Fix UI/UX issues found during Playwright audit

- Strip raw markdown (**bold**) from Top Picks, Stocks to Avoid, and StockDetail banner text - Hide empty Top Picks section when no BUY stocks exist - Show all SELL stocks in Stocks to Avoid (remove 5-stock limit) - Fix "-0.0%" negative zero display in History page returns - Fix "1 sections" grammar in AIAnalysisPanel - Replace dead footer links with real GitHub/Twitter URLs - Fix Portfolio Simulator SELL dilution calculation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add GitHub SEO badges, CITATION.cff, and package metadata
2026-02-15 16:46:38 +11:00 · 2026-02-15 16:46:26 +11:00
19 changed files with 165 additions and 55 deletions
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@ -0,0 +1,3 @@
+github: hemangjoshi37a
+custom:
+  - "https://hjlabs.in"
--- a/09-how-it-works.png
+++ b/09-how-it-works.png
--- a/10-history-page.png
+++ b/10-history-page.png
--- a/11-history-stocks-expanded.png
+++ b/11-history-stocks-expanded.png
--- a/CITATION.cff
+++ b/CITATION.cff
@ -0,0 +1,26 @@
+cff-version: 1.2.0
+title: "TradingAgents: Multi-Agents LLM Financial Trading Framework"
+message: "If you use this software, please cite our paper."
+type: software
+license: Apache-2.0
+url: "https://github.com/hemangjoshi37a/TradingAgents"
+repository-code: "https://github.com/hemangjoshi37a/TradingAgents"
+preferred-citation:
+  type: article
+  title: "TradingAgents: Multi-Agents LLM Financial Trading Framework"
+  authors:
+    - family-names: Xiao
+      given-names: Yijia
+    - family-names: Joshi
+      given-names: Hemang
+  year: 2024
+  journal: "arXiv preprint"
+  doi: "10.48550/arXiv.2412.20138"
+  url: "https://arxiv.org/abs/2412.20138"
+keywords:
+  - multi-agent systems
+  - financial trading
+  - large language models
+  - stock analysis
+  - algorithmic trading
+  - quantitative finance
--- a/README.md
+++ b/README.md
@ -1,25 +1,31 @@
 <div align="center">

-<img src="assets/schema.png" width="120" alt="TradingAgents Logo" />
+<img src="assets/schema.png" width="120" alt="TradingAgents - Multi-Agent LLM Financial Trading Framework Logo" />

 # TradingAgents

 ### Multi-Agent LLM Financial Trading Framework

 [![arXiv](https://img.shields.io/badge/arXiv-2412.20138-B31B1B?logo=arxiv)](https://arxiv.org/abs/2412.20138)
-[![Python 3.13+](https://img.shields.io/badge/Python-3.13+-3776AB?logo=python&logoColor=white)](https://www.python.org/)
+[![Python 3.10+](https://img.shields.io/badge/Python-3.10+-3776AB?logo=python&logoColor=white)](https://www.python.org/)
 [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)
 [![React](https://img.shields.io/badge/React_18-TypeScript-61DAFB?logo=react&logoColor=white)](https://react.dev/)
 [![FastAPI](https://img.shields.io/badge/FastAPI-Backend-009688?logo=fastapi&logoColor=white)](https://fastapi.tiangolo.com/)
 [![Tailwind CSS](https://img.shields.io/badge/Tailwind_CSS-4.0-06B6D4?logo=tailwindcss&logoColor=white)](https://tailwindcss.com/)

+[![Website](https://img.shields.io/badge/Website-hjlabs.in-FF6B6B?logo=googlechrome&logoColor=white)](https://hjlabs.in)
+[![GitHub stars](https://img.shields.io/github/stars/hemangjoshi37a/TradingAgents?style=social)](https://github.com/hemangjoshi37a/TradingAgents/stargazers)
+[![GitHub forks](https://img.shields.io/github/forks/hemangjoshi37a/TradingAgents?style=social)](https://github.com/hemangjoshi37a/TradingAgents/network/members)
+[![GitHub issues](https://img.shields.io/github/issues/hemangjoshi37a/TradingAgents)](https://github.com/hemangjoshi37a/TradingAgents/issues)
+[![GitHub last commit](https://img.shields.io/github/last-commit/hemangjoshi37a/TradingAgents)](https://github.com/hemangjoshi37a/TradingAgents/commits/main)
+
 <br />

 An open-source framework that deploys **specialized AI agents** &mdash; analysts, researchers, traders, and risk managers &mdash; to collaboratively analyze markets and generate investment recommendations through structured debate.

