The quantitative workbench for
prediction market trading.

Sharpe is a Data Science agent, built for time-series and financial analysis. Execute complete studies in Jupyter Notebooks on your data: hosted, on your machine, or on your cloud.

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© 2026 Sharpe

Sharpe is leverage for your analytical expertise. Purpose built around quantitative workflows, Sharpe gives you the context you need to maintain methodological rigor as you test every hypothesis.

001 — Agent

Battle tested at petabyte scale, Sharpe generates performant, readable notebooks tuned for the libraries and patterns you already use, from solo research to firm-wide deployment.

Preferred data sources, analysis patterns, data quirks. Sharpe learns from your team's notebooks and applies those patterns to new studies.

002 — Memory

Memories are shared across your team with granular permissions. Teams accumulate shared eforceable standards and best practices, while individuals tailor Sharpe to their own workflows.

Reference market tick data, a Confluence page, a Clickhouse dataset, or another notebook with @ and Sharpe pulls in the relevant context automatically.

003 — Connectors

Sharpe ships with a rich knowledge base of market and reference data, and connects to your existing data environment. Documentation stores, schemas, and internal libraries are indexed and structured as a searchable knowledge base. Metadata and usage analysis lets Sharpe make informed decisions when navigating high-scale data environments without hand holding.

Complete Jupyter notebooks as output. Ready to read, run, disseminate, and iterate. Full Execution Provenance, from Source to Cell. No proprietary formats or bolted-on interfaces.

004 — Jupyter

Sharpe can work autonomously in a hosted environment, or fully integrate with your existing Jupyter setup. Every notebook is a familiar .ipynbfile, that runs locally, or via your organization's JupyterHub. No vendor lock-in, your notebooks, your infrastructure, your IP. Step through Sharpe's execution with per-cell edit histories and data source citations for every notebook: a complete record of what happened and why. Gate sensitive operations with configurable approvals for your team. Publish notable findings to your team, and collaborate in shared workspaces.

Need to keep data on your infrastructure?

Sharpe supports BYOC; deploy into your VPC, using your pre-existing JupyterHub, Query Engines, and Object Stores. Sharpe integrates seamlessly with your production toolchain. Nothing leaves your network boundary.

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Pricing

Try Sharpe for Free, with included data and generous credits.

Free

$0Trial

Explore Sharpe

  • Hosted Sandbox, or Local Jupyter Tunnel
  • Generous Free Credits
  • Full Access to Sharpe Agent
Start Trial

Pro

$200/ month

All of Sharpe, in a Hosted Environment.

  • Collaborative Workspaces
  • Slack Channel Support
  • 200,000 Credits / Month
  • Up to Five Team Members
Get Started

Enterprise

Custom

For Organizations with Custom Deployment Requirements.

  • SSO & SAML
  • BYOC or Dedicated Hosting
  • Custom Model Routing
  • Priority Support
  • Forward Deployment Services Available
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For Performance-Driven Teams

Built for individuals and teams where analytical quality is competitive edge. Sharpe understands the full analytical workflow, and is designed to be a force multiplier for those who refuse to compromise on rigor.