feat(sandbox): deploy Phase 1 and Phase 2 of Portfolio Sandbox including Swamy-Arora GLS solver and stress-test visualization

This commit is contained in:
Antigravity Agent
2026-06-12 12:16:53 +02:00
parent 96f7643f8a
commit 36ac9e8397
17 changed files with 20956 additions and 510 deletions

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app/api/finance/route.ts Normal file
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import { NextResponse } from 'next/server';
export const dynamic = 'force-dynamic';
export const revalidate = 0;
// Partitioned active asset universes
const US_TICKERS = [
'AAPL', 'MSFT', 'NVDA', 'TSLA', 'AMD', 'SMCI', 'NFLX', 'AMZN', 'GOOGL', 'META',
'WMT', 'JNJ', 'PG', 'MRK', 'PLTR', 'BABA', 'CVX', 'XOM', 'BAC', 'JPM'
];
const EU_TICKERS = [
'ASML', 'SAP', 'MC.PA', 'OR.PA', 'NESN', 'NOVOB', 'SHEL', 'BP', 'HSBC', 'ALV.DE',
'VOW3.DE', 'BMW.DE', 'SIE.DE', 'DTE.DE', 'MBG.DE', 'BAS.DE', 'SAN.MC', 'BBVA.MC'
];
const CRYPTO_TICKERS = [
'BTC-USD', 'ETH-USD', 'SOL-USD', 'ADA-USD', 'XRP-USD', 'DOGE-USD', 'DOT-USD',
'LINK-USD', 'LTC-USD', 'AVAX-USD', 'BNB-USD', 'TRX-USD', 'NEAR-USD'
];
// Fallback database for fundamental overlay metrics to ensure absolute robustness
const MOCK_FUNDAMENTALS: Record<string, {
marketCap: number;
trailingPE: number;
forwardPE: number;
peg: number;
priceToBook: number;
dividendYield: number;
}> = {
// US Markets
'AAPL': { marketCap: 3000e9, trailingPE: 30.5, forwardPE: 26.8, peg: 1.5, priceToBook: 40.8, dividendYield: 0.005 },
'MSFT': { marketCap: 3200e9, trailingPE: 35.2, forwardPE: 30.1, peg: 1.8, priceToBook: 12.4, dividendYield: 0.007 },
'NVDA': { marketCap: 2800e9, trailingPE: 65.4, forwardPE: 32.5, peg: 0.9, priceToBook: 45.2, dividendYield: 0.0002 },
'TSLA': { marketCap: 600e9, trailingPE: 55.0, forwardPE: 42.0, peg: 2.1, priceToBook: 8.5, dividendYield: 0.0 },
'AMD': { marketCap: 250e9, trailingPE: 45.2, forwardPE: 28.5, peg: 1.4, priceToBook: 4.8, dividendYield: 0.0 },
'SMCI': { marketCap: 25e9, trailingPE: 22.4, forwardPE: 15.2, peg: 0.6, priceToBook: 6.2, dividendYield: 0.0 },
'NFLX': { marketCap: 280e9, trailingPE: 38.5, forwardPE: 29.2, peg: 1.3, priceToBook: 11.5, dividendYield: 0.0 },
'AMZN': { marketCap: 1800e9, trailingPE: 40.2, forwardPE: 32.1, peg: 1.2, priceToBook: 8.2, dividendYield: 0.0 },
'GOOGL':{ marketCap: 2100e9, trailingPE: 25.4, forwardPE: 21.2, peg: 1.1, priceToBook: 6.8, dividendYield: 0.0 },
'META': { marketCap: 1200e9, trailingPE: 28.1, forwardPE: 22.4, peg: 1.0, priceToBook: 7.5, dividendYield: 0.0 },
'WMT': { marketCap: 500e9, trailingPE: 26.5, forwardPE: 23.1, peg: 2.5, priceToBook: 5.4, dividendYield: 0.014 },
'JNJ': { marketCap: 380e9, trailingPE: 15.4, forwardPE: 14.2, peg: 2.8, priceToBook: 5.1, dividendYield: 0.032 },
'PG': { marketCap: 390e9, trailingPE: 24.2, forwardPE: 22.1, peg: 3.1, priceToBook: 7.2, dividendYield: 0.025 },
'MRK': { marketCap: 300e9, trailingPE: 16.8, forwardPE: 14.5, peg: 1.9, priceToBook: 4.9, dividendYield: 0.028 },
'PLTR': { marketCap: 85e9, trailingPE: 80.2, forwardPE: 55.4, peg: 1.7, priceToBook: 14.2, dividendYield: 0.0 },
'BABA': { marketCap: 180e9, trailingPE: 9.5, forwardPE: 8.2, peg: 0.8, priceToBook: 1.1, dividendYield: 0.012 },
'CVX': { marketCap: 290e9, trailingPE: 12.1, forwardPE: 11.2, peg: 2.0, priceToBook: 1.7, dividendYield: 0.042 },
'XOM': { marketCap: 480e9, trailingPE: 13.4, forwardPE: 12.2, peg: 1.8, priceToBook: 2.1, dividendYield: 0.037 },
'BAC': { marketCap: 310e9, trailingPE: 11.5, forwardPE: 10.4, peg: 1.5, priceToBook: 1.0, dividendYield: 0.024 },
'JPM': { marketCap: 550e9, trailingPE: 12.4, forwardPE: 11.5, peg: 1.6, priceToBook: 1.6, dividendYield: 0.022 },
