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zeekayandHanzo Dev
178febad68
Every rendered "T-Chain" / "ThresholdVM" / "teleportvm" reference across the paper corpus is rewritten to the correct canonical chain by concern: threshold signing / MPC / bridge custody / key recovery -> M-Chain (MVM); FHE / encrypted compute / threshold decryption -> F-Chain (FVM); teleport / cross-chain messaging -> B-Chain (bridgevm); consensus Pulsar stays Q-Chain. Section lux-trust-kernel/03-t-chain-threshold-governance.tex renamed -> 03-f-chain-encrypted-policy.tex (with \input + xref fixes). Braided "T-Chain" sections split by concern (M vs F). Only lp-020's chain-separation rationale and the shared lux/chains/thresholdvm library path retain the name, to record the removal. All changed papers rebuilt (pdflatex, rc=0, no undefined refs). ยง09 of lux-dao-governance-framework reframed: fabricated "production deployment" metrics ($50M/$240k/$12M, survey %s, "as of Oct 2024") relabeled as illustrative design configurations with no invented replacements; reality noted (DAO treasury is a 1/1 Safe); conclusion echo + one "first production" overclaim softened. This commit also captures concurrent corpus workstreams on the same tree. Co-authored-by: Hanzo Dev <[email protected]>
58 lines
2.0 KiB
TeX
58 lines
2.0 KiB
TeX
\section{Target Yield Generation}
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\subsection{Yield Strategy Composition}
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Lux Credit targets approximately 11\% net APY to LUX stakers, drawn from a
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diversified gross yield stack. The composition below is an illustrative design
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target, not measured performance; the gross blended yield is reduced to the
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net target by protocol fees and a solvency reserve.
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\begin{table}[h]
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\centering
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\begin{tabular}{@{}lrr@{}}
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\toprule
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\textbf{Strategy} & \textbf{Allocation} & \textbf{APY} \\ \midrule
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LUX Staking Rewards & 40\% & 14.2\% \\
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Liquidity Mining & 25\% & 18.5\% \\
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Lending to Protocol & 20\% & 6.8\% \\
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Trading Fee Capture & 10\% & 9.3\% \\
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Bridge Fee Share & 5\% & 12.1\% \\ \midrule
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\textbf{Gross Weighted Average} & \textbf{100\%} & \textbf{13.2\%} \\ \bottomrule
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\end{tabular}
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\caption{Illustrative target yield strategy breakdown (gross; net-to-staker target $\approx$ 11\% after fees and reserve)}
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\end{table}
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\subsection{Automated Yield Optimization}
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\begin{algorithm}[H]
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\caption{Dynamic Yield Allocation}
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\begin{algorithmic}[1]
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\Function{RebalanceYield}{$totalCollateral$}
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\State $strategies \gets$ GetActiveStrategies()
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\State Sort $strategies$ by APY descending
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\For{each $strategy$ in $strategies$}
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\State $maxAllocation \gets strategy.capacityLimit$
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\State $currentAPY \gets strategy.getCurrentAPY()$
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\If{$currentAPY > targetAPY$ and $allocation < maxAllocation$}
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\State Allocate more capital to $strategy$
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\ElsIf{$currentAPY < targetAPY \times 0.8$}
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\State Withdraw from $strategy$
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\EndIf
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\EndFor
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\State Ensure $totalAllocated = totalCollateral$
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\State Emit RebalanceComplete($totalCollateral, newAPY$)
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\EndFunction
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\end{algorithmic}
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\end{algorithm}
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\subsection{Yield Performance}
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Measured historical yield performance is not yet available; the strategy stack
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above defines the design target. Realized quarterly yields will be published
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once the protocol accrues live operating history.
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