feat: add stock sentiment insights card
This commit is contained in:
Alex Schneider
parent
b97d751c36
commit
5367fa2996
15
README.md
15
README.md
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@ -114,6 +114,7 @@ Language composition
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- Stock details
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- TradingView symbol info, candlestick/advanced charts, baseline, technicals
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- Company profile and financials widgets
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- Optional cross-source sentiment insights for Reddit, X.com, news, and Polymarket
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- Market overview
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- Heatmap, quotes, and top stories (TradingView widgets)
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- Personalized onboarding
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@ -253,6 +254,10 @@ BETTER_AUTH_URL=http://localhost:3000
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NEXT_PUBLIC_FINNHUB_API_KEY=your_finnhub_key
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FINNHUB_BASE_URL=https://finnhub.io/api/v1
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# Sentiment insights (optional)
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ADANOS_API_KEY=your_adanos_api_key
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# ADANOS_API_BASE_URL=https://api.adanos.org
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# AI Provider (optional, default: "gemini")
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# Supported: "gemini", "minimax", "siray"
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# AI_PROVIDER=gemini
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@ -290,6 +295,10 @@ BETTER_AUTH_URL=http://localhost:3000
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NEXT_PUBLIC_FINNHUB_API_KEY=your_finnhub_key
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FINNHUB_BASE_URL=https://finnhub.io/api/v1
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# Sentiment insights (optional)
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ADANOS_API_KEY=your_adanos_api_key
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# ADANOS_API_BASE_URL=https://api.adanos.org
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# AI Provider (optional, default: "gemini")
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# Supported: "gemini", "minimax", "siray"
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# AI_PROVIDER=gemini
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@ -362,6 +371,11 @@ public/assets/images/ # logos and screenshots
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- Set `NEXT_PUBLIC_FINNHUB_API_KEY` and `FINNHUB_BASE_URL` (default: https://finnhub.io/api/v1).
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- Free tiers may return delayed quotes; respect rate limits and terms.
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- Adanos sentiment insights (optional)
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- Structured stock sentiment snapshots across Reddit, X.com, news, and Polymarket.
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- Set `ADANOS_API_KEY`; optionally override the API host with `ADANOS_API_BASE_URL`.
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- Used only for the stock detail sentiment card and does not replace Finnhub or TradingView.
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- TradingView
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- Embeddable widgets used for charts, heatmap, quotes, and timelines.
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- External images from `i.ibb.co` are allowlisted in `next.config.ts`.
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@ -451,4 +465,3 @@ Huge thanks to [Adrian Hajdin (JavaScript Mastery)](https://github.com/adrianhaj
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GitHub: [adrianhajdin](https://github.com/adrianhajdin)
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YouTube tutorial: [Stock Market App Tutorial](https://www.youtube.com/watch?v=gu4pafNCXng)
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YouTube channel: [JavaScript Mastery](https://www.youtube.com/@javascriptmastery)
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@ -0,0 +1,124 @@
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import { describe, expect, it } from 'vitest';
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import {
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buildStockSentimentInsights,
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getSourceAlignment,
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normalizeSourceInsight,
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} from '@/lib/actions/adanos.actions';
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describe('normalizeSourceInsight', () => {
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it('maps source-specific metrics for mentions and trades', () => {
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const reddit = normalizeSourceInsight('reddit', {
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ticker: 'TSLA',
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buzz_score: 81.2,
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bullish_pct: 46,
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trend: 'rising',
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mentions: 647,
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});
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const polymarket = normalizeSourceInsight('polymarket', {
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ticker: 'TSLA',
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buzz_score: 55.7,
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bullish_pct: 72,
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trend: 'stable',
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trade_count: 3731,
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});
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expect(reddit).toMatchObject({
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label: 'Reddit',
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companyName: null,
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metricLabel: 'Mentions',
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metricValue: 647,
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buzzScore: 81.2,
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bullishPct: 46,
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});
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expect(polymarket).toMatchObject({
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label: 'Polymarket',
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companyName: null,
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metricLabel: 'Trades',
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metricValue: 3731,
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buzzScore: 55.7,
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bullishPct: 72,
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});
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});
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it('returns null when required values are missing', () => {
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expect(
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normalizeSourceInsight('x', {
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ticker: 'NVDA',
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bullish_pct: 54,
