Russell 2000 (^RUT) price forecast
Russell 2000 is trading at 2,954. Over the next 4 hours our simulation puts it between 2,929 and 2,977— 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
Russell 2000 forecast by timeframe
| Timeframe | Likely range | Midpoint | Odds higher |
|---|---|---|---|
| 5 Minutes | 2,950 – 2,958 | 2,954 | 49% |
| 15 Minutes | 2,947 – 2,960 | 2,954 | 48% |
| 1 Hour | 2,941 – 2,966 | 2,954 | 49% |
| 4 Hours | 2,929 – 2,977 | 2,953 | 48% |
| 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 Russell 2000?
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% | 52.6% | -0.2% | no edge |
| 7-day | 51.4% | 54.1% | -2.7% | no edge |
| 30-day | 58.9% | 59.6% | -0.7% | no edge |
Backtested on 1895unseen 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 Russell 2000
The model sees the ^RUT index, currently near 2,954, drifting modestly higher across all horizons. Over one week it expects about 2,962 (+0.29%), with a 10th-to-90th percentile band of roughly 2,847 to 3,083 and a 54.5% chance of finishing up. The one-month view centres on 2,986 (+1.08%, 59.2% up), and the one-year projection reaches 3,391 (+14.8%, 73.5% up) but spans a very wide 2,556 to 4,502. Reliability is flagged moderate for a week, low for a month, and very low for a year. The wide ranges reflect annualised volatility of 21.92%, and recent momentum is slightly negative, with the trailing month down 2.0%. Crucially, the ML model does not beat its naive baseline at any horizon: accuracy of 52.4% versus 52.6% at one day, 51.4% versus 54.1% at one week, and 58.9% versus 59.6% at 30 days. Its predictive edge here is effectively absent. A volatility spike, a shift in the negative momentum, or realised moves outside the stated percentile bands would undercut this outlook.
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 Russell 2000 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 Russell 2000 forecast
Streaming prices, an interactive cone across every timeframe, and the full honesty scorecard.
Open Russell 2000 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.