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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)
Advisory Performance History (Simulated)
Upturn Advisory & Investor View for FNCL
09/17/2026: FNCL (1-star) is a SELL. SELL for 2 days. Simulated Profits (7.51%). Updated daily EoD!
Fidelity® MSCI Financials Index ETF (FNCL) provides low-cost, comprehensive exposure to the U.S. financial sector by tracking the MSCI USA IMI Financials 25/50 Index. Its primary strengths are its competitive expense ratio, broad market-cap coverage, and the reliability of the Fidelity brand. It is designed for investors seeking to capture sector-specific trends rather than broad market returns. The primary risks involve interest rate sensitivity, regulatory changes, and economic cyclicality that can impact the financial industry. It is most suitable for long-term investors or those making tactical sector allocations, while active traders should monitor interest rate signals and economic policy changes.
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 | Financial stocks often exhibit more cyclicality than growth-oriented sectors like technology. |
| Momentum investor | Strong fit while signal remains positive | The fund can be a strong play when financial sector momentum is supported by rising interest rates. |
| Value investor | Strong fit | The financial sector is a traditional hub for value-oriented stocks characterized by reasonable P/E ratios and dividends. |
| Dividend/Income investor | Strong fit | Many mature financial firms in this ETF provide consistent dividend payouts, making it suitable for income-focused portfolios. |
| Low-risk investor | Weak fit | The sector is sensitive to macroeconomic volatility and regulatory changes, leading to higher beta than defensive sectors. |
Investor Profile
Ideal Investor Profile
The ideal investor is looking for low-cost, passive exposure to the U.S. financial sector as part of a diversified long-term portfolio.
Suitability
Best suited for long-term investors and passive index followers seeking sector-specific tactical exposure.
Risk Profile
| Risk factor | Level | Why it matters |
|---|---|---|
| Volatility | Medium / high | Financial stocks are highly sensitive to market cycles and interest rate fluctuations. |
| Market risk | High | The ETF is subject to the performance of the overall U.S. stock market and economic health. |
| Concentration | Medium / high | The fund is restricted to the financial sector, meaning it lacks diversification across other industries. |
| Tracking/expense | Low | The fund has a very low expense ratio and maintains tight tracking of its index. |
| Liquidity | Low | The underlying assets are highly liquid, resulting in minimal liquidity risk for the fund. |
| Business/sector quality | Medium | Sector performance is heavily influenced by systemic regulatory and economic factors. |
Risk Analysis
Volatility
FNCL exhibits volatility consistent with the broader financial sector, generally tracking the beta of the overall market but with higher sensitivity to interest rates.
Market Risk
The primary risk is the concentration in the U.S. financial sector, which is subject to specific regulatory and economic cyclicality risks.
What the ETF Owns
| Exposure Type | Exposure | Weight (%) | Retail Investor Read |
|---|---|---|---|
| Sector | Diversified Financials (Banks, Insurance, Asset Management, FinTech) | 99.5 | Provides comprehensive exposure to the entire U.S. financial services industry across varying market capitalizations. |
| Cash/collateral | Cash and Cash Equivalents | 0.5 | Small residual cash position held for operational liquidity and tracking efficiency. |
Price Behavior

Steady Uptrend
The stock demonstrates consistent and steady upward price momentum.

Very Smooth
The stock has followed a highly orderly price path with minimal short-term disruption.
Analysis of Past Performance
Type ETF | Historic Profit 47.59% | Avg. Invested days 87 | Today’s Advisory SELL |
Upturn Advisory Rating ![]() | Upturn Advisory Performance | ETF Returns Performance |
ETF Fundamentals 
Source: EOD Historical Data • Updated Sep 17, 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 | +3.22% |
| 1 Year | +5.99% |
| 3 Year | +19.64% |
| 5 Year | +10.16% |
| 10 Year | +13.02% |
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 | 36.26% |
| Mega Cap | 26.98% |
| Mid Cap | 24.82% |
| Small Cap | 8.46% |
| Micro Cap | 3.18% |
Top Sectors
| Sector | Weight |
|---|---|
| Financial Services | 97.05% |
| Technology | 1.98% |
| Real Estate | 0.63% |
| Industrials | 0.25% |
Asset Allocation
Portfolio Characteristics
| Metric | Value |
|---|---|
| Portfolio P/E | 15.08x |
| Portfolio P/B | 2.08x |
| Portfolio P/S | 2.72x |
| Holdings Turnover | 28.0% |
Top Holdings
| Holding | Weight |
|---|---|
| JPMorgan Chase & | 10.50% |
| Berkshire Hathaway | 8.16% |
| Visa. Class A | 6.98% |
| Mastercard | 5.21% |
| Bank of America | 4.33% |
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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