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WAN/STUDIO
001Case study

SST

An AI-assisted market research and stock analysis terminal.

Project number
001
Category
Fintech / AI / Data
Status
Live
Year
2025

01

The idea

A research terminal for people who take the market seriously but do not have an institutional desk behind them. Screening, watchlists, portfolios and analysis in one place, with an AI layer that can read the same data the user sees.

02

The problem

Retail research is scattered across screeners, charting sites, spreadsheets and news tabs. Every question means re-assembling the same context by hand, and most AI tools answer without ever looking at the actual numbers.

03

The build

A data pipeline ingests market, fundamental and technical data into Postgres. Screening, heatmaps, sector rotation and breadth are computed server-side. The AI layer is grounded on those endpoints rather than on memory, and is exposed both inside the terminal and as an MCP server so external agents can use the same tools.

04

The product

A dense, dark, keyboard-friendly interface: screener, watchlists, portfolio tracking, technical and fundamental analysis views, market heatmaps and an analysis assistant that cites the data it used.

05

The stack

  • Next.js
  • TypeScript
  • Supabase
  • PostgreSQL
  • LLM APIs
  • Market data APIs
  • MCP

06

The result

Live at terminal.screenersociety.com and in active development. The terminal is the daily research surface for Screener Society.