93 lines
4.9 KiB
TypeScript
93 lines
4.9 KiB
TypeScript
import React from 'react';
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import { Settings, X } from 'lucide-react';
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interface SandboxBlueprintModalProps {
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isOpen: boolean;
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onClose: () => void;
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}
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export default function SandboxBlueprintModal({ isOpen, onClose }: SandboxBlueprintModalProps) {
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React.useEffect(() => {
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const handleKeyDown = (e: KeyboardEvent) => {
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if (e.key === 'Escape') {
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onClose();
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}
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};
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if (isOpen) {
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window.addEventListener('keydown', handleKeyDown);
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}
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return () => {
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window.removeEventListener('keydown', handleKeyDown);
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};
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}, [isOpen, onClose]);
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if (!isOpen) return null;
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return (
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<div className="fixed inset-0 z-50 flex items-center justify-center bg-slate-900/85 backdrop-blur-md p-4 sm:p-6 md:p-8 animate-fade-in">
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<div className="bg-slate-900 border border-slate-800/80 rounded-3xl w-full max-w-4xl h-[80vh] flex flex-col overflow-hidden shadow-2xl relative text-slate-350">
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{/* Modal Header */}
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<div className="flex justify-between items-center px-6 py-4 bg-slate-950/45 border-b border-slate-800/60">
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<div>
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<h2 className="text-base font-bold bg-gradient-to-r from-violet-400 to-fuchsia-400 bg-clip-text text-transparent flex items-center gap-2">
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<Settings className="w-5 h-5 text-violet-400" /> Portfolio Sandbox - Operational Blueprint
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</h2>
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<p className="text-[10px] text-slate-500 font-mono">System User Manual & Interface Mechanics</p>
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</div>
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<button
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onClick={onClose}
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className="text-slate-400 hover:text-slate-200 bg-slate-950/50 border border-slate-800 hover:border-slate-700 p-2 rounded-xl transition-all cursor-pointer flex items-center justify-center"
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aria-label="Close modal"
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>
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<X className="w-4 h-4" />
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</button>
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</div>
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{/* Modal Body */}
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<div className="flex-1 overflow-y-auto p-6 sm:p-8 space-y-8 text-slate-350 scrollbar-thin">
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<div className="border-b border-slate-800/80 pb-3">
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<h3 className="text-base font-bold text-slate-200">Portfolio Optimization Controls</h3>
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<p className="text-xs text-slate-400 mt-1">Operational specifications of the portfolio management sandbox cockpit.</p>
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</div>
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{/* Core Mechanics */}
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<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
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<div className="p-4 rounded-xl border border-slate-800/60 bg-slate-950/40 space-y-2">
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<h4 className="text-xs font-bold text-violet-400 uppercase tracking-wider font-mono">1. Kelly Sizing Controls</h4>
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<p className="text-xs text-slate-400 leading-relaxed font-sans">
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Uses success probability inputs and payout odds ratios (average win size / average loss size) to calculate the theoretical optimal leverage size. Enforces a **Half-Kelly** safety buffer by scaling the target bet size by 0.5. This prevents severe downside variance and reduces capital depletion risk.
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</p>
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</div>
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<div className="p-4 rounded-xl border border-slate-800/60 bg-slate-950/40 space-y-2">
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<h4 className="text-xs font-bold text-violet-400 uppercase tracking-wider font-mono">2. Weight Calculations</h4>
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<p className="text-xs text-slate-400 leading-relaxed font-sans">
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Computes the dynamic percentage allocation weights of individual portfolio holdings. It adjusts weights in real-time as asset prices fluctuate or shares are added/removed, ensuring capital exposure remains aligned with target limits.
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</p>
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</div>
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</div>
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{/* Interface Specifications */}
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<div className="space-y-3">
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<h3 className="text-sm font-bold text-slate-200 border-b border-slate-800 pb-2">Interface Actions & Computes</h3>
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<div className="text-xs text-slate-400 space-y-3 leading-relaxed">
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<p>
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<strong className="text-violet-400 font-semibold">Asset Allocation Cockpit:</strong> Allows editing absolute stock quantities and purchasing prices. Computes the aggregate portfolio value, average cost basis, and dollar/percentage changes.
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</p>
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<p>
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<strong className="text-violet-400 font-semibold">Synthetic Portfolio Return (Rpt):</strong> Aggregates historical daily log-returns of individual assets, weighted by current allocations, to chart the hypothetical historical equity curve of the combined portfolio.
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</p>
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<p>
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<strong className="text-violet-400 font-semibold">Swamy-Arora Panel Solver:</strong> Executes a server-side Swamy-Arora random effects regression. Estimates the beta coefficients, residual errors, and variance parameters across panel data structures, allowing architects to model multi-asset risk dynamics.
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</p>
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</div>
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</div>
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</div>
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</div>
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</div>
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);
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}
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