Jane Street Details How AI Raises the Stakes for Trading Data Work
Sign in✓ Signed in
Jane Street has laid out how LLMs and stronger machine-learning models are changing trading research: they make messy external data more useful, but also make provenance, timestamps and human judgment more important. In a September 2 Signals and Threads episode, Eric Mannes, who helps lead the firm's alternative data team, described a workflow built around preserving what data was available at the time, not just what later corrections made accurate.
Continue reading
The rest of this article is for AI News Blitz readers. Choose an option below to keep reading.
Already purchased? Sign in✓ Signed in — this article isn’t included in your current plan.
Unlocking the full article...