+
+---
+
+## 🌐 Nifty50 AI Trading Dashboard (Web Frontend)
+
+A modern, feature-rich web dashboard for TradingAgents, specifically built for **Indian Nifty 50 stocks**. This dashboard provides a complete visual interface for AI-powered stock analysis with full transparency into the multi-agent decision process.
+
+### 🚀 Quick Start
+
+```bash
+# Start the backend server
+cd frontend/backend
+pip install -r requirements.txt
+python server.py # Runs on http://localhost:8001
+
+# Start the frontend (in a new terminal)
+cd frontend
+npm install
+npm run dev # Runs on http://localhost:5173
+```
+
+### ✨ Key Features
+
+#### Dashboard - AI Recommendations at a Glance
+View all 50 Nifty stocks with AI recommendations, top picks, stocks to avoid, and one-click bulk analysis.
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+
{line}
; + })} ++ {metrics.correct_predictions} correct out of {metrics.total_predictions} predictions +
++ Accuracy = (Correct Predictions / Total Predictions) × 100 +
++ = ({metrics.correct_predictions} / {metrics.total_predictions}) × 100 = {(metrics.success_rate * 100).toFixed(1)}% +
++ A BUY prediction is correct if the stock price increased after the recommendation +
++ A SELL prediction is correct if the stock price decreased after the recommendation +
++ A HOLD prediction is correct if the stock price stayed relatively stable (±2% range) +
++ Note: Past performance does not guarantee future results. + Accuracy metrics are based on historical data and are for educational purposes only. + Market conditions can change rapidly and predictions may not hold in future periods. +
++ {agent.description} +
++ Multiple AI agents analyze each stock independently, then debate to reach a consensus recommendation. +
++ In real trading, gains and losses compound over time. If you start with ₹10,000: +
++ Simple average would give (2+1-1)/3 = 0.67%, but actual return is +1.99% +
++ Where r₁, r₂, ... rₙ are the daily weighted returns +
+| Date | +Return | +Multiplier | +Cumulative | +
|---|---|---|---|
| + {new Date(day.date).toLocaleDateString('en-IN', { month: 'short', day: 'numeric' })} + | += 0 ? 'text-green-600 dark:text-green-400' : 'text-red-600 dark:text-red-400' + }`}> + {day.return >= 0 ? '+' : ''}{day.return.toFixed(1)}% + | ++ ×{day.multiplier.toFixed(4)} + | += 0 ? 'text-green-600 dark:text-green-400' : 'text-red-600 dark:text-red-400' + }`}> + {day.cumulative >= 0 ? '+' : ''}{day.cumulative.toFixed(1)}% + | +
| Total | +- | ++ ×{breakdown.finalMultiplier.toFixed(4)} + | += 0 ? 'text-green-600 dark:text-green-400' : 'text-red-600 dark:text-red-400' + }`}> + {breakdown.finalReturn >= 0 ? '+' : ''}{breakdown.finalReturn.toFixed(1)}% + | +
+ Note: This compound return represents theoretical portfolio growth + if all recommendations were followed. Real trading results depend on execution, + position sizing, and market conditions. +
+| Date | +Return | +Value | +
|---|---|---|
| {day.date} | += 0 ? 'text-green-600 dark:text-green-400' : 'text-red-600 dark:text-red-400' + }`}> + {day.return >= 0 ? '+' : ''}{day.return.toFixed(1)}% + | ++ {formatCurrency(day.value)} + | +
+ Simulated returns based on AI recommendation performance. Past performance does not guarantee future results. +
++ Weighted Average Return +
++ 1. Correct Predictions → Contribute positively +
++ 2. Incorrect Predictions → Contribute negatively +
++ 3. Weighted Average +
++ Note: This weighted return represents the theoretical gain/loss + if you followed all predictions for the day. Actual results may vary based on + execution timing, transaction costs, and market conditions. +
+Configure AI models and API settings
++ Your API key is stored locally in your browser and never sent to our servers. +
+{stock.company_name}
+ {showDetails && ( ++ {new Date(label).toLocaleDateString('en-IN', { + weekday: 'short', + month: 'short', + day: 'numeric', + })} +
