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Closes #014 - System-wide handbook sweep, English consolidation & Crypto state persistence

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Antigravity Agent
2026-06-13 13:59:29 +02:00
parent f3c549e476
commit dc703e1bb8
18 changed files with 839 additions and 488 deletions
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41
components/modules/scanner/ScannerMathModal.tsx
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@@ -1,5 +1,5 @@
import React from 'react';
import { BookOpen } from 'lucide-react';
import { BookOpen, X } from 'lucide-react';
import 'katex/dist/katex.min.css';
import { BlockMath, InlineMath } from 'react-katex';
@@ -26,8 +26,8 @@ export default function ScannerMathModal({ isOpen, onClose }: ScannerMathModalPr
if (!isOpen) return null;
return (
<div className="fixed inset-0 z-50 flex items-center justify-center bg-slate-950/85 backdrop-blur-md p-4 sm:p-6 md:p-8">
<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-300">
<div className="fixed inset-0 z-50 flex items-center justify-center bg-slate-955/90 backdrop-blur-md p-4 sm:p-6 md:p-8">
<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">
{/* Modal Header */}
<div className="flex justify-between items-center px-6 py-4 bg-slate-950/40 border-b border-slate-800/60">
@@ -39,9 +39,10 @@ export default function ScannerMathModal({ isOpen, onClose }: ScannerMathModalPr
</div>
<button
onClick={onClose}
className="text-slate-400 hover:text-slate-200 bg-slate-950/50 border border-slate-800 hover:border-slate-700 px-3 py-1.5 rounded-lg text-xs font-semibold font-mono transition-all cursor-pointer"
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"
aria-label="Close modal"
>
Schließen (ESC)
<X className="w-4 h-4" />
</button>
</div>
@@ -59,15 +60,15 @@ export default function ScannerMathModal({ isOpen, onClose }: ScannerMathModalPr
Scans the entire corporate equity universe daily, segmenting equities into three distinct market capitalization classes to identify localized overreactions:
</p>
<div className="grid grid-cols-3 gap-3 text-[11px] text-slate-400 font-mono text-center">
<div className="bg-slate-950/40 p-3 rounded-lg border border-slate-800/50">
<div className="bg-slate-955/40 p-3 rounded-lg border border-slate-800/50">
<span className="block font-bold text-slate-300">Mega Caps</span>
<span>&gt; $100B</span>
</div>
<div className="bg-slate-950/40 p-3 rounded-lg border border-slate-800/50">
<div className="bg-slate-955/40 p-3 rounded-lg border border-slate-800/50">
<span className="block font-bold text-slate-300">Mid Caps</span>
<span>$10B - $100B</span>
</div>
<div className="bg-slate-950/40 p-3 rounded-lg border border-slate-800/50">
<div className="bg-slate-955/40 p-3 rounded-lg border border-slate-800/50">
<span className="block font-bold text-slate-300">Small Caps</span>
<span>&lt; $10B</span>
</div>
@@ -79,20 +80,20 @@ export default function ScannerMathModal({ isOpen, onClose }: ScannerMathModalPr
<p className="text-xs leading-relaxed text-slate-400">
Calculates price distance ratios relative to support levels:
</p>
<div className="bg-slate-950/40 p-4 rounded-xl border border-slate-800/60 my-2 space-y-4">
<div className="bg-slate-955/40 p-4 rounded-xl border border-slate-800/60 my-2 space-y-4">
<div>
<p className="text-xs text-slate-400 mb-1">1. 52-Week High Deviation:</p>
<BlockMath math="\Delta_{52w} = \frac{P_{\text{current}} - P_{52w\_high}}{P_{52w\_high}}" />
<BlockMath math="\\Delta_{52w} = \\frac{P_{\\text{current}} - P_{52w\\_high}}{P_{52w\\_high}}" />
</div>
<div>
<p className="text-xs text-slate-400 mb-1">2. 50-Day Moving Average Drop:</p>
<BlockMath math="\Delta_{MA} = \frac{P_{\text{current}} - \text{MA}_{50}}{\text{MA}_{50}}" />
<BlockMath math="\\Delta_{MA} = \\frac{P_{\\text{current}} - \\text{MA}_{50}}{\\text{MA}_{50}}" />
</div>
<div>
<p className="text-xs text-slate-400 mb-1">3. Relative Strength Index (RSI-14) with smoothing:</p>
<BlockMath math="\text{RSI} = 100 - \frac{100}{1 + \text{RS}}" />
<BlockMath math="\text{RS} = \frac{\text{Smoothed Gain}_t}{\text{Smoothed Loss}_t}" />
<p className="text-[11px] text-slate-505 mt-2 font-mono">
<BlockMath math="\\text{RSI} = 100 - \\frac{100}{1 + \\text{RS}}" />
<BlockMath math="\\text{RS} = \\frac{\\text{Smoothed Gain}_t}{\\text{Smoothed Loss}_t}" />
<p className="text-[11px] text-slate-500 mt-2 font-mono">
where smoothed elements use Welles Wilder alpha = 1/14. Deep oversold signals trigger at RSI &lt; 30.
</p>
</div>
@@ -104,19 +105,19 @@ export default function ScannerMathModal({ isOpen, onClose }: ScannerMathModalPr
<p className="text-xs leading-relaxed text-slate-400">
To avoid value traps, technical drop factors are coupled with valuation metrics fetched in real-time from FMP:
</p>
<div className="bg-slate-950/40 p-4 rounded-xl border border-slate-800/60 my-2 space-y-4">
<div className="bg-slate-955/40 p-4 rounded-xl border border-slate-800/60 my-2 space-y-4">
<ul className="list-disc pl-5 text-xs text-slate-400 space-y-2 font-mono">
<li><strong>Trailing P/E (KGV)</strong>: Measures the price relative to trailing 12-month earnings.</li>
<li><strong>Price-to-Book (KBV)</strong>: Measures the asset backing relative to equity capital.</li>
<li><strong>Trailing P/E</strong>: Measures the price relative to trailing 12-month earnings.</li>
<li><strong>Price-to-Book</strong>: Measures the asset backing relative to equity capital.</li>
<li><strong>Dividend Yield (%)</strong>: Tangible dividend payouts to measure cash backflow support.</li>
<li><strong>PEG Ratio</strong>: Relates PE multiple to annual earnings growth:
<BlockMath math="\text{PEG} = \frac{\text{PE Ratio}}{\text{Earnings Growth Rate} \times 100}" />
<BlockMath math="\\text{PEG} = \\frac{\\text{PE Ratio}}{\\text{Earnings Growth Rate} \\times 100}" />
</li>
</ul>
<div className="border-t border-slate-850 pt-3">
<p className="text-xs text-slate-400 mb-1">Implicit Forward P/E calculation from PEG relationship:</p>
<BlockMath math="\text{Forward PE} = \frac{\text{Trailing PE}}{1 + g_{\text{implicit}}}" />
<BlockMath math="g_{\text{implicit}} = \frac{\text{Trailing PE}}{\text{PEG} \times 100}" />
<BlockMath math="\\text{Forward PE} = \\frac{\\text{Trailing PE}}{1 + g_{\\text{implicit}}}" />
<BlockMath math="g_{\\text{implicit}} = \\frac{\\text{Trailing PE}}{\\text{PEG} \\times 100}" />
<p className="text-[11px] text-slate-500 mt-2 font-mono">
If PEG is unavailable, a default growth rate of 10% is assumed as a conservative fallback baseline.
</p>