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mentions: 1200,
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}),
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).toBeNull();
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expect(
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normalizeSourceInsight('news', {
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ticker: 'NVDA',
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buzz_score: 60,
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bullish_pct: 54,
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}),
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).toBeNull();
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});
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});
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describe('getSourceAlignment', () => {
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it('classifies wide divergence when sources materially disagree', () => {
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expect(getSourceAlignment([31, 56, 48, 30])).toBe('Wide divergence');
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});
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it('classifies bullish alignment when sources are tightly aligned and positive', () => {
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expect(getSourceAlignment([61, 64, 67])).toBe('Bullish alignment');
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});
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});
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describe('buildStockSentimentInsights', () => {
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it('builds a compact aggregate summary from available sources', () => {
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const insight = buildStockSentimentInsights('TSLA', [
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{
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source: 'reddit',
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label: 'Reddit',
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companyName: 'Tesla, Inc.',
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buzzScore: 74.1,
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bullishPct: 31,
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trend: 'rising',
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metricLabel: 'Mentions',
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metricValue: 647,
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},
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{
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source: 'x',
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label: 'X.com',
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companyName: 'Tesla, Inc.',
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buzzScore: 86.1,
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bullishPct: 56,
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trend: 'falling',
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metricLabel: 'Mentions',
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metricValue: 2650,
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},
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{
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source: 'polymarket',
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label: 'Polymarket',
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companyName: 'Tesla, Inc.',
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buzzScore: 83.3,
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bullishPct: 30,
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trend: 'falling',
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metricLabel: 'Trades',
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metricValue: 3731,
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},
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null,
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]);
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expect(insight).toMatchObject({
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symbol: 'TSLA',
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companyName: 'Tesla, Inc.',
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averageBuzz: 81.2,
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bullishAverage: 39,
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sourceAlignment: 'Wide divergence',
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availableSources: 3,
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});
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expect(insight?.sources).toHaveLength(3);
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});
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it('returns null when no sources have usable data', () => {
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expect(buildStockSentimentInsights('MSFT', [null, null])).toBeNull();
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});
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});
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@ -1,5 +1,6 @@
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import TradingViewWidget from "@/components/TradingViewWidget";
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import WatchlistButton from "@/components/WatchlistButton";
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import StockSentimentCard from "@/components/stocks/StockSentimentCard";
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import {
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SYMBOL_INFO_WIDGET_CONFIG,
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CANDLE_CHART_WIDGET_CONFIG,
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@ -12,6 +13,7 @@ import {
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import { auth } from '@/lib/better-auth/auth';
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import { headers } from 'next/headers';
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import { isStockInWatchlist } from '@/lib/actions/watchlist.actions';
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import { getStockSentimentInsights } from '@/lib/actions/adanos.actions';
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import { formatSymbolForTradingView } from '@/lib/utils';
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export default async function StockDetails({ params }: StockDetailsPageProps) {
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@ -24,6 +26,7 @@ export default async function StockDetails({ params }: StockDetailsPageProps) {
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});
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const userId = session?.user?.id;
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const isInWatchlist = userId ? await isStockInWatchlist(userId, symbol) : false;
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const sentimentInsights = await getStockSentimentInsights(symbol);
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return (
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<div className="flex min-h-screen p-4 md:p-6 lg:p-8">
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@ -64,6 +67,8 @@ export default async function StockDetails({ params }: StockDetailsPageProps) {
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/>
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</div>
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<StockSentimentCard insight={sentimentInsights} />
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<TradingViewWidget
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scriptUrl={`${scriptUrl}technical-analysis.js`}
