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--- |
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title: Premium Trading Dashboard |
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app_file: app.py |
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sdk: gradio |
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sdk_version: 5.35.0 |
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--- |
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# 🚀 Premium Trading Dashboard |
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A comprehensive real-time trading dashboard with automated IPO discovery, sentiment analysis, and backtesting capabilities. |
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## ✨ Features |
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### 📊 Portfolio Overview |
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- Real-time account monitoring (portfolio value, buying power, cash) |
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- Interactive portfolio performance charts |
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- Day change tracking with visual indicators |
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### 🔍 IPO Discoveries |
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- Automated IPO detection and classification |
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- Investment decision analytics |
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- Recent discoveries with detailed breakdowns |
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### 💰 Investment Performance |
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- Complete P&L analysis for all IPO investments |
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- Advanced trading statistics and metrics |
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- Risk analysis and performance breakdowns |
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### 🔬 **NEW: Backtesting Analysis** |
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- **Sentiment-based IPO prediction backtesting** |
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- Tests sentiment analysis on every actual IPO investment |
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- Uses news from 12 hours **before** each investment |
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- Multi-source analysis: Reddit (WSB) + Google News |
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- VADER + TextBlob sentiment engines |
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- No data leakage - purely historical validation |
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### 💻 VM Terminal |
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- Remote command execution on trading VM |
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- Real-time log monitoring |
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- File system navigation and analysis |
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### 📋 System Logs |
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- Parsed trading bot activity logs |
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- Raw cron job outputs |
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- Color-coded error tracking |
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## 🧠 Sentiment Analysis Engine |
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The backtesting feature implements a sophisticated sentiment analysis system: |
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- **Data Sources**: Reddit (including WallStreetBets), Google News |
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- **Analysis Window**: 12 hours before each actual investment |
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- **Sentiment Engines**: VADER + TextBlob with engagement weighting |
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- **Target**: First-hour stock performance prediction |
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- **Validation**: Compares predictions vs actual market performance |
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### Methodology |
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1. **Historical News Gathering**: Retrieves news from 12 hours before investment |
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2. **Multi-source Sentiment**: Analyzes Reddit posts and Google News articles |
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3. **Weighted Scoring**: Engagement-based weighting for Reddit content |
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4. **Prediction Generation**: Converts sentiment to percentage change predictions |
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5. **Performance Validation**: Compares against actual first-hour stock performance |
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## 🔧 Technical Stack |
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- **Frontend**: Gradio with custom CSS styling |
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- **Backend**: Flask API integration with VM |
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- **Trading API**: Alpaca Markets (Paper Trading) |
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- **Data Sources**: Reddit API, Google News RSS, Yahoo Finance |
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- **Sentiment Analysis**: VADER, TextBlob |
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- **Charts**: Plotly for interactive visualizations |
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## 🚀 Recent Updates |
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- ✅ Added IPO Sentiment Analysis Backtesting |
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- ✅ WallStreetBets integration for Reddit sentiment |
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- ✅ Historical performance validation |
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- ✅ Multi-source sentiment aggregation |
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- ✅ Direction accuracy metrics |
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## 📈 Performance Metrics |
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The backtesting system tracks: |
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- **Direction Accuracy**: % of correct up/down predictions |
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- **Mean Absolute Error**: Average prediction error |
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- **Source Breakdown**: Performance by news source |
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- **Confidence Scoring**: Multi-source agreement analysis |
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--- |
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**Built with ❤️ for automated IPO trading and sentiment analysis** |
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*Last updated: 2025-07-29 - Enhanced logging and Reddit search improvements - Force sync* |