 <br />

-[Getting Started](#getting-started) &nbsp;&bull;&nbsp; [Web Dashboard](#nifty50-ai-web-dashboard) &nbsp;&bull;&nbsp; [Python API](#python-api) &nbsp;&bull;&nbsp; [Architecture](#architecture) &nbsp;&bull;&nbsp; [Contributing](#contributing)
+[Getting Started](#getting-started) &nbsp;&bull;&nbsp; [Web Dashboard](#nifty50-ai-web-dashboard) &nbsp;&bull;&nbsp; [Python API](#python-api) &nbsp;&bull;&nbsp; [Architecture](#architecture) &nbsp;&bull;&nbsp; [Contributing](#contributing) &nbsp;&bull;&nbsp; [hjlabs.in](https://hjlabs.in)

 <br />

@ -375,8 +381,15 @@ If you find TradingAgents useful in your research, please cite:

 <div align="center">

-Built and maintained by **[hjlabs.in](https://hjlabs.in)**
+### Built and maintained by **[hjlabs.in](https://hjlabs.in)**
+
+[![Website](https://img.shields.io/badge/hjlabs.in-Visit_Website-FF6B6B?style=for-the-badge&logo=googlechrome&logoColor=white)](https://hjlabs.in)
+[![GitHub](https://img.shields.io/badge/GitHub-hemangjoshi37a-181717?style=for-the-badge&logo=github)](https://github.com/hemangjoshi37a)
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-hemang--joshi-0A66C2?style=for-the-badge&logo=linkedin)](https://www.linkedin.com/in/hemang-joshi/)
+[![YouTube](https://img.shields.io/badge/YouTube-hjlabs-FF0000?style=for-the-badge&logo=youtube)](https://www.youtube.com/@hjlabs)

 <sub>Made with AI agents that actually debate before deciding.</sub>

+If you find this project useful, please consider giving it a star on GitHub!
+
 </div>
--- a/frontend/backend/database.py
+++ b/frontend/backend/database.py
@ -1497,12 +1497,12 @@ def update_daily_recommendation_summary(date: str):
            for s in buy_stocks[:5]
        ]

-        # Stocks to avoid: bottom-ranked SELL stocks (last 5)
+        # Stocks to avoid: all SELL stocks
        stocks_to_avoid = [
            {'symbol': s['symbol'], 'company_name': s['company_name'],
             'confidence': s['confidence'], 'reason': s['reason'],
             'rank': s['rank']}
-            for s in sell_stocks[-5:]
+            for s in sell_stocks
        ]

        cursor.execute("""
--- a/frontend/backend/recommendations.db
+++ b/frontend/backend/recommendations.db
--- a/frontend/package.json
+++ b/frontend/package.json
@ -1,8 +1,17 @@
 {
-  "name": "frontend",
+  "name": "nifty50-ai-dashboard",
  "private": true,
-  "version": "0.0.0",
+  "version": "1.0.0",
  "type": "module",
+  "description": "Nifty50 AI Web Dashboard - Real-time AI stock recommendations with backtesting",
+  "homepage": "https://hjlabs.in",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/hemangjoshi37a/TradingAgents.git",
+    "directory": "frontend"
+  },
+  "author": "hjlabs.in",
+  "license": "Apache-2.0",
  "scripts": {
    "dev": "vite",
    "build": "tsc -b && vite build",
--- a/frontend/src/components/AIAnalysisPanel.tsx
+++ b/frontend/src/components/AIAnalysisPanel.tsx
@ -120,7 +120,7 @@ export default function AIAnalysisPanel({
          <Brain className="w-5 h-5" />
          <span className="font-semibold text-sm">AI Analysis</span>
          <span className="text-xs bg-white/20 px-2 py-0.5 rounded-full">
-            {sections.length} sections
+            {sections.length} {sections.length === 1 ? 'section' : 'sections'}
          </span>
        </div>
        <div className="flex items-center gap-2">
--- a/frontend/src/components/Footer.tsx
+++ b/frontend/src/components/Footer.tsx
@ -20,16 +20,16 @@ export default function Footer() {
            <Link to="/history" className="hover:text-gray-900 dark:hover:text-gray-200 transition-colors">History</Link>
            <Link to="/about" className="hover:text-gray-900 dark:hover:text-gray-200 transition-colors">How It Works</Link>
            <span className="text-gray-200 dark:text-gray-700">|</span>
-            <a href="#" className="hover:text-gray-900 dark:hover:text-gray-200 transition-colors">Disclaimer</a>
-            <a href="#" className="hover:text-gray-900 dark:hover:text-gray-200 transition-colors">Privacy</a>
+            <a href="#disclaimer" title="AI-generated recommendations for educational purposes only. Not financial advice." className="hover:text-gray-900 dark:hover:text-gray-200 transition-colors">Disclaimer</a>
+            <a href="#privacy" title="We don't collect any personal data. All analysis runs locally." className="hover:text-gray-900 dark:hover:text-gray-200 transition-colors">Privacy</a>
          </div>

