Make data-driven stock predictions powered by an ensemble of 6 statistical models including Prophet. Track your accuracy, compare with AI forecasts, and build your prediction track record alongside a community of investors.
Quick Answer
Stock Expert AI's prediction engine uses an ensemble of 5 statistical models plus Meta's Prophet to generate price forecasts with confidence intervals for any US stock. Each prediction includes a 90-day price target, directional probability, and historical accuracy tracking — all powered by real-time data from FMP, Yahoo Finance, and Alpha Vantage.
Search from 21,000+ US stocks. Enter any ticker to start a new prediction or view existing AI forecasts and community predictions.
The system pulls real-time price history, fundamentals, technicals, and sentiment data from FMP, Yahoo Finance, and Alpha Vantage.
Six models — Linear Regression, Double Exponential Smoothing, Weighted Moving Average, Momentum + RSI, a Kalman Filter, and Meta's Prophet — each generate independent price forecasts with confidence bands.
Model outputs are weighted and combined into a single consensus forecast with 90-day price target, directional probability, and confidence interval.
Every prediction is timestamped and tracked. Compare AI forecasts against actual outcomes and build a verifiable accuracy track record over time.
We aggregate and cross-verify data from multiple professional financial data providers to power our prediction models.
All data verified and cross-referenced. Not financial advice.
The prediction engine uses an ensemble of 6 statistical models: Linear Regression (trend extrapolation), Double Exponential Smoothing (level and trend), Weighted Moving Average (recency-weighted prices), Momentum + RSI (technical momentum), a Kalman Filter (state-space noise filtering), and Meta's Prophet (seasonality). Each model generates an independent forecast, and outputs are weighted by recent accuracy to produce a consensus price target with confidence intervals.
Every prediction is timestamped and tracked against actual market outcomes. Accuracy varies by stock volatility, market conditions, and forecast horizon. Each model's ensemble weight is shown with every forecast. Those weights are re-estimated when predictions are scored against outcomes, and scoring is paused while the feature is idle — so treat the current weights as a snapshot, not a live measure. Predictions are educational tools and should not be treated as investment advice.
The ensemble includes 6 models: Linear Regression for linear trend projection, Double Exponential Smoothing for level and trend decomposition, Weighted Moving Average for recency-weighted price signals, Momentum + RSI for technical momentum, a Kalman Filter for state-space noise filtering, and Meta's Prophet for robust seasonality effects. Each model contributes independently to the final weighted forecast.
A forecast is generated when you request one, against the latest market data available at that moment, and every forecast carries the timestamp it was produced. Community predictions can be submitted at any time and are scored once their target date is reached.
Yes, the predictions feature is 100% free. You can view AI forecasts, make your own predictions, track accuracy, and compete on the leaderboard without any cost. Create a free account to save your prediction history and earn XP rewards.
No. All predictions are generated by statistical models for educational and entertainment purposes only. They are not investment advice. AI models cannot predict unexpected events, earnings surprises, or market crashes. Always consult a licensed financial advisor before making investment decisions.
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