---
title: Premium Trading Dashboard
app_file: app.py
sdk: gradio
sdk_version: 5.35.0
---

# 🚀 Premium Trading Dashboard

A comprehensive real-time trading dashboard with automated IPO discovery, sentiment analysis, and backtesting capabilities.

## ✨ Features

### 📊 Portfolio Overview
- Real-time account monitoring (portfolio value, buying power, cash)
- Interactive portfolio performance charts
- Day change tracking with visual indicators

### 🔍 IPO Discoveries
- Automated IPO detection and classification
- Investment decision analytics
- Recent discoveries with detailed breakdowns

### 💰 Investment Performance
- Complete P&L analysis for all IPO investments
- Advanced trading statistics and metrics
- Risk analysis and performance breakdowns

### 🔬 **NEW: Backtesting Analysis**
- **Sentiment-based IPO prediction backtesting**
- Tests sentiment analysis on every actual IPO investment
- Uses news from 12 hours **before** each investment
- Multi-source analysis: Reddit (WSB) + Google News
- VADER + TextBlob sentiment engines
- No data leakage - purely historical validation

### 💻 VM Terminal
- Remote command execution on trading VM
- Real-time log monitoring
- File system navigation and analysis

### 📋 System Logs
- Parsed trading bot activity logs
- Raw cron job outputs
- Color-coded error tracking

## 🧠 Sentiment Analysis Engine

The backtesting feature implements a sophisticated sentiment analysis system:

- **Data Sources**: Reddit (including WallStreetBets), Google News
- **Analysis Window**: 12 hours before each actual investment
- **Sentiment Engines**: VADER + TextBlob with engagement weighting
- **Target**: First-hour stock performance prediction
- **Validation**: Compares predictions vs actual market performance

### Methodology
1. **Historical News Gathering**: Retrieves news from 12 hours before investment
2. **Multi-source Sentiment**: Analyzes Reddit posts and Google News articles
3. **Weighted Scoring**: Engagement-based weighting for Reddit content
4. **Prediction Generation**: Converts sentiment to percentage change predictions
5. **Performance Validation**: Compares against actual first-hour stock performance

## 🔧 Technical Stack

- **Frontend**: Gradio with custom CSS styling
- **Backend**: Flask API integration with VM
- **Trading API**: Alpaca Markets (Paper Trading)
- **Data Sources**: Reddit API, Google News RSS, Yahoo Finance
- **Sentiment Analysis**: VADER, TextBlob
- **Charts**: Plotly for interactive visualizations

## 🚀 Recent Updates

- ✅ Added IPO Sentiment Analysis Backtesting
- ✅ WallStreetBets integration for Reddit sentiment
- ✅ Historical performance validation
- ✅ Multi-source sentiment aggregation
- ✅ Direction accuracy metrics

## 📈 Performance Metrics

The backtesting system tracks:
- **Direction Accuracy**: % of correct up/down predictions
- **Mean Absolute Error**: Average prediction error
- **Source Breakdown**: Performance by news source
- **Confidence Scoring**: Multi-source agreement analysis

---

**Built with ❤️ for automated IPO trading and sentiment analysis**

*Last updated: 2025-07-29 - Enhanced logging and Reddit search improvements - Force sync*