Stock Analyzer

The stockAnalyzer.py script is a Python-based application for analyzing stock data. It provides a graphical user interface (GUI) for fetching, processing, and visualizing stock data, including technical indicators such as Moving Averages, Bollinger Bands, MACD, RSI, and Stochastic Oscillator.

Features

• Stock Watchlist Management: Add, remove, and manage a list of stock tickers.
• Data Fetching: Fetch historical stock data from Yahoo Finance using the yfinance library.
• Technical Indicators:
  • Simple Moving Averages (SMA)
  • Bollinger Bands
  • MACD (Moving Average Convergence Divergence)
  • RSI (Relative Strength Index)
  • Stochastic Oscillator
• Charting: Generate candlestick charts with overlays for technical indicators using mplfinance.
• Company Information: Display detailed company information, including market cap, P/E ratio, dividend yield, and more.
• Data Caching: Save and load stock data locally in Parquet format to reduce redundant API calls.
• Customizable Timeframes: Analyze data for a user-defined number of years (1–20 years).

Requirements

• Python 3.13 (did not test with 3.14 or higher)
• Required Python libraries:
  • datetime
  • pandas
  • matplotlib
  • mplfinance
  • yfinance
  • tkinter (built-in with Python)
  • threading
  • typing
  • curl_cffi (for handling rate limits in yfinance)
  • ibapi

Installation

1. Clone the repository.
2. Install the required dependencies using pip:

   cd stockAnalyzer
   pip install -r requirements.txt

3. Run the script:

   cd src
   python stockAnalyzer.py
   

Usage

1. Launch the Application: Run the script to open the GUI.
2. Add Tickers: Use the "Add" button to add stock tickers to the watchlist.
3. Select a Ticker: Click on a ticker in the watchlist to load its data.
4. View Charts: View daily and weekly candlestick charts with technical indicators.
5. Adjust Timeframe: Use the "Years" input to change the analysis period (1–20 years).
6. Company Information: View detailed company information in the "Company Information" section.

Example

1. Add a stock ticker (e.g., AAPL) to the watchlist.
2. Select the ticker to load its data.
3. View the daily and weekly charts with technical indicators.
4. Adjust the analysis period using the "Years" input.

Troubleshooting

• Rate Limits: The script uses curl_cffi to handle the rate limits failure when using Yahoo Finance.

License

Apache-2.0 license

Acknowledgments

• Yahoo Finance API
• mplfinance
• InteractiveBrokers Download