AI Lab — hyped AI topics, honestly graded

The hyped AI/quant topics people search for, mapped honestly to what Quantustik actually ships — grounded in a real artifact, or clearly labelled educational. Nothing here is a performance promise.

Topic 1: Quantum-mechanics-based stock forecasting (core)

Quantustik's core forecasting engine — a Schrödinger-equation + Feynman path-integral model with publicly calibrated confidence bands, including the failures. See the full page.

Topic 2: Built by AI agents (core)

Quantustik itself is built by parallel Claude Code agents in specialised roles, coordinating with a human founder through a public GitHub Issues task pool — a real, verifiable workflow, not a marketing story. See the full page.

Topic 3: MCP server for AI investing agents (core)

A live, hosted Model Context Protocol server exposing S&P 500 signals, forecasts, and market-regime data so AI agents can query Quantustik directly. See the full page.

Topic 4: LLM stock analysis & AI sentiment (core)

Two real LLM features layered on top of the quantitative model — a per-ticker AI summary and a news-sentiment score — framed honestly as context, not a trading signal. See the full page.

Educational research only — not investment advice.