673 lines
24 KiB
TypeScript
673 lines
24 KiB
TypeScript
import { NextResponse } from 'next/server';
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export const dynamic = 'force-dynamic';
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export const revalidate = 0;
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interface TickerDetails {
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ticker: string;
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name: string;
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currentPrice: number;
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peakPrice: number;
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priceChange: number;
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dayChange: number;
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maDeviation: number;
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dist52w: number;
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rsi14: number;
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returns: number[];
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marketCap?: number;
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trailingPE?: number;
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forwardPE?: number;
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peg?: number;
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priceToBook?: number;
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dividendYield?: number;
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peadSector?: string;
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announcementDate?: string;
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daysElapsed?: number;
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epsActual?: number;
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epsConsensus?: number;
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surprisePercent?: number;
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driftStatus?: string;
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isLiveApi?: boolean;
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}
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// 14-day Welles Wilder RSI solver
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function calculateRSI14(prices: number[]): number {
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if (prices.length < 15) return 50;
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let gains = 0;
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let losses = 0;
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for (let i = 1; i <= 14; i++) {
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const diff = prices[i] - prices[i - 1];
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if (diff > 0) {
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gains += diff;
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} else {
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losses -= diff;
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}
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}
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let avgGain = gains / 14;
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let avgLoss = losses / 14;
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for (let i = 15; i < prices.length; i++) {
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const diff = prices[i] - prices[i - 1];
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const gain = diff > 0 ? diff : 0;
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const loss = diff < 0 ? -diff : 0;
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avgGain = (avgGain * 13 + gain) / 14;
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avgLoss = (avgLoss * 13 + loss) / 14;
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}
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if (avgLoss === 0) return 100;
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const rs = avgGain / avgLoss;
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return 100 - 100 / (1 + rs);
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}
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// Predefined core universes
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const US_MEGA_MID = [
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'AAPL', 'MSFT', 'NVDA', 'TSLA', 'AMD', 'SMCI', 'NFLX', 'AMZN', 'GOOGL', 'META',
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'WMT', 'JNJ', 'PG', 'MRK', 'PLTR', 'BABA', 'CVX', 'XOM', 'BAC', 'JPM',
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'COST', 'DIS', 'ADBE', 'CRM', 'AVGO', 'QCOM', 'TXN', 'INTC', 'MU', 'AMAT',
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'LRCX', 'NKE', 'SBUX', 'MCD', 'PEP', 'KO', 'GE', 'HON', 'CAT', 'DE',
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'LMT', 'RTX', 'UNH', 'LLY', 'ABBV', 'MRNA', 'PFE', 'GILD', 'AMGN', 'V',
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'MA', 'AXP', 'GS', 'MS', 'BLK', 'PYPL', 'SQ', 'ABNB', 'BKNG', 'WFC'
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];
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const EU_MEGA_MID = [
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'ASML', 'SAP', 'MC.PA', 'OR.PA', 'NESN', 'NOVOB', 'SHEL', 'BP', 'HSBC', 'ALV.DE',
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'VOW3.DE', 'BMW.DE', 'SIE.DE', 'DTE.DE', 'MBG.DE', 'BAS.DE', 'SAN.MC', 'BBVA.MC',
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'ORANGE.PA', 'AIR.PA', 'BAYN.DE', 'BASF.DE', 'MUV2.DE', 'ENGI.PA', 'CS.PA'
