I came here from the paper and wanted to see how the agents interact without first wiring up model keys and a market-data subscription.
Since the framework is about coordinating multiple roles, a tiny deterministic example would make the architecture much easier to understand. Something like python examples/demo.py --offline that uses one ticker, a short date range, canned market data, and mocked LLM outputs would be enough to show the decision pipeline and final trade proposal.
This would also be useful for CI and for users who just want to sanity-check their install before configuring real credentials. If a demo already exists, it might be worth linking it prominently in the README quickstart.
I came here from the paper and wanted to see how the agents interact without first wiring up model keys and a market-data subscription.
Since the framework is about coordinating multiple roles, a tiny deterministic example would make the architecture much easier to understand. Something like
python examples/demo.py --offlinethat uses one ticker, a short date range, canned market data, and mocked LLM outputs would be enough to show the decision pipeline and final trade proposal.This would also be useful for CI and for users who just want to sanity-check their install before configuring real credentials. If a demo already exists, it might be worth linking it prominently in the README quickstart.