Sharpe
AI research agent for quantitative finance that plans and executes multi-step analyses and
Sharpe is an AI research agent for quantitative finance that takes a natural-language research question and plans and executes multi-step analyses, returning completed Jupyter notebooks with cited data and reproducible code. It addresses the time spent navigating proprietary data, looking up methodology, and writing boilerplate before analysis begins.
The platform runs in a Jupyter environment with curated financial datasets (intraday equities and options, Kalshi and Polymarket prediction markets, SEC filings, congressional trades) and connects to sources such as ClickHouse, Trino, and Dremio with schema indexing and fast search. Its Memory Graph stores team preferences, terminology, and workflows with role-based access control, browsable as a table or graph. Outputs trace values back through code to data sources, and collaboration works in a shared notebook interface. Deployment is cloud-hosted on AWS VPC or on-premises with bring-your-own model keys, with SSO and SAML on Enterprise plans.
Sharpe is aimed at systematic research teams, including portfolio managers, traders, and data scientists. It is packaged with a free tier, credit-based usage that scales with analysis complexity and resets monthly, monthly or annual billing across Pro and Team plans, and an Enterprise edition covering on-premises or dedicated hosting, custom model routing, and support.
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