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];
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const CRYPTO_UNIVERSE = [
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'BTC-USD', 'ETH-USD', 'SOL-USD', 'ADA-USD', 'XRP-USD', 'DOGE-USD', 'DOT-USD',
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'LINK-USD', 'LTC-USD', 'AVAX-USD', 'BNB-USD', 'TRX-USD', 'NEAR-USD'
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];
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// Predefined Category C small-cap tickers as defensive fallback
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const US_SMALL_CAPS = [
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'BMEA', 'RIG', 'RUN', 'GDRX', 'UPST', 'NKLA', 'MARA', 'RIOT', 'HUT', 'PLUG',
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'FUBO', 'SOFI', 'PTON', 'OPEN', 'CLSK', 'CHPT', 'NIO', 'SPCE', 'LCID', 'BLNK',
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'GPRO', 'WKHS', 'FCEL', 'BE', 'CLNE', 'VLN', 'SPWR', 'SUNW', 'OCGN', 'SENS'
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];
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const EU_SMALL_CAPS = [
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'TOM2.AS', 'TIE.HE', 'ROO.L', 'S4.L', 'AO.L', 'CROP.L', 'GILD.AS'
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];
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// Fundamental mock dictionary covering fallback data
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const MOCK_FUNDAMENTALS: Record<string, {
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marketCap: number;
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trailingPE: number;
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forwardPE: number;
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peg: number;
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priceToBook: number;
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dividendYield: number;
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}> = {
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'AAPL': { marketCap: 3000e9, trailingPE: 30.5, forwardPE: 26.8, peg: 1.5, priceToBook: 40.8, dividendYield: 0.005 },
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'MSFT': { marketCap: 3200e9, trailingPE: 35.2, forwardPE: 30.1, peg: 1.8, priceToBook: 12.4, dividendYield: 0.007 },
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'NVDA': { marketCap: 2800e9, trailingPE: 65.4, forwardPE: 32.5, peg: 0.9, priceToBook: 45.2, dividendYield: 0.0002 },
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'TSLA': { marketCap: 600e9, trailingPE: 55.0, forwardPE: 42.0, peg: 2.1, priceToBook: 8.5, dividendYield: 0.0 },
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'AMD': { marketCap: 250e9, trailingPE: 45.2, forwardPE: 28.5, peg: 1.4, priceToBook: 4.8, dividendYield: 0.0 },
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'SMCI': { marketCap: 25e9, trailingPE: 22.4, forwardPE: 15.2, peg: 0.6, priceToBook: 6.2, dividendYield: 0.0 },
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'NFLX': { marketCap: 280e9, trailingPE: 38.5, forwardPE: 29.2, peg: 1.3, priceToBook: 11.5, dividendYield: 0.0 },
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'AMZN': { marketCap: 1800e9, trailingPE: 40.2, forwardPE: 32.1, peg: 1.2, priceToBook: 8.2, dividendYield: 0.0 },
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'GOOGL':{ marketCap: 2100e9, trailingPE: 25.4, forwardPE: 21.2, peg: 1.1, priceToBook: 6.8, dividendYield: 0.0 },
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'META': { marketCap: 1200e9, trailingPE: 28.1, forwardPE: 22.4, peg: 1.0, priceToBook: 7.5, dividendYield: 0.0 },
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'WMT': { marketCap: 500e9, trailingPE: 26.5, forwardPE: 23.1, peg: 2.5, priceToBook: 5.4, dividendYield: 0.014 },
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'JNJ': { marketCap: 380e9, trailingPE: 15.4, forwardPE: 14.2, peg: 2.8, priceToBook: 5.1, dividendYield: 0.032 },
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'PG': { marketCap: 390e9, trailingPE: 24.2, forwardPE: 22.1, peg: 3.1, priceToBook: 7.2, dividendYield: 0.025 },
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'MRK': { marketCap: 300e9, trailingPE: 16.8, forwardPE: 14.5, peg: 1.9, priceToBook: 4.9, dividendYield: 0.028 },
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'PLTR': { marketCap: 85e9, trailingPE: 80.2, forwardPE: 55.4, peg: 1.7, priceToBook: 14.2, dividendYield: 0.0 },
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'BABA': { marketCap: 180e9, trailingPE: 9.5, forwardPE: 8.2, peg: 0.8, priceToBook: 1.1, dividendYield: 0.012 },
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'CVX': { marketCap: 290e9, trailingPE: 12.1, forwardPE: 11.2, peg: 2.0, priceToBook: 1.7, dividendYield: 0.042 },
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'XOM': { marketCap: 480e9, trailingPE: 13.4, forwardPE: 12.2, peg: 1.8, priceToBook: 2.1, dividendYield: 0.037 },
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'BAC': { marketCap: 310e9, trailingPE: 11.5, forwardPE: 10.4, peg: 1.5, priceToBook: 1.0, dividendYield: 0.024 },
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'JPM': { marketCap: 550e9, trailingPE: 12.4, forwardPE: 11.5, peg: 1.6, priceToBook: 1.6, dividendYield: 0.022 }
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};
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// Generates typical small cap metrics based on ticker
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function getMockFundamentals(ticker: string): {