// EU Markets
'ASML': { marketCap: 350e9, trailingPE: 42.1, forwardPE: 33.4, peg: 1.6, priceToBook: 22.4, dividendYield: 0.009 },
'SAP': { marketCap: 220e9, trailingPE: 34.5, forwardPE: 28.1, peg: 1.5, priceToBook: 8.4, dividendYield: 0.011 },
'MC.PA': { marketCap: 410e9, trailingPE: 24.2, forwardPE: 21.5, peg: 2.0, priceToBook: 6.9, dividendYield: 0.018 },
'OR.PA': { marketCap: 240e9, trailingPE: 32.1, forwardPE: 29.4, peg: 2.4, priceToBook: 7.8, dividendYield: 0.016 },
'NESN': { marketCap: 280e9, trailingPE: 20.4, forwardPE: 18.5, peg: 2.8, priceToBook: 5.6, dividendYield: 0.031 },
'NOVOB': { marketCap: 520e9, trailingPE: 38.2, forwardPE: 31.0, peg: 1.4, priceToBook: 32.1, dividendYield: 0.008 },
'SHEL': { marketCap: 210e9, trailingPE: 8.5, forwardPE: 7.8, peg: 1.2, priceToBook: 1.1, dividendYield: 0.041 },
'BP': { marketCap: 105e9, trailingPE: 7.2, forwardPE: 6.5, peg: 1.0, priceToBook: 0.9, dividendYield: 0.049 },
'HSBC': { marketCap: 140e9, trailingPE: 6.8, forwardPE: 6.2, peg: 1.3, priceToBook: 0.7, dividendYield: 0.062 },
'ALV.DE': { marketCap: 95e9, trailingPE: 10.4, forwardPE: 9.2, peg: 1.1, priceToBook: 1.2, dividendYield: 0.048 },
'VOW3.DE':{ marketCap: 60e9, trailingPE: 4.1, forwardPE: 3.8, peg: 0.5, priceToBook: 0.4, dividendYield: 0.075 },
'BMW.DE': { marketCap: 62e9, trailingPE: 5.2, forwardPE: 4.8, peg: 0.7, priceToBook: 0.6, dividendYield: 0.068 },
'SIE.DE': { marketCap: 135e9, trailingPE: 15.2, forwardPE: 13.1, peg: 1.3, priceToBook: 2.4, dividendYield: 0.028 },
'DTE.DE': { marketCap: 115e9, trailingPE: 13.8, forwardPE: 12.1, peg: 1.4, priceToBook: 1.8, dividendYield: 0.031 },
'MBG.DE': { marketCap: 70e9, trailingPE: 5.5, forwardPE: 5.1, peg: 0.8, priceToBook: 0.8, dividendYield: 0.072 },
'BAS.DE': { marketCap: 45e9, trailingPE: 12.4, forwardPE: 10.8, peg: 1.9, priceToBook: 1.1, dividendYield: 0.065 },
'SAN.MC': { marketCap: 75e9, trailingPE: 6.2, forwardPE: 5.8, peg: 0.9, priceToBook: 0.7, dividendYield: 0.045 },
'BBVA.MC':{ marketCap: 58e9, trailingPE: 6.5, forwardPE: 6.0, peg: 0.8, priceToBook: 0.8, dividendYield: 0.051 },
// Crypto Assets
'BTC-USD': { marketCap: 1300e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'ETH-USD': { marketCap: 420e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'SOL-USD': { marketCap: 75e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'ADA-USD': { marketCap: 18e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'XRP-USD': { marketCap: 32e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'DOGE-USD': { marketCap: 22e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'DOT-USD': { marketCap: 7e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'LINK-USD': { marketCap: 9e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'LTC-USD': { marketCap: 6e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'AVAX-USD': { marketCap: 12e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'BNB-USD': { marketCap: 90e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'TRX-USD': { marketCap: 10e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 },
'NEAR-USD': { marketCap: 6e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 }
};
// Calculate standard 14-day Welles Wilder RSI
function calculateRSI14(prices: number[]): number {
if (prices.length < 15) return 50;
let gains = 0;
let losses = 0;
for (let i = 1; i <= 14; i++) {
const diff = prices[i] - prices[i - 1];
if (diff > 0) {
gains += diff;
} else {
losses -= diff;
}
}
let avgGain = gains / 14;
let avgLoss = losses / 14;
for (let i = 15; i < prices.length; i++) {
const diff = prices[i] - prices[i - 1];
const gain = diff > 0 ? diff : 0;