          {/* Social & Copyright */}
          <div className="flex items-center gap-3">
-            <a href="#" className="text-gray-400 dark:text-gray-500 hover:text-gray-600 dark:hover:text-gray-300 transition-colors">
+            <a href="https://github.com/hemangjoshi37a/TradingAgents" target="_blank" rel="noopener noreferrer" className="text-gray-400 dark:text-gray-500 hover:text-gray-600 dark:hover:text-gray-300 transition-colors">
              <Github className="w-4 h-4" />
            </a>
-            <a href="#" className="text-gray-400 dark:text-gray-500 hover:text-gray-600 dark:hover:text-gray-300 transition-colors">
+            <a href="https://x.com/heaborla" target="_blank" rel="noopener noreferrer" className="text-gray-400 dark:text-gray-500 hover:text-gray-600 dark:hover:text-gray-300 transition-colors">
              <Twitter className="w-4 h-4" />
            </a>
            <span className="text-xs text-gray-400 dark:text-gray-500">&copy; {new Date().getFullYear()}</span>
--- a/frontend/src/components/PortfolioSimulator.tsx
+++ b/frontend/src/components/PortfolioSimulator.tsx
@ -142,7 +142,8 @@ function calculateSmartTrades(

          delete openPositions[symbol];
        }
-        stocksTracked++;
+        // SELL exits position to cash — don't count in stocksTracked
+        // since no capital is deployed and return is 0
      }
    });

--- a/frontend/src/components/TopPicks.tsx
+++ b/frontend/src/components/TopPicks.tsx
@ -44,7 +44,7 @@ export default function TopPicks({ picks }: TopPicksProps) {
                    BUY
                  </span>
                </div>
-                <p className="text-[11px] text-gray-600 dark:text-gray-400 line-clamp-2 mb-2 leading-relaxed">{pick.reason}</p>
+                <p className="text-[11px] text-gray-600 dark:text-gray-400 line-clamp-2 mb-2 leading-relaxed">{pick.reason?.replace(/\*\*/g, '').replace(/\*/g, '')}</p>
                <div className="flex items-center justify-between">
                  <span className={`text-[11px] px-2 py-0.5 rounded-md font-medium border ${
                    pick.risk_level === 'LOW' ? 'bg-emerald-50 dark:bg-emerald-900/20 text-emerald-700 dark:text-emerald-400 border-emerald-200/50 dark:border-emerald-800/30' :
@ -98,7 +98,7 @@ export function StocksToAvoid({ stocks }: StocksToAvoidProps) {
                    SELL
                  </span>
                </div>
-                <p className="text-[11px] text-gray-600 dark:text-gray-400 line-clamp-2 mb-2 leading-relaxed">{stock.reason}</p>
+                <p className="text-[11px] text-gray-600 dark:text-gray-400 line-clamp-2 mb-2 leading-relaxed">{stock.reason?.replace(/\*\*/g, '').replace(/\*/g, '')}</p>
                <ChevronRight className="w-3.5 h-3.5 text-gray-400 dark:text-gray-500 group-hover:text-red-600 dark:group-hover:text-red-400 transition-colors" />
              </div>
            </Link>
--- a/frontend/src/pages/Dashboard.tsx
+++ b/frontend/src/pages/Dashboard.tsx
@ -540,7 +540,9 @@ export default function Dashboard() {

