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Bullpen.sh

Bullpen.sh

Stock and portfolio research through your own coding agent

0upvotes
Launched May 2, 2026
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About Bullpen.sh

Bullpen.sh is a desktop application designed for stock and portfolio research, leveraging the power of coding agents such as Claude Code, Codex, and Gemini. It empowers investors and financial enthusiasts to perform in-depth market analysis using customizable code snippets, all while maintaining control over their data. The tool emphasizes privacy by keeping all data local on the user's machine and allows users to integrate their own API keys, ensuring a secure and personalized experience. Its ability to generate detailed reports with sources makes it a valuable resource for those who want to combine automation with transparency in their investment research. With its focus on open-source principles and GitHub integration, Bullpen.sh caters to technically inclined users who prefer a flexible, programmable approach to stock analysis.

Screenshots

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+3 more screenshots

Pros

  • ✓Supports integration with popular AI coding agents like Claude Code, Codex, and Gemini
  • ✓Data remains on user’s local machine, enhancing privacy and security
  • ✓Customizable and scriptable for advanced users
  • ✓Generates detailed research reports with sources
  • ✓Open source and GitHub friendly, encouraging community development

Cons

  • ✗Requires familiarity with coding and API integration
  • ✗Limited user base and community support compared to mainstream tools
  • ✗Potentially steep learning curve for non-technical users

Use Cases

1Automated stock and portfolio analysis through custom scripts
2Creating personalized investment research reports
3Backtesting trading strategies with local data
4Integrating AI agents for real-time market insights
5Developing open-source tools for financial analysis
6Securely managing API keys for various data sources

Pricing

Likely operates on a freemium model, offering core features for free with optional paid plans for advanced functionalities or support. Exact pricing details are not specified, but the emphasis on user-controlled keys and local data suggests a focus on individual or developer use cases.

Quick Info

Category👥 HR & Recruiting
Upvotes0
Comments0
Launched5/2/2026

Topics

ProductivityOpen SourceInvestingGitHub

Alternatives

•TradingView
•QuantConnect
•Alpaca
•MetaStock
•Stock Rover

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