InvestorsMind

AI-powered Fear & Greed Index Analysis System for Stock Investment

📊 Project Overview

InvestorsMind is an AI system that calculates and analyzes the Fear & Greed Index for stocks. It combines quantitative analysis with investment sentiment analysis to provide comprehensive market psychology indicators.

🚀 Key Features

1. Fear & Greed Index Calculation

• Quantitative Analysis: Market momentum, stock price strength, bond-stock returns, option ratios, CNN Fear & Greed Index
• Investment Sentiment Analysis: Sentiment analysis through news articles and Reddit posts
• Composite Score: Weighted average of quantitative and sentiment analysis

2. AI Agent

• Korean language interface
• Real-time index calculation
• Detailed analysis explanations
• Weight adjustment functionality

3. Evaluation Reports

• Detailed analysis reports in JSON format
• Historical data tracking
• Data storage for AI analysis

🛠️ Installation & Setup

1. Environment Setup

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # macOS/Linux
# .venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt

2. Environment Variables

Create a .env file and add:

CLOVA_API_KEY=your_clova_api_key
GOOGLE_SEARCH_KEY=your_google_search_key
GOOGLE_SEARCH_ENGINE=your_search_engine_id

3. Execution

# Run AI agent
python ai_agent.py

# Run individual analysis
python numerical_data_analysis.py
python text_sentiment_analysis.py

📈 Usage

AI Agent Commands

calculate AAPL          # Calculate Fear & Greed Index for AAPL
analyze AAPL What does the momentum score mean?  # Analyze specific questions
current_weights         # Check current weights
alter_weights Please increase CNN weight  # Adjust weights
quit                    # Exit

Example Output

📈 AAPL Fear & Greed Index: 75/100
📊 Quantitative Analysis Score: 72/100
📰 Investment Sentiment Score: 78/100
🎯 Interpretation: Extreme Greed - Market may be overvalued

📁 Project Structure

InvestorsMind/
├── ai_agent.py                 # AI Agent (main interface)
├── numerical_data_analysis.py  # Quantitative analysis module
├── text_sentiment_analysis.py  # Investment sentiment analysis module
├── evaluations/                # Analysis report repository
├── assets/                     # Collected data repository
└── README.md                   # Project documentation

🔧 Tech Stack

• Python 3.12
• yfinance: Stock data collection
• Selenium: Web scraping
• CLOVA Studio: LLM analysis
• Pandas/NumPy: Data processing
• BeautifulSoup: HTML parsing

📊 Analysis Components

Quantitative Analysis (50%)

• Market Momentum (20%): Price momentum relative to moving averages
• Stock Price Strength (20%): Position relative to 52-week high/low
• Bond-Stock Returns (20%): Corporate bond vs stock return comparison
• Option Ratio (20%): Put/Call volume ratio
• CNN Fear & Greed (20%): CNN market psychology index

Investment Sentiment Analysis (50%)

• News Articles: Analysis of related news from the past 5 days
• Reddit Posts: Investor community sentiment analysis
• LLM Analysis: AI-powered sentiment score calculation

🤖 AI Analysis Features

• Real-time Calculation: Instant Fear & Greed Index calculation
• Detailed Explanations: Analysis of meaning and impact of each component
• Weight Adjustment: Analysis weight adjustment based on user feedback
• Historical Data: Reference and comparison with previous analysis results

📝 License

MIT License

🤝 Contributing

Issue reports and pull requests are welcome.

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InvestorsMind - AI-powered market psychology analysis for better investment decisions