Uber (UBER) price forecast

Uber is trading at 71.20. Over the next 4 hours our simulation puts it between 69.59 and 72.71— 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.

Uber forecast by timeframe

Intraday horizons are free. Longer horizons — 1 day through 5 years — are part of Pro.

How accurate has this model been on Uber?

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.

Backtested on 1340unseen 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 Uber

The model sees UBER, currently around 71.20, staying essentially flat across all horizons. It projects roughly 71 at one week, one month, and one year, with expected returns near 0% and coin-flip odds of gains (prob_up 0.529 at one week, 0.538 at one month, 0.497 at one year). Ranges widen sharply with time: 66.41–76.37 over a week, 61.77–81.96 over a month, and 43.24–116.68 over a year. Reliability is flagged moderate, low, and very low respectively. The wide bands reflect annualised volatility of 38.44%, and recent momentum is negative, with the trailing month down 5.63%. Critically, the ML model beats no naive baseline at any horizon — accuracy of 49.5%, 50.7%, and 48.4% versus baselines of 50.7%, 51.0%, and 51.6%. It shows no measurable predictive edge here. A volatility spike, a momentum shift, or realized prices breaching the stated ranges would undermine this flat, low-confidence 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 Uber 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.

Other stock 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.