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Core questions about Raster, portfolio truth, pricing, and who the platform is built for.
Raster is an AI crypto portfolio analytics platform for investors and teams who need more than wallet balances. It reconstructs fragmented wallet, DeFi, exchange, and derivatives activity into one Portfolio Intelligence layer so users can understand exposure, PnL, risk, performance, and decision context.
Raster includes free tools for active digital asset workflows, including charting, trending assets, market sentiment, and supplemental research tools. Portfolio Intelligence starts at $9.90 per month. For current plans, limits, and institutional options, see the Pricing page.
Wallet trackers show balances, token amounts, current value, and recent activity. Raster reconstructs portfolio truth: cost basis, realised and unrealised PnL, exposure, concentration, risk drivers, performance attribution, and AI decision context. Trackers show what is visible; Raster shows what it means.
Raster is built for active digital asset investors, DeFi users, multi-wallet traders, funds, family offices, DAOs, research teams, and operators who need portfolio intelligence across fragmented wallets, venues, assets, and strategies.
How Raster turns fragmented crypto activity into decision-ready portfolio context.
Portfolio truth is the complete financial state behind fragmented crypto activity. It connects wallets, transactions, DeFi positions, derivatives exposure, cost basis, PnL, risk, and performance into one record that can support decisions.
Balances show what is visible right now. They do not explain average entry, unrealised PnL, hidden concentration, protocol risk, derivatives exposure, benchmark drift, or the forces behind portfolio movement.
Raster connects activity across wallets, chains, DeFi positions, transactions, exchanges, derivatives, cost basis, and PnL so the portfolio can be analysed as one coherent state instead of disconnected balances. You can open the live Portfolio Analytics surface from the app.
Raster is designed for digital asset portfolios that include wallets, chains, DeFi activity, exchanges, derivatives positions, and fragmented execution venues. The goal is to turn that activity into a usable portfolio record.
Questions about risk drivers, benchmark comparison, attribution, allocation, and efficient portfolio paths.
Raster can surface concentration, volatility, drawdowns, downside risk, risk contribution, leverage, derivatives exposure, and the assets or positions most responsible for portfolio-level risk inside Portfolio Analytics.
Raster compares returns against benchmarks, wallets, assets, and market context so users can understand what actually drove portfolio performance instead of relying only on net worth movement.
Portfolio optimisation compares current weights against a more efficient allocation path. It helps show allocation gaps, tradeoffs, turnover, risk changes, and where the portfolio may improve without pretending there is one perfect answer.
Raster helps answer what you own, where real risk sits, what drove performance, how allocation can improve, and what decision points may matter before the next move.
How Raster grounds AI outputs in portfolio state, risk, performance, optimisation, and market context.
Raster applies AI after portfolio context is reconstructed. Its AI is grounded in holdings, exposure, risk, performance, optimisation paths, chart context, and portfolio memory where available, so outputs are based on verified context rather than generic market prompts.
AI decision modelling turns reconstructed portfolio truth into portfolio-aware decision context. It can evaluate risk drivers, rebalance paths, scenario assumptions, tradeoffs, and execution considerations with a reviewable decision trail.
AI-native market mapping applies portfolio context to chart structure. It can map entries, trims, targets, invalidation zones, and risk scenarios so execution planning is connected to the portfolio rather than isolated from it. For chart-first workflows, open Charts.
No. Raster supports decision-making by helping users understand what they own, where risk sits, what is driving performance, how allocation can improve, and which decision points may matter before they act.
Practical questions about free tools, Portfolio Intelligence, institutional access, and wallet data.
Free tools include charting, trending assets, market sentiment, and supplemental workflow tools. These tools are useful for market context and active research even before using full Portfolio Intelligence.
Portfolio Intelligence is for users who need reconstructed portfolio state, cost basis, PnL, risk, performance, optimisation, and AI decision modelling across their actual holdings and exposure. You can start from Portfolio Analytics when you want the app workflow.
Teams, funds, family offices, and institutions can request an institutional demo for workflows that need deeper portfolio intelligence, team review, exportable context, or custom requirements.
Raster is designed around read-only portfolio intelligence. Users do not need to provide private keys to understand portfolio state. Connected wallet or account data should be governed by the permissions, access method, and security controls shown in the product.
Start with the free tools, review the product workflow, or request an institutional demo for portfolio intelligence across teams, wallets, venues, and decision processes.