++ ₹{data.price.toLocaleString('en-IN', { minimumFractionDigits: 2 })} +
+ {data.prediction && ( +{value}
+{label}
+{pick.reason}
+{stock.reason}
+ View → ++ {metadata.description} +
++ {previewText} +
+{line}
+ ))} +
+ {report.report_content}
+
+ + Raw data fetched for analysis +
++ Error: {source.error_message} +
++ Data Summary: +
+
+ {typeof source.data_fetched === 'string'
+ ? source.data_fetched.slice(0, 500) + (source.data_fetched.length > 500 ? '...' : '')
+ : JSON.stringify(source.data_fetched, null, 2).slice(0, 500)}
+
+ + No data details available +
+ )} ++ Bull vs Bear Analysis with Research Manager Decision +
++ {round.content} +
+
+ {debate.full_history}
+
+ ) : (
+ No debate history available
+ )} ++ {debate.bull_arguments || 'No bull arguments recorded'} +
++ {debate.bear_arguments || 'No bear arguments recorded'} +
++ {debate.judge_decision} +
++ Aggressive vs Conservative vs Neutral with Risk Manager Decision +
++ {debate.risky_arguments || 'No arguments recorded'} +
++ {debate.neutral_arguments || 'No arguments recorded'} +
++ {debate.safe_arguments || 'No arguments recorded'} +
++ {debate.risky_arguments || 'No aggressive arguments recorded'} +
++ {debate.neutral_arguments || 'No neutral arguments recorded'} +
++ {debate.safe_arguments || 'No conservative arguments recorded'} +
++ {debate.judge_decision} +
+AI-powered stock analysis for Nifty 50
++ TradingAgents uses a team of specialized AI agents that analyze stocks from multiple perspectives, + debate their findings, and reach consensus recommendations. This multi-agent approach provides + more balanced and thoroughly reasoned analysis than any single model. +
+{feature.description}
+{item.description}
+{agent.description}
+How agents reach consensus
++ After each agent completes their analysis, they engage in a structured debate. The Technical + Analyst might argue for a BUY based on strong momentum, while the Risk Manager highlights + elevated volatility concerns. +
++ Through multiple rounds of discussion, agents refine their positions, consider counterarguments, + and ultimately reach a consensus. This process mimics how investment committees at professional + firms make decisions. +
++ The final recommendation reflects the collective intelligence of all agents, weighted by the + strength of their arguments and supporting evidence. +
++ TradingAgents provides AI-generated stock analysis for educational and informational purposes only. + These recommendations do not constitute financial advice. Always conduct your own research and consult + with a qualified financial advisor before making investment decisions. Past performance does not + guarantee future results. Investing in stocks involves risk, including potential loss of principal. +
++ {analysisProgress.failed} failed +
+ )} +{stock.company_name}
+No stocks match the selected filter.
+Browse past AI recommendations with backtest results
++ Based on {accuracyMetrics.total_predictions} predictions tracked over time +
++ Prediction accuracy over the past {dates.length} trading days +
++ Risk-adjusted performance metrics for the AI trading strategy +
++ Next-day return = Price change on the trading day after recommendation +
++ Comparison of cumulative returns between AI strategy and Nifty50 index +
++ Distribution of next-day returns across all predictions. Click bars to see stocks. +
+The stock "{symbol}" was not found in Nifty 50.
+ + Back to Dashboard + +{stock.company_name}
+No history yet
++ Data source logs will appear here when the analysis pipeline runs. + This includes information about market data, news, and fundamental data fetched. +
++ AI-generated recommendation for educational purposes only. Not financial advice. +
++ {filteredStocks.length} of {NIFTY_50_STOCKS.length} stocks +
+{stock.company_name}
+Try adjusting your search.
+ ![](\"assets/TauricResearch.png\")