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Burney U.S. Factor Rotation ETF(BRNY)
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)
Advisory Performance History (Simulated)
Upturn Advisory & Investor View for BRNY
10/02/2026: BRNY (2-star) is currently NOT-A-BUY. Pass it for now.
The Burney U.S. Factor Rotation ETF (BRNY) is an actively managed fund that provides exposure to U.S. equities by rotating through various investment factors based on quantitative research. Its main strengths lie in its ability to adapt to changing market environments, offering a sophisticated alternative to static, index-based factor funds. The primary use case is as a tactical core or satellite holding for investors seeking to capture style premiums while delegating selection to professional managers. Key risks include its active management expenses, potential for style-model underperformance, and lower relative liquidity compared to large passive competitors. It is best suited for investors who value systematic style management and are prepared for the volatility associated with concentrated factor exposure.
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 | Mixed fit | The fund may tilt toward growth when the model signals its outperformance, but it is not a dedicated growth vehicle. |
| Momentum investor | Strong fit while signal remains positive | As a factor-rotation strategy, the fund is well-suited for momentum-driven cycles when the manager's models align. |
| Value investor | Mixed fit | The fund rotates into value when conditions are favorable, but does not maintain a permanent value exposure. |
| Dividend/Income investor | Weak fit | The primary objective is capital appreciation rather than consistent dividend income generation. |
| Low-risk investor | Weak fit | Active factor rotation involves inherent market risk and potential for volatility that may exceed conservative risk thresholds. |
Investor Profile
Ideal Investor Profile
The ideal investor is an individual comfortable with active management who wants factor-driven exposure without the need to manually monitor and rotate between styles themselves.
Suitability
BRNY is best suited for long-term investors who believe in the efficacy of factor investing and prefer a dynamic, manager-led approach to equity style allocation.
Risk Profile
| Risk factor | Level | Why it matters |
|---|---|---|
| Volatility | Medium / high | Factor-based strategies can experience concentrated volatility when selected factors fall out of favor. |
| Market risk | High | As a U.S. equity fund, the ETF is highly susceptible to broad market downturns. |
| Concentration | Medium | Rotation strategies may result in temporary portfolio concentration in specific sectors or styles. |
| Tracking/expense | Medium | Active management entails higher expense ratios compared to passive index funds. |
| Liquidity | Medium | Lower trading volume may lead to higher execution costs for retail investors. |
| Business/sector quality | Medium | The strategy depends on the effectiveness of the manager's proprietary models to identify high-quality assets. |
Risk Analysis
Volatility
BRNY exhibits volatility characteristic of its active factor tilts, which may occasionally spike during rapid style rotations.
Market Risk
The fund is fully invested in U.S. equities, meaning it remains subject to the systemic risks of the domestic stock market.
What the ETF Owns
| Exposure Type | Exposure | Weight (%) | Retail Investor Read |
|---|---|---|---|
| Investment factor | U.S. Equity Factor Basket | 95 | The portfolio is comprised of U.S. stocks selected based on proprietary factor models designed to capture market premiums. |
| Cash/collateral | Cash and Cash Equivalents | 5 | A small cash position is maintained to facilitate portfolio adjustments and liquidity requirements. |
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 25.11% | Avg. Invested days 75 | Today’s Advisory PASS |
Upturn Advisory Rating ![]() | Upturn Advisory Performance | ETF Returns Performance |
ETF Fundamentals 
Source: EOD Historical Data • Updated Oct 2, 2026
Fund Basics
| Metric | Value |
|---|---|
| Fund Size (AUM) | $609.47M |
| Issuer | The Burney Company |
| Expense Ratio | 0.79% |
| Distribution Yield | 0.2% |
| Inception | Oct 13, 2022 |
Performance
| Period | Total Return |
|---|---|
| YTD | +14.65% |
| 1 Year | +20.06% |
| 3 Year | +26.73% |
Risk Metrics
| Metric | Value |
|---|---|
| 1Y Volatility | 13.09% |
| 3Y Volatility | 14.47% |
| 3Y Sharpe Ratio | 1.36 |
Ratings
| Metric | Value |
|---|---|
| Morningstar Rating | ★★★★★ |
Market Cap Distribution
| Cap Size | Weight |
|---|---|
| Mega Cap | 35.18% |
| Mid Cap | 22.38% |
| Large Cap | 20.50% |
| Small Cap | 12.31% |
| Micro Cap | 9.47% |
Top Sectors
| Sector | Weight |
|---|---|
| Technology | 38.94% |
| Financial Services | 15.91% |
| Consumer Cyclicals | 10.22% |
| Industrials | 8.17% |
Asset Allocation
Portfolio Characteristics
| Metric | Value |
|---|---|
| Portfolio P/E | 15.76x |
| Portfolio P/B | 3.27x |
| Portfolio P/S | 0.75x |
| Holdings Turnover | 0.0% |
Top Holdings
| Holding | Weight |
|---|---|
| NVIDIA | 8.76% |
| Alphabet Class A | 5.69% |
| Microsoft | 5.38% |
| Apple | 5.34% |
| Arista Networks | 5.12% |
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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