Meta Platforms (META) price forecast

Meta Platforms is trading at 593.41. Over the next 4 hours our simulation puts it between 575.31 and 613.57— 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.

Meta Platforms 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 Meta Platforms?

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 Meta Platforms

From its current level near 593, the model expects only modest gains: about 0.21% over one week (expected price ~595, with a 10th-to-90th-percentile band of roughly 556 to 636) and 0.67% over one month (~597, ranging from about 521 to 686). The one-year expected price is around 653, a 9.97% return, but with a very wide band from roughly 404 to 1,056. Probability of an upward move sits at 58.5% for a week, 67.3% for a month, and 60.3% for a year. Reliability is flagged as moderate, low, and very low respectively. Those wide ranges reflect annualised volatility of 37.22%, even after a 7.99% trailing-month gain. Crucially, the ML model does not beat a naive baseline at any horizon: 50.0% versus 51.9% at one day, 54.7% versus 55.4% at one week, and 53.7% versus 61.0% at one month. That measurable lack of edge warrants skepticism. Sharp volatility shifts, a reversal of recent momentum, or outcomes landing outside the stated percentile bands would 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 Meta Platforms 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.