Position sizing under uncertainty requires a shift from conviction-based sizing to risk-based sizing. When smart contract risks emerge—such as the $11 million Maya Protocol exploit—the primary concern is not direction, but the magnitude of potential loss.
A durable framework is the Fixed Fractional method. Instead of allocating a fixed dollar amount to an asset like $SOL or $ETH, you allocate a fixed percentage of your total equity based on your maximum tolerable loss. If you allocate 2% of your portfolio to a trade, and your stop-loss is 10% below current prices, your actual position size is 20% of your capital. This ensures that even in high-volatility environments where $BTC dominance sits at 56.46%, a single event cannot catastrophically impact the total capital base.
Takeaway: Size your positions based on the distance to your exit, not your belief in the asset.
A durable framework is the Fixed Fractional method. Instead of allocating a fixed dollar amount to an asset like $SOL or $ETH, you allocate a fixed percentage of your total equity based on your maximum tolerable loss. If you allocate 2% of your portfolio to a trade, and your stop-loss is 10% below current prices, your actual position size is 20% of your capital. This ensures that even in high-volatility environments where $BTC dominance sits at 56.46%, a single event cannot catastrophically impact the total capital base.
Takeaway: Size your positions based on the distance to your exit, not your belief in the asset.