
Synthesizing Market Data with Autoregressive Flow Matching
Jane Street researchers used flow-matching diffusion and 'atom smoothing' to create a generative model capable of synthesizing complex, discrete-continuous market data streams.
Applications of artificial intelligence and large language models in finance, including investment analysis, corporate finance, accounting, tax, and financial modeling.

Jane Street researchers used flow-matching diffusion and 'atom smoothing' to create a generative model capable of synthesizing complex, discrete-continuous market data streams.

An open-source multi-agent LLM framework that simulates a professional trading firm's workflow for financial market analysis and decision-making.

Ramp's Sheets AI was vulnerable to a prompt injection attack that allowed malicious formulas to exfiltrate private financial data without user approval.

LangAlpha is a persistent, code-executing AI agent harness tailored for sophisticated financial research and investment analysis.
Claude Opus 4.6 and new app integrations bring state-of-the-art finance reasoning and faster, higher-quality deliverables directly into analysts’ workflows.