Stock Data Fetcher

Overview

This Python script provides a user-friendly interface to fetch historical stock data for specified tickers. Users can input a range of tickers via a CSV file, select the desired date range and data granularity, and receive consolidated stock data in a structured format.

Structure

• gui.py: Contains the code for the graphical user interface.
• data_processing.py: Handles fetching and saving the stock data.
• tickerTracker.py: The main script that orchestrates the flow of the application.

Features

• CSV Input for Tickers: Input multiple stock tickers through a CSV file with an option to skip the first row.
• Customizable Date Range: Specify start and optional end dates for fetching historical data.
• Selectable Data Period: Choose data frequency (e.g., daily, weekly, monthly) via a dropdown menu.
• Graphical User Interface: A modern GUI built with CustomTkinter.
• Output Customization: Specify the output file name, saved in the 'output/' directory.
• Data Consolidation: Consolidate data from all tickers into a single CSV file.

How to Run

1. Clone or download the repository.
2. Install necessary Python libraries by running pip install -r requirements.txt.
3. Run the main script: python tickerTracker.py.
4. Follow the instructions in the GUI to input your data and preferences.

How to Use

1. CSV File Path: Use 'Browse' to select a CSV file with stock tickers.
2. Skip First Row: Check if your CSV has a header row.
3. Start Date: Enter the start date (YYYY-MM-DD).
4. End Date: Optionally, enter the end date (YYYY-MM-DD).
5. Period: Select data frequency from the dropdown (e.g., '1d').
6. Output File Name: Enter a name for the output file.
7. Click 'Submit' to fetch data and save it to the specified output file.

Dependencies

• Python
• CustomTkinter
• Pandas
• yfinance