File size: 5,672 Bytes
e1338ee f7323a3 e1338ee 7ca0d9b e1338ee 5b2d07d e1338ee f7323a3 0d5d8e1 ea78511 0d5d8e1 12176df f7323a3 12176df f7323a3 12176df f7323a3 12176df f7323a3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 |
---
title: FinancialPlatform
emoji: 📈
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
license: apache-2.0
short_description: Multi-asset analysis with OpenBB and AI insights
---
# Financial Analysis Platform
A comprehensive multi-asset financial analysis platform built with Streamlit, providing real-time data, technical indicators, and AI-powered insights.
## Features
### 📈 Stock Analysis
- Real-time stock price data from OpenBB
- Technical indicators (SMA, EMA, RSI)
- Company profile and financial statements
- Revenue and net income trends
- TradingView chart integration
- Profitability metrics analysis
### ₿ Cryptocurrency (Coming Soon)
- Real-time cryptocurrency prices
- Market cap and 24h volume
- Technical indicators for crypto assets
- TradingView crypto charts
### 💱 Forex Trading (Coming Soon)
- Foreign exchange rate analysis
- Major, minor, and exotic pairs
- Pip calculator
- Economic calendar integration
### 🔍 Market Screener (Coming Soon)
- Multi-criteria filtering
- Technical pattern recognition
- Sort by volume, price change, RSI
- Export results to CSV
### 📰 News & AI Dashboard ✅ LIVE
- **23 Premium Sources** across 4 tiers for comprehensive coverage
- **Tier 1**: Bloomberg (×2), Reuters, FT, WSJ, The Economist, CNBC, MarketWatch (8 sources)
- **Tier 2**: BBC World, AFP, Al Jazeera, Politico, DW News (5 sources)
- **Tier 3**: Federal Reserve (2.0x), ECB (2.0x), Lagarde, BoE, IMF, World Bank, US Treasury (7 sources)
- **Tier 4**: Zero Hedge, First Squawk, Live Squawk (3 sources)
- **Low-latency monitoring** with 3-minute cache for trading decisions
- **Intelligent categorization**: Macro, Markets, Geopolitical
- **Professional sentiment analysis** (Positive/Negative/Neutral)
- **Weighted impact scoring**: Source credibility × engagement × recency
- **Breaking news detection** with instant alerts and priority display
- **Smart filtering** by category, sentiment, and impact level
- **Auto-refresh mode** for continuous monitoring during trading hours
- Powered by **Twikit** for real-time Twitter/X intelligence (free, no API costs)
## Installation
1. Clone the repository:
```bash
git clone <repository-url>
cd FinancialPlatform
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Create a `.env` file based on `.env.example`:
```bash
cp .env.example .env
```
4. Configure your API keys and Twitter credentials in `.env`:
```
DEEPSEEK_API_KEY=your-key-here
NEWS_SERVICE_URL=http://localhost:5000
ALPHA_VANTAGE_KEY=your-key-here
# Twitter/X Credentials (required for real-time news monitoring)
TWITTER_USERNAME=your-twitter-username
TWITTER_EMAIL=your-email@example.com
TWITTER_PASSWORD=your-password
```
**Note**: Twitter credentials are required for real-time news monitoring. Without credentials, the system will use demo/mock data.
## Usage
Run the application:
```bash
streamlit run app/app.py
```
The application will open in your default web browser at `http://localhost:8501`.
## Project Structure
```
FinancialPlatform/
├── app/
│ ├── app.py # Main landing page
│ ├── pages/
│ │ ├── 01_Stocks.py # Stock analysis page
│ │ ├── 02_Crypto.py # Cryptocurrency analysis
│ │ ├── 03_Forex.py # Forex analysis
│ │ ├── 04_Screener.py # Market screener
│ │ └── 05_Dashboard.py # News & AI dashboard
│ ├── components/
│ │ ├── chart.py # Chart creation utilities
│ │ ├── data_sources.py # Data fetching functions
│ │ ├── ui.py # UI component functions
│ │ └── styles.py # Dark theme CSS
│ └── utils/
│ ├── config.py # Configuration management
│ └── formatters.py # Data formatting utilities
├── requirements.txt
├── .env.example
└── README.md
```
## Technology Stack
- **Frontend**: Streamlit
- **Data Sources**: OpenBB SDK, yfinance
- **Charting**: Plotly, TradingView widgets
- **AI**: DeepSeek API (planned)
- **Styling**: Custom CSS with dark theme
## Features in Development
- [ ] Cryptocurrency data integration (Binance API)
- [ ] Forex data integration (Alpha Vantage)
- [ ] Market screener with advanced filters
- [ ] News aggregation service
- [ ] AI-powered trading insights
- [ ] Sentiment analysis
- [ ] Additional technical indicators (MACD, Bollinger Bands, ATR)
## Configuration
### Environment Variables
- `DEEPSEEK_API_KEY`: API key for AI-powered insights
- `NEWS_SERVICE_URL`: URL for news aggregation service
- `ALPHA_VANTAGE_KEY`: API key for forex data (optional)
### Cache Settings
Data caching is configured in `utils/config.py`:
- Price data: 1 hour TTL
- Fundamental data: 24 hours TTL
- News data: 15 minutes TTL
## Deployment
### HuggingFace Spaces
This application is optimized for deployment on HuggingFace Spaces:
1. Create a new Space on HuggingFace
2. Set the Space type to "Streamlit"
3. Add your environment variables in the Space settings:
- `DEEPSEEK_API_KEY`
- `NEWS_SERVICE_URL`
- `ALPHA_VANTAGE_KEY`
4. Push your code to the Space repository
### Local Development
For local development with hot-reload:
```bash
streamlit run app/app.py --server.runOnSave=true
```
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
Apache 2.0 License
## Acknowledgments
- OpenBB for financial data API
- TradingView for chart widgets
- Streamlit for the amazing web framework
|