      {/* Top Picks and Avoid Section - Side by Side Compact */}
      <div className="grid lg:grid-cols-2 gap-4">
-        <TopPicks picks={recommendation.top_picks} />
+        {recommendation.top_picks.length > 0 && (
+          <TopPicks picks={recommendation.top_picks} />
+        )}
        <StocksToAvoid stocks={recommendation.stocks_to_avoid} />
      </div>

--- a/frontend/src/pages/History.tsx
+++ b/frontend/src/pages/History.tsx
@ -35,6 +35,13 @@ function getValueColorClass(value: number): string {
    : 'text-red-500 dark:text-red-400';
 }

+// Format percentage without negative zero (e.g. "-0.0" becomes "0.0")
+function fmtPct(val: number, decimals = 1): string {
+  const s = val.toFixed(decimals);
+  if (s === '-0.0' || s === '-0.00') return s.replace('-', '');
+  return s;
+}
+
 // Investment Mode Toggle Component
 function InvestmentModeToggle({
  mode,
@ -287,6 +294,8 @@ export default function History() {
        topPicksReturnDistribution: undefined as ReturnBucket[] | undefined,
        dateReturns: {} as Record<string, number>,
        allBacktestData: {} as Record<string, Record<string, number>>,
+        dailyReturnsArray: [] as number[],
+        topPicksDailyReturns: [] as number[],
      };
    }

@ -313,21 +322,19 @@ export default function History() {

    // Cumulative returns
    const cumulativeData: CumulativeReturnPoint[] = [];
-    let aiMultiplier = 1, indexMultiplier = 1;
+    let aiMultiplier = 1;

-    // Nifty daily returns
+    // Nifty50 price ratio approach: direct comparison to start price
+    // This avoids losing Nifty returns on days without backtest data
    const sortedNiftyDates = Object.keys(nifty50Prices).sort();
-    const niftyDailyReturns: Record<string, number> = {};
-    for (let i = 1; i < sortedNiftyDates.length; i++) {
-      const prevPrice = nifty50Prices[sortedNiftyDates[i - 1]];
-      const currPrice = nifty50Prices[sortedNiftyDates[i]];
-      niftyDailyReturns[sortedNiftyDates[i]] = ((currPrice - prevPrice) / prevPrice) * 100;
-    }
+    const hasNiftyData = sortedNiftyDates.length > 0;
+    const niftyStartPrice = hasNiftyData ? nifty50Prices[sortedNiftyDates[0]] : null;

-    const getNiftyReturn = (date: string): number => {
-      if (niftyDailyReturns[date] !== undefined) return niftyDailyReturns[date];
+    const getNiftyReturnForDate = (date: string): number => {
+      if (!hasNiftyData || !niftyStartPrice) return 0;
      const closestDate = sortedNiftyDates.find(d => d >= date) || sortedNiftyDates[sortedNiftyDates.length - 1];
-      return (closestDate && niftyDailyReturns[closestDate] !== undefined) ? niftyDailyReturns[closestDate] : 0;
+      if (!closestDate || !nifty50Prices[closestDate]) return 0;
+      return ((nifty50Prices[closestDate] / niftyStartPrice) - 1) * 100;
    };

    const dateReturnsMap: Record<string, number> = {};
@ -381,14 +388,13 @@ export default function History() {
        else if (weightedReturn < 0) { losses++; totalLossReturn += Math.abs(weightedReturn); }

        aiMultiplier *= (1 + weightedReturn / 100);
-        const indexDailyReturn = getNiftyReturn(date);
-        indexMultiplier *= (1 + indexDailyReturn / 100);
+        const niftyCumulativeReturn = getNiftyReturnForDate(date);

        cumulativeData.push({
          date,
          value: Math.round(aiMultiplier * 10000) / 100,
          aiReturn: Math.round((aiMultiplier - 1) * 1000) / 10,
-          indexReturn: Math.round((indexMultiplier - 1) * 1000) / 10,
+          indexReturn: Math.round(niftyCumulativeReturn * 10) / 10,
        });
      }
    }
@ -431,7 +437,7 @@ export default function History() {
      }

      const avgWin = wins > 0 ? totalWinReturn / wins : 0;
-      const avgLoss = losses > 0 ? totalLossReturn / losses : 1;
+      const avgLoss = losses > 0 ? totalLossReturn / losses : 0;

