PayPal (PYPL) price forecast

PayPal is trading at 58.35. Over the next 4 hours our simulation puts it between 56.57 and 61.16— 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 model puts the odds of finishing higher at 60%. These are probabilities, not predictions of certainty, and the backtest below shows exactly how often the model has been right.

PayPal 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 PayPal?

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 1925unseen 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 PayPal

The model sees PYPL, currently at 58.35, staying essentially flat over the near term. Its one-week expected price is 58.31 (-0.06%) with a 70% probability of finishing higher and a P10–P90 range of 54.15 to 62.81, tagged moderate reliability. The one-month view is 58.06 (-0.49%, 60% up, low reliability), and the one-year projection drifts to 55.92 (-4.17%, 45.9% up) inside a very wide 33.05 to 94.73 band rated very low reliability. That widening range reflects 40.78% annualised volatility, while the recent 32.3% trailing-month gain hints at strong momentum. Bluntly, the ML model shows no measurable edge: at the 1-, 7-, and 30-day horizons its accuracy (51.3%, 52.6%, 51.3%) matches or trails the naive baseline (51.8%, 52.6%, 51.9%), so these forecasts carry little predictive advantage. Given the high volatility and expanding longer-horizon ranges, the flat-to-lower outlook could be invalidated by continued momentum or any sharp move, especially over the low- and very-low-reliability monthly and yearly windows.

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 PayPal 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.