Stock_Lens

Stock Data Analysis and Visualization Tools: This repository contains a Python-based toolkit for analyzing stock data and generating insightful visualizations. Key features include

Stock Data Analysis Tool

Welcome to the Stock Data Analysis Tool, codename Stock_Lens, repository! This project provides a comprehensive Python-based framework for analyzing stock market data. It offers a modular design, enabling detailed insights into various stock-related metrics and trends.

Features

• Historical Data Retrieval: Fetch stock data using the yfinance library.
• Customizable Timeframes: Analyze data for custom periods (e.g., 3m, 5y, ytd).
• Graphical Analysis:
  • Candlestick charts with volume overlays.
  • RSI (Relative Strength Index) visualization.
  • Support and resistance level identification.
  • Trading volume correlation with price movement.
• Modular Design:
  • Separate modules for graph generation, time axis control, and data parsing.
• Built for Long-Term Investment Insights: Ideal for investors seeking to identify trends and opportunities in the stock market.

Examples

Installation

1. Clone the repository:

   git clone https://github.com/your-username/stock-data-analysis-tool.git
   

Requirements

• yfinance
• matplotlib
• numpy
• datetime
• matplotlib.dates
• colorama
• scipy
• mplfinance
• matplotlib

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to enhance the tool. Ensure your code adheres to the PEP 8 standard and includes relevant documentation.