Owning many assets is not the same as being diversified. In crypto, assets can look different while behaving similarly during market stress.
Correlation analysis and portfolio optimisation help users examine that problem more rigorously.
Why Correlation Matters
Correlation shows how assets move in relation to each other. If several assets are highly correlated, the portfolio may be more concentrated than it appears.
This matters for DeFi tokens, layer-1 assets, ecosystem bets, stablecoin exposure, and derivatives positions. A portfolio can have many names and still rely on one dominant risk factor.
What Optimisation Adds
Portfolio optimisation uses objectives, constraints, risk, returns, and correlations to evaluate alternative allocations. It can help users understand tradeoffs between concentration, volatility, expected return, drawdown, and benchmark behavior.
Optimisation should not be treated as a trading instruction. It is analytical context. The point is to support better portfolio review, not to claim an allocation is guaranteed to perform.
Raster's Role
Raster connects correlation and optimisation to portfolio truth. That matters because optimisation is only useful when the current portfolio state is accurate.
Explore Portfolio Optimisation and Risk Analysis.