> ## Documentation Index > Fetch the complete documentation index at: https://docs.boltliquidity.io/llms.txt > Use this file to discover all available pages before exploring further. # Capital Efficiency > How convergence pricing decouples execution quality from liquidity depth, producing capital turnover rates of up to 100x. ## Execution quality without capital depth Traditional AMM design ties execution quality to the amount of capital in the pool. Deeper pools produce less slippage. Shallow pools produce worse fills. The result: ecosystems fund expensive incentive programs to attract TVL, most capital sits idle, and execution quality still degrades on larger trades. Bolt breaks that dependency. ## Price coverage, not balance sheet In Bolt's architecture, pricing is decided upstream by the Convergence Engine, not derived from pool depth. The engine ingests market data across venues, computes a convergence price, and commits it onchain. Pools settle trades against that price. They do not set the price. This means execution quality is a function of how accurately the engine reads the market, not how much capital sits in the pool. A smaller pool that settles against a precise convergence price produces better fills than a deeper pool priced by a stale curve. ## Capital turnover When pricing is decoupled from depth, capital works more efficiently. The same dollar of inventory can be recycled to settle many trades, because the pool is settlement infrastructure, not a pricing mechanism that must hold capital in reserve to manage a curve. Capital turnover rates of up to 100x. Traditional AMM models produce turnover well below 1x. The difference is structural: convergence pricing means capital is always settling, never idle. The radical efficiency comes from three design choices working together: **Convergence pricing.** Pools settle at the engine's price, not at a curve-derived price. No capital is locked to manage bonding-curve depth. **Netting and internalization.** Offsetting flow is netted before it touches inventory. When a buy and a sell arrive in close succession, the net exposure is smaller than either trade. Less inventory movement, higher effective turnover. **Hedging.** Directional exposure is hedged after settlement. Capital is returned to a neutral state and ready to settle the next trade. Continuous hedging means continuous availability. ## The compounding effect Capital efficiency is not static. As more flow routes through Bolt, the engine gets more data. More data produces better convergence forecasts. Better forecasts produce tighter spreads. Tighter spreads attract more flow. ```mermaid theme={null} flowchart LR A["More flow"] --> B["More data"] B --> C["Better forecasts"] C --> D["Tighter spreads"] D --> E["More routed volume"] E --> A ``` The flywheel means capital efficiency improves as coverage grows. Each new market or asset pair that Bolt covers adds flow that trains the engine and increases turnover across the whole system. ## Implications by audience Deployed capital produces returns through fee-based turnover, not directional exposure. Higher turnover on less capital, with hedging infrastructure managing risk. Ecosystem execution quality improves without proportional incentive spend. Bolt infrastructure scales efficiently because it does not require deep capital attraction to function. Reliable execution on liquidations and collateral swaps, even in early-stage markets without deep TVL. The convergence price is available regardless of pool depth. *** How LP returns work within the Execution Rail. The four-step pipeline from market data to settlement.