Open Documentation
Agentic Systems Cookbooks
Multi-agent systems built from language models: simulations, environments, personas, and the infrastructure needed to run many agents at once.
In this collection: Agentic Market Simulator, Part 1: The Engine and the Environment; Agentic Market Simulator, Part 2: Universe, Information and Leakage; Agentic Market Simulator, Part 3: Actions, Personas and Track Record; Using LLMs for Financial Applications: Bias & Considerations.
Agentic Market Simulator, Part 1: The Engine and the Environment
Part 1 of a 10-part series simulating a stock market traded by language-model agents. Build the call-auction clearing engine and benchmark it against zero-intelligence controls before any model is involved.
Agentic Market Simulator, Part 2: Universe, Information and Leakage
Part 2 of a 10-part series simulating a stock market traded by language-model agents. Move from a synthetic fundamental to real S&P 500 data, measure lookahead bias with a fabricated-financials experiment, and build a re-identification probe to test anonymization.
Agentic Market Simulator, Part 3: Actions, Personas and Track Record
Part 3 of a 10-part series simulating a stock market traded by language-model agents. Build a calibrated attention layer that decides who trades and why, grounded in the no-trade theorem, before a single language model call is made.
Using LLMs for Financial Applications: Bias & Considerations
A running reference on bias in LLM-based financial judgment: model memorization of real companies from raw financials, and how framing, naming, and batching change scores even when the underlying data is held fixed.