Financial Report Analysis Project

Overview

This project provides tools for analyzing financial reports, specifically annual reports (10-K), using advanced language models such as GPT-4 or other locally deployed Large Language Models (LLM). It's designed to help users generate comprehensive analysis reports in PDF format, offering insights into a company's financial health and performance over the fiscal year.

Features

PDF Report Generation: Automatically generate detailed analysis reports in PDF format for annual financial statements.
GPT-4 and LLM Support: Utilize the power of GPT-4 or any locally deployed LLM for deep and insightful analysis.
RAG Support: The ability to utilize the power of RAG for question-answering and summarization tasks.
Customizable Analysis: Users can modify the analysis scope by choosing different company symbols and models.
Easy to Use: Designed with simplicity in mind, simply run all cells in the provided notebook to get your report.

Requirements

Before starting, ensure you have the following installed:

Python 3.11 or later
Jupyter Notebook
Necessary Python packages (pandas, matplotlib, openai, etc.)

Obtain the sec-api (which is used to grab the 10-K report) from https://sec-api.io/profile for free.

(Optional) Obtain the fmp api for target price (paid) from https://site.financialmodelingprep.com/developer/docs/dashboard.

Getting Started

To begin analyzing financial reports:

(optional) Prepare the local LLM: If you want to run the analysis with the locally deployed models, please download Ollama and have it running: https://ollama.com/download. Also, download the model you want to use in the list of available models: https://ollama.com/library with command:
```
 ollama run <model_name>
```
Open the Notebook: Launch Jupyter Notebook and open the reportanalysis.ipynb file:
```
jupyter notebook reportanalysis.ipynb
```
All the necessary libraries and dependencies are already imported in the notebook.
Configure the Notebook: Modify the company symbol and models variables within the notebook to suit the analysis you wish to perform.
Run the Analysis: Execute all cells in the notebook to generate your financial report analysis in PDF format.

Contributing

We welcome contributions and suggestions! Please open an issue or submit a pull request with your improvements.