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52 lines
1.6 KiB
TeX
52 lines
1.6 KiB
TeX
\section{Mixed FT/NFT Liquidity Pools}
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\subsection{Pool Types}
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QuantumSwap supports three pool configurations:
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\begin{center}
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\begin{tabular}{lll}
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\toprule
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\textbf{Type} & \textbf{Assets} & \textbf{Use Case} \\
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\midrule
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FT/FT & Two ERC-20 tokens & Standard AMM \\
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FT/NFT & ERC-20 + ERC-721 & RWA token trading \\
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NFT/NFT & Two ERC-721 collections & Cross-collection swaps \\
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\bottomrule
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\end{tabular}
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\end{center}
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\subsection{FT/NFT Mechanics}
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In an FT/NFT pool, the NFT side is treated as a discrete quantity
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while the FT side is continuous. The bonding curve operates on the
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NFT count, producing FT prices. This enables trade sequences like:
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\[
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\text{FT} \xrightarrow{\text{Pool A}} \text{NFT}_1
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\xrightarrow{\text{Pool B}} \text{NFT}_2
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\xrightarrow{\text{Pool C}} \text{FT}'
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\]
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Each hop uses the bonding curve of the respective pool. The router
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contract finds the optimal path across available pools.
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\subsection{Capital Efficiency}
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Concentrated liquidity in QuantumSwap achieves up to $4000\times$
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capital efficiency over Uniswap V2's uniform distribution, consistent
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with the analysis in Adams et al.~\cite{uniswapv3}. The improvement
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comes from restricting liquidity to a narrow price range rather than
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distributing it uniformly from zero to infinity.
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\begin{remark}
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The $4000\times$ figure is a theoretical maximum for a single tick
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range. Practical improvement depends on the LP's price range selection
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relative to realized volatility. Empirical data from Uniswap V3
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shows typical improvements of $4\times$ to $8\times$ for actively
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managed positions.
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\end{remark}
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%% ============================================================
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