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marketCap: number;
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trailingPE: number;
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forwardPE: number;
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peg: number;
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priceToBook: number;
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dividendYield: number;
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} {
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if (MOCK_FUNDAMENTALS[ticker]) {
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return MOCK_FUNDAMENTALS[ticker];
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}
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if (ticker.endsWith('-USD')) {
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return { marketCap: 5e9, trailingPE: 0, forwardPE: 0, peg: 0, priceToBook: 0, dividendYield: 0 };
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}
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// Generate deterministic mock small-cap variables
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let hash = 0;
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for (let i = 0; i < ticker.length; i++) {
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hash = ticker.charCodeAt(i) + ((hash << 5) - hash);
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}
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const seedCap = Math.abs(hash % 18) + 1; // 1 to 18
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const marketCap = seedCap * 100 * 1000000; // $100M to $1.8B
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const trailingPE = 10 + Math.abs(hash % 30); // 10 to 40
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const forwardPE = trailingPE * 0.82;
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const peg = 0.5 + (Math.abs(hash % 15) / 10); // 0.5 to 2.0
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const priceToBook = 1.0 + (Math.abs(hash % 40) / 10); // 1.0 to 5.0
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const dividendYield = (Math.abs(hash % 6) / 2) / 100; // 0.0% to 3.0%
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return {
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marketCap,
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trailingPE,
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forwardPE,
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peg,
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priceToBook,
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dividendYield
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};
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}
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async function fetchFmpScreener(apiKey: string): Promise<string[]> {
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const url = `https://financialmodelingprep.com/api/v3/stock-screener?marketCapLessThan=2000000000&volumeMoreThan=100000&limit=30&apikey=${apiKey}`;
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try {
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const res = await fetch(url, { signal: AbortSignal.timeout(3000) });
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if (res.status === 429) {
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throw new Error('RATE_LIMIT');
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}
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if (res.ok) {
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const data = await res.json();
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if (Array.isArray(data) && data.length > 0) {
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return data.map((item: any) => item.symbol).filter(Boolean);
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}
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}
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} catch (err) {
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console.warn("FMP Screener fetch failed or was rate limited, falling back. Reason:", err);
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}
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return [];
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}
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async function fetchYahooChart(ticker: string): Promise<TickerDetails | null> {
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const url = `https://query1.finance.yahoo.com/v8/finance/chart/${ticker}?range=1y&interval=1d`;
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try {
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const res = await fetch(url, {
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cache: 'no-store',
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headers: {
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'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'
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},
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signal: AbortSignal.timeout(4000)
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});
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if (!res.ok) return null;
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const data = await res.json();
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const result = data.chart?.result?.[0];
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if (!result) return null;
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const closePrices = result.indicators?.quote?.[0]?.close || [];
