Update README.md

README.md

@@ -1,4 +1,15 @@
-# Ahsan's AI Stock Analysis Dashboard
+---
+title: Ahsan's AI Stock Dashboard
+emoji: 📈
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.28.0
+app_file: app.py
+pinned: false
+---
+
+# 📈 Ahsan's AI Stock Analysis Dashboard
 
 ## 🚀 Live Portfolio Management & AI Recommendations
 
@@ -7,30 +18,39 @@
 - AI-powered buy/sell/hold recommendations
 - Risk assessment and 7-day action plan
 - Interactive trading interface
-- Sector analysis and performance charts
+- Performance charts and analytics
 
 ### 🎯 Key Recommendations
-1. **SELL NOW**: OCEA, KUST, MLGO, BNN
-2. **BUY MORE**: IRWD, HEIO, DB
-3. **HOLD**: ATYR, DOW, XLY
+1. **🔴 SELL NOW**: OCEA (-99.07%), KUST (-92.32%), MLGO (-87.26%), BNN (-99.96%)
+2. **🟢 BUY MORE**: IRWD (+542.70%), HEIO (+48.67%), DB (+41.94%)
+3. **🟡 HOLD**: ATYR (-2.49%), DOW (+3.88%), XLY (+70.99%)
+
+### 📈 Portfolio Stats
+- **Total Value**: $9,485.94
+- **Total Return**: -$9,328.80 (-49.57%)
+- **Positions**: 39 (7 winning, 31 losing)
+- **Risk Level**: High (85/100)
 
 ### 🔧 Technology Stack
-- HTML5, CSS3, JavaScript
-- Chart.js for visualizations
+- Python with Streamlit
+- Pandas for data analysis
+- Plotly for interactive charts
 - AI-powered analysis algorithms
-- Real-time data simulation
-
-### 📈 Portfolio Stats
-- Total Value: $9,485.94
-- Total Return: -$9,328.80 (-49.57%)
-- Positions: 39 (7 winning, 31 losing)
-- Risk Level: High (85/100)
 
 ## 🚀 Quick Start
-1. Open `index.html` in any browser
-2. Click "SELL LOSERS" to execute AI recommendations
-3. Follow the 7-day action plan
-4. Monitor real-time updates
 
-## 📞 Support
-For issues or questions, please contact your AI trading assistant.
+### Option 1: Use Online (Recommended)
+1. Visit the live dashboard on Hugging Face
+2. No installation required
+3. Works on all devices
+
+### Option 2: Run Locally
+```bash
+# 1. Clone repository
+git clone https://huggingface.co/spaces/[your-username]/ahsan-stock-dashboard
+
+# 2. Install dependencies
+pip install -r requirements.txt
+
+# 3. Run the app
+streamlit run app.py