InvestLearn Studio (prototype)
================================

InvestLearn Studio is an offline-first, verifiable learning engine for investment education.

This repository contains a focused, well-tested chunk of functionality for the MVP:

- A small DSL parser to declare learning objectives and preferences
- Two learning modules: risk literacy and basic portfolio concepts
- A deterministic market simulation engine (seeded RNG)
- A tiny verifiable ledger to attest to completed modules and quiz results
- A toy analytics harness using pandas

Usage
-----

Run tests and build the package:

```
./test.sh
```

Project structure
-----------------

- src/idea128_investlearn_studio_verifiable: core package
- tests/: pytest tests
- AGENTS.md: contribution and architecture guidance for agents

License: MIT (prototype)