FinancialPlatform / README.md
Dmitry Beresnev
fix dockerfile
4257ee1
metadata
title: FinancialPlatform
emoji: πŸ“ˆ
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

πŸ“ˆ 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

β‚Ώ Cryptocurrency (Coming Soon)

  • Real-time cryptocurrency prices
  • Market cap and 24h volume
  • Technical indicators for crypto assets
  • TradingView crypto charts

πŸ’± Forex Trading (Coming Soon)

  • Foreign exchange rate analysis
  • Major, minor, and exotic pairs
  • Pip calculator
  • Economic calendar integration

πŸ” Market Screener (Coming Soon)

  • Multi-criteria filtering
  • Technical pattern recognition
  • Sort by volume, price change, RSI
  • Export results to CSV

πŸ“° News & AI Dashboard βœ… LIVE

  • 23 Premium Sources across 4 tiers for comprehensive coverage
    • Tier 1: Bloomberg (Γ—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 Γ— engagement Γ— 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:
git clone <repository-url>
cd FinancialPlatform
  1. Install dependencies:
pip install -r requirements.txt
  1. Create a .env file based on .env.example:
cp .env.example .env
  1. 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:

streamlit run app/app.py

The application will open in your default web browser at http://localhost:8501.

Project Structure

FinancialPlatform/
β”œβ”€β”€ app/
β”‚   β”œβ”€β”€ app.py                      # Main landing page
β”‚   β”œβ”€β”€ pages/
β”‚   β”‚   β”œβ”€β”€ 01_Stocks.py           # Stock analysis page
β”‚   β”‚   β”œβ”€β”€ 02_Crypto.py           # Cryptocurrency analysis
β”‚   β”‚   β”œβ”€β”€ 03_Forex.py            # Forex analysis
β”‚   β”‚   β”œβ”€β”€ 04_Screener.py         # Market screener
β”‚   β”‚   └── 05_Dashboard.py        # News & AI dashboard
β”‚   β”œβ”€β”€ components/
β”‚   β”‚   β”œβ”€β”€ chart.py               # Chart creation utilities
β”‚   β”‚   β”œβ”€β”€ data_sources.py        # Data fetching functions
β”‚   β”‚   β”œβ”€β”€ ui.py                  # UI component functions
β”‚   β”‚   └── styles.py              # Dark theme CSS
β”‚   └── utils/
β”‚       β”œβ”€β”€ config.py              # Configuration management
β”‚       └── formatters.py          # Data formatting utilities
β”œβ”€β”€ requirements.txt
β”œβ”€β”€ .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:

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