# How I Built a Real-Time AI Stock Advisor Using Elasticsearch, MCP, and LLMs

Page: https://stenobird.com/podcast/tech-stories-tech-brief-by-hackernoon-6365648/how-i-built-a-real-time-ai-stock-advisor-using-elasticsearch-mcp-and-llms
Text version: https://stenobird.com/podcast/tech-stories-tech-brief-by-hackernoon-6365648/how-i-built-a-real-time-ai-stock-advisor-using-elasticsearch-mcp-and-llms.md
Podcast: [Tech Stories Tech Brief By HackerNoon](https://stenobird.com/podcast/tech-stories-tech-brief-by-hackernoon-6365648)
Published: 2026-05-01T16:00:56+00:00
Episode link: https://share.transistor.fm/s/89bdd5fe
Audio file: https://media.transistor.fm/89bdd5fe/872236d6.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/tech-stories-tech-brief-by-hackernoon-6365648/episodes/how-i-built-a-real-time-ai-stock-advisor-using-elasticsearch-mcp-and-llms
Duration seconds: 983

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/how-i-built-a-real-time-ai-stock-advisor-using-elasticsearch-mcp-and-llms . Build a pre-market stock analysis system using Elasticsearch, Airflow, and LLMs to surface momentum signals automatically. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories . You can also check exclusive content about #ai-stock-analysis , #elasticsearch , #elasticsearch-stock-data , #mcp-trading-system , #llm-for-financial-analysis , #kibana-stock-dashboard , #airflow-trading-pipeline , #algorithmic-trading-system , and more. This story was written by: @gowtham448 . Learn more about this writer by checking @gowtham448's about page, and for more stories, please visit hackernoon.com . This article walks through building an automated stock analysis pipeline that runs overnight and delivers pre-market insights. By combining data ingestion, sentiment analysis, technical indicators, and LLM-based synthesis through MCP tools, the system surfaces top momentum candidates before market open. The key takeaway is that structured pipelines can turn raw market data into actionable signals without relying on manual chart analysis.

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/tech-stories-tech-brief-by-hackernoon-6365648/episodes/how-i-built-a-real-time-ai-stock-advisor-using-elasticsearch-mcp-and-llms/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/tech-stories-tech-brief-by-hackernoon-6365648/how-i-built-a-real-time-ai-stock-advisor-using-elasticsearch-mcp-and-llms.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.