karan842/stock-agent-ops
Designing end-to-end weekly stock report generation using LSTM and Agentic AI. Deploying on AWS with MLOps practices.
This project helps financial analysts and traders automate the creation of detailed weekly stock market reports. By inputting a stock ticker, you receive a Bloomberg-quality report synthesizing LSTM-based price predictions, technical indicators, and recent market news. It's designed for professionals who need fast, consistent, and comprehensive insights into specific stock performance.
201 stars.
Use this if you are a financial analyst or trader needing automated, in-depth weekly stock reports that combine predictive modeling with market news and expert analysis.
Not ideal if you are looking for a simple stock price forecast without the need for comprehensive reports or advanced market analysis.
Stars
201
Forks
43
Language
Python
License
—
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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