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Upturn AI Summary
Fidelity® MSCI Financials Index ETF(FNCL)
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 FNCL
10/02/2026: FNCL (3-star) is currently NOT-A-BUY. Pass it for now.
The Fidelity® MSCI Financials Index ETF (FNCL) provides low-cost, broad exposure to U.S. financial services companies by tracking a comprehensive index. Its primary strengths are its minimal expense ratio, issuer reliability, and the inclusion of companies across the capitalization spectrum. It is best used as a tactical tool for investors looking to increase sector exposure or capture financial industry growth. Investors should be aware of the inherent risks, including interest rate sensitivity and industry concentration. It is most suitable for long-term investors who believe in the growth potential of the financial sector and are comfortable with sector-specific volatility.
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 | Financials are generally value-oriented, offering limited exposure to the rapid capital appreciation typically sought by growth investors. |
| Momentum investor | Strong fit while signal remains positive | Momentum investors may utilize this ETF during periods of financial sector leadership driven by rising interest rates. |
| Value investor | Strong fit | The financial sector is a traditional value play, often featuring low price-to-earnings ratios and attractive dividend yields. |
| Dividend/Income investor | Strong fit | Many constituent banks and insurance companies are reliable dividend payers, making this a useful tool for income-focused portfolios. |
| Low-risk investor | Mixed fit | Sector-specific ETFs carry inherent concentration risk, which may exceed the risk tolerance of conservative, diversified investors. |
Investor Profile
Ideal Investor Profile
Investors seeking specific exposure to the U.S. financial services sector for tactical allocation or dividend income.
Suitability
Best for long-term investors looking to tilt their portfolio toward financials and passive index followers.
Risk Profile
| Risk factor | Level | Why it matters |
|---|---|---|
| Volatility | Medium / high | Financial stocks are economically sensitive and can experience significant price swings during market turbulence. |
| Market risk | High | As an equity-based product, the ETF is subject to the general fluctuations of the stock market. |
| Concentration | High | The fund is concentrated entirely within the financial sector, leaving it exposed to industry-specific regulatory or economic events. |
| Tracking/expense | Low | Fidelity's efficient management structure results in very low tracking error and minimal expense ratios. |
| Liquidity | Low | The underlying assets are highly liquid, ensuring that the ETF can be traded easily without significant cost. |
| Business/sector quality | Medium | The sector's health is closely tied to interest rate policies and credit cycle developments. |
Risk Analysis
Volatility
FNCL exhibits moderate to high volatility, typical of the financial sector's sensitivity to macroeconomic news.
Market Risk
The ETF is subject to systemic market risk, particularly regarding the stability of the U.S. banking system and interest rate policy.
What the ETF Owns
| Exposure Type | Exposure | Weight (%) | Retail Investor Read |
|---|---|---|---|
| Sector | U.S. Financial Services Equities | 99.5 | This provides concentrated exposure to the U.S. banking, insurance, and financial services industries. |
| Cash/collateral | Cash and Cash Equivalents | 0.5 | Represents minor liquidity held for operational purposes and pending trade settlements. |
Price Behavior
Strong Uptrend
The stock has maintained a strong upward price trend across the last three quarters.
Very Smooth
The stock has followed a highly orderly price path with minimal short-term disruption.
Analysis of Past Performance
Type ETF | Historic Profit 28.22% | Avg. Invested days 84 | Today’s Advisory PASS |
Upturn Advisory Rating  | Upturn Advisory Performance  4.0 | ETF Returns Performance  4.0 |
| 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) | $2.40B |
| Issuer | Fidelity Investments |
| Expense Ratio | 0.084% |
| Distribution Yield | 1.54% |
| Inception | Oct 21, 2013 |
Performance
| Period | Total Return |
|---|---|
| YTD | +1.37% |
| 1 Year | +4.09% |
| 3 Year | +20.03% |
| 5 Year | +9.42% |
| 10 Year | +12.70% |
Risk Metrics
| Metric | Value |
|---|---|
| 1Y Volatility | 12.46% |
| 3Y Volatility | 15.24% |
| 3Y Sharpe Ratio | 1.06 |
Ratings
| Metric | Value |
|---|---|
| Morningstar Rating | ★★★★★ |
| Sustainability Rating | 2 / 5 |
| Benchmark | MSCI ACWI NR USD |
Market Cap Distribution
| Cap Size | Weight |
|---|---|
| Large Cap | 36.07% |
| Mega Cap | 27.25% |
| Mid Cap | 24.86% |
| Small Cap | 8.43% |
| Micro Cap | 3.20% |
Top Sectors
| Sector | Weight |
|---|---|
| Financial Services | 97.09% |
| Technology | 1.95% |
| Real Estate | 0.62% |
| Industrials | 0.25% |
Asset Allocation
Portfolio Characteristics
| Metric | Value |
|---|---|
| Portfolio P/E | 15.14x |
| Portfolio P/B | 2.08x |
| Portfolio P/S | 2.72x |
| Holdings Turnover | 28.0% |
Top Holdings
| Holding | Weight |
|---|---|
| JPMorgan Chase & | 10.48% |
| Berkshire Hathaway | 8.34% |
| Visa. Class A | 7.15% |
| Mastercard | 5.38% |
| Bank of America | 4.20% |
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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