🚀 Stock Pitch AI

Advanced Financial Analysis & Automated Presentation Generator

A comprehensive stock analysis platform that combines sophisticated financial modeling with automated PowerPoint generation. Built for investors, analysts, and finance professionals who need quick, professional-grade stock pitches.

✨ Key Features

🔬 Advanced Financial Analysis

• DCF Valuation with customizable parameters
• WACC Calculations using market data
• Financial Statement Analysis with comprehensive ratios
• Risk Assessment and sensitivity analysis
• Peer Comparison and industry benchmarking

🎯 Dual Analysis Modes

• Free Mode: Advanced rule-based analysis (No API required)
• Premium Mode: AI-powered insights with OpenAI GPT

📊 Interactive Dashboard

• Real-time stock data visualization
• Interactive charts and metrics
• Customizable analysis parameters
• Professional UI with gradient designs

📎 Automated Presentations

• Professional PowerPoint generation
• Comprehensive investment thesis
• Financial charts and visualizations
• Ready-to-present format

🚀 Quick Start

Option 1: One-Click Launch

./start_app.sh

Option 2: Manual Launch

cd "/path/to/Stock Pitch Project"
source venv/bin/activate && streamlit run app.py

Open your browser to http://localhost:8501

📋 Requirements

• Python 3.8+
• Internet connection for stock data
• OpenAI API key (optional, for premium features)

🛠️ Installation

Automated Setup

git clone https://github.com/emnet-4/Stock-Pitch-AI.git
cd "Stock Pitch Project"
chmod +x setup.sh
./setup.sh

Manual Setup

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

💡 How to Use

1. Launch the Application

   • Use the one-click launcher or terminal commands
   • Navigate to http://localhost:8501

2. Select Analysis Mode

   • Professional: Advanced financial analysis (FREE)
   • Premium: AI-powered insights (requires OpenAI API key)

3. Enter Stock Symbol

   • Type any valid stock ticker (e.g., AAPL, MSFT, GOOGL)

4. Customize Parameters

   • Adjust DCF projection years
   • Set risk-free rate and market risk premium
   • Configure analysis depth

5. Generate Analysis

   • Click "Generate Comprehensive Analysis"
   • Review results in interactive tabs

6. Download Presentation

   • Generate professional PowerPoint
   • Download for immediate use

🔧 Technical Architecture

Core Components

• Financial Calculator: Advanced valuation models
• Data Analysis Engine: Rule-based and AI-powered analysis
• Presentation Generator: Automated PowerPoint creation
• Web Interface: Interactive Streamlit dashboard

Data Sources

• Yahoo Finance: Real-time stock data
• Financial Statements: Income statement, balance sheet, cash flow
• Market Data: Price history, volatility, beta calculations

Analysis Methods

• DCF Modeling: Discounted cash flow valuation
• WACC Calculation: Weighted average cost of capital
• Ratio Analysis: Profitability, liquidity, efficiency metrics
• Risk Assessment: Beta, volatility, sensitivity analysis

📊 Analysis Output

Executive Summary

• Company overview and investment thesis
• Key financial highlights
• Valuation summary and recommendation

Financial Analysis

• Revenue and profitability trends
• Balance sheet strength
• Cash flow analysis
• Financial ratios and benchmarks

Valuation

• DCF model with detailed assumptions
• Multiple valuation approaches
• Sensitivity analysis
• Upside/downside scenarios

Risk Analysis

• Business and financial risks
• Market and competitive risks
• Regulatory and operational risks
• Risk mitigation strategies

🎨 UI Features

Modern Design

• Gradient color schemes
• Professional card layouts
• Interactive metrics display
• Responsive design

Enhanced UX

• Real-time data loading
• Progress indicators
• Error handling
• Intuitive navigation

Custom Styling

• Unique visual identity
• Professional color palette
• Consistent typography
• Polished animations

🔐 Security & Privacy

• No data storage or logging
• Secure API key handling
• Local processing only
• No external data sharing

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

📄 License

MIT License - see LICENSE file for details.

🆘 Support

Common Issues

• Port busy: Streamlit auto-selects available ports
• Module errors: Ensure virtual environment is activated
• API limits: Check OpenAI API key and usage limits

Troubleshooting

# Check installation
ls -la app.py start_app.sh venv/

# Verify dependencies
source venv/bin/activate
pip list | grep -E "(streamlit|yfinance|openai)"

# Test basic functionality
python -c "import streamlit; print('✅ Streamlit OK')"

📁 Project Structure

Stock Pitch AI/
├── app.py                 # Main application (Streamlit interface)
├── requirements.txt       # Python dependencies
├── start_app.sh          # One-click launcher
├── setup.sh              # Environment setup script
├── .env.template         # Environment variables template
├── src/                  # Source code modules
│   ├── data_analysis/    # Financial analysis engines
│   ├── presentation/     # PowerPoint generation
│   └── utils/           # Configuration and logging
├── tests/               # Unit tests
├── logs/                # Application logs
└── output/              # Generated presentations

🎯 Future Enhancements

• Options pricing models
• Monte Carlo simulations
• ESG scoring integration
• Multi-currency support
• Custom report templates
• API endpoint for integration

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**Built for fun. Finace Bros it might not be accurate !!