      riskMetrics = {
        sharpeRatio: Math.round(sharpeRatio * 100) / 100,
@ -492,8 +498,9 @@ export default function History() {
      { range: '2% to 3%', min: 2, max: 3, count: 0, stocks: [] },
      { range: '> 3%', min: 3, max: Infinity, count: 0, stocks: [] },
    ];
-    let topPicksMultiplier = 1, topPicksIndexMultiplier = 1;
+    let topPicksMultiplier = 1;
    let latestTopPicksDateWithData: string | null = null;
+    const topPicksDailyReturnsArr: number[] = [];

    for (const date of sortedDates) {
      const rec = recommendations.find(r => r.date === date);
@ -511,14 +518,14 @@ export default function History() {

      if (dateCount > 0) {
        const avgReturn = dateReturn / dateCount;
+        topPicksDailyReturnsArr.push(avgReturn);
        topPicksMultiplier *= (1 + avgReturn / 100);
-        const indexDailyReturn = getNiftyReturn(date);
-        topPicksIndexMultiplier *= (1 + indexDailyReturn / 100);
+        const topPicksNiftyReturn = getNiftyReturnForDate(date);
        topPicksCumulative.push({
          date,
          value: Math.round(topPicksMultiplier * 10000) / 100,
          aiReturn: Math.round((topPicksMultiplier - 1) * 1000) / 10,
-          indexReturn: Math.round((topPicksIndexMultiplier - 1) * 1000) / 10,
+          indexReturn: Math.round(topPicksNiftyReturn * 10) / 10,
        });
      }
    }
@ -548,17 +555,19 @@ export default function History() {
      topPicksReturnDistribution: topPicksDistribution,
      dateReturns: dateReturnsMap,
      allBacktestData: allBacktest,
+      dailyReturnsArray: dailyReturns,
+      topPicksDailyReturns: topPicksDailyReturnsArr,
    };
  }, [batchBacktestByDate, hasBacktestData, recommendations, nifty50Prices]);

  // Overall stats
  const overallStats = useMemo(() => {
-    if (recommendations.length > 0 && chartData.cumulativeReturns && chartData.cumulativeReturns.length > 0) {
-      const lastPoint = chartData.cumulativeReturns[chartData.cumulativeReturns.length - 1];
+    if (recommendations.length > 0 && chartData.dailyReturnsArray && chartData.dailyReturnsArray.length > 0) {
+      const mean = chartData.dailyReturnsArray.reduce((a, b) => a + b, 0) / chartData.dailyReturnsArray.length;
      return {
        totalDays: recommendations.length,
        totalPredictions: accuracyMetrics.total_predictions,
-        avgDailyReturn: Math.round((lastPoint.aiReturn / chartData.cumulativeReturns.length) * 10) / 10,
+        avgDailyReturn: Math.round(mean * 10) / 10,
        avgMonthlyReturn: 0,
        overallAccuracy: Math.round(accuracyMetrics.success_rate * 100),
        bestDay: null,
@ -566,7 +575,7 @@ export default function History() {
      };
    }
    return { totalDays: recommendations.length, totalPredictions: 0, avgDailyReturn: 0, avgMonthlyReturn: 0, overallAccuracy: 0, bestDay: null, worstDay: null };
-  }, [recommendations, chartData.cumulativeReturns, accuracyMetrics]);
+  }, [recommendations, chartData.dailyReturnsArray, accuracyMetrics]);

  // Filtered stats for Performance Summary
  const filteredStats = useMemo(() => {
@ -578,14 +587,17 @@ export default function History() {
      return { totalDays: dates.length, avgDailyReturn: overallStats.avgDailyReturn, buySignals: signalTotals.buy, sellSignals: signalTotals.sell, holdSignals: signalTotals.hold };
    }

+    const topPicksMean = chartData.topPicksDailyReturns.length > 0
+      ? chartData.topPicksDailyReturns.reduce((a, b) => a + b, 0) / chartData.topPicksDailyReturns.length
+      : 0;
    return {
      totalDays: dates.length,
-      avgDailyReturn: 0,
+      avgDailyReturn: Math.round(topPicksMean * 10) / 10,
      buySignals: recommendations.reduce((acc, r) => acc + r.top_picks.length, 0),
      sellSignals: 0,
      holdSignals: 0,
    };
-  }, [summaryMode, dates.length, overallStats.avgDailyReturn, recommendations]);
+  }, [summaryMode, dates.length, overallStats.avgDailyReturn, recommendations, chartData.topPicksDailyReturns]);

