Goldman Sachs (GS) price forecast

Goldman Sachs is trading at 980.75. Over the next 4 hours our simulation puts it between 953.93 and 1,006— 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.

Goldman Sachs 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 Goldman Sachs?

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 Goldman Sachs

The model projects modest near-term gains for GS from its current 981. Over one week it expects roughly 989 (+0.82%), with a 68% chance of finishing higher and a p10–p90 band of about 932 to 1,049. The one-month view centers near 1,013 (+3.28%, 63% up), and the one-year projection reaches roughly 1,464 (+49.26%, 89% up) but spans a very wide 964 to 2,224. Reliability is tagged moderate at one week and deteriorates to low and very low further out. The wide ranges reflect annualised volatility of 32.37%, and recent momentum is slightly negative, with the trailing month down 2.66%. Crucially, the ML model does not beat its naive baseline at any tested horizon: accuracy of 52.0% versus 52.9% at one day, 53.6% versus 56.6% at seven days, and 58.6% versus 60.4% at thirty days. Treat its directional signal skeptically. Continued volatility, a shift in momentum, or the model's persistent lack of edge could all undermine 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 Goldman Sachs 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.