A newer version of the Gradio SDK is available:
6.3.0
metadata
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
- Historical News Gathering: Retrieves news from 12 hours before investment
- Multi-source Sentiment: Analyzes Reddit posts and Google News articles
- Weighted Scoring: Engagement-based weighting for Reddit content
- Prediction Generation: Converts sentiment to percentage change predictions
- 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