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Retract the fabricated '581M/597ns / 100M+/s / 434M GPU / planet-scale' headline (a time.Sleep sim + x40 fudge that measured nothing) across the corpus. Flagship lux-lightspeed-dex rewritten (decomplected d-chain engine / dexvm atomic proxy / Go wrapper / 0x9010 CLOB facade; measured GB10 104-126M & M4 Max ~250M fills/s byte-parity-gated; Knuth-D division lever; Block-STM settlement; P3Q->starkfri rollup to Z-Chain). Technical papers (precompile-engineering, gpu-crypto-stack, evmgpu-benchmark, p3q-corona, smart-order-routing, fhe-mpc-hybrid) carry the measured impl + cross-ref the flagship. >1B/s framed honestly as N-node aggregation, never single-GPU. All compile.
52 lines
2.0 KiB
TeX
52 lines
2.0 KiB
TeX
\section{Economic Model}
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\label{sec:economic}
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The economic model is a set of design parameters, not a measurement, and we present it as
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such. Fee tiers and the fee split are configuration; the revenue and yield expressions are
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illustrative formulas whose inputs are assumptions, explicitly labeled.
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\subsection{Fee tiers}
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\begin{table}[H]
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\centering
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\renewcommand{\arraystretch}{1.2}
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\begin{tabular}{l r r}
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\toprule
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\textbf{Tier} & \textbf{Maker} & \textbf{Taker} \\
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\midrule
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Retail & 0.05\% & 0.10\% \\
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Pro & 0.03\% & 0.08\% \\
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Institutional & 0.01\% & 0.05\% \\
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Market maker & 0.00\% & 0.03\% \\
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\bottomrule
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\end{tabular}
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\caption{Fee tiers. These are design parameters, not measured quantities, and a venue may
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configure them.}
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\label{tab:fees}
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\end{table}
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A CLOB rewards makers more than an AMM can: resting limit orders are the liquidity, so a
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maker rebate directly deepens the book. The taker fee prices immediacy. The split is
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orthogonal to the matching engine---it is applied at settlement and does not affect the
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determinism or parity properties of matching.
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\subsection{Fee distribution}
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Collected fees are split among validators (proportional to stake), liquidity providers, a
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buyback-and-burn of the native token, and a development fund. The exact percentages are
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governance parameters; the design intent is that the buyback couples protocol usage to token
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value and that the validator share funds the security budget once the D-Chain decentralizes.
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\subsection{Illustrative revenue (assumptions, not a claim)}
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For a venue with average daily volume $D$ and an average effective fee $\phi$, annual fee
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revenue is
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\[
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\text{revenue} = D \times \phi \times 365.
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\]
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This is arithmetic, not a forecast: $D$ and $\phi$ are inputs a reader supplies. We
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deliberately do not assert a specific daily volume, a specific revenue figure, or a validator
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APY, because we have not measured a production deployment. Any such figure would be a
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projection conditioned on an unmeasured volume assumption, and this paper reports measured
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quantities and labels everything else.
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