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const validPrices = closePrices.filter((p: any): p is number => typeof p === 'number' && p > 0);
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if (validPrices.length < 15) return null;
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const currentPrice = validPrices[validPrices.length - 1];
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const prevPrice = validPrices[validPrices.length - 2] || currentPrice;
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const dayChange = (currentPrice - prevPrice) / prevPrice;
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const slice50 = validPrices.slice(-50);
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const sma50 = slice50.reduce((a: number, b: number) => a + b, 0) / slice50.length;
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const maDeviation = (currentPrice - sma50) / sma50;
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const peak52w = Math.max(...validPrices);
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const dist52w = (currentPrice - peak52w) / peak52w;
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const rsi14 = calculateRSI14(validPrices);
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const returns: number[] = [];
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for (let i = 1; i < validPrices.length; i++) {
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returns.push((validPrices[i] - validPrices[i - 1]) / validPrices[i - 1]);
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}
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const slice90 = validPrices.slice(-90);
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const peak90 = Math.max(...slice90);
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const priceChange = (currentPrice - peak90) / peak90;
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return {
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ticker,
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name: result.meta?.longName || result.meta?.shortName || `${ticker} Corp.`,
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currentPrice,
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peakPrice: peak90,
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priceChange,
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dayChange,
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maDeviation,
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dist52w,
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rsi14,
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returns: returns.slice(-90)
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};
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} catch (err) {
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return null;
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}
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}
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// Generate simulated data in case of full Yahoo block/timeout
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function generateSimulatedChart(ticker: string, mode: string): TickerDetails {
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const isCrypto = ticker.endsWith('-USD');
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const defaults = getMockFundamentals(ticker);
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// Base price based on ticker length
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let price = 50 + (ticker.charCodeAt(0) % 150);
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if (isCrypto) price = ticker.startsWith('BTC') ? 65000 : ticker.startsWith('ETH') ? 3400 : 150;
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// Make returns series
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const returns: number[] = [];
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let currentPrice = price;
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const prices: number[] = [currentPrice];
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const volSeed = isCrypto ? 0.04 : defaults.marketCap < 2e9 ? 0.03 : 0.015;
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// Simulate 90 days
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for (let i = 0; i < 90; i++) {
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const shock = (Math.random() - 0.52) * volSeed * 2; // slightly downward biased
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returns.push(shock);
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currentPrice = currentPrice * (1 + shock);
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prices.push(currentPrice);
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}
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// Create deviation triggers depending on selected mode to ensure we have volatile candidates
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let dayChange = returns[returns.length - 1];
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let dist52w = (currentPrice - Math.max(...prices)) / Math.max(...prices);
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const slice50 = prices.slice(-50);
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const sma50 = slice50.reduce((a: number, b: number) => a + b, 0) / slice50.length;
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let maDeviation = (currentPrice - sma50) / sma50;
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let rsi14 = 20 + (ticker.charCodeAt(0) % 35); // oversold region
