{"repo":"kmeanskaran/stock-agent-ops","free":true,"listed":false,"github":"https://github.com/kmeanskaran/stock-agent-ops","clone":"git clone https://github.com/kmeanskaran/stock-agent-ops.git","description":"Designing end-to-end weekly stock report generation using LSTM and Agentic AI. Deploying on AWS with MLOps practices.","language":"Python","stars":305,"topics":["devops","machine-learning","mlops","neural-network","python","agentic-ai","aws"],"license":null,"category":"machine-learning","readme_excerpt":"📈 MLOps Pipeline: End-to-End Weekly Stock Report Generation Design an end-to-end automated system for weekly stock market analysis using Transfer Learning (LSTM) and Agentic AI (LangGraph). --- 🏗️ Clone & Local Setup 1. Clone the Repository 2. Local Environment Setup (Using UV) We use uv for lightning-fast dependency management. --- 🌟 Overview This project is a production-grade MLOps pipeline that automates the entire lifecycle of stock price prediction and financial reporting. It shifts from traditional monolithic ML scripts to a modular, scalable architecture using modern MLOps tools. Key Capabilities: - 🧠 Transfer Learning : Uses a Parent-Child architecture (S&P 500 base model) to predict individual stock prices accurately with minimal data. - 🤖 Agentic AI : A multi-agent system (LangGraph) that acts as a financial analyst, market expert, and editor to generate Bloomberg-quality reports. - 📖 Deep Learning & Design : Explore the In-depth System Design Guide for a technical breakdown. - ⚡ Real-time Serving : Low-latency predictions powered by FastAPI and Redis caching (1-day TTL). - 🍽️ Feature Store : Consistent data management for training and serving using Feast . - 🔍 Observability : Full-stack monitoring with Prometheus, Grafana, and Evidently AI for data drift detection. --- 🏗️ Technical Architecture --- 🛠️ Tech Stack Component Technology :--- :--- Model PyTorch (LSTM) LLM Engine Ollama ( gpt-oss:20b-cloud ) Embeddings Ollama ( nomic-embed-text ) AI Agents Lang","default_branch":null,"files":null,"tree":[],"storefront":"/r/kmeanskaran","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kmeanskaran/stock-agent-ops/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}