Forecast future prices with ML-powered confidence intervals
Predict price direction
Multi-timeframe forecasts
80% & 95% intervals
Risk scoring included
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ML price predictions are typically 70-80% accurate for consumer products with stable pricing patterns. The confidence intervals account for uncertainty. Higher confidence scores indicate more reliable predictions. External events (sales, product changes) can affect accuracy.
A confidence interval shows a range where the actual price is likely to fall. An 80% interval means we're 80% confident the price will be within that range. A wider interval means more uncertainty.
Predictions can be inaccurate due to: flash sales, product discontinuation, supplier changes, seasonal events not in the historical data, or market disruptions. Always use confidence intervals to understand the uncertainty.
**Support** is the historical lowest price (where buyers typically step in). **Resistance** is the historical highest price (where sellers typically step in). These levels help you understand the price trading range.