← Projects Project 04 · Agent framework

Agentic Investment & Trading

Coordinated AI agents for research, portfolio construction, risk and execution. Each agent works inside explicit limits, every action is logged, and a human signs off before capital moves.

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How it works
01

Agents research, build and stress-test a portfolio within set limits.

02

Every proposal and action is written to an audit log.

03

A person approves before any order is released.

Method
Problem

An investment workflow chains many specialised tasks. Automating it end to end is risky without hard limits and oversight.

Method

Cooperating agents for research, portfolio construction, risk and execution. Each one works inside explicit constraints and hands off through a logged, reviewable protocol.

Inputs

Market data, a research corpus, mandate constraints and risk limits.

Outputs

Proposed trades, risk reports and a complete decision log.

Stays on your machine

Models, data and logs run on infrastructure you control.

Limits

Agents can compound one another's errors, which is why the hard limits and the human gate are built in. The framework is at the research stage.