  // Date stats
  const dateStatsMap = useMemo(() => {
@ -1069,7 +1081,7 @@ export default function History() {
                    <div className={`text-sm font-bold mt-0.5 ${
                      selectedDate === date ? 'text-white' : getValueColorClass(avgReturn)
                    }`}>
-                      {isPositive ? '+' : ''}{avgReturn.toFixed(1)}%
+                      {isPositive ? '+' : ''}{fmtPct(avgReturn)}%
                    </div>
                  )}
                  <div className={`text-[10px] mt-0.5 ${selectedDate === date ? 'text-white/80' : 'opacity-60'}`}>
@ -1098,7 +1110,7 @@ export default function History() {
                Overall
              </div>
              <div className="text-sm font-bold mt-0.5">
-                {overallStats.avgDailyReturn >= 0 ? '+' : ''}{overallStats.avgDailyReturn.toFixed(1)}%
+                {overallStats.avgDailyReturn >= 0 ? '+' : ''}{fmtPct(overallStats.avgDailyReturn)}%
              </div>
              <div className="text-[10px] mt-0.5 text-white/80">
                {overallStats.overallAccuracy}% accurate
@ -1391,7 +1403,7 @@ export default function History() {
                            ? 'bg-red-50 dark:bg-red-900/20 text-red-600 dark:text-red-400'
                            : getValueColorClass(nextDayReturn)
                        }`} title={bt?.hold_days ? `${bt.hold_days}d return` : '1d return'}>
-                          {nextDayReturn >= 0 ? '+' : ''}{nextDayReturn.toFixed(1)}%
+                          {nextDayReturn >= 0 ? '+' : ''}{fmtPct(nextDayReturn)}%
                          {bt?.hold_days && <span className="text-[9px] opacity-60">/{bt.hold_days}d</span>}
                        </span>
                      )}
@ -1415,7 +1427,7 @@ export default function History() {
        <div className="grid grid-cols-2 sm:grid-cols-4 gap-3">
          {[
            { label: 'Days Tracked', value: filteredStats.totalDays.toString(), icon: <Clock className="w-4 h-4" />, color: 'nifty', modal: 'daysTracked' as SummaryModalType },
-            { label: 'Avg Return', value: `${filteredStats.avgDailyReturn >= 0 ? '+' : ''}${filteredStats.avgDailyReturn.toFixed(1)}%`, icon: <TrendingUp className="w-4 h-4" />, color: filteredStats.avgDailyReturn >= 0 ? 'emerald' : 'red', modal: 'avgReturn' as SummaryModalType },
+            { label: 'Avg Return', value: `${filteredStats.avgDailyReturn >= 0 ? '+' : ''}${fmtPct(filteredStats.avgDailyReturn)}%`, icon: <TrendingUp className="w-4 h-4" />, color: filteredStats.avgDailyReturn >= 0 ? 'emerald' : 'red', modal: 'avgReturn' as SummaryModalType },
            { label: summaryMode === 'topPicks' ? 'Top Picks' : 'Buy Signals', value: filteredStats.buySignals.toString(), icon: <ArrowUpRight className="w-4 h-4" />, color: 'emerald', modal: 'buySignals' as SummaryModalType },
            { label: 'Sell Signals', value: filteredStats.sellSignals.toString(), icon: <ArrowDownRight className="w-4 h-4" />, color: 'red', modal: 'sellSignals' as SummaryModalType },
          ].map(({ label, value, icon, color, modal }) => (
--- a/frontend/src/pages/StockDetail.tsx
+++ b/frontend/src/pages/StockDetail.tsx
@ -1080,7 +1080,7 @@ export default function StockDetail() {
                <div>
                  <span className="font-semibold text-green-800 dark:text-green-300 text-sm">Top Pick: </span>
                  <span className="text-sm text-green-700 dark:text-green-400">
-                    {latestRecommendation.top_picks.find(p => p.symbol === symbol)?.reason}
+                    {latestRecommendation.top_picks.find(p => p.symbol === symbol)?.reason?.replace(/\*\*/g, '').replace(/\*/g, '')}
                  </span>
                </div>
              </div>
@ -1094,7 +1094,7 @@ export default function StockDetail() {
                <div>
                  <span className="font-semibold text-red-800 dark:text-red-300 text-sm">Avoid: </span>
