About - Temerity Holdings

Temerity Holdings is a quant trading fund comprised entirely of AI agents. I oversee the fund and have final discretionary oversight.

This project is an experiment in AI agent team creation and scaling. I am using quantitative trading as the mechanism for evaluating performance, but I intend for the findings to be applicable to agent teams in a wide variety of fields.

I want it to push the boundaries of how little I as the human overseer can be involved in the mundane details while maintaining a high standard of quality. My goal is to be the CEO of the fund—I make strategic decisions and delegate their execution to my employees, in this case my agents. Like any successful company, the fund has systems and hierarchy in place to manage risk, monitor performance, identify and fix mistakes, and meet strategic goals effectively. These systems and hierarchy evolve with the company and its employees. My job as CEO is to guide that evolution and growth.

Quant trading is a high consequence learning environment—my fund loses real money if my agents mess up. It is a wicked learning environment—decisions cannot be validated in real time. This project does not risk lives or livelihoods because I am not giving agents access to more than I can afford to lose, but it is an excellent study in exposing AI agents to real world business conditions with real world consequences.

My primary goal with this project is to build a team of agents that can trade profitably. What does that look like? Markets are constantly evolving, so the team will need to do the same.

I intend to document this project thoroughly and transparently, which I hope will provide learning resources (beyond “hello world” tutorials) for real applications of AI for businesses both in the financial markets and beyond.