Financials XLF ETF Price, Chart & Factor Exposure Free Data & Analytics Access
I.XLF in our API & Excel add-in to retrieve this data.Financials XLF ETF Forecast
Financials XLF ETF short-term price forecast is aSELL since short-term momentum is -50.00%. Financials XLF ETF long-term forecast is aSELL since long-term trend is -25.00%. Financials XLF ETF price based on realized volatility has a forecasted price between 53.15 to 54.87 on a daily basis, 52.13 to 55.89 on a weekly basis, 50.09 to 57.93 on a monthly basis, and 40.43 to 67.59 on an annual basis.
Financials XLF ETF Price Chart
Financials XLF ETF Factors
Factor exposure for Financials XLF ETF — signals, relative value, risk-model betas and fundamentals, plus factor models published by contributors.
What each factor says now, and what the next week and month paid when it last said the same thing — annualised, against the volatility it came with.
Quantitative Factors
| Factor | Value | Where in its own range | Forward 1 week, annualised | Forward 1 month, annualised | n · hit | Reading | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| in this state return / vol |
all history return / vol |
Sharpe | in this state return / vol |
all history return / vol |
Sharpe | |||||
|
Momentum
|
0.5 | signal, −1 to +1 | no factor history — no forward return, and no volatility to measure it against | Positive | ||||||
|
Trend
|
0.75 | signal, −1 to +1 | no factor history — no forward return, and no volatility to measure it against | Strong Positive | ||||||
|
Mean Reversion
|
0 | price vs 250d mean | no factor history — no forward return, and no volatility to measure it against | Neutral | ||||||
|
20DVol
|
-0.559 | annualised | no factor history — no forward return, and no volatility to measure it against | Normal | ||||||
Country Factors
| Factor | Value | Where in its own range | Forward 1 week, annualised | Forward 1 month, annualised | n · hit | Reading | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| in this state return / vol |
all history return / vol |
Sharpe | in this state return / vol |
all history return / vol |
Sharpe | |||||
|
Manufacturing PMI
|
55.3 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
S&P 500
|
7,704.13 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
United States 10-Year Bond Yield
|
5.253 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
US 2-year bond yield
|
4.904 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
US Services PMI
|
50.9 | no factor history — no forward return, and no volatility to measure it against | ||||||||
Annualised on trading-day offsets — the 1-week forward return is 5 trading days so ×50.4, the 1-month is 20 so ×12.6, volatility by the square root of the same. Sharpe is return ÷ volatility. No t-statistic: daily sampling overlaps these windows, so the observation count overstates the independent evidence behind them.
Research on Financials XLF ETF
Explore MacroFinance macro & markets research and analysis.
Statistical Distribution of Returns
Filters
| Factor | Indicator | Criteria | Value | And (for Between) | Action |
|---|
| Statistic | Unfiltered | Filtered |
|---|
About Financials XLF ETF (United States)
Financials XLF ETF (United States) is tracked on MacroFinance with a live and historical price chart, weekly factor-return attribution, statistical analysis (return distribution, drawdowns and seasonality), and free downloadable historical data (the last 10 years as CSV or JSON, no login).
Last updated: October 8, 2026
Frequently asked questions
What is Financials XLF ETF?
What factors affect Financials XLF ETF?
Where can I download free Financials XLF ETF historical data?
How is Financials XLF ETF analysed statistically?
Is the Financials XLF ETF data updated in real time?
Free Financials XLF ETF historical data (last 10 years)
Browse or instantly download the last 10 years of Financials XLF ETF daily price history. A free account unlocks the full history, an Excel export with factors, and API access.
Download CSV (10y)Download JSON (10y)Full history, Excel & API (free account)
| Date | Close |
|---|---|
| 2026-09-30 | 53.4 |
| 2026-09-29 | 54.01 |
| 2026-09-28 | 54.19 |
| 2026-09-25 | 54.84 |
| 2026-09-24 | 54.53 |
| 2026-09-23 | 54.54 |
| 2026-09-22 | 54.8 |
| 2026-09-21 | 55.9 |
| 2026-09-18 | 55.86 |
| 2026-09-17 | 55.88 |
Understanding the Statistical Distribution
The histogram shows the frequency of returns for the selected timeframe (1-Day, 1-Week, 1-Month, etc.). Values are expressed in % buckets after applying the corresponding scaling.
- Unfiltered = all observations within the date range.
- Filtered = observations that meet the criteria you add in the Filters panel (e.g., RSI > 60, Bubble Risk = LOW, etc.).
Annualization & Scaling
Means and standard deviations are annualized by the selected timeframe: 252 (daily), 52 (weekly), 12 (monthly), 6 (bi-monthly), 4 (quarterly). Histogram buckets display returns × 100.
Interacting with Filters
- Choose a factor (Momentum, Trend, Bubble Risk, RSI).
- Select a criterion (greater / equal / smaller / between).
- Set the value(s) and the chart & stats recalc instantly.
Use the date inputs to constrain the analysis window. “Clear” resets filters and dates.