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config={TECHNICAL_ANALYSIS_WIDGET_CONFIG(tvSymbol)}
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@ -85,4 +90,4 @@ export default async function StockDetails({ params }: StockDetailsPageProps) {
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</section>
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</div>
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);
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}
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}
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@ -0,0 +1,148 @@
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import type { StockSentimentInsights } from '@/lib/actions/adanos.actions';
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interface StockSentimentCardProps {
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insight: StockSentimentInsights | null;
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}
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function formatScore(value: number | null, suffix: string): string {
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if (value === null) return 'N/A';
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return `${value.toFixed(1)}${suffix}`;
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}
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function formatCompactNumber(value: number): string {
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return new Intl.NumberFormat('en-US', {
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notation: 'compact',
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maximumFractionDigits: 1,
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}).format(value);
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}
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function getTrendClasses(trend: string | null): string {
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if (trend === 'rising') return 'text-emerald-400';
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if (trend === 'falling') return 'text-rose-400';
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if (trend === 'stable') return 'text-amber-300';
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return 'text-gray-400';
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}
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function getAlignmentClasses(alignment: string): string {
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if (alignment === 'Bullish alignment') return 'text-emerald-400';
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if (alignment === 'Bearish alignment' || alignment === 'Wide divergence') return 'text-rose-400';
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if (alignment === 'Tight alignment') return 'text-blue-300';
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return 'text-gray-300';
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}
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export default function StockSentimentCard({ insight }: StockSentimentCardProps) {
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if (!insight) {
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return null;
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}
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return (
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<section className="rounded-2xl border border-gray-800 bg-gray-950/40 p-5 backdrop-blur-sm">
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<div className="flex flex-col gap-5">
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<div className="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
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<div>
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<p className="text-xs font-semibold uppercase tracking-[0.22em] text-gray-500">
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Sentiment Insights
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</p>
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<h2 className="mt-2 text-xl font-semibold text-white">
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{insight.symbol} across social and public channels
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</h2>
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{insight.companyName ? (
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<p className="mt-1 text-sm font-medium text-gray-300">
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{insight.companyName}
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</p>
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) : null}
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<p className="mt-1 text-sm text-gray-400">
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Structured sentiment snapshot across Reddit, X.com, news, and Polymarket.
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</p>
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</div>
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<div className="grid grid-cols-2 gap-3 rounded-2xl border border-gray-800 bg-black/20 p-4 md:min-w-[320px]">
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<div>
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Avg. Buzz
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</p>
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<p className="mt-1 text-lg font-semibold text-white">
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{formatScore(insight.averageBuzz, '/100')}
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</p>
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</div>
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<div>
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Bullish Avg
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</p>
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<p className="mt-1 text-lg font-semibold text-white">
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{formatScore(insight.bullishAverage, '%')}
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</p>
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</div>
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<div>
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Source Alignment
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</p>
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<p className={`mt-1 text-sm font-semibold ${getAlignmentClasses(insight.sourceAlignment)}`}>
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{insight.sourceAlignment}
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</p>
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</div>
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<div>
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Coverage
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</p>
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<p className="mt-1 text-lg font-semibold text-white">
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{insight.availableSources}/4
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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 className="grid grid-cols-1 gap-4 md:grid-cols-2">
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{insight.sources.map((source) => (
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<article
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key={source.source}
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className="rounded-xl border border-gray-800 bg-black/20 p-4"
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>
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<div className="flex items-center justify-between">