const loss = diff < 0 ? -diff : 0;
avgGain = (avgGain * 13 + gain) / 14;
avgLoss = (avgLoss * 13 + loss) / 14;
}
if (avgLoss === 0) return 100;
const rs = avgGain / avgLoss;
return 100 - 100 / (1 + rs);
}
// Fetch fundamental data from FMP with safe fallback
async function fetchFMPFundamentalData(ticker: string, apiKey: string) {
if (ticker.includes('-USD') || ticker.includes('BTC') || ticker.includes('ETH')) {
const mock = MOCK_FUNDAMENTALS[ticker] || { marketCap: 0, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 };
return { ...mock, dividendYield: mock.dividendYield * 100 };
}
try {
const profileUrl = `https://financialmodelingprep.com/stable/profile?symbol=${ticker}&apikey=${apiKey}`;
const ratiosUrl = `https://financialmodelingprep.com/stable/ratios-ttm?symbol=${ticker}&apikey=${apiKey}`;
const [profRes, ratRes] = await Promise.all([
fetch(profileUrl, { signal: AbortSignal.timeout(3000) }),
fetch(ratiosUrl, { signal: AbortSignal.timeout(3000) })
]);
if (!profRes.ok || !ratRes.ok) {
throw new Error(`FMP request failed for ${ticker}`);
}
const profData = await profRes.json();
const ratData = await ratRes.json();
const profile = profData?.[0] || {};
const ratios = ratData?.[0] || {};
const marketCap = profile.marketCap || MOCK_FUNDAMENTALS[ticker]?.marketCap || 0;
const trailingPE = ratios.priceToEarningsRatioTTM || MOCK_FUNDAMENTALS[ticker]?.trailingPE || 0;
const peg = ratios.priceToEarningsGrowthRatioTTM || MOCK_FUNDAMENTALS[ticker]?.peg || 0;
const priceToBook = ratios.priceToBookRatioTTM || MOCK_FUNDAMENTALS[ticker]?.priceToBook || 0;
const dividendYield = ratios.dividendYieldTTM || MOCK_FUNDAMENTALS[ticker]?.dividendYield || 0;
// Invert Forward PE mathematically based on implied PEG growth
let forwardPE = null;
if (trailingPE && peg && peg > 0) {
const growth = trailingPE / (peg * 100);
forwardPE = trailingPE / (1 + growth);
} else if (trailingPE) {
forwardPE = trailingPE * 0.91;
} else {
forwardPE = MOCK_FUNDAMENTALS[ticker]?.forwardPE || 0;
}
return {
marketCap,
trailingPE: Number(trailingPE.toFixed(2)),
forwardPE: Number(forwardPE.toFixed(2)),
peg: Number(peg.toFixed(2)),
priceToBook: Number(priceToBook.toFixed(2)),
dividendYield: Number((dividendYield * 100).toFixed(2)) // convert to percentage (e.g. 0.015 -> 1.50)
};
} catch (err) {
console.warn(`Error fetching FMP data for ${ticker}, using fallback:`, err);
const mock = MOCK_FUNDAMENTALS[ticker] || { marketCap: 0, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 };
return {
...mock,
dividendYield: mock.dividendYield * 100
};
}
}
export async function GET(request: Request) {
const { searchParams } = new URL(request.url);
const tickerQuery = searchParams.get('ticker');
const tickersQuery = searchParams.get('tickers');
const mode = searchParams.get('mode') || 'day_crash';
const region = searchParams.get('region') || 'us';
const fmpApiKey = process.env.FMP_API_KEY || 'U6lOXaOFPye7oc1D235kyAqJeQaiTAWc';
let tickers: string[] = [];
try {
if (tickerQuery) {
tickers = [tickerQuery.trim().toUpperCase()];
} else if (tickersQuery && tickersQuery !== 'top_losers') {
tickers = tickersQuery.split(',').map(t => t.trim().toUpperCase());
} else {
// Partition by region
if (region === 'eu') {
tickers = EU_TICKERS;
} else if (region === 'crypto') {
tickers = CRYPTO_TICKERS;
} else {
tickers = US_TICKERS;
}
}
} catch (err: any) {
console.error('Ticker resolution error:', err.message);
}
if (tickers.length === 0) {
tickers = US_TICKERS;
}
// Fetch Yahoo Finance 1y charts in parallel
const rawResults = await Promise.all(
tickers.map(async (ticker) => {
try {
const response = await fetch(
`https://query1.finance.yahoo.com/v8/finance/chart/${ticker}?range=1y&interval=1d`,
