SEC 10-K Filings Data

This Python script lets you download SEC 10-K filings for specified companies from the SEC website using the sec-edgar-downloader package.

Requirements

• Python 3.x
• sec-edgar-downloader package (install using pip install sec-edgar-downloader)
• LLM API Key

Task 1.1: Fetch the data

1. Clone this repository to your local machine using

   git clone https://github.com/Saherpathan/FinTech.git
   

2. Open a terminal or command prompt and navigate to the directory containing the script.

3. Run the script using:

   python fetch_data.py
   

Notes

• Please ensure you have proper permissions and internet connectivity to access the SEC website for downloading filings.
• Make sure to handle any errors during the download process.
• You can customize the list of companies/tickers and the time range as per the requirement.

Task 1.2: Text Analysis

• Used LLM API from google-generativeai to perform text analysis on the downloaded 10-K filings.
• Conducted natural language processing tasks such as tokenization, stop words removal, and frequency distribution calculation using nltk.
• Generated visualizations using matplotlib.

Task 2: Construct and Deploy Simple App

• Created a simple app using streamlit that takes a company ticker as input and displays relevant visualizations.
• streamlit was chosen for its simplicity and ease of hosting web apps, allowing for quick deployment.
• Run the application using:

   streamlit run app.py