About Stocker

Stocker started as a personal project to identify trending stocks before they hit mainstream media coverage.

Why this approach

The data pipeline here is intentionally built to minimize AI dependency in the core workflow: data collection, filtering, enrichment, querying, and report generation.

Relying on an LLM for exact required outputs is like expecting exact values from a raffle draw. If you are serving raffle numbers at all, you should tightly control the pool of possible outputs first.

Personal context

People who discover these stocks early usually either have insider information or access to expensive stock recommendation services.

I am subscribed to one of these services myself (at the cheapest tier), and from experience, my most lucrative stocks were found through alternative and independent research.