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<h3 className="text-base font-semibold text-white">{source.label}</h3>
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<span className={`text-sm font-medium capitalize ${getTrendClasses(source.trend)}`}>
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{source.trend ?? 'No trend'}
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</span>
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</div>
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<div className="mt-4 grid grid-cols-2 gap-3">
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<div className="rounded-lg border border-gray-800 bg-black/20 p-3">
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Buzz
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</p>
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<p className="mt-2 text-xl font-semibold text-white">
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{formatScore(source.buzzScore, '/100')}
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</p>
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</div>
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<div className="rounded-lg border border-gray-800 bg-black/20 p-3">
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Bullish
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</p>
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<p className="mt-2 text-xl font-semibold text-white">
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{formatScore(source.bullishPct, '%')}
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</p>
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</div>
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<div className="rounded-lg border border-gray-800 bg-black/20 p-3">
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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{source.metricLabel}
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</p>
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<p className="mt-2 text-xl font-semibold text-white">
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{formatCompactNumber(source.metricValue)}
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</p>
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</div>
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<div className="rounded-lg border border-gray-800 bg-black/20 p-3">
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<p className="text-[11px] font-medium uppercase tracking-[0.2em] text-gray-500">
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Trend
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</p>
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<p className={`mt-2 text-xl font-semibold capitalize ${getTrendClasses(source.trend)}`}>
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{source.trend ?? 'N/A'}
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</p>
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</div>
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</div>
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</article>
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))}
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</div>
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</div>
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</section>
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);
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}
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@ -0,0 +1,224 @@
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'use server';
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type SentimentSourceKey = 'reddit' | 'x' | 'news' | 'polymarket';
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type SentimentTrend = 'rising' | 'falling' | 'stable';
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type BaseCompareRow = {
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ticker?: string;
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company_name?: string | null;
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buzz_score?: number | null;
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trend?: SentimentTrend | null;
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bullish_pct?: number | null;
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trend_history?: number[] | null;
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};
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type SourceComparePayload = {
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stocks?: BaseCompareRow[];
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};
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const ADANOS_BASE_URL = (process.env.ADANOS_API_BASE_URL || 'https://api.adanos.org').replace(/\/$/, '');
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const ADANOS_API_KEY = process.env.ADANOS_API_KEY ?? '';
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const DEFAULT_LOOKBACK_DAYS = 7;
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const SOURCE_CONFIG = {
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reddit: {
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label: 'Reddit',
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path: '/reddit/stocks/v1/compare',
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metricLabel: 'Mentions',
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metricField: 'mentions',
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},
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x: {
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label: 'X.com',
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path: '/x/stocks/v1/compare',
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metricLabel: 'Mentions',
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metricField: 'mentions',
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},
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news: {
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label: 'News',
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path: '/news/stocks/v1/compare',
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metricLabel: 'Mentions',
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metricField: 'mentions',
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},
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polymarket: {
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label: 'Polymarket',
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path: '/polymarket/stocks/v1/compare',
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metricLabel: 'Trades',
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metricField: 'trade_count',
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},
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} as const satisfies Record<
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SentimentSourceKey,
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{
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label: string;
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path: string;
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metricLabel: string;
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metricField: string;
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}
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>;
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type SourceSpecificRow = BaseCompareRow & Record<string, unknown>;
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export interface SentimentSourceInsight {
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source: SentimentSourceKey;
