SECStreamPy 2.2.0

SECStreamPy is a Python package that simplifies extracting and displaying SEC filing data.

SECStreamPy Library

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Introduction

SECStreamPy is a powerful and user-friendly Python package designed to enhance data analysis. It simplifies the extraction and presentation of information for various forms from the SEC website, offering enriched data display for SEC form types, filing details, and financial statements, making it an essential tool for professionals working with regulatory filings.

Features

• 📁 Access any SEC filing: You can access any filings on SEC forms of Form 8-K and Form 10-K etc.
• 📅 List filings for any date range: List filings by date e.g. or date range 2024-02-29:2024-03-15
• 🌟 User Friendly library: Uses rich & tabulate library to display SEC Edgar data in a beautiful way.
• 🏗️ Filter filings data: Build data filtering by cik, accession number, form type, filing date
• 🔍 Preview the text data for a filing: You can preview the filing (sections) in the terminal or a notebook.
• 📊 Parse to Dataframe: You can parse filings to a dataframe.
• 📈 Financial Statement: Get financial statements of Form 8-K and Form 10-K of various companies.

Get Started on Windows/MacOS/Linux Terminal

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You can use Poetry or any dependency manager or use the general pip install command to install SECStreamPy. Before you install SECStreamPy,it is best to set your environment variable SEC_IDENTITY in a .env file.

Set up SEC_IDENTITY environment variable in a .env file in your project.

SEC_IDENTITY=<your sec identity here>

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You can install the latest SECStreamPy version or any version. Below is how to use the latest version of SECStreamPy or any version in your terminal.

pip install --upgrade SECStreamPy

or

pip install SECStreamPy==<latest version number here>   

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Using pip command to install SECStreamPy

pip install SECStreamPy

Using Poetry to install SECStreamPy

1. Open your terminal and install poetry [if you do not have poetry] using pip.

   pip install poetry
   

   or Install poetry using pipx.

   pipx install poetry
   

   or Install using curl

   curl -sSL https://install.python-poetry.org | python3 -
   

2. Create a project using poetry command. This will create a pyproject.TOML in your project. Follow the instructions to finish creating your project

   poetry new project_name
   

3. Change directory to your project

   cd project_name
   

4. Run the poetry command to add SECStreamPy:

   poetry add SECStreamPy
   

Use SECStreamPy with Jupyter

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1. Open notebook in your project and install SECStreamPy using pip command.

   pip install SECStreamPy
   

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Do you have any issue or want to contribute to SECStreamPy library?

If you have any issue or contribution, please write an issue with this link: https://github.com/DataDock-AI/SECStreamPy/issues