feat: v0.5 optimization suite#4
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…ng optimizers) Implements ADR-034 through ADR-036 and CONTRACT-019: - Glide-path allocation with linear interpolation (resolveWeights) - Mean-variance efficient frontier with long-only QP solver (computeEfficientFrontier) - SS claiming optimizer with SSA adjustment factors (optimizeSsClaiming) - Pension claiming optimizer with early/late factors (optimizePensionClaiming) - Annuity timing optimizer with bundled rate table (optimizeAnnuityTiming) - Projection and MC integration for per-year glide-path weights - 20+ new smoke test assertions; 141 total passing Co-Authored-By: claude-flow <ruv@ruv.net>
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Summary
src/glide-path.ts):resolveWeights()linearly interpolates portfolio weights across age-based steps. Integrated intorunProjectionand MC loop for per-year weight resolution.src/efficient-frontier.ts):computeEfficientFrontier()with inline long-only QP solver, 20 frontier points, current-portfolio position, max-Sharpe tangency, min-variance, and distance-to-frontier.src/claiming-optimizers.ts):optimizeSsClaiming(62-70, SSA factors),optimizePensionClaiming(55-75, early/late factors),optimizeAnnuityTiming(current to retirement age, bundled rate table). All grid-search with configurable metric.SSA_ADJUSTMENT_FACTORS(9 ages, 2025 rates),ANNUITY_RATE_TABLE(31 ages, male/female).GlidePathStep,FrontierPoint,EfficientFrontierResult,ClaimingOptimizerResultplus new optional Scenario fields.Test plan
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