Timing your next upgrade
See where component prices are heading.
Compare the same parts over time. Separate local retail trends from supply-chain signals, and understand the uncertainty before buying or selling.
Australia · AUD · New retail
Graphics cards outlook
Collecting reliable local history
Hover or touch the chart to inspect values. Solid: observed. Dashed: model outlook. Dotted amber: your assumption.
At least three matched models and two retailers are needed. Collecting 52 consecutive daily observations for a 30-day forecast; currently 1. Recent regional observations are needed.
An index starts at 100 when a comparable basket begins. A reading of 105 means those matched prices rose 5%; it is not a component price. A basket reset starts a new segment. Last observed prices: 2026-10-13. Snapshot updated 2026-10-25 03:50 UTC.
Buying
Compare current offers; there is not enough evidence to recommend waiting.
Selling
Retail prices alone cannot value your used part. Check completed local sales.
What if prices change?
Explore an assumption without mistaking it for our forecast. This does not change the model or count as observed history.
Supply-chain signals to watch
Research helps explain risks before a local trend is established. Global chip contracts, currency movements and new launches can take time to affect retail prices.
No current source-backed signal for this category. The research team is investigating supply, launches, inventory and local currency effects.
How the outlook improves
We compare exact models at the same retailers in the same country. Repeated checks are combined into one daily observation per retailer and model. Used listings, out-of-stock offers, wrong currencies and unmatched variants do not enter the retail index.
Forecasts compete against a no-change baseline using only earlier data. The model uses a damped trend only when it improves rolling-origin error. Published forecasts are saved and checked against later observations. Our Market Analyst, Forecaster and Data Steward report coverage gaps and model failures to the product team.
Resale prices need a separate dataset of completed sales, condition, fees and local demand. A retail outlook is context for selling, not a valuation of your used component.
Forecast evaluation & prediction intervals ↗ · Why product quality and comparability matter ↗