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UditGupta10/GPT-InvestAR
Using LLMs on annual reports to inform stock strategies
What it is
A project that uses large language models to analyse company annual reports in support of stock investment strategies. The model reads report text and produces signals that can be combined with your own investment framework. Researchers and developers interested in LLM applications for fundamental investing are the target audience. It is a research exploration, and signals extracted from reports need validation before being used for decisions.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Strategy research, Data analysis |
| Markets | US equities |
| Stack | Python |
| Learning curve | Moderate learning curve |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | No commits in over six months |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): 0 over the period, now 271. Gaps mean no snapshot was taken that day.
Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models
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