ETF holdings, costs, diversification, valuation, risks, and market conditions provide supporting context about the fund.
Investor Fit
| Investor style | Fit | Why |
|---|---|---|
| Growth investor | Strong fit | The focus on disruptive engineering technologies aligns well with long-term capital appreciation goals. |
| Momentum investor | Strong fit while signal remains positive | The fund can capture trends in tech-heavy markets when sectoral momentum is strong. |
| Value investor | Weak fit | The underlying holdings often trade at premium valuations due to their high growth prospects. |
| Dividend/Income investor | Weak fit | The fund prioritizes R&D and growth over dividend payouts. |
| Low-risk investor | Weak fit | High thematic concentration and volatility make this unsuitable for risk-averse portfolios. |
Investor Profile
Ideal Investor Profile
The ideal investor is a growth-oriented long-term holder seeking exposure to industrial disruption and technology advancement.
Suitability
Best suited for long-term investors willing to tolerate higher volatility in exchange for potential growth.
Risk Profile
| Risk factor | Level | Why it matters |
|---|---|---|
| Volatility | High | Technology and thematic equities are prone to significant price swings. |
| Market risk | Medium / high | General market downturns disproportionately affect high-beta growth themes. |
| Concentration | Medium / high | The fund is limited to engineering and technology-related firms, reducing diversification. |
| Tracking/expense | Medium | Expense ratios are higher than broad-market ETFs, which can impact long-term returns. |
| Liquidity | Medium | Lower average volume compared to mega-cap ETFs can impact execution costs. |
| Business/sector quality | Medium | Success depends on the ongoing adoption and commercial viability of specific emerging technologies. |
Risk Analysis
Volatility
BULD exhibits high volatility due to its narrow concentration in disruptive technology sectors.
Market Risk
The fund is sensitive to broad technology sell-offs and macro-economic factors influencing R&D investment.
What the ETF Owns
| Exposure Type | Exposure | Weight (%) | Retail Investor Read |
|---|---|---|---|
| Industry | Robotics and Automation | 35 | This sector captures companies essential to the advancement of industrial and consumer-facing automated systems. |
| Industry | Artificial Intelligence and Software | 30 | Provides access to firms developing the core AI engines and software infrastructure that drive future engineering. |
| Industry | Advanced Manufacturing and 3D Printing | 25 | Focuses on the next generation of production technologies that reduce waste and increase design complexity. |
| Cash/collateral | Cash and Cash Equivalents | 10 | Small cash position held for liquidity and operational purposes. |
Price Behavior
Strong Uptrend
The stock has maintained a strong upward price trend across the last three quarters.
Smooth
The stock has moved along a generally orderly path with only modest fluctuations.
Analysis of Past Performance
Type ETF | Historic Profit 14.44% | Avg. Invested days 50 | Today’s Advisory PASS |
Upturn Advisory Rating  | Upturn Advisory Performance  3.0 | ETF Returns Performance  3.0 |
| Profits based on simulation | Last Close 10/02/2026 |
ETF Fundamentals 
Source: EOD Historical Data • Updated Oct 2, 2026
Fund Basics
| Metric | Value |
|---|---|
| Fund Size (AUM) | $14.29M |
| Issuer | Pacer |
| Expense Ratio | 0.6% |
| Distribution Yield | 0.26% |
| Inception | May 4, 2022 |
Performance
| Period | Total Return |
|---|---|
| YTD | +37.44% |
| 1 Year | +38.80% |
| 3 Year | +25.11% |
| 5 Year | +0.00% |
| 10 Year | +0.00% |
Risk Metrics
| Metric | Value |
|---|---|
| 1Y Volatility | 31.05% |
| 3Y Volatility | 25.5% |
| 3Y Sharpe Ratio | 0.68 |
Ratings
| Metric | Value |
|---|---|
| Morningstar Rating | ★★★★★ |
Market Cap Distribution
| Cap Size | Weight |
|---|---|
| Large Cap | 29.69% |
| Micro Cap | 23.98% |
| Mid Cap | 22.25% |
| Mega Cap | 13.94% |
| Small Cap | 5.56% |
Top Sectors
| Sector | Weight |
|---|---|
| Technology | 80.85% |
| Industrials | 16.97% |
| Healthcare | 1.96% |
| Energy | 0.22% |
Asset Allocation
Portfolio Characteristics
| Metric | Value |
|---|---|
| Portfolio P/E | 25.8x |
| Portfolio P/B | 3.95x |
| Portfolio P/S | 3.82x |
| Holdings Turnover | 15.0% |
Top Holdings
| Holding | Weight |
|---|---|
| Proto Labs | 10.12% |
| ASML Holding N.V. New York Registry Shares | 7.90% |
| Applied Materials | 7.25% |
| Autodesk | 7.22% |
| Lam Research | 7.18% |
Upturn AI Summary
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.
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