Stock Data Analysis Script

This Python script allows you to analyze stock data from AlphaVantage and filter stocks based on custom threshold values for various financial ratios. It reads a list of stock tickers from a text file, fetches data for each ticker, checks if the data meets the specified criteria, and exports the passed stocks to an output file.

Getting Started

Prerequisites

• Python 3.x
• Required Python libraries: requests

You can install the required libraries using pip:

pip install requests

AlphaVantage API Key

Before using the script, you need to obtain an API key from AlphaVantage. You can sign up for a free API key on the AlphaVantage website here.

Usage

Clone or download this repository to your local machine.

Open the script and replace "API_KEY" with your AlphaVantage API key.

Add your desired tickers into ticker.txt, each on a new line.

Customize the thresholds dictionary with your desired threshold values for various financial ratios.

Run the script

python main.py

The script will fetch data for each stock ticker within ticker.txt, compare it against the specified thresholds, and export the passed stocks to an output file named output.txt.

Error checking

If it happens that you are getting ratio errors or lack of data, make sure you are accounting for the 5 per minute request limit (on free API keys). If that isn't the issue, input the ticker causing the error into get_ticker_data.py and analyze the input, here you can see if you are receiving the correct data, or referencing said data correctly.

License

This project is licensed under the MIT License

Acknowledgements

This script uses the AlphaVantage API to fetch stock data. You can find more information about the AlphaVantage API here.

Special thanks to the Python community for providing helpful libraries and resources for data analysis and automation.