Open Source End-to-End Stock Report System Using LSTM and Agentic AI
kmeanskaran · x · 2026-08-18
Project Overview
The user open-sourced stock-agent-ops, demonstrating an end-to-end system for generating weekly stock market analysis reports. It combines Transfer Learning (LSTM) with Agentic AI (LangGraph) and deploys on AWS using MLOps practices.
Tech Stack & Architecture
- Backend: Includes feature store, monitoring, and logging modules.
- Frontend: Provides a visualization interface.
- Deployment: Supports Docker and Kubernetes, integrated with Grafana and Prometheus.
- Dependencies: Uses uv for fast dependency management.
Core Features
- Automated stock data fetching and processing.
- Time series forecasting using LSTM models.
- Report generation orchestrated via LangGraph agents.
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