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AutoFinViz

Overview

AutoFinViz is an innovative financial visualization tool powered by Large Language Models (LLMs). It is designed to address the complexities of financial data analysis by integrating advanced LLM capabilities for insightful data visualization. AutoFinViz offers a unique approach to processing financial datasets, making the visualization process more efficient and user-friendly.

Key Features

  • Data Classification: Categorizes financial datasets for targeted analysis.
  • Summarization: Converts data into concise, informative summaries.
  • Question Formulation: Generates relevant questions for deeper data exploration.
  • Visualization: Creates insightful plots and graphs based on the processed data.
  • User-Friendly Interface: Built with Streamlit for ease of use and interactivity.

Installation

Clone the repository and install the required packages:

git clone https://github.com/HowardChen123/AutoFinViz.git
cd AutoFinViz
pip install -r requirements.txt

Usage

Running Locally

Run the Streamlit app to interact with the tool:

streamlit run streamlit_app.py

Live Application

For immediate access to AutoFinViz, visit the live application hosted on Streamlit Cloud: AutoFinViz on Streamlit Cloud

Project Paper

For a comprehensive understanding of the concepts, methodologies, and insights behind AutoFinViz, please refer to our detailed project paper: AutoFinViz.

autofinviz's People

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autofinviz's Issues

Summarizer for Corporate Data

Task Description

  • Determine the key aspects that are typically of interest for Corporate data
  • Implement the summarizer for Corporate data

Definition of Done

  • Summarizer for Corporate Data is implemented and merged

Summarizer for Economic Data

Task Description

  • Determine the key aspects that are typically of interest for Economic data
  • implement the summarizer for economic data

Definition of Done

  • Summarizer for Economic data and merged

Summarizer for Market Data

Task Description

  • Determine the key aspects that are typically of interest for Market data
  • Implement the summarizer for market data

Definition of Done

  • Summarizer for Market Data is implemented and merged

Summarizer Abstract Class

Task Description

  • Determine the attributes and methods necessary for the Summarizer

Definition of Done

  • Class is pushed and merged

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