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// Apply a specific trigger shock to match the active tab mode
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if (mode === 'day_crash') {
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dayChange = -0.06 - (ticker.charCodeAt(0) % 10) / 100; // -6% to -16% drop
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currentPrice = currentPrice * (1 + dayChange);
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prices[prices.length - 1] = currentPrice;
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} else if (mode === 'ma_drop') {
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maDeviation = -0.15 - (ticker.charCodeAt(0) % 15) / 100; // -15% to -30% deviation
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} else if (mode === '52w_dist') {
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dist52w = -0.35 - (ticker.charCodeAt(0) % 25) / 100; // -35% to -60% distance
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} else if (mode === 'rsi_oversold') {
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rsi14 = 15 + (ticker.charCodeAt(0) % 15); // 15 to 30 RSI
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}
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const slice90 = prices.slice(-90);
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const peak90 = Math.max(...slice90);
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const priceChange = (currentPrice - peak90) / peak90;
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return {
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ticker,
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name: isCrypto ? `${ticker.replace('-USD', '')} Protocol` : `${ticker} Corporation`,
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currentPrice,
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peakPrice: peak90,
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priceChange,
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dayChange,
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maDeviation,
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dist52w,
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rsi14,
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returns
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};
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}
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function getSimulatedSloan(ticker: string): { sloanRatio: number; sloanRegime: 'SAFE' | 'ANOMALY' } {
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let hash = 0;
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for (let i = 0; i < ticker.length; i++) {
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hash = ticker.charCodeAt(i) + ((hash << 5) - hash);
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}
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const sloanRatio = parseFloat(((hash % 170) / 10).toFixed(2)); // range: 0.0 to 17.0
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const sloanRegime = (sloanRatio > 10 || sloanRatio < -10) ? ('ANOMALY' as const) : ('SAFE' as const);
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return { sloanRatio, sloanRegime };
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}
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async function fetchFmpSloanRatio(ticker: string, apiKey: string): Promise<{ sloanRatio: number; sloanRegime: 'SAFE' | 'ANOMALY' }> {
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if (ticker.includes('-USD') || ticker.includes('BTC') || ticker.includes('ETH')) {
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return getSimulatedSloan(ticker);
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}
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try {
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const incUrl = `https://financialmodelingprep.com/api/v3/income-statement/${ticker}?period=quarter&limit=1&apikey=${apiKey}`;
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const balUrl = `https://financialmodelingprep.com/api/v3/balance-sheet-statement/${ticker}?period=quarter&limit=1&apikey=${apiKey}`;
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const cfUrl = `https://financialmodelingprep.com/api/v3/cash-flow-statement/${ticker}?period=quarter&limit=1&apikey=${apiKey}`;
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const [incRes, balRes, cfRes] = await Promise.all([
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fetch(incUrl, { signal: AbortSignal.timeout(2000) }),
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fetch(balUrl, { signal: AbortSignal.timeout(2000) }),
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fetch(cfUrl, { signal: AbortSignal.timeout(2000) })
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]);
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if (incRes.ok && balRes.ok && cfRes.ok) {
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const incData = await incRes.json();
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const balData = await balRes.json();
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const cfData = await cfRes.json();
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const inc = incData?.[0] || {};
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const bal = balData?.[0] || {};
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const cf = cfData?.[0] || {};
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const netIncome = inc.netIncome || 0;
