https://github.com/rishi-gupta-data/data-extraction
# Stock-market Data Extraction using Python
https://github.com/rishi-gupta-data/data-extraction
data-extraction data-science python stock-market
Last synced: over 1 year ago
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# Stock-market Data Extraction using Python
- Host: GitHub
- URL: https://github.com/rishi-gupta-data/data-extraction
- Owner: Rishi-gupta-data
- License: mit
- Created: 2024-03-09T16:32:52.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-09T17:15:23.000Z (over 2 years ago)
- Last Synced: 2025-02-08T04:31:52.348Z (over 1 year ago)
- Topics: data-extraction, data-science, python, stock-market
- Language: Jupyter Notebook
- Homepage:
- Size: 491 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data-extraction
# Stock Market Data Extraction using Python
This repository provides Python scripts for extracting and analyzing stock market data from various sources, including APIs and web scraping. Whether you're a data scientist, trader, or investor, this toolkit offers tools to gather and analyze historical and real-time stock market data efficiently.
# Features
Multiple Data Sources: Extract data from popular sources like Yahoo Finance, Alpha Vantage, and more.
Historical Data: Retrieve historical stock prices, volumes, and other metrics for analysis.
Real-Time Data: Access real-time stock data to stay updated with market changes.
Customizable: Adjust parameters such as time range, frequency, and data format to suit your analysis needs.
Easy-to-Use: Simple and intuitive Python API for seamless integration into your projects.
Documentation: Comprehensive documentation and examples to get you started quickly.
Usage
Clone this Repository: Get started by cloning this repository to your local machine.
Install Dependencies: Install the required dependencies listed in requirements.txt.
Choose a Data Source: Explore the provided scripts to extract data from different sources.
Run Scripts: Execute the Python scripts to fetch, process, and analyze stock market data.
Explore Examples: Check out the provided examples and documentation to understand how to use the toolkit effectively.
# Supported Data Sources
Yahoo Finance,
Alpha Vantage,
Google Finance (deprecated),
Quandl,
And more...
# Dependencies
Python 3.x,
pandas,
requests,
yfinance,
alpha_vantage,
And other dependencies listed in requirements.txt
# Documentation
For detailed usage instructions, examples, and API reference, please refer to the documentation.
# Contributing
Contributions are welcome! If you have any ideas, bug fixes, or improvements, please submit a pull request. For major changes, please open an issue first to discuss your ideas.
# License
This project is licensed under the MIT License - see the LICENSE file for details.