FGBL 10Y German Bunds Live Price, Chart & Factor Exposure Free Data & Analytics Access
F.FGBL in our API & Excel add-in to retrieve this data.FGBL 10Y German Bunds Forecast
FGBL 10Y German Bunds short-term price forecast is aBUY since short-term momentum is 50.00%. FGBL 10Y German Bunds long-term forecast is aBUY since long-term trend is 50.00%. FGBL 10Y German Bunds price based on realized volatility has a forecasted price between 120.64 to 121.08 on a daily basis, 120.37 to 121.35 on a weekly basis, 119.83 to 121.89 on a monthly basis, and 117.30 to 124.42 on an annual basis.
FGBL 10Y German Bunds Price Chart
FGBL 10Y German Bunds Factors
Factor exposure for FGBL 10Y German Bunds — 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
|
0.25 | signal, −1 to +1 | no factor history — no forward return, and no volatility to measure it against | Positive | ||||||
|
Mean Reversion
|
0 | price vs 250d mean | no factor history — no forward return, and no volatility to measure it against | Neutral | ||||||
|
20DVol
|
-0.91 | annualised | no factor history — no forward return, and no volatility to measure it against | Low | ||||||
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 FGBL 10Y German Bunds
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About FGBL 10Y German Bunds (Germany)
FGBL 10Y German Bunds (Germany) 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
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Free FGBL 10Y German Bunds historical data (last 10 years)
Browse or instantly download the last 10 years of FGBL 10Y German Bunds 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 |
|---|---|
| 2026-05-27 | 153.559998 |
| 2026-05-26 | 154.309998 |
| 2026-05-22 | 154.520004 |
| 2026-05-21 | 153.089996 |
| 2026-05-20 | 151.380005 |
| 2026-05-19 | 148.360001 |
| 2026-05-18 | 150.949997 |
| 2026-05-13 | 150.210007 |
| 2026-05-12 | 152.050003 |
| 2026-05-11 | 150.770004 |
About this stock
No description available.
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.