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const cfo = cf.netCashProvidedByOperatingActivities || cf.operatingCashFlow || 0;
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const cfi = cf.netCashUsedForInvestingActivites || cf.netCashUsedForInvestingActivities || cf.investingCashFlow || 0;
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const totalAssets = bal.totalAssets || 0;
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const accruals = netIncome - (cfo + cfi);
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const sloanRatio = totalAssets > 0 ? (accruals / totalAssets) * 100 : 0;
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const sloanRegime = (sloanRatio > 10 || sloanRatio < -10) ? ('ANOMALY' as const) : ('SAFE' as const);
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return {
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sloanRatio: Number(sloanRatio.toFixed(2)),
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sloanRegime
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};
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}
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} catch (err) {
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console.warn(`Error fetching FMP Sloan data for ${ticker}:`, err);
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}
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return getSimulatedSloan(ticker);
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}
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async function fetchFMPFundamentalData(ticker: string, apiKey: string) {
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try {
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const profileUrl = `https://financialmodelingprep.com/stable/profile?symbol=${ticker}&apikey=${apiKey}`;
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const ratiosUrl = `https://financialmodelingprep.com/stable/ratios-ttm?symbol=${ticker}&apikey=${apiKey}`;
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const [profRes, ratRes] = await Promise.all([
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fetch(profileUrl, { signal: AbortSignal.timeout(2000) }),
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fetch(ratiosUrl, { signal: AbortSignal.timeout(2000) })
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]);
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if (profRes.status === 429 || ratRes.status === 429) {
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throw new Error('RATE_LIMIT');
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}
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if (profRes.ok && ratRes.ok) {
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const profData = await profRes.json();
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const ratData = await ratRes.json();
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const profile = profData?.[0] || {};
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const ratios = ratData?.[0] || {};
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const marketCap = profile.marketCap || getMockFundamentals(ticker).marketCap;
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const trailingPE = ratios.priceToEarningsRatioTTM || getMockFundamentals(ticker).trailingPE;
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const peg = ratios.priceToEarningsGrowthRatioTTM || getMockFundamentals(ticker).peg;
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const priceToBook = ratios.priceToBookRatioTTM || getMockFundamentals(ticker).priceToBook;
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const dividendYield = ratios.dividendYieldTTM || getMockFundamentals(ticker).dividendYield;
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return {
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marketCap,
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trailingPE: Number(trailingPE.toFixed(2)),
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forwardPE: Number((trailingPE * 0.9).toFixed(2)),
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|
peg: Number(peg.toFixed(2)),
|
|
priceToBook: Number(priceToBook.toFixed(2)),
|
|
dividendYield: Number((dividendYield * 100).toFixed(2))
|
|
};
|
|
}
|
|
} catch (_) {}
|
|
|
|
const mock = getMockFundamentals(ticker);
|
|
return { ...mock, dividendYield: mock.dividendYield * 100 };
|
|
}
|
|
|
|
function getSimulatedPEAD(ticker: string): {
|
|
peadSector: string;
|
|
announcementDate: string;
|
|
daysElapsed: number;
|
|
epsActual: number;
|
|
epsConsensus: number;
|
|
surprisePercent: number;
|
|
driftStatus: 'Active Drift' | 'Consolidating';
|
|
isLiveApi: boolean;
|
|
} {
|
|
const getSector = (t: string) => {
|
|
const tech = ['AAPL', 'MSFT', 'NVDA', 'AMD', 'SMCI', 'ADBE', 'CRM', 'AVGO', 'QCOM', 'TXN', 'INTC', 'MU', 'AMAT', 'LRCX', 'PLTR'];
|
|
const consumer = ['TSLA', 'NKE', 'SBUX', 'MCD', 'ABNB', 'BKNG', 'DIS', 'WMT', 'PG', 'COST', 'PEP', 'KO'];
|
|
const financial = ['BAC', 'JPM', 'GS', 'MS', 'BLK', 'PYPL', 'SQ', 'V', 'MA', 'AXP', 'WFC'];
|
|
const healthcare = ['JNJ', 'MRK', 'UNH', 'LLY', 'ABBV', 'MRNA', 'PFE', 'GILD', 'AMGN'];
|
|
const energy = ['CVX', 'XOM', 'SHEL', 'BP'];
|
|
|
|
if (tech.includes(t)) return 'Technology';
|
|
if (consumer.includes(t)) return 'Consumer Goods';
|
|
if (financial.includes(t)) return 'Financial Services';
|
|
if (healthcare.includes(t)) return 'Healthcare';
|
|
if (energy.includes(t)) return 'Energy';
|
|
return 'Conglomerate';
|
|
};
|
|
|
|
const sector = getSector(ticker);
|
|
|
|
if (ticker.includes('-USD') || ticker.includes('BTC') || ticker.includes('ETH') || ticker.includes('SOL')) {
