Oracle (ORCL) price forecast

Oracle is trading at 117.74. Over the next 4 hours our simulation puts it between 113.24 and 120.88— 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 lower at 60%. These are probabilities, not predictions of certainty, and the backtest below shows exactly how often the model has been right.

Oracle 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 Oracle?

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 Oracle

The model sees ORCL near flat over the short run, with an expected price around 117.60 in one week (a -0.12% move) and about 116.78 in one month (-0.82%), before drifting to roughly 109 over a year (-7.32%). Confidence is limited: the one-week probability of a rise is 55% with moderate reliability, one month is 59.3% with low reliability, and the one-year 44.5% carries very low reliability. Ranges widen sharply, from 106.55–129.83 in a week to 54.14–220.28 over a year. The wide bands reflect annualised volatility of 54.34% and a trailing-month decline of 21.08%. The ML model shows essentially no durable edge: it barely beats the naive baseline at one day (53.3% vs 52.8%) and underperforms it at seven days (53.0% vs 54.1%) and thirty days (54.5% vs 57.3%). Given the elevated volatility and low reliability at longer horizons, sustained momentum shifts or moves beyond the stated ranges would invalidate 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 Oracle 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.