Uniswap (UNI-USD) price forecast

Uniswap is trading at 0.0002. These are probabilities, not predictions of certainty, and the backtest below shows exactly how often the model has been right.

Uniswap 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 Uniswap?

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 1210unseen 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 Uniswap

The model expects UNI-USD to drift lower across all horizons from a current price near 0.0002. Over one week the expected return is -2.85% with a roughly even chance of rising (prob_up 48.5%) and a p10–p90 range of about 0.0001 to 0.0002. Over one month it projects -12.64% (prob_up 39.1%), and over one year -79.05% (prob_up 21.4%). Confidence weakens with time: reliability is moderate at one week, low at one month, very low at one year. The driver is extreme annualised volatility of 193.1%, which widens outcomes and pressures longer expected returns; trailing-month change is flat at 0.0%. On edge, the ML model does not beat the naive baseline at 1 day (49.6% vs 56.8%) or 7 days (51.0% vs 54.0%). It only edges ahead at 30 days (57.2% vs 55.4%), a slim margin. A shift in that high volatility, or the short-horizon momentum, could invalidate these projections.

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 Uniswap 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 crypto 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.