Download and analyze Indian stock data
Analyze finance data and generate summaries
Analyze stock data with technical indicators
Hack CashApp for free money
Optimize stock portfolios and visualize performance
Predict loan approval based on financial data
Analyze financial news sentiment data
Predict future stock prices based on historical data
Manage and track your stock portfolio interactively
Identify key support and resistance levels in stock prices
Estimate stop-loss levels using ATR for trading strategies
Simulate European call option prices using random numbers
Simulate stock returns using a momentum strategy
Indian Stock Downloader.py is a Python script designed for downloading and analyzing Indian stock market data. It simplifies the process of obtaining historical stock data, making it accessible for researchers, analysts, and developers. Whether you're working on financial analysis, algorithmic trading, or academic research, this tool helps you efficiently retrieve and manage stock data.
• Stock Data Download: Easily download historical stock data from India's premier stock exchanges, including NSE (National Stock Exchange) and BSE (Bombay Stock Exchange).
• Customizable Parameters: Specify timeframes, intervals, and other criteria to fetch data tailored to your needs.
• Support for Multiple Exchanges: Access data from both NSE and BSE, ensuring comprehensive coverage of the Indian stock market.
• Formatted Output: Data is exported in CSV format, making it easy to integrate with Excel, pandas, or other data analysis tools.
• Efficient Data Handling: Built-in functionality to manage large datasets and avoid redundant downloads.
git clone or directly from the repository link.pip install -r requirements.txt to install necessary libraries.python Indian_Stock_Downloader.py.1. What data sources does Indian Stock Downloader.py use?
Indian Stock Downloader.py primarily uses publicly available APIs from NSE and BSE to fetch stock data.
2. Can I download data for multiple stocks at once?
Yes, you can modify the script to download data for multiple stocks by specifying a list of tickers.
3. How do I handle large datasets?
The script includes features to break data into chunks or use pagination to manage and download large datasets efficiently.