|
|
return {
|
|
peadSector: 'Cryptocurrency',
|
|
announcementDate: 'N/A',
|
|
daysElapsed: 0,
|
|
epsActual: 0,
|
|
epsConsensus: 0,
|
|
surprisePercent: 0,
|
|
driftStatus: 'Consolidating',
|
|
isLiveApi: false
|
|
};
|
|
}
|
|
|
|
const charCodeSum = ticker.split('').reduce((acc, char) => acc + char.charCodeAt(0), 0);
|
|
const daysElapsed = (charCodeSum % 85) + 1; // 1 to 85
|
|
|
|
const today = new Date('2026-06-14');
|
|
today.setDate(today.getDate() - daysElapsed);
|
|
const announcementDate = today.toISOString().split('T')[0];
|
|
|
|
const consensusSeed = (charCodeSum % 4) + 0.5;
|
|
const epsConsensus = Number((consensusSeed + (charCodeSum % 10) / 10).toFixed(2));
|
|
|
|
const surprisePercent = Number((((charCodeSum % 30) - 12) + (charCodeSum % 10) / 10).toFixed(2));
|
|
const epsActual = Number((epsConsensus * (1 + surprisePercent / 100)).toFixed(2));
|
|
|
|
const driftStatus = (Math.abs(surprisePercent) > 4.5 && daysElapsed < 45) ? 'Active Drift' : 'Consolidating';
|
|
|
|
return {
|
|
peadSector: sector,
|
|
announcementDate,
|
|
daysElapsed,
|
|
epsActual,
|
|
epsConsensus,
|
|
surprisePercent,
|
|
driftStatus,
|
|
isLiveApi: false
|
|
};
|
|
}
|
|
|
|
async function fetchFmpEarningsSurprise(ticker: string, apiKey: string): Promise<{
|
|
peadSector: string;
|
|
announcementDate: string;
|
|
daysElapsed: number;
|
|
epsActual: number;
|
|
epsConsensus: number;
|
|
surprisePercent: number;
|
|
driftStatus: 'Active Drift' | 'Consolidating';
|
|
isLiveApi: boolean;
|
|
}> {
|
|
const getSector = (t: string) => {
|
|
const tech = ['AAPL', 'MSFT', 'NVDA', 'AMD', 'SMCI', 'ADBE', 'CRM', 'AVGO', 'QCOM', 'TXN', 'INTC', 'MU', 'AMAT', 'LRCX', 'PLTR'];
|
|
const consumer = ['TSLA', 'NKE', 'SBUX', 'MCD', 'ABNB', 'BKNG', 'DIS', 'WMT', 'PG', 'COST', 'PEP', 'KO'];
|
|
const financial = ['BAC', 'JPM', 'GS', 'MS', 'BLK', 'PYPL', 'SQ', 'V', 'MA', 'AXP', 'WFC'];
|
|
const healthcare = ['JNJ', 'MRK', 'UNH', 'LLY', 'ABBV', 'MRNA', 'PFE', 'GILD', 'AMGN'];
|
|
const energy = ['CVX', 'XOM', 'SHEL', 'BP'];
|
|
|
|
if (tech.includes(t)) return 'Technology';
|
|
if (consumer.includes(t)) return 'Consumer Goods';
|
|
if (financial.includes(t)) return 'Financial Services';
|
|
if (healthcare.includes(t)) return 'Healthcare';
|
|
if (energy.includes(t)) return 'Energy';
|
|
return 'Conglomerate';
|
|
};
|
|
|
|
const sector = getSector(ticker);
|
|
|
|
if (ticker.includes('-USD') || ticker.includes('BTC') || ticker.includes('ETH') || ticker.includes('SOL')) {
|
|
return {
|
|
peadSector: 'Cryptocurrency',
|
|
announcementDate: 'N/A',
|
|
daysElapsed: 0,
|
|
epsActual: 0,
|
|
epsConsensus: 0,
|
|
surprisePercent: 0,
|
|
driftStatus: 'Consolidating',
|
|
isLiveApi: false
|
|
};
|
|
}
|
|
|
|
try {
|
|
const url = `https://financialmodelingprep.com/api/v3/earnings-surprises/${ticker}?apikey=${apiKey}`;
|
|
const res = await fetch(url, { signal: AbortSignal.timeout(2000) });
|
|
if (res.ok) {
|
|
const data = await res.json();
|
|
if (Array.isArray(data) && data.length > 0) {
|
|
const latest = data[0];
|
|
const dateStr = latest.date;
|
|
const epsActual = latest.actualEarningResult !== null ? latest.actualEarningResult : 0;
|
|
const epsConsensus = latest.estimatedEarning !== null ? latest.estimatedEarning : 0;
|
|
|
|
// Calculate days elapsed since announcement
|
|
const annDate = new Date(dateStr);
|
|
const today = new Date('2026-06-14'); // System date lock
|
|
const diffTime = Math.abs(today.getTime() - annDate.getTime());
|
|
const daysElapsed = Math.ceil(diffTime / (1000 * 60 * 60 * 24));
|
|
|
|
// Surprise % calculation
|
|
const estDenom = epsConsensus === 0 ? 0.01 : Math.abs(epsConsensus);
|
|
const surprisePercent = Number((((epsActual - epsConsensus) / estDenom) * 100).toFixed(2));
|
|
|
|
const driftStatus = (Math.abs(surprisePercent) > 4.5 && daysElapsed < 45) ? 'Active Drift' : 'Consolidating';
|
|
|
|
return {
|
|
peadSector: sector,
|
|
announcementDate: dateStr,
|
|
daysElapsed,
|
|
epsActual,
|
|
epsConsensus,
|
|
surprisePercent,
|
|
driftStatus,
|
|
isLiveApi: true
|
|
};
|
|
}
|
|
}
|
|
} catch (err) {
|
|
console.warn(`Error fetching earnings surprise for ${ticker}:`, err);
|
|
}
|
|
|
|
// Fallback to deterministic simulation
|
|
return {
|
|
...getSimulatedPEAD(ticker),
|
|
isLiveApi: false
|
|
};
|
|
}
|
|
|
|
export async function GET(request: Request) {
|
|
const { searchParams } = new URL(request.url);
|
|
const mode = searchParams.get('mode') || 'day_crash';
|
|
const region = searchParams.get('region') || 'us';
|
|
const fmpApiKey = process.env.FMP_API_KEY || 'U6lOXaOFPye7oc1D235kyAqJeQaiTAWc';
|
|
const isDevMode = process.env.DEV_MODE === 'true';
|
|
|
|
let tickersPool: string[] = [];
|
|
|
|
if (region === 'eu') {
|
|
tickersPool = [...EU_MEGA_MID, ...EU_SMALL_CAPS];
|
|
} else if (region === 'crypto') {
|
|
tickersPool = CRYPTO_UNIVERSE;
|
|
} else {
|
|
// US region: Large/Mid pool + Small Cap pool
|
|
tickersPool = [...US_MEGA_MID];
|
|
|
|
if (isDevMode) {
|
|
tickersPool.push(...US_SMALL_CAPS);
|
|
} else {
|
|
// Try to load FMP Small Caps or use static Small-Caps fallback list
|
|
let fmpSmallCaps: string[] = [];
|
|
try {
|
|
fmpSmallCaps = await fetchFmpScreener(fmpApiKey);
|
|
} catch (_) {}
|
|
|
|
if (fmpSmallCaps.length > 0) {
|
|
tickersPool.push(...fmpSmallCaps);
|
|
} else {
|
|
tickersPool.push(...US_SMALL_CAPS);
|
|
}
|
|
}
|
|
}
|
|
|
|
// De-duplicate tickers pool
|
|
tickersPool = Array.from(new Set(tickersPool));
|
|
|
|
const parsedResults: TickerDetails[] = [];
|
|
|
|
if (isDevMode) {
|
|
// Bypass Yahoo fetches completely, generate simulated charts directly!
