How Jump Trading is scaling quant research with ChatGPT
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Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems.
Key facts
- Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- Baker says that with GPT‑6 Astra, agents are now capable of not only finding meaningful and practical changes, but merging and stacking those wins together in a process of recursive improvement
- Today, even GPT‑6 Astra’s longest-running work still involves regular check-ins with the person defining the task—not only what data to pull, how long to run, and what counts as important
- Jump Trading works across every time horizon and asset class
Summary
As a quantitative trading firm, Jump Trading creates predictive models that use market data, news and events, and a range of alternative data sources to make the best possible predictions about asset prices. Baker leads agentic research and development, and he’s focused on building the agents, harnesses, and infrastructure that let quantitative researchers explore their ideas in greater breadth and depth. Over the past year, AI has transformed from a helpful tool, useful for writing one-off code snippets or finding small bugs into a capable, versatile system that can develop entire codebases and services by itself. Baker says that with GPT‑6 Astra, agents are now capable of not only finding meaningful and practical changes, but merging and stacking those wins together in a process of recursive improvement.