Stock Market Analysis Agent

A comprehensive stock market agent that combines traditional technical analysis with AI-powered insights. The tool features a Streamlit web interface for interactive visualization and analysis.

Features

• Real-time stock data scraping from NSE India
• AI-powered stock analysis using T5 transformer model
• Interactive web interface with Streamlit
• Comprehensive technical analysis including:
  • Growth metrics
  • Valuation risks
  • Technical signals
  • Market risks
  • Investment strategies
• Interactive visualizations with Plotly
• Industry-based filtering
• Detailed performance metrics and insights

Project Structure

• main.py: Core analysis engine with AI integration
• main_streamlit.py: Web interface implementation
• scrapper.py: NSE India data scraper
• data_formatting.py: Data processing and formatting utilities
• stock_data.csv: Processed stock data
• stock_data.json: Raw stock data from NSE

Requirements

• Python 3.x
• pandas
• transformers
• torch
• streamlit
• plotly
• requests
• T5 model: "AventIQ-AI/t5-stockmarket-qa-chatbot"

Installation

1. Clone the repository:

git clone https://github.com/rk0802p/Stock_Market_Agent.git
cd Stock_Market_Agent

2. Install required packages:

pip install pandas transformers torch streamlit plotly requests

Usage

1. First, fetch the latest stock data:

python scrapper.py

2. Format the data:

python data_formatting.py

3. Launch the web interface:

streamlit run main_streamlit.py

Features in Detail

Data Collection

• Automated scraping of NIFTY 50 stock data from NSE India
• Data processing and formatting for analysis
• Support for both JSON and CSV data formats

Analysis Capabilities

• Real-time price analysis
• Technical indicators
• Performance metrics (daily, monthly, yearly)
• AI-powered insights and recommendations
• Industry-specific analysis

Visualization

• Interactive charts and graphs
• Performance comparison visualizations
• Price range analysis
• Trading activity metrics

Input Data Format

The system expects the following data fields:

• symbol
• companyName
• industry (optional)
• open
• dayHigh
• dayLow
• lastPrice
• previousClose
• change
• pChange
• yearHigh
• yearLow
• totalTradedVolume
• totalTradedValue
• perChange365d
• perChange30d

Output

The analysis provides:

• Basic company information
• Current market position
• Technical analysis
• AI-generated insights
• Performance metrics
• Investment recommendations
• Risk factors

Note

• Regular data updates are recommended for accurate analysis