AI chart analysis is more useful when it appears on the chart itself.
A text answer can describe support, resistance, trend, and invalidation. But traders and analysts need to inspect those levels visually. Raster's chart copilot is designed around that workflow: analyze the active chart, respect the timeframe, and support plotted overlays.
From Chat Answer to Chart Overlay
Raster AI can help analyze supported token charts across DeFi, Solana, Hyperliquid, and other supported chart surfaces. It can work with timeframes such as 15 minutes, 1 hour, 4 hours, and 1 day.
The user-facing output can include technical levels, support and resistance zones, entry or trim context, invalidation zones, market-structure notes, and scenario-style visual guides. These should be treated as analytical overlays, not predictions.
Chart-Only vs Portfolio-Aware
Some chart questions should stay chart-only. A user may simply want to know what the 1-hour chart is showing.
Other questions need portfolio context. If the user holds the asset, has a Hyperliquid position, or is considering adding exposure, the chart becomes part of a portfolio decision. Portfolio-aware analysis can connect chart context with holdings, PnL, risk, and concentration.
Hyperliquid Context
Hyperliquid charts are especially important because derivatives bring margin, funding, leverage, and liquidation risk. A chart overlay is more useful when it can sit alongside position context and liquidation maps.
Raster's Role
Raster connects Charts with the AI Quant Desk, helping users move from chart observation to structured review.