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label: string;
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companyName: string | null;
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buzzScore: number;
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bullishPct: number | null;
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trend: SentimentTrend | null;
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metricLabel: string;
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metricValue: number;
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}
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export interface StockSentimentInsights {
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symbol: string;
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companyName: string | null;
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averageBuzz: number;
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bullishAverage: number | null;
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sourceAlignment: string;
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availableSources: number;
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sources: SentimentSourceInsight[];
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}
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function toNumber(value: unknown): number | null {
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if (typeof value === 'number' && Number.isFinite(value)) return value;
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if (typeof value === 'string' && value.trim() !== '') {
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const parsed = Number(value);
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return Number.isFinite(parsed) ? parsed : null;
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}
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return null;
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}
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function roundTo(value: number, digits: number = 1): number {
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const factor = 10 ** digits;
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return Math.round(value * factor) / factor;
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}
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function average(values: number[]): number {
|
||||
return values.reduce((sum, value) => sum + value, 0) / values.length;
|
||||
}
|
||||
|
||||
function normalizeTrend(value: unknown): SentimentTrend | null {
|
||||
return value === 'rising' || value === 'falling' || value === 'stable' ? value : null;
|
||||
}
|
||||
|
||||
export function getSourceAlignment(bullishValues: number[]): string {
|
||||
if (bullishValues.length === 0) return 'No sentiment mix';
|
||||
if (bullishValues.length === 1) return 'Single-source view';
|
||||
|
||||
const min = Math.min(...bullishValues);
|
||||
const max = Math.max(...bullishValues);
|
||||
const spread = max - min;
|
||||
const avg = average(bullishValues);
|
||||
|
||||
if (spread <= 12 && avg >= 60) return 'Bullish alignment';
|
||||
if (spread <= 12 && avg <= 40) return 'Bearish alignment';
|
||||
if (spread <= 12) return 'Tight alignment';
|
||||
if (spread >= 25) return 'Wide divergence';
|
||||
return 'Mixed';
|
||||
}
|
||||
|
||||
export function normalizeSourceInsight(
|
||||
source: SentimentSourceKey,
|
||||
row: SourceSpecificRow | null | undefined,
|
||||
): SentimentSourceInsight | null {
|
||||
if (!row) return null;
|
||||
|
||||
const buzzScore = toNumber(row.buzz_score);
|
||||
const metricValue = toNumber(row[SOURCE_CONFIG[source].metricField]);
|
||||
|
||||
if (buzzScore === null || metricValue === null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return {
|
||||
source,
|
||||
label: SOURCE_CONFIG[source].label,
|
||||
companyName: typeof row.company_name === 'string' ? row.company_name : null,
|
||||
buzzScore: roundTo(buzzScore),
|
||||
bullishPct: toNumber(row.bullish_pct),
|
||||
trend: normalizeTrend(row.trend),
|
||||
metricLabel: SOURCE_CONFIG[source].metricLabel,
|
||||
metricValue: Math.round(metricValue),
|
||||
};
|
||||
}
|
||||
|
||||
export function buildStockSentimentInsights(
|
||||
symbol: string,
|
||||
sources: Array<SentimentSourceInsight | null>,
|
||||
): StockSentimentInsights | null {
|
||||
const availableSources = sources.filter((source): source is SentimentSourceInsight => Boolean(source));
|
||||
|
||||
if (availableSources.length === 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const buzzValues = availableSources.map((source) => source.buzzScore);
|
||||
const bullishValues = availableSources
|
||||
.map((source) => source.bullishPct)
|
||||
.filter((value): value is number => value !== null);
|
||||
|
||||
return {
|
||||
symbol: symbol.toUpperCase(),
|
||||
companyName: availableSources.find((source) => source.companyName)?.companyName ?? null,
|
||||
averageBuzz: roundTo(average(buzzValues)),
|
||||
bullishAverage: bullishValues.length ? roundTo(average(bullishValues)) : null,
|
||||
sourceAlignment: getSourceAlignment(bullishValues),
|
||||
availableSources: availableSources.length,
|
||||
sources: availableSources,
|
||||
};
|
||||
}
|
||||
|
||||
async function fetchCompareSource(
|
||||
source: SentimentSourceKey,
|
||||
symbol: string,
|
||||
days: number,
|
||||
): Promise<SentimentSourceInsight | null> {
|
||||
const url = new URL(`${ADANOS_BASE_URL}${SOURCE_CONFIG[source].path}`);
|
||||
url.searchParams.set('tickers', symbol.toUpperCase());
|
||||
url.searchParams.set('days', String(days));
|
||||
|
||||
try {
|
||||
const response = await fetch(url.toString(), {
|
||||
headers: {
|
||||
'X-API-Key': ADANOS_API_KEY,
|
||||
},
|
||||
next: { revalidate: 300 },
|
||||
});
|
||||
|
||||
if (response.status === 404) {
|
||||
return null;
|
||||
}
|
||||
|
||||
if (!response.ok) {
|
||||
console.error(`Adanos ${source} compare failed for ${symbol}: ${response.status}`);
|
||||
return null;
|
||||
}
|
||||
|
||||
const payload = (await response.json()) as SourceComparePayload;
|
||||
const row = payload.stocks?.find((item) => item.ticker?.toUpperCase() === symbol.toUpperCase())
|
||||
?? payload.stocks?.[0];
|
||||
|
||||
return normalizeSourceInsight(source, row);
|
||||
} catch (error) {
|
||||
console.error(`Adanos ${source} compare request failed for ${symbol}`, error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
export async function getStockSentimentInsights(
|
||||
symbol: string,
|
||||
days: number = DEFAULT_LOOKBACK_DAYS,
|
||||
): Promise<StockSentimentInsights | null> {
|
||||
if (!ADANOS_API_KEY || !symbol?.trim()) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const normalizedSymbol = symbol.trim().toUpperCase();
|
||||
const lookbackDays = Math.max(1, Math.min(days, 30));
|
||||
const sourceKeys = Object.keys(SOURCE_CONFIG) as SentimentSourceKey[];
|
||||
|
||||
const sources = await Promise.all(
|
||||
sourceKeys.map((source) => fetchCompareSource(source, normalizedSymbol, lookbackDays)),
|
||||
);
|
||||
|
||||
return buildStockSentimentInsights(normalizedSymbol, sources);
|
||||
}
|
||||
|
|
@ -31,6 +31,8 @@ const requiredVars = {
|
|||
|
||||
const optionalVars = {
|
||||
'FINNHUB_API_KEY': 'Legacy Finnhub key (deprecated, use NEXT_PUBLIC_FINNHUB_API_KEY)',
|
||||
'ADANOS_API_KEY': 'Optional Adanos API key for stock sentiment insights',
|
||||
'ADANOS_API_BASE_URL': 'Optional Adanos API base URL override',
|
||||
};
|
||||
|
||||
console.log('🔍 Checking Environment Variables...\n');
|
||||
|
|
@ -109,4 +111,3 @@ function maskValue(value) {
|
|||
}
|
||||
return value.substring(0, 4) + '***' + value.substring(value.length - 4);
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue