A comprehensive web application built with Streamlit for analyzing Indian stocks (NSE) with features including real-time price tracking, technical analysis, sentiment analysis, and price predictions.

• Overall Market Status

  • Real-time tracking of major indices (NIFTY, SENSEX, etc.)
  • Live intraday NIFTY chart
  • Gold and Silver prices
  • Dow Jones tracking

• Stock Analysis Tools

  • Current Price Tracking
  • Historical Price Analysis
  • Multi-stock Comparison
  • Time Series Analysis
  • Technical Indicators (SMA, RSI, MACD)
  • Fundamental Analysis
  • News Sentiment Analysis
  • Price Predictions using Machine Learning

python 3.x
yfinance
gnews
nltk
numpy
pandas
streamlit
plotly
scikit-learn
ta (Technical Analysis Library)

1. Clone the repository:

git clone https://github.com/aarohiin/Stock-Prediction-and-Analysis/tree/main
cd stock-analysis-dashboard

2. Install required packages:

pip install -r requirements.txt

1. Run the Streamlit app:

streamlit run Stock_dashboard.py

2. Navigate to the provided local URL (typically http://localhost:8501)

3. Use the sidebar to select different analysis options:

   • Overall Market Status
   • Current Price
   • Price Between Dates
   • Stock Comparison
   • Time Series Analysis
   • Fundamental Analysis
   • Prediction (Gyaani Baba)
   • Technical Analysis

• Real-time stock prices
• Latest news and sentiment analysis

• Historical price data
• Interactive line charts

• Multiple stock comparison
• Comparative price charts

• One-year historical data
• Trend visualization

• Market Cap
• PE Ratio
• Dividend Yield
• EPS
• 52-Week High/Low

• Machine learning-based price predictions
• Random Forest model
• Performance metrics
• Future price forecasts

• SMA (50 and 200 days)
• RSI Indicator
• MACD
• Interactive charts

• Stock data: Yahoo Finance (yfinance)
• News data: Google News (gnews)
• Technical Indicators: Technical Analysis Library (ta)

• The app uses caching to optimize data fetching
• Predictions are based on historical data and should not be used as the sole basis for investment decisions
• News sentiment analysis is performed using NLTK's VADER sentiment analyzer

Feel free to submit issues, fork the repository, and create pull requests for any improvements.

MIT License

Created by Aarohi

Disclaimer: This tool is for educational and research purposes only. It should not be considered as financial advice. Always do your own research before making investment decisions.