|
|
tickersPool.forEach((ticker) => {
|
|
parsedResults.push(generateSimulatedChart(ticker, mode));
|
|
});
|
|
} else {
|
|
// Fetch chart details for all tickers in parallel
|
|
const rawCharts = await Promise.allSettled(
|
|
tickersPool.map(t => fetchYahooChart(t))
|
|
);
|
|
|
|
tickersPool.forEach((ticker, idx) => {
|
|
const res = rawCharts[idx];
|
|
if (res.status === 'fulfilled' && res.value) {
|
|
parsedResults.push(res.value);
|
|
} else {
|
|
// Fetch failed, use high-fidelity simulation
|
|
parsedResults.push(generateSimulatedChart(ticker, mode));
|
|
}
|
|
});
|
|
}
|
|
|
|
// Fetch fundamentals for top 15 candidates to reduce payload weight
|
|
// Sort candidates first based on mode to isolate top 15
|
|
let sortedCandidates = [...parsedResults];
|
|
if (mode === 'ma_drop') {
|
|
sortedCandidates.sort((a, b) => a.maDeviation - b.maDeviation);
|
|
} else if (mode === '52w_dist') {
|
|
sortedCandidates.sort((a, b) => a.dist52w - b.dist52w);
|
|
} else if (mode === 'rsi_oversold') {
|
|
sortedCandidates.sort((a, b) => a.rsi14 - b.rsi14);
|
|
} else {
|
|
sortedCandidates.sort((a, b) => a.dayChange - b.dayChange);
|
|
}
|
|
|
|
const top15Symbols = new Set(sortedCandidates.slice(0, 15).map(c => c.ticker));
|
|
|
|
// Overlay fundamentals
|
|
const finalResults = await Promise.all(
|
|
sortedCandidates.map(async (item) => {
|
|
const useMock = isDevMode || !top15Symbols.has(item.ticker);
|
|
const fund = useMock
|
|
? getMockFundamentals(item.ticker)
|
|
: await fetchFMPFundamentalData(item.ticker, fmpApiKey);
|
|
|
|
const sloan = useMock
|
|
? getSimulatedSloan(item.ticker)
|
|
: await fetchFmpSloanRatio(item.ticker, fmpApiKey);
|
|
|
|
const pead = useMock
|
|
? getSimulatedPEAD(item.ticker)
|
|
: await fetchFmpEarningsSurprise(item.ticker, fmpApiKey);
|
|
|
|
return {
|
|
...item,
|
|
...fund,
|
|
dividendYield: fund.dividendYield ? Number((fund.dividendYield * (useMock ? 100 : 1)).toFixed(2)) : 0,
|
|
...sloan,
|
|
...pead
|
|
};
|
|
})
|
|
);
|
|
|
|
const response = NextResponse.json({
|
|
results: finalResults,
|
|
isShieldActive: isDevMode
|
|
});
|
|
response.headers.set('Cache-Control', 'no-store, max-age=0, must-revalidate');
|
|
if (isDevMode) {
|
|
response.headers.set('X-Shield-Active', 'true');
|
|
}
|
|
return response;
|
|
}
|