📊 Stock Scoring System

Link to deployed app: https://stockscoring.streamlit.app/

A rule and weight-based system for stock scoring that evaluates stocks based on fundamental, technical, risk, and other parameters. The system assigns a score between 0 and 1, where:
✅ Score ≥ 0.5 → Good for Buying
❌ Score < 0.5 → Good for Short Selling

This project is built using Streamlit for the UI and managed with Poetry for dependency management.

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🖼️ UI Preview

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🚀 How It Works

1. Enter stock symbols in the UI.
2. The system fetches stock data and evaluates fundamental ratios.
3. A credit score is calculated based on predefined rules and assigned weights.
4. The UI displays:
   • Stock Score
   • Fundamental Ratio (Good/Bad)
   • Buy/Sell Recommendation

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📦 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/your-username/credit-scoring.git
cd credit-scoring

2️⃣ Install Poetry & Dependencies

# Initialize Poetry (if not already initialized)
poetry init  

# Install dependencies from lock file
poetry install  

# If updating dependencies
poetry lock  

3️⃣ Run the Application

streamlit run main.py

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📊 Scoring Methodology

Parameter	Weight
Fundamental Analysis	40%
Technical Indicators	30%
Risk Factors	20%
Other Factors	10%

The final score is computed using a weighted sum of these factors.

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🛠️ Technologies Used

• Python (Data Processing)
• Streamlit (UI)
• Poetry (Dependency Management)
• Pandas, NumPy (Data Handling)

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📌 Future Improvements

• Integrate AI-based scoring
• Expand fundamental & technical indicators
• Agentic AI, RAG

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📩 Contributions & Issues

Feel free to open an issue or submit a PR to improve this project! 🚀