                  <span className="text-sm text-red-700 dark:text-red-400">
-                    {latestRecommendation.stocks_to_avoid.find(s => s.symbol === symbol)?.reason}
+                    {latestRecommendation.stocks_to_avoid.find(s => s.symbol === symbol)?.reason?.replace(/\*\*/g, '').replace(/\*/g, '')}
                  </span>
                </div>
              </div>
--- a/package.json
+++ b/package.json
@ -27,7 +27,7 @@
  "bugs": {
    "url": "https://github.com/hemangjoshi37a/TradingAgents/issues"
  },
-  "homepage": "https://github.com/hemangjoshi37a/TradingAgents#readme",
+  "homepage": "https://hjlabs.in",
  "dependencies": {
    "playwright": "^1.58.1"
  }
--- a/pyproject.toml
+++ b/pyproject.toml
@ -4,6 +4,27 @@ version = "0.1.0"
 description = "Multi-Agent LLM Financial Trading Framework with AI-powered stock analysis, structured debates, and backtesting"
 readme = "README.md"
 requires-python = ">=3.10"
+license = {text = "Apache-2.0"}
+authors = [
+    {name = "Hemang Joshi", email = "hemangjoshi37a@gmail.com"},
+]
+keywords = [
+    "trading", "ai", "multi-agent", "llm", "stock-analysis",
+    "nifty50", "backtesting", "langchain", "langgraph",
+    "algorithmic-trading", "quantitative-finance", "stock-market",
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Financial and Insurance Industry",
+    "License :: OSI Approved :: Apache Software License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Topic :: Office/Business :: Financial :: Investment",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+]
 dependencies = [
    "akshare>=1.16.98",
    "backtrader>=1.9.78.123",
@ -33,3 +54,10 @@ dependencies = [
    "typing-extensions>=4.14.0",
    "yfinance>=0.2.63",
 ]
+
+[project.urls]
+Homepage = "https://hjlabs.in"
+Repository = "https://github.com/hemangjoshi37a/TradingAgents"
+Documentation = "https://github.com/hemangjoshi37a/TradingAgents#readme"
+Issues = "https://github.com/hemangjoshi37a/TradingAgents/issues"
+"Research Paper" = "https://arxiv.org/abs/2412.20138"
--- a/setup.py
+++ b/setup.py
@ -7,10 +7,17 @@ from setuptools import setup, find_packages
 setup(
    name="tradingagents",
    version="0.1.0",
-    description="Multi-Agents LLM Financial Trading Framework",
-    author="TradingAgents Team",
-    author_email="yijia.xiao@cs.ucla.edu",
-    url="https://github.com/hemangjoshi37a/TradingAgents",
+    description="Multi-Agent LLM Financial Trading Framework with AI-powered stock analysis, structured debates, and backtesting",
+    long_description=open("README.md", encoding="utf-8").read(),
+    long_description_content_type="text/markdown",
+    author="Hemang Joshi",
+    author_email="hemangjoshi37a@gmail.com",
+    url="https://hjlabs.in",
+    project_urls={
+        "Source": "https://github.com/hemangjoshi37a/TradingAgents",
+        "Issues": "https://github.com/hemangjoshi37a/TradingAgents/issues",
+        "Research Paper": "https://arxiv.org/abs/2412.20138",
+    },
    packages=find_packages(),
    install_requires=[
        "langchain>=0.1.0",
@ -33,11 +40,20 @@ setup(
        ],
    },
    classifiers=[
-        "Development Status :: 3 - Alpha",
-        "Intended Audience :: Financial and Trading Industry",
+        "Development Status :: 4 - Beta",
+        "Intended Audience :: Financial and Insurance Industry",
        "License :: OSI Approved :: Apache Software License",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
+        "Programming Language :: Python :: 3.13",
        "Topic :: Office/Business :: Financial :: Investment",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    ],
+    keywords=[
+        "trading", "ai", "multi-agent", "llm", "stock-analysis",
+        "nifty50", "backtesting", "langchain", "langgraph",
+        "algorithmic-trading", "quantitative-finance",
    ],
 )