{
cache: 'no-store',
headers: {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
}
}
);
if (!response.ok) {
throw new Error(`Failed to fetch chart data for ${ticker}`);
}
const data = await response.json();
const result = data.chart?.result?.[0];
if (!result) {
throw new Error(`No chart data found for ${ticker}`);
}
const closePrices = result.indicators?.quote?.[0]?.close || [];
const validPrices = closePrices.filter((p: any): p is number => typeof p === 'number' && p > 0);
if (validPrices.length === 0) {
throw new Error(`No valid closing prices found for ${ticker}`);
}
const currentPrice = validPrices[validPrices.length - 1];
const prevPrice = validPrices.length >= 2 ? validPrices[validPrices.length - 2] : currentPrice;
// Mode 1: single day change
const dayChange = (currentPrice - prevPrice) / prevPrice;
// Mode 2: 50-day moving average drop
const slice50 = validPrices.slice(-50);
const sma50 = slice50.reduce((a: number, b: number) => a + b, 0) / slice50.length;
const maDeviation = (currentPrice - sma50) / sma50;
// Mode 3: 52-week distance
const peak52w = Math.max(...validPrices);
const dist52w = (currentPrice - peak52w) / peak52w;
// Mode 4: 14-day RSI
const rsi14 = calculateRSI14(validPrices);
// Daily returns for local GJR-GARCH calculations
const returns = [];
for (let i = 1; i < validPrices.length; i++) {
returns.push((validPrices[i] - validPrices[i - 1]) / validPrices[i - 1]);
}
// We use the 90d peak drop as the default 'priceChange' compatibility variable
const slice90 = validPrices.slice(-90);
const peak90 = Math.max(...slice90);
const priceChange = (currentPrice - peak90) / peak90;
return {
ticker,
name: result.meta?.longName || result.meta?.shortName || `${ticker} Corp.`,
currentPrice,
peakPrice: peak90,
priceChange,
dayChange,
maDeviation,
dist52w,
rsi14,
returns: returns.slice(-90) // return last 90 days of returns to keep payload slim
};
} catch (err: any) {
console.error(`Error fetching ticker ${ticker}:`, err.message);
return {
ticker,
error: err.message || 'Unknown error'
};
}
})
);
// Filter out invalid tickers
const validResults = rawResults.filter((r) => !r.error) as Array<{
ticker: string;
name: string;
currentPrice: number;
peakPrice: number;
priceChange: number;
dayChange: number;
maDeviation: number;
dist52w: number;
rsi14: number;
returns: number[];
}>;
// Rank results based on the requested scan mode
let sortedResults = [...validResults];
if (mode === 'ma_drop') {
sortedResults.sort((a, b) => a.maDeviation - b.maDeviation);
} else if (mode === '52w_dist') {
sortedResults.sort((a, b) => a.dist52w - b.dist52w);
} else if (mode === 'rsi_oversold') {
sortedResults.sort((a, b) => a.rsi14 - b.rsi14);
} else {
// Default: day_crash (sort by dayChange ascending, most negative first)
sortedResults.sort((a, b) => a.dayChange - b.dayChange);
}
// Identify the top 15 outlier tickers to apply FMP overlay
const top15Tickers = new Set(sortedResults.slice(0, 15).map(r => r.ticker));
// Overlay FMP fundamental details
const results = await Promise.all(
sortedResults.map(async (res) => {
// Pull live data if in top 15, otherwise load direct mock fallback
if (top15Tickers.has(res.ticker)) {
const fundamentals = await fetchFMPFundamentalData(res.ticker, fmpApiKey);
return { ...res, ...fundamentals };
} else {
const mock = MOCK_FUNDAMENTALS[res.ticker] || { marketCap: 0, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 };
return {
...res,
...mock,
dividendYield: mock.dividendYield * 100
};
}
})
);
const response = NextResponse.json({ results });
response.headers.set('Cache-Control', 'no-store, max-age=0, must-revalidate');
return response;
}