DAX (^GDAXI) price forecast
DAX is trading at 25,361. Over the next 4 hours our simulation puts it between 25,227 and 25,502— that's the 10th-to-90th percentile of 20,000 modelled outcomes, so roughly four times in five it should land inside that band. The odds of finishing higher are near a coin toss, so the model claims no directional signal here — the range is the whole forecast. These are probabilities, not predictions of certainty, and the backtest below shows exactly how often the model has been right.
Price history & forecast cone — 10th–90th percentile of 20,000 simulated futures
DAX forecast by timeframe
| Timeframe | Likely range | Midpoint | Odds higher |
|---|---|---|---|
| 5 Minutes | 25,341 – 25,381 | 25,361 | 50% |
| 15 Minutes | 25,327 – 25,396 | 25,361 | 50% |
| 1 Hour | 25,293 – 25,431 | 25,362 | 51% |
| 4 Hours | 25,227 – 25,502 | 25,364 | 51% |
| 30 Minutes | Available on Pro → | ||
| 1 Day | Available on Pro → | ||
| 1 Week | Available on Pro → | ||
| 1 Month | Available on Pro → | ||
| 6 Months | Available on Pro → | ||
| 1 Year | Available on Pro → | ||
| 5 Years | Available on Pro → | ||
Intraday horizons are free. Longer horizons — 1 day through 5 years — are part of Pro.
How accurate has this model been on DAX?
Every forecast site claims accuracy. Here is ours, measured by walk-forward backtest on data the model never saw during training. Where it has no edge over a naive baseline, we say so.
| Horizon | Directional accuracy | Baseline | Edge | Verdict |
|---|---|---|---|---|
| 1-day | 52.4% | 52.9% | -0.4% | no edge |
| 7-day | 56.6% | 57.4% | -0.8% | no edge |
| 30-day | 60.6% | 61.3% | -0.7% | no edge |
Backtested on 1820unseen samples. "No edge" means the model was no better than assuming the recent trend continues — an honest result, and a common one.
What the model is saying about DAX
Over the next week the model puts the odds of ^GDAXI rising at 57%, with a likely range of 24,594–26,130 around an expected 25,429. Price has moved -3.2% over the trailing month. A year out, the median simulated path implies +7.6%, but the 10–90% band spans 21,344–32,694 — at 19% annualised volatility, the range matters more than the midpoint. In walk-forward backtests the ML classifier shows no reliable edge over a naive baseline on this asset, so treat short-term direction as roughly a coin toss and rely on the ranges. Federal Reserve interest rate decision lands on 2026-09-16 — across its last 21 of these it has moved 1.1% on the day, about 1.2x a normal one. The ranges above already widen to account for it. These are probabilistic estimates from historical prices only — a volatility regime change, or news the model cannot see, would invalidate them. Not financial advice.
How to read this forecast
We don't publish a single price target, because nobody can know one. Instead the engine runs 20,000 simulated futures for DAX and reports the band containing the middle 80% of them — the 10th to 90th percentile. A wide band means genuine uncertainty; a narrow one means the recent range has been calm. The odds higher figure is a calibrated probability: when we say 60%, outcomes of that kind should finish higher about 60 times in 100. Near 50% there is no directional signal at all, and the range itself is the entire forecast.
More depth: what a forecast cone is, how to read a P10–P90 range, and what makes a probability trustworthy. Our public accuracy scorecard shows where the model has an edge — and where it has none.
See the live DAX forecast
Streaming prices, an interactive cone across every timeframe, and the full honesty scorecard.
Open DAX in Coneview →Other index forecasts
Forecasts are probabilistic estimates from historical price data, not financial advice. Short-horizon direction has only a small measurable edge; long-horizon numbers reflect drift plus widening uncertainty and should be read as ranges, not targets. Figures update hourly. Coneview provides statistical market information, not financial advice.